From 8cf5e0a188e2f603a4d57706b27471e94a57e3ff Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 27 Apr 2023 14:58:53 +0200 Subject: [PATCH 001/192] Add geodataframe to centroids: first commit --- climada/hazard/centroids/centr.py | 295 ++++++------------------------ 1 file changed, 61 insertions(+), 234 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 6fe5a69a4a..8ac385f16d 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -79,26 +79,22 @@ class Centroids(): Attributes ---------- - meta : dict, optional - rasterio meta dictionary containing raster properties: width, height, crs and transform - must be present at least. The affine ransformation needs to be shearless (only stretching) - and have positive x- and negative y-orientation. - lat : np.array, optional - latitude of size size - lon : np.array, optional - longitude of size size - geometry : gpd.GeoSeries, optional - contains lat and lon crs. Might contain geometry points for lat and lon + lat : np.array + latitudes + lon : np.array + longitudes + crs : str, optional + coordinate reference system, default is WGS84 area_pixel : np.array, optional - area of size size + areas dist_coast : np.array, optional - distance to coast of size size + distances to coast on_land : np.array, optional - on land (True) and on sea (False) of size size + on land (True) and on sea (False) region_id : np.array, optional - country region code of size size + region numeric codes elevation : np.array, optional - elevation of size size + elevations """ vars_check = {'lat', 'lon', 'geometry', 'area_pixel', 'dist_coast', @@ -107,10 +103,9 @@ class Centroids(): def __init__( self, - lat: Optional[np.ndarray] = None, - lon: Optional[np.ndarray] = None, - geometry: Optional[gpd.GeoSeries] = None, - meta: Optional[Dict[Any, Any]] = None, + lat: np.ndarray, + lon: np.ndarray, + crs: str = DEF_CRS, area_pixel: Optional[np.ndarray] = None, on_land: Optional[np.ndarray] = None, region_id: Optional[np.ndarray] = None, @@ -121,18 +116,12 @@ def __init__( Parameters ---------- - lat : np.array, optional + lat : np.array latitude of size size. Defaults to empty array - lon : np.array, optional + lon : np.array longitude of size size. Defaults to empty array - geometry : gpd.GeoSeries, optional - contains lat and lon crs. Might contain geometry points for lat and lon. - Defaults to empty gpd.Geoseries with crs=DEF_CRS - meta : dict, optional - rasterio meta dictionary containing raster properties: width, height, crs and - transform must be present at least. The affine ransformation needs to be - shearless (only stretching) and have positive x- and negative y-orientation. - Defaults to empty dict() + crs : str + coordinate reference system area_pixel : np.array, optional area of size size. Defaults to empty array on_land : np.array, optional @@ -144,38 +133,39 @@ def __init__( dist_coast : np.array, optional distance to coast of size size. Defaults to empty array """ + self.gdf = gpd.GeoDataFrame({ + 'geometry': gpd.points_from_xy(lon, lat, crs=crs), + 'on_land' : on_land, + 'region_id' : region_id, + 'elevation' : elevation, + 'area_pixel' : area_pixel, + 'dist_coast' : dist_coast, + }) - self.lat = lat if lat is not None else np.array([]) - self.lon = lon if lon is not None else np.array([]) - self.geometry = geometry if geometry is not None else gpd.GeoSeries(crs=DEF_CRS) - self.meta = meta if meta is not None else dict() - self.area_pixel = area_pixel if area_pixel is not None else np.array([]) - self.on_land = on_land if on_land is not None else np.array([]) - self.region_id = region_id if region_id is not None else np.array([]) - self.elevation = elevation if elevation is not None else np.array([]) - self.dist_coast = dist_coast if dist_coast is not None else np.array([]) - - def check(self): - """Check integrity of stored information. - - Checks that either `meta` attribute is set, or `lat`, `lon` and `geometry.crs`. - Checks sizes of (optional) data attributes.""" - n_centr = self.size - for var_name, var_val in self.__dict__.items(): - if var_name in self.vars_check: - if var_val.size > 0 and var_val.size != n_centr: - raise ValueError(f'Wrong {var_name} size: {n_centr} != {var_val.size}.') - if self.meta: - for name in ['width', 'height', 'crs', 'transform']: - if name not in self.meta.keys(): - raise ValueError('Missing meta information: %s' % name) - xres, xshear, _xoff, yshear, yres, _yoff = self.meta['transform'][:6] - if xshear != 0 or yshear != 0: - raise ValueError('Affine transformations with shearing components are not ' - 'supported.') - if yres > 0 or xres < 0: - raise ValueError('Affine transformations with positive y-orientation ' - 'or negative x-orientation are not supported.') + @property + def lat(): + return self.gdf.geometry.y + @property + def lon(): + return self.gdf.geometry.x + @property + def geometry(): + return self.gdf['geometry'] + @property + def on_land(): + return self.gdf['on_land'] + @property + def region_id(): + return self.gdf['region_id'] + @property + def elevation(): + return self.gdf['elevation'] + @property + def area_pixel(): + return self.gdf['area_pixel'] + @property + def dist_coast(): + return self.gdf['dist_coast'] def equal(self, centr): """Return True if two centroids equal, False otherwise @@ -189,16 +179,7 @@ def equal(self, centr): ------- eq : bool """ - if self.meta and centr.meta: - return (u_coord.equal_crs(self.meta['crs'], centr.meta['crs']) - and self.meta['height'] == centr.meta['height'] - and self.meta['width'] == centr.meta['width'] - and self.meta['transform'] == centr.meta['transform']) - return (u_coord.equal_crs(self.crs, centr.crs) - and self.lat.shape == centr.lat.shape - and self.lon.shape == centr.lon.shape - and np.allclose(self.lat, centr.lat) - and np.allclose(self.lon, centr.lon)) + return self.gdf.equals(centr.gdf) @staticmethod def from_base_grid(land=False, res_as=360, base_file=None): @@ -240,107 +221,6 @@ def from_base_grid(land=False, res_as=360, base_file=None): centroids.check() return centroids - @classmethod - def from_geodataframe(cls, gdf, geometry_alias='geom'): - """Create Centroids instance from GeoDataFrame. - - The geometry, lat, and lon attributes are set from the GeoDataFrame.geometry attribute, - while the columns are copied as attributes to the Centroids object in the form of - numpy.ndarrays using pandas.Series.to_numpy. The Series dtype will thus be respected. - - Columns named lat or lon are ignored, as they would overwrite the coordinates extracted - from the point features. If the geometry attribute bears an alias, it can be dropped by - setting the geometry_alias parameter. - - If the GDF includes a region_id column, but no on_land column, then on_land=True is - inferred for those centroids that have a set region_id. - - Example - ------- - >>> gdf = geopandas.read_file('centroids.shp') - >>> gdf.region_id = gdf.region_id.astype(int) # type coercion - >>> centroids = Centroids.from_geodataframe(gdf) - - Parameters - ---------- - gdf : GeoDataFrame - Where the geometry column needs to consist of point features. See above for details on - processing. - geometry_alias : str, opt - Alternate name for the geometry column; dropped to avoid duplicate assignment. - - Returns - ------- - centr : Centroids - Centroids with data from given GeoDataFrame - """ - geometry = gdf.geometry - lat = gdf.geometry.y.to_numpy(copy=True) - lon = gdf.geometry.x.to_numpy(copy=True) - centroids = cls(lat=lat, lon=lon, geometry=geometry) - - for col in gdf.columns: - if col in [geometry_alias, 'geometry', 'lat', 'lon']: - continue # skip these, because they're already set above - val = gdf[col].to_numpy(copy=True) - setattr(centroids, col, val) - - if centroids.on_land.size == 0: - try: - centroids.on_land = ~np.isnan(centroids.region_id) - except KeyError: - pass - - return centroids - - def set_raster_from_pix_bounds(self, *args, **kwargs): - """This function is deprecated, use Centroids.from_pix_bounds instead.""" - LOGGER.warning("The use of Centroids.set_raster_from_pix_bounds is deprecated. " - "Use Centroids.from_pix_bounds instead.") - self.__dict__ = Centroids.from_pix_bounds(*args, **kwargs).__dict__ - - @classmethod - def from_pix_bounds(cls, xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon, crs=DEF_CRS): - """Create Centroids object with meta attribute according to pixel border data. - - Parameters - ---------- - xf_lat : float - upper latitude (top) - xo_lon : float - left longitude - d_lat : float - latitude step (negative) - d_lon : float - longitude step (positive) - n_lat : int - number of latitude points - n_lon : int - number of longitude points - crs : dict() or rasterio.crs.CRS, optional - CRS. Default: DEF_CRS - - Returns - ------- - centr : Centroids - Centroids with meta according to given pixel border data. - """ - meta = { - 'dtype': 'float32', - 'width': n_lon, - 'height': n_lat, - 'crs': crs, - 'transform': rasterio.Affine(d_lon, 0.0, xo_lon, 0.0, d_lat, xf_lat), - } - - return cls(meta=meta) - - def set_raster_from_pnt_bounds(self, *args, **kwargs): - """This function is deprecated, use Centroids.from_pnt_bounds instead.""" - LOGGER.warning("The use of Centroids.set_raster_from_pnt_bounds is deprecated. " - "Use Centroids.from_pnt_bounds instead.") - self.__dict__ = Centroids.from_pnt_bounds(*args, **kwargs).__dict__ - @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): """Create Centroids object with meta attribute according to points border data. @@ -370,35 +250,6 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): } return cls(meta=meta) - def set_lat_lon(self, *args, **kwargs): - """This function is deprecated, use Centroids.from_lat_lon instead.""" - LOGGER.warning("The use of Centroids.set_lat_lon is deprecated. " - "Use Centroids.from_lat_lon instead.") - self.__dict__ = Centroids.from_lat_lon(*args, **kwargs).__dict__ - - @classmethod - def from_lat_lon(cls, lat, lon, crs=DEF_CRS): - """Create Centroids object from given latitude, longitude and CRS. - - Parameters - ---------- - lat : np.array - latitude - lon : np.array - longitude - crs : dict() or rasterio.crs.CRS, optional - CRS. Default: DEF_CRS - - Returns - ------- - centr : Centroids - Centroids with points according to given coordinates - """ - lat = np.asarray(lat) - lon = np.asarray(lon) - geometry = gpd.GeoSeries(crs=crs) - return cls(lat=lat, lon=lon, geometry=geometry) - def set_raster_file(self, file_name, band=None, **kwargs): """This function is deprecated, use Centroids.from_raster_file and Centroids.values_from_raster_files instead.""" @@ -506,17 +357,6 @@ def values_from_raster_files(self, file_names, band=None, src_crs=None, window=F return sparse.vstack(values, format='csr') - - def set_vector_file(self, file_name, inten_name=None, **kwargs): - """This function is deprecated, use Centroids.from_vector_file - and Centroids.values_from_vector_files instead.""" - LOGGER.warning("The use of Centroids.set_vector_file is deprecated. " - "Use Centroids.from_vector_file and " - "Centroids.values_from_vector_files instead.") - if not self.geometry.any(): - self.__dict__ = Centroids.from_vector_file(file_name, **kwargs).__dict__ - return self.values_from_vector_files([file_name], val_names=inten_name, **kwargs) - @classmethod def from_vector_file(cls, file_name, dst_crs=None): """Create Centroids object from vector file (any format supported by fiona). @@ -533,9 +373,13 @@ def from_vector_file(cls, file_name, dst_crs=None): centr : Centroids Centroids with points according to the given vector file """ - lat, lon, geometry, _ = u_coord.read_vector( - file_name, [], dst_crs=dst_crs) - return cls(lat=lat, lon=lon, geometry=geometry) + data_frame = gpd.read_file(file_name) + if dst_crs is None: + geometry = data_frame.geometry + else: + geometry = data_frame.geometry.to_crs(dst_crs) + lat, lon = geometry[:].y.values, geometry[:].x.values + return cls(lat=lat, lon=lon, dst_crs) def values_from_vector_files(self, file_names, val_names=None, dst_crs=None): """Read intensity or other data from vector files, making sure that geometry is compatible. @@ -576,12 +420,6 @@ def values_from_vector_files(self, file_names, val_names=None, dst_crs=None): return sparse.vstack(values, format='csr') - def read_mat(self, *args, **kwargs): - """This function is deprecated, use Centroids.from_mat instead.""" - LOGGER.warning("The use of Centroids.read_mat is deprecated." - "Use Centroids.from_mat instead.") - self.__dict__ = Centroids.from_mat(*args, **kwargs).__dict__ - @classmethod def from_mat(cls, file_name, var_names=None): """Read centroids from CLIMADA's MATLAB version. @@ -621,27 +459,20 @@ def from_mat(cls, file_name, var_names=None): try: cen_lat = np.squeeze(cent[var_names['var_name']['lat']]) cen_lon = np.squeeze(cent[var_names['var_name']['lon']]) - centr = cls.from_lat_lon(cen_lat, cen_lon) - try: - centr.dist_coast = np.squeeze(cent[var_names['var_name']['dist_coast']]) + dist_coast = np.squeeze(cent[var_names['var_name']['dist_coast']]) except KeyError: pass try: - centr.region_id = np.squeeze(cent[var_names['var_name']['region_id']]) + region_id = np.squeeze(cent[var_names['var_name']['region_id']]) except KeyError: pass + centr = cls.(cen_lat, cen_lon, dist_coast=dist_coast, region_id=region_id) except KeyError as err: raise KeyError("Not existing variable: %s" % str(err)) from err return centr - def read_excel(self, *args, **kwargs): - """This function is deprecated, use Centroids.from_excel instead.""" - LOGGER.warning("The use of Centroids.read_excel is deprecated." - "Use Centroids.from_excel instead.") - self.__dict__ = Centroids.from_excel(*args, **kwargs).__dict__ - @classmethod def from_excel(cls, file_name, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. @@ -680,10 +511,6 @@ def from_excel(cls, file_name, var_names=None): return centr - def clear(self): - """Clear vector and raster data.""" - self.__init__() - def append(self, centr): """Append centroids points. From 89b40517b7203f7c5c376eac81022dbfe41183a6 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 21 Jun 2023 17:19:10 +0200 Subject: [PATCH 002/192] Remove raster methods, obsolete methods, and fix some. --- climada/hazard/centroids/centr.py | 868 +++++++++++------------------- 1 file changed, 300 insertions(+), 568 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 7e6b1020c4..8aefb25a55 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -95,22 +95,22 @@ class Centroids(): region numeric codes elevation : np.array, optional elevations + kwargs: dicts of np.arrays, optional + any further desired properties of centroids. Is passed to the + GeoDataFrame constructor """ - vars_check = {'lat', 'lon', 'geometry', 'area_pixel', 'dist_coast', - 'on_land', 'region_id', 'elevation'} - """Variables whose size will be checked""" - def __init__( self, - lat: np.ndarray, lon: np.ndarray, + lat: np.ndarray, crs: str = DEF_CRS, - area_pixel: Optional[np.ndarray] = None, - on_land: Optional[np.ndarray] = None, region_id: Optional[np.ndarray] = None, + on_land: Optional[np.ndarray] = None, + dist_coast: Optional[np.ndarray] = None, elevation: Optional[np.ndarray] = None, - dist_coast: Optional[np.ndarray] = None + area_pixel: Optional[np.ndarray] = None, + **kwargs: Optional[dict] = None ): """Initialization @@ -133,93 +133,91 @@ def __init__( dist_coast : np.array, optional distance to coast of size size. Defaults to empty array """ - self.gdf = gpd.GeoDataFrame({ + attr_dict = { 'geometry': gpd.points_from_xy(lon, lat, crs=crs), - 'on_land' : on_land, 'region_id' : region_id, + 'on_land' : on_land, + 'dist_coast' : dist_coast, 'elevation' : elevation, 'area_pixel' : area_pixel, - 'dist_coast' : dist_coast, - }) + } + if kwargs: + attr_dict = dict(**attr_dict, **kwargs) + self.gdf = gpd.GeoDataFrame(attr_dict, crs=crs) - @property - def lat(): + @property`` + def lat(self): return self.gdf.geometry.y + @property - def lon(): + def lon(self): return self.gdf.geometry.x + @property - def geometry(): + def geometry(self): return self.gdf['geometry'] + @property - def on_land(): + def on_land(self): return self.gdf['on_land'] + @property - def region_id(): + def region_id(self): return self.gdf['region_id'] + @property - def elevation(): + def elevation(self): return self.gdf['elevation'] + @property - def area_pixel(): + def area_pixel(self): return self.gdf['area_pixel'] + @property - def dist_coast(): + def dist_coast(self): return self.gdf['dist_coast'] - def equal(self, centr): + @property + def crs(self): + return self.gdf.crs + + @property + def size(self): + return self.gdf.shape[0] + + @property + def shape(self): + """Get shape assuming rastered data.""" + return (np.unique(self.lat).size, np.unique(self.lon).size) + + @property + def total_bounds(self): + """Get total bounds (minx, miny, maxx, maxy).""" + return self.gdf.total_bounds + + @property + def coord(self): + """Get [lat, lon] array.""" + return np.stack([self.lat, self.lon], axis=1) + + def __eq__(self, other): """Return True if two centroids equal, False otherwise Parameters ---------- - centr : Centroids + other : Centroids centroids to compare Returns ------- eq : bool """ - return self.gdf.equals(centr.gdf) + return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) - @staticmethod - def from_base_grid(land=False, res_as=360, base_file=None): - """Initialize from base grid data provided with CLIMADA + @classmethod + def from_gdf(cls, gdf): + return cls(lon=gdf.x, lat=gdf.y, crs=gdf.crs, **gdf.drop('geometry').to_dict()) - Parameters - ---------- - land : bool, optional - If True, restrict to grid points on land. Default: False. - res_as : int, optional - Base grid resolution in arc-seconds (one of 150, 360). Default: 360. - base_file : str, optional - If set, read this file instead of one provided with climada. - """ - if base_file is None: - base_file = NATEARTH_CENTROIDS[res_as] - - centroids = Centroids.from_hdf5(base_file) - if centroids.meta: - xres, xshear, xoff, yshear, yres, yoff = centroids.meta['transform'][:6] - shape = (centroids.meta['height'], centroids.meta['width']) - if yres > 0: - # make sure y-orientation is negative - centroids.meta['transform'] = rasterio.Affine(xres, xshear, xoff, yshear, - -yres, yoff + (shape[0] - 1) * yres) - # flip y-axis in data arrays - for name in ["region_id", "dist_coast"]: - if not hasattr(centroids, name): - continue - data = getattr(centroids, name) - if data.size == 0: - continue - setattr(centroids, name, np.flipud(data.reshape(shape)).reshape(-1)) - if land: - land_reg_ids = list(range(1, 1000)) - land_reg_ids.remove(10) # Antarctica - centroids = centroids.select(reg_id=land_reg_ids) - - centroids.check() - return centroids @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): @@ -242,284 +240,14 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): Centroids with meta according to given points border data. """ rows, cols, ras_trans = u_coord.pts_to_raster_meta(points_bounds, (res, -res)) - meta = { - 'width': cols, - 'height': rows, - 'crs': crs, - 'transform': ras_trans, - } - return cls(meta=meta) - - def set_raster_file(self, file_name, band=None, **kwargs): - """This function is deprecated, use Centroids.from_raster_file - and Centroids.values_from_raster_files instead.""" - LOGGER.warning("The use of Centroids.set_raster_file is deprecated. " - "Use Centroids.from_raster_file and " - "Centroids.values_from_raster_files instead.") - if not self.meta: - self.__dict__ = Centroids.from_raster_file(file_name, **kwargs).__dict__ - return self.values_from_raster_files([file_name], band=band, **kwargs) - - @classmethod - def from_raster_file(cls, file_name, src_crs=None, window=None, - geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): - """Create a new Centroids object from a raster file - - Select region using window or geometry. Reproject input by providing - dst_crs and/or (transform, width, height). - - Parameters - ---------- - file_name : str - path of the file - src_crs : crs, optional - source CRS. Provide it if error without it. - window : rasterio.windows.Window, optional - window to read - geometry : list of shapely.geometry, optional - consider pixels only within these shapes - dst_crs : crs, optional - reproject to given crs - transform : rasterio.Affine - affine transformation to apply - wdith : float - number of lons for transform - height : float - number of lats for transform - resampling : rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs - - Returns - ------- - centr : Centroids - Centroids with meta attribute according to the given raster file - """ - meta, _ = u_coord.read_raster( - file_name, [1], src_crs, window, geometry, dst_crs, - transform, width, height, resampling) - return cls(meta=meta) - - def values_from_raster_files(self, file_names, band=None, src_crs=None, window=None, - geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): - """Read raster of bands and set 0 values to the masked ones. - - Each band is an event. Select region using window or geometry. Reproject input by proving - dst_crs and/or (transform, width, height). - - Parameters - ---------- - file_names : str - path of the file - band : list(int), optional - band number to read. Default: [1] - src_crs : crs, optional - source CRS. Provide it if error without it. - window : rasterio.windows.Window, optional - window to read - geometry : list of shapely.geometry, optional - consider pixels only within these shapes - dst_crs : crs, optional - reproject to given crs - transform : rasterio.Affine - affine transformation to apply - wdith : float - number of lons for transform - height : float - number of lats for transform - resampling : rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs - - Raises - ------ - ValueError - - Returns - ------- - inten : scipy.sparse.csr_matrix - Each row is an event. - """ - if band is None: - band = [1] - - values = [] - for file_name in file_names: - tmp_meta, data = u_coord.read_raster( - file_name, band, src_crs, window, geometry, dst_crs, - transform, width, height, resampling) - if (tmp_meta['crs'] != self.meta['crs'] - or tmp_meta['transform'] != self.meta['transform'] - or tmp_meta['height'] != self.meta['height'] - or tmp_meta['width'] != self.meta['width']): - raise ValueError('Raster data is inconsistent with contained raster.') - values.append(sparse.csr_matrix(data)) - - return sparse.vstack(values, format='csr') - - @classmethod - def from_vector_file(cls, file_name, dst_crs=None): - """Create Centroids object from vector file (any format supported by fiona). + x_grid, y_grid = u_coord.raster_to_meshgrid(ras_trans, cols, rows) + return cls(lat=y_grid, lon=x_grid, crs=crs) - Parameters - ---------- - file_name : str - vector file with format supported by fiona and 'geometry' field. - dst_crs : crs, optional - reproject to given crs - Returns - ------- - centr : Centroids - Centroids with points according to the given vector file - """ - data_frame = gpd.read_file(file_name) - if dst_crs is None: - geometry = data_frame.geometry - else: - geometry = data_frame.geometry.to_crs(dst_crs) - lat, lon = geometry[:].y.values, geometry[:].x.values - return cls(lat=lat, lon=lon, dst_crs) - - def values_from_vector_files(self, file_names, val_names=None, dst_crs=None): - """Read intensity or other data from vector files, making sure that geometry is compatible. - - If the geometry of the shapes in any of the given files does not agree with the - geometry of this Centroids instance, a ValueError is raised. - - Parameters - ---------- - file_names : list(str) - vector files with format supported by fiona and 'geometry' field. - val_names : list(str), optional - list of names of the columns of the values. Default: ['intensity'] - dst_crs : crs, optional - reproject to given crs - - Raises - ------ - ValueError - - Returns - ------- - values : scipy.sparse.csr_matrix - Sparse array of shape (len(val_name), len(geometry)). - """ - if val_names is None: - val_names = ['intensity'] - - values = [] - for file_name in file_names: - tmp_lat, tmp_lon, tmp_geometry, data = u_coord.read_vector( - file_name, val_names, dst_crs=dst_crs) - if not (u_coord.equal_crs(tmp_geometry.crs, self.geometry.crs) - and np.allclose(tmp_lat, self.lat) - and np.allclose(tmp_lon, self.lon)): - raise ValueError('Vector data inconsistent with contained vector.') - values.append(sparse.csr_matrix(data)) - - return sparse.vstack(values, format='csr') - - @classmethod - def from_mat(cls, file_name, var_names=None): - """Read centroids from CLIMADA's MATLAB version. - - Parameters - ---------- - file_name : str - absolute or relative file name - var_names : dict, optional - name of the variables - - Raises - ------ - KeyError - - Returns - ------- - centr : Centroids - Centroids with data from the given file - """ - LOGGER.info('Reading %s', file_name) - if var_names is None: - var_names = DEF_VAR_MAT - - cent = u_hdf5.read(file_name) - # Try open encapsulating variable FIELD_NAMES - num_try = 0 - for field in var_names['field_names']: - try: - cent = cent[field] - break - except KeyError: - num_try += 1 - if num_try == len(var_names['field_names']): - LOGGER.warning("Variables are not under: %s.", var_names['field_names']) - - try: - cen_lat = np.squeeze(cent[var_names['var_name']['lat']]) - cen_lon = np.squeeze(cent[var_names['var_name']['lon']]) - try: - dist_coast = np.squeeze(cent[var_names['var_name']['dist_coast']]) - except KeyError: - pass - try: - region_id = np.squeeze(cent[var_names['var_name']['region_id']]) - except KeyError: - pass - centr = cls.(cen_lat, cen_lon, dist_coast=dist_coast, region_id=region_id) - except KeyError as err: - raise KeyError("Not existing variable: %s" % str(err)) from err - - return centr - - @classmethod - def from_excel(cls, file_name, var_names=None): - """Generate a new centroids object from an excel file with column names in var_names. - - Parameters - ---------- - file_name : str - absolute or relative file name - var_names : dict, default - name of the variables - - Raises - ------ - KeyError - - Returns - ------- - centr : Centroids - Centroids with data from the given file - """ - LOGGER.info('Reading %s', file_name) - if var_names is None: - var_names = DEF_VAR_EXCEL - - try: - dfr = pd.read_excel(file_name, var_names['sheet_name']) - centr = cls.from_lat_lon(dfr[var_names['col_name']['lat']], - dfr[var_names['col_name']['lon']]) - try: - centr.region_id = dfr[var_names['col_name']['region_id']] - except KeyError: - pass - - except KeyError as err: - raise KeyError("Not existing variable: %s" % str(err)) from err - - return centr def append(self, centr): """Append centroids points. - If centr or self are rasters they are converted to points first using - Centroids.set_meta_to_lat_lon. Note that self is modified in-place, - and meta is set to {}. Thus, raster information in self is lost. - - Note: this is a wrapper for centroids.union. - Parameters ---------- centr : Centroids @@ -529,28 +257,19 @@ def append(self, centr): -------- union : Union of Centroid objects. """ - self.__dict__.update(self.union(centr).__dict__) + self.gdf = pd.concat([self.gdf, centr.gdf]) def union(self, *others): """ Create the union of centroids from the inputs. - The centroids are combined together point by point. - Rasters are converted to points and raster information is lost - in the output. All centroids must have the same CRS. - - In any case, the attribute .geometry is computed for all centroids. - This requires a CRS to be defined. If Centroids.crs is None, the - default DEF_CRS is set for all centroids (self and others). + All centroids must have the same CRS. When at least one centroids has one of the following property defined, it is also computed for all others. .area_pixel, .dist_coast, .on_land, .region_id, .elevetaion' - !Caution!: the input objects (self and others) are modified in place. - Missing properties are added, existing ones are not overwritten. - Parameters ---------- others : any number of climada.hazard.Centroids() @@ -566,23 +285,16 @@ def union(self, *others): ValueError """ # restrict to non-empty centroids - cent_list = [c for c in (self,) + others if c.size > 0 or c.meta] # pylint: disable=no-member + cent_list = [c for c in (self,) + others if c.size > 0] # pylint: disable=no-member if len(cent_list) == 0 or len(others) == 0: return copy.deepcopy(self) # check if all centroids are identical - if all([cent_list[0].equal(cent) for cent in cent_list[1:]]): + if all([cent_list[0] == cent for cent in cent_list[1:]]): return copy.deepcopy(cent_list[0]) - # convert all raster centroids to point centroids - for cent in cent_list: - if cent.meta and not cent.lat.any(): - cent.set_meta_to_lat_lon() - # make sure that all Centroids have the same CRS for cent in cent_list: - if cent.crs is None: - cent.geometry = cent.geometry.set_crs(DEF_CRS) if not u_coord.equal_crs(cent.crs, cent_list[0].crs): raise ValueError('In a union, all Centroids need to have the same CRS: ' f'{cent.crs} != {cent_list[0].crs}') @@ -629,16 +341,7 @@ def get_closest_point(self, x_lon, y_lat, scheduler=None): idx_close : int Index of centroid in internal ordering of centroids. """ - if self.meta: - if not self.lat.size or not self.lon.size: - self.set_meta_to_lat_lon() - i_lat, i_lon = rasterio.transform.rowcol(self.meta['transform'], x_lon, y_lat) - i_lat = np.clip(i_lat, 0, self.meta['height'] - 1) - i_lon = np.clip(i_lon, 0, self.meta['width'] - 1) - close_idx = int(i_lat * self.meta['width'] + i_lon) - else: - self.set_geometry_points(scheduler) - close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() + close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() return self.lon[close_idx], self.lat[close_idx], close_idx def set_region_id(self, scheduler=None): @@ -650,8 +353,8 @@ def set_region_id(self, scheduler=None): used for dask map_partitions. “threads”, “synchronous” or “processes” """ ne_geom = self._ne_crs_geom(scheduler) - LOGGER.debug('Setting region_id %s points.', str(self.lat.size)) - self.region_id = u_coord.get_country_code( + LOGGER.debug('Setting region_id %s points.', str(self.size)) + self.gdf.region_id = u_coord.get_country_code( ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) def set_area_pixel(self, min_resol=1.0e-8, scheduler=None): @@ -664,26 +367,15 @@ def set_area_pixel(self, min_resol=1.0e-8, scheduler=None): scheduler : str used for dask map_partitions. “threads”, “synchronous” or “processes” """ - if self.meta: - if hasattr(self.meta['crs'], 'linear_units') and \ - str.lower(self.meta['crs'].linear_units) in ['m', 'metre', 'meter']: - self.area_pixel = np.zeros((self.meta['height'], self.meta['width'])) - self.area_pixel *= abs(self.meta['transform'].a) * abs(self.meta['transform'].e) - return - if abs(abs(self.meta['transform'].a) - - abs(self.meta['transform'].e)) > 1.0e-5: - raise ValueError('Area can not be computed for not squared pixels.') - res = self.meta['transform'].a - else: - res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) - res = np.abs(res).min() - self.set_geometry_points(scheduler) + + res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) + res = np.abs(res).min() LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) xy_pixels = self.geometry.buffer(res / 2).envelope if PROJ_CEA == self.geometry.crs: - self.area_pixel = xy_pixels.area.values + self.gdf.area_pixel = xy_pixels.area.values else: - self.area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values + self.gdf.area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values def set_area_approx(self, min_resol=1.0e-8): """Set `area_pixel` attribute for every pixel or point (approximate area in m*m). @@ -733,9 +425,7 @@ def set_elevation(self, topo_path): topo_path : str Path to a raster file containing gridded elevation data. """ - if not self.coord.size: - self.set_meta_to_lat_lon() - self.elevation = u_coord.read_raster_sample(topo_path, self.lat, self.lon) + self.gdf.elevation = u_coord.read_raster_sample(topo_path, self.lat, self.lon) def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): """Set dist_coast attribute for every pixel or point in meters. @@ -749,18 +439,13 @@ def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): scheduler : str Used for dask map_partitions. "threads", "synchronous" or "processes" """ - if (not self.lat.size or not self.lon.size) and not self.meta: - LOGGER.warning('No lat/lon, no meta, nothing to do!') - return if precomputed: - if not self.lat.size or not self.lon.size: - self.set_meta_to_lat_lon() - self.dist_coast = u_coord.dist_to_coast_nasa( + self.gdf.dist_coast = u_coord.dist_to_coast_nasa( self.lat, self.lon, highres=True, signed=signed) else: ne_geom = self._ne_crs_geom(scheduler) - LOGGER.debug('Computing distance to coast for %s centroids.', str(self.lat.size)) - self.dist_coast = u_coord.dist_to_coast(ne_geom, signed=signed) + LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) + self.gdf.dist_coast = u_coord.dist_to_coast(ne_geom, signed=signed) def set_on_land(self, scheduler=None): """Set on_land attribute for every pixel or point. @@ -772,26 +457,19 @@ def set_on_land(self, scheduler=None): """ ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) - self.on_land = u_coord.coord_on_land( + self.gdf.on_land = u_coord.coord_on_land( ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) - def remove_duplicate_points(self): - """Return Centroids with removed duplicated points + @classmethod + def remove_duplicate_points(cls, centroids): + """Return a copy of centroids with removed duplicated points Returns ------- - cen : Centroids - Sub-selection of this object. + : Centroids + Sub-selection of centroids withtout duplicates """ - if not self.lat.any() and not self.meta: - return self - if self.lat.size > 0: - coords_view = self.coord.astype(np.float64).view(dtype='float64,float64') - sel_cen = np.sort(np.unique(coords_view, return_index=True)[1]) - else: - geom_wkb = self.geometry.apply(lambda geom: geom.wkb) - sel_cen = geom_wkb.drop_duplicates().index - return self.select(sel_cen=sel_cen) + return cls().from_gdf(centroids.gdf.drop_duplicates()) def select(self, reg_id=None, extent=None, sel_cen=None): """Return Centroids with points in the given reg_id or within mask @@ -864,33 +542,6 @@ def select_mask(self, reg_id=None, extent=None): ) return sel_cen - def set_lat_lon_to_meta(self, min_resol=1.0e-8): - """Compute meta from lat and lon values. - - Parameters - ---------- - min_resol : float, optional - Minimum centroids resolution to use in the raster. Default: 1.0e-8. - """ - res = u_coord.get_resolution(self.lon, self.lat, min_resol=min_resol) - rows, cols, ras_trans = u_coord.pts_to_raster_meta(self.total_bounds, res) - LOGGER.debug('Resolution points: %s', str(res)) - self.meta = { - 'width': cols, - 'height': rows, - 'crs': self.crs, - 'transform': ras_trans, - } - - def set_meta_to_lat_lon(self): - """Compute lat and lon of every pixel center from meta raster.""" - if self.meta: - xgrid, ygrid = u_coord.raster_to_meshgrid( - self.meta['transform'], self.meta['width'], self.meta['height']) - self.lon = xgrid.flatten() - self.lat = ygrid.flatten() - self.geometry = gpd.GeoSeries(crs=self.meta['crs']) - def plot(self, axis=None, figsize=(9, 13), **kwargs): """Plot centroids scatter points over earth. @@ -951,11 +602,219 @@ def calc_pixels_polygons(self, scheduler=None): self.set_geometry_points(scheduler) return self.geometry.buffer(self.meta['transform'].a / 2).envelope - def empty_geometry_points(self): - """Removes all points in geometry. - Useful when centroids is used in multiprocessing function.""" - self.geometry = gpd.GeoSeries(crs=self.geometry.crs) + ''' + I/O methods + ''' + + + def set_raster_file(self, file_name, band=None, **kwargs): + """This function is deprecated, use Centroids.from_raster_file + and Centroids.values_from_raster_files instead.""" + LOGGER.warning("The use of Centroids.set_raster_file is deprecated. " + "Use Centroids.from_raster_file and " + "Centroids.values_from_raster_files instead.") + if not self.meta: + self.__dict__ = Centroids.from_raster_file(file_name, **kwargs).__dict__ + return self.values_from_raster_files([file_name], band=band, **kwargs) + + @classmethod + def from_raster_file(cls, file_name, src_crs=None, window=None, + geometry=None, dst_crs=None, transform=None, width=None, + height=None, resampling=Resampling.nearest): + """Create a new Centroids object from a raster file + + Select region using window or geometry. Reproject input by providing + dst_crs and/or (transform, width, height). + + Parameters + ---------- + file_name : str + path of the file + src_crs : crs, optional + source CRS. Provide it if error without it. + window : rasterio.windows.Window, optional + window to read + geometry : list of shapely.geometry, optional + consider pixels only within these shapes + dst_crs : crs, optional + reproject to given crs + transform : rasterio.Affine + affine transformation to apply + wdith : float + number of lons for transform + height : float + number of lats for transform + resampling : rasterio.warp,.Resampling optional + resampling function used for reprojection to dst_crs + + Returns + ------- + centr : Centroids + Centroids with meta attribute according to the given raster file + """ + meta, _ = u_coord.read_raster( + file_name, [1], src_crs, window, geometry, dst_crs, + transform, width, height, resampling) + return cls(meta=meta) + + def values_from_raster_files(self, file_names, band=None, src_crs=None, window=None, + geometry=None, dst_crs=None, transform=None, width=None, + height=None, resampling=Resampling.nearest): + """Read raster of bands and set 0 values to the masked ones. + + Each band is an event. Select region using window or geometry. Reproject input by proving + dst_crs and/or (transform, width, height). + + Parameters + ---------- + file_names : str + path of the file + band : list(int), optional + band number to read. Default: [1] + src_crs : crs, optional + source CRS. Provide it if error without it. + window : rasterio.windows.Window, optional + window to read + geometry : list of shapely.geometry, optional + consider pixels only within these shapes + dst_crs : crs, optional + reproject to given crs + transform : rasterio.Affine + affine transformation to apply + wdith : float + number of lons for transform + height : float + number of lats for transform + resampling : rasterio.warp,.Resampling optional + resampling function used for reprojection to dst_crs + + Raises + ------ + ValueError + + Returns + ------- + inten : scipy.sparse.csr_matrix + Each row is an event. + """ + if band is None: + band = [1] + + values = [] + for file_name in file_names: + tmp_meta, data = u_coord.read_raster( + file_name, band, src_crs, window, geometry, dst_crs, + transform, width, height, resampling) + if (tmp_meta['crs'] != self.meta['crs'] + or tmp_meta['transform'] != self.meta['transform'] + or tmp_meta['height'] != self.meta['height'] + or tmp_meta['width'] != self.meta['width']): + raise ValueError('Raster data is inconsistent with contained raster.') + values.append(sparse.csr_matrix(data)) + + return sparse.vstack(values, format='csr') + + @classmethod + def from_vector_file(cls, file_name, dst_crs=None): + """Create Centroids object from vector file (any format supported by fiona). + + Parameters + ---------- + file_name : str + vector file with format supported by fiona and 'geometry' field. + dst_crs : crs, optional + reproject to given crs + + Returns + ------- + centr : Centroids + Centroids with points according to the given vector file + """ + data_frame = gpd.read_file(file_name) + if dst_crs is None: + geometry = data_frame.geometry + else: + geometry = data_frame.geometry.to_crs(dst_crs) + lat, lon = geometry[:].y.values, geometry[:].x.values + return cls(lat=lat, lon=lon, crs=dst_crs) + + def values_from_vector_files(self, file_names, val_names=None, dst_crs=None): + """Read intensity or other data from vector files, making sure that geometry is compatible. + + If the geometry of the shapes in any of the given files does not agree with the + geometry of this Centroids instance, a ValueError is raised. + + Parameters + ---------- + file_names : list(str) + vector files with format supported by fiona and 'geometry' field. + val_names : list(str), optional + list of names of the columns of the values. Default: ['intensity'] + dst_crs : crs, optional + reproject to given crs + + Raises + ------ + ValueError + + Returns + ------- + values : scipy.sparse.csr_matrix + Sparse array of shape (len(val_name), len(geometry)). + """ + if val_names is None: + val_names = ['intensity'] + + values = [] + for file_name in file_names: + tmp_lat, tmp_lon, tmp_geometry, data = u_coord.read_vector( + file_name, val_names, dst_crs=dst_crs) + if not (u_coord.equal_crs(tmp_geometry.crs, self.geometry.crs) + and np.allclose(tmp_lat, self.lat) + and np.allclose(tmp_lon, self.lon)): + raise ValueError('Vector data inconsistent with contained vector.') + values.append(sparse.csr_matrix(data)) + + return sparse.vstack(values, format='csr') + + @classmethod + def from_excel(cls, file_name, var_names=None): + """Generate a new centroids object from an excel file with column names in var_names. + + Parameters + ---------- + file_name : str + absolute or relative file name + var_names : dict, default + name of the variables + + Raises + ------ + KeyError + + Returns + ------- + centr : Centroids + Centroids with data from the given file + """ + LOGGER.info('Reading %s', file_name) + if var_names is None: + var_names = DEF_VAR_EXCEL + + try: + dfr = pd.read_excel(file_name, var_names['sheet_name']) + centr = cls.from_lat_lon(dfr[var_names['col_name']['lat']], + dfr[var_names['col_name']['lon']]) + try: + centr.region_id = dfr[var_names['col_name']['region_id']] + except KeyError: + pass + + except KeyError as err: + raise KeyError("Not existing variable: %s" % str(err)) from err + + return centr def write_hdf5(self, file_data): """Write centroids attributes into hdf5 format. @@ -1060,77 +919,6 @@ def _from_hdf5(cls, data): setattr(centr, centr_name, np.array(data.get(centr_name))) return centr - @property - def crs(self): - """Get CRS of raster or vector.""" - if self.meta: - return self.meta['crs'] - if self.geometry.crs: - return self.geometry.crs - return DEF_CRS - - @property - def size(self): - """Get number of pixels or points.""" - if self.meta: - return int(self.meta['height'] * self.meta['width']) - return self.lat.size - - @property - def shape(self): - """Get shape of rastered data.""" - try: - if self.meta: - return (self.meta['height'], self.meta['width']) - return (np.unique(self.lat).size, np.unique(self.lon).size) - except AttributeError: - return () - - @property - def total_bounds(self): - """Get total bounds (left, bottom, right, top).""" - if self.meta: - left = self.meta['transform'].xoff - right = left + self.meta['transform'][0] * self.meta['width'] - if left > right: - left, right = right, left - top = self.meta['transform'].yoff - bottom = top + self.meta['transform'][4] * self.meta['height'] - if bottom > top: - bottom, top = top, bottom - return left, bottom, right, top - return self.lon.min(), self.lat.min(), self.lon.max(), self.lat.max() - - @property - def coord(self): - """Get [lat, lon] array.""" - return np.stack([self.lat, self.lon], axis=1) - - def set_geometry_points(self, scheduler=None): - """Set `geometry` attribute with Points from `lat`/`lon` attributes. - - Parameters - ---------- - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” - """ - def apply_point(df_exp): - return df_exp.apply((lambda row: Point(row.longitude, row.latitude)), axis=1) - if not self.geometry.size: - LOGGER.info('Convert centroids to GeoSeries of Point shapes.') - if (not self.lat.any() or not self.lon.any()) and self.meta: - self.set_meta_to_lat_lon() - if not scheduler: - self.geometry = gpd.GeoSeries( - gpd.points_from_xy(self.lon, self.lat), crs=self.geometry.crs) - else: - import dask.dataframe as dd - from multiprocessing import cpu_count - ddata = dd.from_pandas(self, npartitions=cpu_count()) - self.geometry = (ddata - .map_partitions(apply_point, meta=Point) - .compute(scheduler=scheduler)) - def _ne_crs_geom(self, scheduler=None): """Return `geometry` attribute in the CRS of Natural Earth. @@ -1143,62 +931,6 @@ def _ne_crs_geom(self, scheduler=None): ------- geo : gpd.GeoSeries """ - if not self.lat.size or not self.lon.size: - self.set_meta_to_lat_lon() - if u_coord.equal_crs(self.geometry.crs, u_coord.NE_CRS) and self.geometry.size: - return self.geometry - self.set_geometry_points(scheduler) - return self.geometry.to_crs(u_coord.NE_CRS) - - def __deepcopy__(self, memo): - """Avoid error deep copy in gpd.GeoSeries by setting only the crs.""" - cls = self.__class__ - result = cls.__new__(cls) - memo[id(self)] = result - for key, value in self.__dict__.items(): - if key == 'geometry': - setattr(result, key, gpd.GeoSeries(crs=self.geometry.crs)) - else: - setattr(result, key, copy.deepcopy(value, memo)) - return result - - -def generate_nat_earth_centroids(res_as=360, path=None, dist_coast=False): - """Generate hdf5 file containing Centroids of given resolution. - - For reproducibility, this is the function that generates the centroids files in - `NATEARTH_CENTROIDS`. These files are provided with CLIMADA so that this function should never - be called! - - Parameters - ---------- - res_as : int - Resolution of file in arc-seconds. Default: 360. - path : str, optional - If set, write resulting hdf5 file here instead of the default location. - dist_coast : bool, optional - If True, read distance from a NASA dataset (see util.coordinates.dist_to_coast_nasa). - Default: False. - """ - if path is None and res_as not in [150, 360]: - raise ValueError("Only 150 and 360 arc-seconds are supported!") - - res_deg = res_as / 3600 - lat_dim = np.arange(-90 + res_deg, 90, res_deg) - lon_dim = np.arange(-180 + res_deg, 180 + res_deg, res_deg) - lon, lat = [ar.ravel() for ar in np.meshgrid(lon_dim, lat_dim)] - natids = np.uint16(u_coord.get_country_code(lat, lon, gridded=False)) - - cen = Centroids.from_lat_lon(lat, lon) - cen.region_id = natids - cen.set_lat_lon_to_meta() - cen.lat = np.array([]) - cen.lon = np.array([]) - - if path is None: - path = NATEARTH_CENTROIDS[res_as] - - if dist_coast: - cen.set_dist_coast(precomputed=True, signed=False) - cen.dist_coast = np.float16(cen.dist_coast) - cen.write_hdf5(path) + if u_coord.equal_crs(self.gdfgeometry.crs, u_coord.NE_CRS): + return self.gdf.geometry + return self.gdf.geometry.to_crs(u_coord.NE_CRS) From 70ea2fb477821d7bdf5795c79cd93268e2bd121b Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 21 Jun 2023 17:49:00 +0200 Subject: [PATCH 003/192] Remove test for removed methods --- climada/hazard/centroids/test/test_centr.py | 44 --------------------- 1 file changed, 44 deletions(-) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index cb859e7fc5..9b925a04d6 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -47,13 +47,6 @@ def test_mat_pass(self): self.assertEqual(centroids.coord[n_centroids - 1][0], 30) self.assertEqual(centroids.coord[n_centroids - 1][1], -75) - def test_mat_global_pass(self): - """Test read GLB_CENTROIDS_MAT""" - centroids = Centroids.from_mat(GLB_CENTROIDS_MAT) - - self.assertEqual(centroids.region_id[1062443], 35) - self.assertEqual(centroids.region_id[170825], 28) - def test_centroid_pass(self): """Read a centroid excel file correctly.""" centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS) @@ -66,27 +59,6 @@ def test_centroid_pass(self): self.assertEqual(centroids.coord[n_centroids - 1][0], -24.7) self.assertEqual(centroids.coord[n_centroids - 1][1], 33.88) - def test_base_grid(self): - """Read new centroids using from_base_grid, then select by extent.""" - centroids = Centroids.from_base_grid(land=True, res_as=150) - self.assertEqual(centroids.lat.size, 8858035) - self.assertTrue(np.all(np.diff(centroids.lat) <= 0)) - - count_sandwich = np.sum(centroids.region_id == 239) - self.assertEqual(count_sandwich, 321) - - count_sgi = centroids.select( - reg_id=239, - extent=(-39, -34.7, -55.5, -53.6) # south georgia island - ).size - self.assertEqual(count_sgi, 296) - - # test negative latitudinal orientation by testing that northern hemisphere (Russia) - # is listed before southern hemisphere (South Africa) - russia_max_idx = (centroids.region_id == 643).nonzero()[0].max() - safrica_min_idx = (centroids.region_id == 710).nonzero()[0].min() - self.assertTrue(russia_max_idx < safrica_min_idx) - def test_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" gdf = gpd.GeoDataFrame(pd.read_excel(HAZ_TEMPLATE_XLS)) @@ -99,13 +71,11 @@ def test_geodataframe(self): gdf['geom'] = gdf.geometry # this should have no effect on centroids centroids = Centroids.from_geodataframe(gdf) - centroids.check() self.assertEqual(centroids.geometry.size, 45) self.assertEqual(centroids.lon[0], 32.57) self.assertEqual(centroids.lat[0], -25.95) self.assertEqual(centroids.elevation.size, 45) - self.assertEqual(centroids.on_land.sum(), 44) self.assertIsInstance(centroids.geometry, gpd.GeoSeries) self.assertIsInstance(centroids.geometry.total_bounds, np.ndarray) @@ -167,20 +137,6 @@ def test_union(self): np.testing.assert_array_equal(cent.lon, [0, -1, -2, 3, 1, 2]) - def test_union_meta(self): - cent1 = Centroids.from_pnt_bounds((-1, -1, 0, 0), res=1) - cent2 = Centroids.from_pnt_bounds((0, 0, 1, 1), res=1) - cent3 = Centroids.from_lat_lon(np.array([1]), np.array([1])) - - cent = cent1.union(cent2) - np.testing.assert_array_equal(cent.lat, [0, 0, -1, -1, 1, 1, 0]) - np.testing.assert_array_equal(cent.lon, [-1, 0, -1, 0, 0, 1, 1]) - - cent = cent3.union(cent1) - np.testing.assert_array_equal(cent.lat, [1, 0, 0, -1, -1]) - np.testing.assert_array_equal(cent.lon, [1, -1, 0, -1, 0]) - - # Execute Tests if __name__ == "__main__": TESTS = unittest.TestLoader().loadTestsFromTestCase(TestCentroidsReader) From e34bc0f3bc61a2635fb6c5c73367b933a187e1a3 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 21 Jun 2023 17:49:13 +0200 Subject: [PATCH 004/192] Fix from geodataframe method --- climada/hazard/centroids/centr.py | 21 ++++++++++----------- 1 file changed, 10 insertions(+), 11 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 8aefb25a55..fac98a6265 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -30,10 +30,10 @@ import matplotlib.pyplot as plt import numpy as np import pandas as pd -from pyproj.crs import CRS +from pyproj.crs.crs import CRS import rasterio -from rasterio.warp import Resampling from scipy import sparse +from rasterio.warp import Resampling from shapely.geometry.point import Point from climada.util.constants import (DEF_CRS, @@ -110,7 +110,7 @@ def __init__( dist_coast: Optional[np.ndarray] = None, elevation: Optional[np.ndarray] = None, area_pixel: Optional[np.ndarray] = None, - **kwargs: Optional[dict] = None + **kwargs ): """Initialization @@ -143,15 +143,15 @@ def __init__( } if kwargs: attr_dict = dict(**attr_dict, **kwargs) - self.gdf = gpd.GeoDataFrame(attr_dict, crs=crs) + self.gdf = gpd.GeoDataFrame(data=attr_dict, crs=crs) - @property`` + @property def lat(self): - return self.gdf.geometry.y + return self.gdf.geometry.y.values @property def lon(self): - return self.gdf.geometry.x + return self.gdf.geometry.x.values @property def geometry(self): @@ -215,8 +215,8 @@ def __eq__(self, other): return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) @classmethod - def from_gdf(cls, gdf): - return cls(lon=gdf.x, lat=gdf.y, crs=gdf.crs, **gdf.drop('geometry').to_dict()) + def from_geodataframe(cls, gdf): + return cls(lon=gdf.geometry.x.values, lat=gdf.geometry.y.values, crs=gdf.crs, **gdf.drop(columns=['geometry']).to_dict(orient='list')) @classmethod @@ -244,7 +244,6 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): return cls(lat=y_grid, lon=x_grid, crs=crs) - def append(self, centr): """Append centroids points. @@ -308,7 +307,7 @@ def union(self, *others): getattr(Centroids, fun_name)(cent) # create new Centroids object and set concatenated attributes - centroids = Centroids() + centroids = Centroids(None, None) for attr_name, attr_val in vars(cent_list[0]).items(): if isinstance(attr_val, np.ndarray) and attr_val.ndim == 1: attr_val_list = [getattr(cent, attr_name) for cent in cent_list] From 02b4a8b96db3c218e5251c4afe254d7675129024 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 22 Jun 2023 08:45:45 +0200 Subject: [PATCH 005/192] Remove set meta to lat lon --- climada/hazard/centroids/centr.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index fac98a6265..708269aaf2 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -258,7 +258,6 @@ def append(self, centr): """ self.gdf = pd.concat([self.gdf, centr.gdf]) - def union(self, *others): """ Create the union of centroids from the inputs. @@ -493,9 +492,6 @@ def select(self, reg_id=None, extent=None, sel_cen=None): if sel_cen is None: sel_cen = self.select_mask(reg_id=reg_id, extent=extent) - if not self.lat.size or not self.lon.size: - self.set_meta_to_lat_lon() - centr = Centroids.from_lat_lon(self.lat[sel_cen], self.lon[sel_cen], self.geometry.crs) if self.area_pixel.size: centr.area_pixel = self.area_pixel[sel_cen] From 5ede9bd90f740de8f9ec0b7303491f9c4c8244a3 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 29 Jun 2023 15:16:57 +0200 Subject: [PATCH 006/192] Update all I/O methods --- climada/hazard/centroids/centr.py | 501 ++++---------------- climada/hazard/centroids/test/test_centr.py | 76 ++- 2 files changed, 137 insertions(+), 440 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 708269aaf2..f07b79cb35 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -23,16 +23,14 @@ import logging from pathlib import Path from typing import Optional, Dict, Any +import warnings import cartopy.crs as ccrs import geopandas as gpd -import h5py import matplotlib.pyplot as plt import numpy as np import pandas as pd from pyproj.crs.crs import CRS -import rasterio -from scipy import sparse from rasterio.warp import Resampling from shapely.geometry.point import Point @@ -67,6 +65,10 @@ 'region_id': 'region_id', 'lat': 'latitude', 'lon': 'longitude', + 'on_land': 'on_land', + 'dist_coast': 'dist_coast', + 'elevation': 'elevation', + ' area_pixel': 'area_pixel' } } """Excel variable names""" @@ -102,8 +104,8 @@ class Centroids(): def __init__( self, - lon: np.ndarray, - lat: np.ndarray, + longitude: np.ndarray, + latitude: np.ndarray, crs: str = DEF_CRS, region_id: Optional[np.ndarray] = None, on_land: Optional[np.ndarray] = None, @@ -134,13 +136,18 @@ def __init__( distance to coast of size size. Defaults to empty array """ attr_dict = { - 'geometry': gpd.points_from_xy(lon, lat, crs=crs), - 'region_id' : region_id, - 'on_land' : on_land, - 'dist_coast' : dist_coast, - 'elevation' : elevation, - 'area_pixel' : area_pixel, + 'geometry': gpd.points_from_xy(longitude, latitude, crs=crs), } + if region_id is not None: + attr_dict['region_id'] = region_id + if on_land is not None: + attr_dict['on_land'] = on_land + if dist_coast is not None: + attr_dict['dist_coast'] = dist_coast + if elevation is not None: + attr_dict['elevation'] = elevation + if area_pixel is not None: + attr_dict['area_pixel'] = area_pixel if kwargs: attr_dict = dict(**attr_dict, **kwargs) self.gdf = gpd.GeoDataFrame(data=attr_dict, crs=crs) @@ -216,8 +223,7 @@ def __eq__(self, other): @classmethod def from_geodataframe(cls, gdf): - return cls(lon=gdf.geometry.x.values, lat=gdf.geometry.y.values, crs=gdf.crs, **gdf.drop(columns=['geometry']).to_dict(orient='list')) - + return cls(longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, crs=gdf.crs, **gdf.drop(columns=['geometry']).to_dict(orient='list')) @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): @@ -243,7 +249,6 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): x_grid, y_grid = u_coord.raster_to_meshgrid(ras_trans, cols, rows) return cls(lat=y_grid, lon=x_grid, crs=crs) - def append(self, centr): """Append centroids points. @@ -252,10 +257,17 @@ def append(self, centr): centr : Centroids Centroids to append. The centroids need to have the same CRS. + Raises + ------ + ValueError + See Also -------- union : Union of Centroid objects. """ + if not u_coord.equal_crs(self.crs, centr.crs): + raise ValueError( + "The centroids have different Coordinate-Reference-Systems (CRS)") self.gdf = pd.concat([self.gdf, centr.gdf]) def union(self, *others): @@ -264,10 +276,6 @@ def union(self, *others): The centroids are combined together point by point. All centroids must have the same CRS. - When at least one centroids has one of the following property - defined, it is also computed for all others. - .area_pixel, .dist_coast, .on_land, .region_id, .elevetaion' - Parameters ---------- others : any number of climada.hazard.Centroids() @@ -278,45 +286,13 @@ def union(self, *others): centroids : Centroids Centroids containing the union of the centroids in others. - Raises - ------ - ValueError """ - # restrict to non-empty centroids - cent_list = [c for c in (self,) + others if c.size > 0] # pylint: disable=no-member - if len(cent_list) == 0 or len(others) == 0: - return copy.deepcopy(self) - - # check if all centroids are identical - if all([cent_list[0] == cent for cent in cent_list[1:]]): - return copy.deepcopy(cent_list[0]) - - # make sure that all Centroids have the same CRS - for cent in cent_list: - if not u_coord.equal_crs(cent.crs, cent_list[0].crs): - raise ValueError('In a union, all Centroids need to have the same CRS: ' - f'{cent.crs} != {cent_list[0].crs}') - - # set attributes that are missing in some but defined in others - for attr in ["geometry", "area_pixel", "dist_coast", "on_land", "region_id", "elevation"]: - if np.any([getattr(cent, attr).size > 0 for cent in cent_list]): - for cent in cent_list: - if not getattr(cent, attr).size > 0: - fun_name = f"set_{attr}{'_points' if attr == 'geometry' else ''}" - getattr(Centroids, fun_name)(cent) - - # create new Centroids object and set concatenated attributes - centroids = Centroids(None, None) - for attr_name, attr_val in vars(cent_list[0]).items(): - if isinstance(attr_val, np.ndarray) and attr_val.ndim == 1: - attr_val_list = [getattr(cent, attr_name) for cent in cent_list] - setattr(centroids, attr_name, np.hstack(attr_val_list)) - elif isinstance(attr_val, gpd.GeoSeries): - attr_val_list = [getattr(cent, attr_name) for cent in cent_list] - setattr(centroids, attr_name, pd.concat(attr_val_list, ignore_index=True)) - - # finally, remove duplicate points - return centroids.remove_duplicate_points() + centroids = copy.deepcopy(self) + for cent in others: + centroids.append(cent) + + # remove duplicate points + return Centroids.remove_duplicate_points(centroids) def get_closest_point(self, x_lon, y_lat, scheduler=None): """Returns closest centroid and its index to a given point. @@ -385,35 +361,22 @@ def set_area_approx(self, min_resol=1.0e-8): min_resol : float, optional if centroids are points, use this minimum resolution in lat and lon. Default: 1.0e-8 """ - if self.meta: - if hasattr(self.meta['crs'], 'linear_units') and \ - str.lower(self.meta['crs'].linear_units) in ['m', 'metre', 'meter']: - self.area_pixel = np.zeros((self.meta['height'], self.meta['width'])) - self.area_pixel *= abs(self.meta['transform'].a) * abs(self.meta['transform'].e) - return - res_lat, res_lon = self.meta['transform'].e, self.meta['transform'].a - lat_unique = np.arange(self.meta['transform'].f + res_lat / 2, - self.meta['transform'].f + self.meta['height'] * res_lat, - res_lat) - lon_unique_len = self.meta['width'] - res_lat = abs(res_lat) - else: - res_lat, res_lon = np.abs( - u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol)) - lat_unique = np.array(np.unique(self.lat)) - lon_unique_len = len(np.unique(self.lon)) - if PROJ_CEA == self.geometry.crs: - self.area_pixel = np.repeat(res_lat * res_lon, lon_unique_len) - return - - LOGGER.debug('Setting area_pixel approx %s points.', str(self.lat.size)) + res_lat, res_lon = np.abs( + u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol)) + lat_unique = np.array(np.unique(self.lat)) + lon_unique_len = len(np.unique(self.lon)) + if PROJ_CEA == self.geometry.crs: + self.gdf.area_pixel = np.repeat(res_lat * res_lon, lon_unique_len) + return None + + LOGGER.debug('Setting area_pixel approx %s points.', str(self.size)) res_lat = res_lat * ONE_LAT_KM * 1000 res_lon = res_lon * ONE_LAT_KM * 1000 * np.cos(np.radians(lat_unique)) area_approx = np.repeat(res_lat * res_lon, lon_unique_len) if area_approx.size == self.size: - self.area_pixel = area_approx + self.gdf.area_pixel = area_approx else: - raise ValueError('Pixel area of points can not be computed.') + raise ValueError('Pixel area of points cannot be computed.') def set_elevation(self, topo_path): """Set elevation attribute for every pixel or point in meters. @@ -467,82 +430,15 @@ def remove_duplicate_points(cls, centroids): : Centroids Sub-selection of centroids withtout duplicates """ - return cls().from_gdf(centroids.gdf.drop_duplicates()) - - def select(self, reg_id=None, extent=None, sel_cen=None): - """Return Centroids with points in the given reg_id or within mask - - Parameters - ---------- - reg_id : int - region to filter according to region_id values - extent : tuple - Format (min_lon, max_lon, min_lat, max_lat) tuple. - If min_lon > lon_max, the extend crosses the antimeridian and is - [lon_max, 180] + [-180, lon_min] - Borders are inclusive. - sel_cen : np.array - 1-dim mask, overrides reg_id and extent - - Returns - ------- - cen : Centroids - Sub-selection of this object - """ - if sel_cen is None: - sel_cen = self.select_mask(reg_id=reg_id, extent=extent) - - centr = Centroids.from_lat_lon(self.lat[sel_cen], self.lon[sel_cen], self.geometry.crs) - if self.area_pixel.size: - centr.area_pixel = self.area_pixel[sel_cen] - if self.region_id.size: - centr.region_id = self.region_id[sel_cen] - if self.on_land.size: - centr.on_land = self.on_land[sel_cen] - if self.dist_coast.size: - centr.dist_coast = self.dist_coast[sel_cen] - return centr - - def select_mask(self, reg_id=None, extent=None): - """ - Make mask of selected centroids - - Parameters - ---------- - reg_id : int - region to filter according to region_id values - extent : tuple - Format (min_lon, max_lon, min_lat, max_lat) tuple. - If min_lon > lon_max, the extend crosses the antimeridian and is - [lon_max, 180] + [-180, lon_min] - Borders are inclusive. - - Returns - ------- - sel_cen : 1d array of booleans - 1d mask of selected centroids + return cls.from_geodataframe(centroids.gdf.drop_duplicates()) - """ - sel_cen = np.ones(self.size, dtype=bool) - if reg_id is not None: - sel_cen &= np.isin(self.region_id, reg_id) - if extent is not None: - lon_min, lon_max, lat_min, lat_max = extent - lon_max += 360 if lon_min > lon_max else 0 - lon_normalized = u_coord.lon_normalize( - self.lon.copy(), center=0.5 * (lon_min + lon_max)) - sel_cen &= ( - (lon_normalized >= lon_min) & (lon_normalized <= lon_max) & - (self.lat >= lat_min) & (self.lat <= lat_max) - ) - return sel_cen - - def plot(self, axis=None, figsize=(9, 13), **kwargs): + #TODO replace with nice Geodataframe util plot method. + def plot(self, ax=None, figsize=(9, 13), **kwargs): """Plot centroids scatter points over earth. Parameters ---------- - axis : matplotlib.axes._subplots.AxesSubplot, optional + ax : matplotlib.axes._subplots.AxesSubplot, optional axis to use figsize: (float, float), optional figure size for plt.subplots @@ -554,48 +450,21 @@ def plot(self, axis=None, figsize=(9, 13), **kwargs): ------- axis : matplotlib.axes._subplots.AxesSubplot """ - if self.meta and not self.coord.size: - self.set_meta_to_lat_lon() - pad = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() - proj_data, _ = u_plot.get_transformation(self.crs) proj_plot = proj_data if isinstance(proj_data, ccrs.PlateCarree): # use different projections for plot and data to shift the central lon in the plot xmin, ymin, xmax, ymax = u_coord.latlon_bounds(self.lat, self.lon, buffer=pad) proj_plot = ccrs.PlateCarree(central_longitude=0.5 * (xmin + xmax)) - else: - xmin, ymin, xmax, ymax = (self.lon.min() - pad, self.lat.min() - pad, - self.lon.max() + pad, self.lat.max() + pad) - if not axis: - _, axis, _fontsize = u_plot.make_map(proj=proj_plot, figsize=figsize) + if ax is None: + ax = self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) + else: + self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) - axis.set_extent((xmin, xmax, ymin, ymax), crs=proj_data) - u_plot.add_shapes(axis) - axis.scatter(self.lon, self.lat, transform=proj_data, **kwargs) + u_plot.add_shapes(ax) plt.tight_layout() - return axis - - def calc_pixels_polygons(self, scheduler=None): - """Return a gpd.GeoSeries with a polygon for every pixel - - Parameters - ---------- - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” - - Returns - ------- - geo : gpd.GeoSeries - """ - if not self.meta: - self.set_lat_lon_to_meta() - if abs(abs(self.meta['transform'].a) - - abs(self.meta['transform'].e)) > 1.0e-5: - raise ValueError('Area can not be computed for not squared pixels.') - self.set_geometry_points(scheduler) - return self.geometry.buffer(self.meta['transform'].a / 2).envelope + return ax ''' @@ -603,16 +472,6 @@ def calc_pixels_polygons(self, scheduler=None): ''' - def set_raster_file(self, file_name, band=None, **kwargs): - """This function is deprecated, use Centroids.from_raster_file - and Centroids.values_from_raster_files instead.""" - LOGGER.warning("The use of Centroids.set_raster_file is deprecated. " - "Use Centroids.from_raster_file and " - "Centroids.values_from_raster_files instead.") - if not self.meta: - self.__dict__ = Centroids.from_raster_file(file_name, **kwargs).__dict__ - return self.values_from_raster_files([file_name], band=band, **kwargs) - @classmethod def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, dst_crs=None, transform=None, width=None, @@ -651,64 +510,9 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, meta, _ = u_coord.read_raster( file_name, [1], src_crs, window, geometry, dst_crs, transform, width, height, resampling) - return cls(meta=meta) - - def values_from_raster_files(self, file_names, band=None, src_crs=None, window=None, - geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): - """Read raster of bands and set 0 values to the masked ones. - - Each band is an event. Select region using window or geometry. Reproject input by proving - dst_crs and/or (transform, width, height). - - Parameters - ---------- - file_names : str - path of the file - band : list(int), optional - band number to read. Default: [1] - src_crs : crs, optional - source CRS. Provide it if error without it. - window : rasterio.windows.Window, optional - window to read - geometry : list of shapely.geometry, optional - consider pixels only within these shapes - dst_crs : crs, optional - reproject to given crs - transform : rasterio.Affine - affine transformation to apply - wdith : float - number of lons for transform - height : float - number of lats for transform - resampling : rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs + lat, lon = _meta_to_lat_lon(meta) + return cls(lon=lon, lat=lat, crs=dst_crs) - Raises - ------ - ValueError - - Returns - ------- - inten : scipy.sparse.csr_matrix - Each row is an event. - """ - if band is None: - band = [1] - - values = [] - for file_name in file_names: - tmp_meta, data = u_coord.read_raster( - file_name, band, src_crs, window, geometry, dst_crs, - transform, width, height, resampling) - if (tmp_meta['crs'] != self.meta['crs'] - or tmp_meta['transform'] != self.meta['transform'] - or tmp_meta['height'] != self.meta['height'] - or tmp_meta['width'] != self.meta['width']): - raise ValueError('Raster data is inconsistent with contained raster.') - values.append(sparse.csr_matrix(data)) - - return sparse.vstack(values, format='csr') @classmethod def from_vector_file(cls, file_name, dst_crs=None): @@ -726,63 +530,21 @@ def from_vector_file(cls, file_name, dst_crs=None): centr : Centroids Centroids with points according to the given vector file """ - data_frame = gpd.read_file(file_name) - if dst_crs is None: - geometry = data_frame.geometry - else: - geometry = data_frame.geometry.to_crs(dst_crs) - lat, lon = geometry[:].y.values, geometry[:].x.values - return cls(lat=lat, lon=lon, crs=dst_crs) - - def values_from_vector_files(self, file_names, val_names=None, dst_crs=None): - """Read intensity or other data from vector files, making sure that geometry is compatible. - - If the geometry of the shapes in any of the given files does not agree with the - geometry of this Centroids instance, a ValueError is raised. - - Parameters - ---------- - file_names : list(str) - vector files with format supported by fiona and 'geometry' field. - val_names : list(str), optional - list of names of the columns of the values. Default: ['intensity'] - dst_crs : crs, optional - reproject to given crs - - Raises - ------ - ValueError - - Returns - ------- - values : scipy.sparse.csr_matrix - Sparse array of shape (len(val_name), len(geometry)). - """ - if val_names is None: - val_names = ['intensity'] - values = [] - for file_name in file_names: - tmp_lat, tmp_lon, tmp_geometry, data = u_coord.read_vector( - file_name, val_names, dst_crs=dst_crs) - if not (u_coord.equal_crs(tmp_geometry.crs, self.geometry.crs) - and np.allclose(tmp_lat, self.lat) - and np.allclose(tmp_lon, self.lon)): - raise ValueError('Vector data inconsistent with contained vector.') - values.append(sparse.csr_matrix(data)) + centroids = cls.from_geodataframe(gpd.read_file(file_name)) + if dst_crs is not None: + centroids.to_crs(dst_crs, inplace=True) + return centroids - return sparse.vstack(values, format='csr') @classmethod - def from_excel(cls, file_name, var_names=None): + def from_excel(cls, file_name, crs): """Generate a new centroids object from an excel file with column names in var_names. Parameters ---------- file_name : str absolute or relative file name - var_names : dict, default - name of the variables Raises ------ @@ -793,76 +555,38 @@ def from_excel(cls, file_name, var_names=None): centr : Centroids Centroids with data from the given file """ - LOGGER.info('Reading %s', file_name) - if var_names is None: - var_names = DEF_VAR_EXCEL - - try: - dfr = pd.read_excel(file_name, var_names['sheet_name']) - centr = cls.from_lat_lon(dfr[var_names['col_name']['lat']], - dfr[var_names['col_name']['lon']]) - try: - centr.region_id = dfr[var_names['col_name']['region_id']] - except KeyError: - pass + df = pd.read_excel(file_name) + centroids = cls(**df.to_dict(orient='list'), crs=crs) + return centroids - except KeyError as err: - raise KeyError("Not existing variable: %s" % str(err)) from err - - return centr - - def write_hdf5(self, file_data): - """Write centroids attributes into hdf5 format. + def write_hdf5(self, file_name): + """Write data frame and metadata in hdf5 format Parameters ---------- - file_data : str or h5 - If string, path to write data. If h5 object, the datasets will be generated there. + file_name : str + (path and) file name to write to. """ - if isinstance(file_data, str): - LOGGER.info('Writing %s', file_data) - with h5py.File(file_data, 'w') as data: - self._write_hdf5(data) - else: - self._write_hdf5(file_data) - - def _write_hdf5(self, data): - str_dt = h5py.special_dtype(vlen=str) - for centr_name, centr_val in self.__dict__.items(): - if isinstance(centr_val, np.ndarray): - data.create_dataset(centr_name, data=centr_val, compression="gzip") - elif centr_name == 'meta' and centr_val: - centr_meta = data.create_group(centr_name) - for key, value in centr_val.items(): - if value is None: - LOGGER.info("Skip writing Centroids.meta['%s'] for it is None.", key) - elif key not in ('crs', 'transform'): - if not isinstance(value, str): - centr_meta.create_dataset(key, (1,), data=value, dtype=type(value)) - else: - hf_str = centr_meta.create_dataset(key, (1,), dtype=str_dt) - hf_str[0] = value - elif key == 'transform': - centr_meta.create_dataset( - key, (6,), - data=[value.a, value.b, value.c, value.d, value.e, value.f], - dtype=float) - elif centr_name == 'geometry': - LOGGER.debug("Skip writing Centroids.geometry") - else: - LOGGER.info("Skip writing Centroids.%s:%s, it's neither an array nor a non-empty" - " meta object", centr_name, centr_val.__class__.__name__) - hf_str = data.create_dataset('crs', (1,), dtype=str_dt) - hf_str[0] = CRS.from_user_input(self.crs).to_wkt() - - def read_hdf5(self, *args, **kwargs): - """This function is deprecated, use Centroids.from_hdf5 instead.""" - LOGGER.warning("The use of Centroids.read_hdf5 is deprecated." - "Use Centroids.from_hdf5 instead.") - self.__dict__ = Centroids.from_hdf5(*args, **kwargs).__dict__ + LOGGER.info('Writing %s', file_name) + store = pd.HDFStore(file_name, mode='w') + pandas_df = pd.DataFrame(self.gdf) + for col in pandas_df.columns: + if str(pandas_df[col].dtype) == "geometry": + pandas_df[col] = np.asarray(self.gdf[col]) + + # Avoid pandas PerformanceWarning when writing HDF5 data + with warnings.catch_warnings(): + warnings.simplefilter("ignore", category=pd.errors.PerformanceWarning) + # Write dataframe + store.put('centroids', pandas_df) + + store.get_storer('centroids').attrs.metadata = {'crs': CRS.from_user_input(self.crs).to_wkt()} + + store.close() + @classmethod - def from_hdf5(cls, file_data): + def from_hdf5(cls, file_name): """Create a centroids object from a HDF5 file. Parameters @@ -875,44 +599,18 @@ def from_hdf5(cls, file_data): centr : Centroids Centroids with data from the given file """ - if isinstance(file_data, (str, Path)): - LOGGER.info('Reading %s', file_data) - with h5py.File(file_data, 'r') as data: - return cls._from_hdf5(data) - else: - return cls._from_hdf5(file_data) + if not Path(file_name).is_file(): + raise FileNotFoundError(str(file_name)) + + with pd.HDFStore(file_name, mode='r') as store: + metadata = store.get_storer('centroids').attrs.metadata + # in previous versions of CLIMADA and/or geopandas, the CRS was stored in '_crs'/'crs' + crs = metadata.get('crs') + gdf = gpd.GeoDataFrame(store['centroids'], crs=crs) + + return cls.from_geodataframe(gdf) + - @classmethod - def _from_hdf5(cls, data): - centr = None - crs = DEF_CRS - if data.get('crs'): - crs = u_coord.to_crs_user_input(data.get('crs')[0]) - if data.get('lat') and data.get('lat').size: - centr = cls.from_lat_lon( - np.array(data.get('lat')), - np.array(data.get('lon')), - crs=crs) - elif data.get('latitude') and data.get('latitude').size: - centr = cls.from_lat_lon( - np.array(data.get('latitude')), - np.array(data.get('longitude')), - crs=crs) - else: - centr_meta = data.get('meta') - meta = dict() - meta['crs'] = crs - for key, value in centr_meta.items(): - if key != 'transform': - meta[key] = value[0] - else: - meta[key] = rasterio.Affine(*value) - centr = cls(meta=meta) - - for centr_name in data.keys(): - if centr_name not in ('crs', 'lat', 'lon', 'meta'): - setattr(centr, centr_name, np.array(data.get(centr_name))) - return centr def _ne_crs_geom(self, scheduler=None): """Return `geometry` attribute in the CRS of Natural Earth. @@ -929,3 +627,10 @@ def _ne_crs_geom(self, scheduler=None): if u_coord.equal_crs(self.gdfgeometry.crs, u_coord.NE_CRS): return self.gdf.geometry return self.gdf.geometry.to_crs(u_coord.NE_CRS) + +def _meta_to_lat_lon(meta): + """Compute lat and lon of every pixel center from meta raster.""" + xgrid, ygrid = u_coord.raster_to_meshgrid( + meta['transform'], meta['width'], meta['height'] + ) + return ygrid.flatten(), xgrid.flatten() diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 9b925a04d6..4c75ddcb3a 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -29,6 +29,9 @@ from climada.hazard.centroids.centr import Centroids from climada.util.constants import GLB_CENTROIDS_MAT, HAZ_TEMPLATE_XLS import climada.hazard.test as hazard_test +from climada.util.constants import DEF_CRS +import climada.util.coordinates as u_coord + HAZ_TEST_MAT = Path(hazard_test.__file__).parent / 'data' / 'atl_prob_no_name.mat' @@ -36,20 +39,9 @@ class TestCentroidsReader(unittest.TestCase): """Test read functions Centroids""" - def test_mat_pass(self): - """Read a centroid mat file correctly.""" - centroids = Centroids.from_mat(HAZ_TEST_MAT) - - n_centroids = 100 - self.assertEqual(centroids.coord.shape, (n_centroids, 2)) - self.assertEqual(centroids.coord[0][0], 21) - self.assertEqual(centroids.coord[0][1], -84) - self.assertEqual(centroids.coord[n_centroids - 1][0], 30) - self.assertEqual(centroids.coord[n_centroids - 1][1], -75) - def test_centroid_pass(self): """Read a centroid excel file correctly.""" - centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS) + centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS, crs=DEF_CRS) n_centroids = 45 self.assertEqual(centroids.coord.shape[0], n_centroids) @@ -61,40 +53,40 @@ def test_centroid_pass(self): def test_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" - gdf = gpd.GeoDataFrame(pd.read_excel(HAZ_TEMPLATE_XLS)) - gdf.geometry = gpd.points_from_xy( - gdf['longitude'], gdf['latitude'] - ) - gdf['elevation'] = np.random.rand(gdf.geometry.size) - gdf['region_id'] = np.zeros(gdf.geometry.size) - gdf['region_id'][0] = np.NaN - gdf['geom'] = gdf.geometry # this should have no effect on centroids + crs = DEF_CRS + lat = np.arange(170, 180) + lon = np.arange(-50, -40) + elevation = np.repeat(1, 10) + region_id = np.arange(1, 11) + extra = np.repeat(str('a'), 10) + + gdf = gpd.GeoDataFrame({ + 'geometry' : gpd.points_from_xy(lon, lat), + 'elevation' : elevation, + 'region_id' : region_id, + 'extra' : extra + }, crs=crs) centroids = Centroids.from_geodataframe(gdf) - self.assertEqual(centroids.geometry.size, 45) - self.assertEqual(centroids.lon[0], 32.57) - self.assertEqual(centroids.lat[0], -25.95) - self.assertEqual(centroids.elevation.size, 45) - self.assertIsInstance(centroids.geometry, gpd.GeoSeries) - self.assertIsInstance(centroids.geometry.total_bounds, np.ndarray) + for name, array in zip(['lat', 'lon', 'elevation', 'region_id'], + [lat, lon, elevation, region_id]): + np.testing.assert_array_equal(array, getattr(centroids, name)) + np.testing.assert_array_equal(extra, centroids.gdf.extra.values) + self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) class TestCentroidsWriter(unittest.TestCase): - def test_write_hdf5(self): - tmpfile = 'test_write_hdf5.out.hdf5' - xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon = 5, 6.5, -0.08, 0.12, 4, 5 - centr = Centroids.from_pix_bounds(xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon) - with self.assertLogs('climada.hazard.centroids.centr', level='INFO') as cm: - centr.write_hdf5(tmpfile) - self.assertEqual(1, len(cm.output)) - self.assertIn(f"Writing {tmpfile}", cm.output[0]) - centr.meta['nodata'] = None - with self.assertLogs('climada.hazard.centroids.centr', level='INFO') as cm: - centr.write_hdf5(tmpfile) - self.assertEqual(2, len(cm.output)) - self.assertIn("Skip writing Centroids.meta['nodata'] for it is None.", cm.output[1]) + def test_read_write_hdf5(self): + tmpfile = Path('test_write_hdf5.out.hdf5') + latitude = np.arange(0,10) + longitude = np.arange(-10,0) + crs = DEF_CRS + centroids_w = Centroids(latitude=latitude, longitude=longitude, crs=crs) + centroids_w.write_hdf5(tmpfile) + centroids_r = Centroids.from_hdf5(tmpfile) + self.assertTrue(centroids_w == centroids_r) Path(tmpfile).unlink() @@ -103,14 +95,14 @@ class TestCentroidsMethods(unittest.TestCase): def test_union(self): lat, lon = np.array([0, 1]), np.array([0, -1]) on_land = np.array([True, True]) - cent1 = Centroids(lat=lat, lon=lon, on_land=on_land) + cent1 = Centroids(latitude=lat, longitude=lon, on_land=on_land) lat2, lon2 = np.array([2, 3]), np.array([-2, 3]) on_land2 = np.array([False, False]) - cent2 = Centroids(lat=lat2, lon=lon2, on_land=on_land2) + cent2 = Centroids(latitude=lat2, longitude=lon2, on_land=on_land2) lat3, lon3 = np.array([-1, -2]), np.array([1, 2]) - cent3 = Centroids(lat=lat3,lon=lon3) + cent3 = Centroids(latitude=lat3,longitude=lon3) cent = cent1.union(cent2) np.testing.assert_array_equal(cent.lat, [0, 1, 2, 3]) From 98a898e2328908d331fb0a788598a1d8c079bae6 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 14 Jul 2023 13:34:44 +0200 Subject: [PATCH 007/192] Remove area pixel --- climada/hazard/centroids/centr.py | 71 ++++++------------------------- 1 file changed, 13 insertions(+), 58 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index f07b79cb35..225480a629 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -82,9 +82,9 @@ class Centroids(): Attributes ---------- lat : np.array - latitudes + latitudes in the chosen crs (can be any unit) lon : np.array - longitudes + longitudes in the chosen crs (can be any unit) crs : str, optional coordinate reference system, default is WGS84 area_pixel : np.array, optional @@ -111,7 +111,6 @@ def __init__( on_land: Optional[np.ndarray] = None, dist_coast: Optional[np.ndarray] = None, elevation: Optional[np.ndarray] = None, - area_pixel: Optional[np.ndarray] = None, **kwargs ): """Initialization @@ -146,8 +145,6 @@ def __init__( attr_dict['dist_coast'] = dist_coast if elevation is not None: attr_dict['elevation'] = elevation - if area_pixel is not None: - attr_dict['area_pixel'] = area_pixel if kwargs: attr_dict = dict(**attr_dict, **kwargs) self.gdf = gpd.GeoDataFrame(data=attr_dict, crs=crs) @@ -176,10 +173,6 @@ def region_id(self): def elevation(self): return self.gdf['elevation'] - @property - def area_pixel(self): - return self.gdf['area_pixel'] - @property def dist_coast(self): return self.gdf['dist_coast'] @@ -328,55 +321,11 @@ def set_region_id(self, scheduler=None): """ ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting region_id %s points.', str(self.size)) - self.gdf.region_id = u_coord.get_country_code( - ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) - - def set_area_pixel(self, min_resol=1.0e-8, scheduler=None): - """Set `area_pixel` attribute for every pixel or point (area in m*m). - - Parameters - ---------- - min_resol : float, optional - if centroids are points, use this minimum resolution in lat and lon. Default: 1.0e-8 - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” - """ - - res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) - res = np.abs(res).min() - LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) - xy_pixels = self.geometry.buffer(res / 2).envelope - if PROJ_CEA == self.geometry.crs: - self.gdf.area_pixel = xy_pixels.area.values + if u_coord.equal_crs(self.crs, 'epsg:4326'): + self.gdf.region_id = u_coord.get_country_code( + ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) else: - self.gdf.area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values - - def set_area_approx(self, min_resol=1.0e-8): - """Set `area_pixel` attribute for every pixel or point (approximate area in m*m). - - Values are differentiated per latitude. Faster than `set_area_pixel`. - - Parameters - ---------- - min_resol : float, optional - if centroids are points, use this minimum resolution in lat and lon. Default: 1.0e-8 - """ - res_lat, res_lon = np.abs( - u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol)) - lat_unique = np.array(np.unique(self.lat)) - lon_unique_len = len(np.unique(self.lon)) - if PROJ_CEA == self.geometry.crs: - self.gdf.area_pixel = np.repeat(res_lat * res_lon, lon_unique_len) - return None - - LOGGER.debug('Setting area_pixel approx %s points.', str(self.size)) - res_lat = res_lat * ONE_LAT_KM * 1000 - res_lon = res_lon * ONE_LAT_KM * 1000 * np.cos(np.radians(lat_unique)) - area_approx = np.repeat(res_lat * res_lon, lon_unique_len) - if area_approx.size == self.size: - self.gdf.area_pixel = area_approx - else: - raise ValueError('Pixel area of points cannot be computed.') + raise NotImplementedError('The region id can only be assigned if the crs is epsg:4326') def set_elevation(self, topo_path): """Set elevation attribute for every pixel or point in meters. @@ -396,10 +345,13 @@ def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): signed : bool If True, use signed distances (positive off shore and negative on land). Default: False. precomputed : bool - If True, use precomputed distances (from NASA). Default: False. + If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 + Default: False. scheduler : str Used for dask map_partitions. "threads", "synchronous" or "processes" """ + if not u_coord.equal_crs(self.crs, 'epsg:4326'): + raise NotImplementedError('The distance to coast can only be assigned if the crs is epsg:4326') if precomputed: self.gdf.dist_coast = u_coord.dist_to_coast_nasa( self.lat, self.lon, highres=True, signed=signed) @@ -416,6 +368,9 @@ def set_on_land(self, scheduler=None): scheduler : str used for dask map_partitions. “threads”, “synchronous” or “processes” """ + if not u_coord.equal_crs(self.crs, 'epsg:4326'): + raise NotImplementedError('The on land property can only be assigned if the crs is epsg:4326') + ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) self.gdf.on_land = u_coord.coord_on_land( From c77a2d935ed33c5c96ea23a0b8e3e41083ad35f4 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 17 Jul 2023 14:55:34 +0200 Subject: [PATCH 008/192] Add method to compute the area per pixel (not attribute) --- climada/hazard/centroids/centr.py | 27 +++++++++++++++++++++++++++ 1 file changed, 27 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 225480a629..9f3fa56169 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -565,7 +565,34 @@ def from_hdf5(cls, file_name): return cls.from_geodataframe(gdf) + def area_pixel(self, min_resol=1.0e-8, scheduler=None): + """Computes the area per centroid in the CEA projection + assuming that the centroids define a regular grid of pixels + (area in m*m). + Parameters + ---------- + min_resol : float, optional + Use this minimum resolution in lat and lon. Is passed to the + method climada.util.coordinates.get_resolution. + Default: 1.0e-8 + scheduler : str + used for dask map_partitions. “threads”, “synchronous” or “processes” + + See also + -------- + climada.util.coordinates.get_resolution + """ + + res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) + res = np.abs(res).min() + LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) + xy_pixels = self.geometry.buffer(res / 2).envelope + if PROJ_CEA == self.geometry.crs: + area_pixel = xy_pixels.area.values + else: + area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values + return area_pixel def _ne_crs_geom(self, scheduler=None): """Return `geometry` attribute in the CRS of Natural Earth. From 913c0f1b93fd3905a65dd2043c783f9205a999d4 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 18 Jul 2023 10:36:13 +0200 Subject: [PATCH 009/192] Make get_area_pixel --- climada/hazard/centroids/centr.py | 57 ++++++++++++++++--------------- climada/hazard/storm_europe.py | 8 ++--- 2 files changed, 33 insertions(+), 32 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 9f3fa56169..a4b41b6ac6 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -421,6 +421,35 @@ def plot(self, ax=None, figsize=(9, 13), **kwargs): plt.tight_layout() return ax + def get_area_pixel(self, min_resol=1.0e-8, scheduler=None): + """Computes the area per centroid in the CEA projection + assuming that the centroids define a regular grid of pixels + (area in m*m). + + Parameters + ---------- + min_resol : float, optional + Use this minimum resolution in lat and lon. Is passed to the + method climada.util.coordinates.get_resolution. + Default: 1.0e-8 + scheduler : str + used for dask map_partitions. “threads”, “synchronous” or “processes” + + See also + -------- + climada.util.coordinates.get_resolution + """ + + res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) + res = np.abs(res).min() + LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) + xy_pixels = self.geometry.buffer(res / 2).envelope + if PROJ_CEA == self.geometry.crs: + area_pixel = xy_pixels.area.values + else: + area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values + return area_pixel + ''' I/O methods @@ -565,34 +594,6 @@ def from_hdf5(cls, file_name): return cls.from_geodataframe(gdf) - def area_pixel(self, min_resol=1.0e-8, scheduler=None): - """Computes the area per centroid in the CEA projection - assuming that the centroids define a regular grid of pixels - (area in m*m). - - Parameters - ---------- - min_resol : float, optional - Use this minimum resolution in lat and lon. Is passed to the - method climada.util.coordinates.get_resolution. - Default: 1.0e-8 - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” - - See also - -------- - climada.util.coordinates.get_resolution - """ - - res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) - res = np.abs(res).min() - LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) - xy_pixels = self.geometry.buffer(res / 2).envelope - if PROJ_CEA == self.geometry.crs: - area_pixel = xy_pixels.area.values - else: - area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values - return area_pixel def _ne_crs_geom(self, scheduler=None): """Return `geometry` attribute in the CRS of Natural Earth. diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index d74bf9545a..c4625a1a7d 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -572,7 +572,6 @@ def _centroids_from_nc(file_name): lats, lons = np.array([np.repeat(lats, len(lons)), np.tile(lons, len(lats))]) cent = Centroids.from_lat_lon(lats, lons) - cent.set_area_pixel() cent.set_on_land() return cent @@ -672,18 +671,19 @@ def calc_ssi(self, method='dawkins', intensity=None, on_land=True, intensity = intensity.multiply(intensity > self.intensity_thres) cent = self.centroids + area_pixel = cent.get_area_pixel() if sel_cen is not None: pass elif on_land is True: sel_cen = cent.on_land else: # select all centroids - sel_cen = np.ones_like(cent.area_pixel, dtype=bool) + sel_cen = np.ones_like(area_pixel, dtype=bool) ssi = np.zeros(intensity.shape[0]) if method == 'dawkins': - area_c = cent.area_pixel / 1000 / 1000 * sel_cen + area_c = area_pixel / 1000 / 1000 * sel_cen for i, inten_i in enumerate(intensity): ssi_i = area_c * inten_i.power(3).todense().T # matrix crossproduct (row x column vector) @@ -691,7 +691,7 @@ def calc_ssi(self, method='dawkins', intensity=None, on_land=True, elif method == 'wisc_gust': for i, inten_i in enumerate(intensity[:, sel_cen]): - area = np.sum(cent.area_pixel[inten_i.indices]) / 1000 / 1000 + area = np.sum(area_pixel[inten_i.indices]) / 1000 / 1000 inten_mean = np.mean(inten_i) ssi[i] = area * np.power(inten_mean, 3) From 5ec2859d5147822c8214e45cecbce2769b6014e8 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 18 Jul 2023 10:36:27 +0200 Subject: [PATCH 010/192] Remove not often used dist_coast and elevation --- climada/hazard/centroids/centr.py | 27 ++++++++++----------------- 1 file changed, 10 insertions(+), 17 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index a4b41b6ac6..d92f3508a4 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -109,8 +109,6 @@ def __init__( crs: str = DEF_CRS, region_id: Optional[np.ndarray] = None, on_land: Optional[np.ndarray] = None, - dist_coast: Optional[np.ndarray] = None, - elevation: Optional[np.ndarray] = None, **kwargs ): """Initialization @@ -141,8 +139,6 @@ def __init__( attr_dict['region_id'] = region_id if on_land is not None: attr_dict['on_land'] = on_land - if dist_coast is not None: - attr_dict['dist_coast'] = dist_coast if elevation is not None: attr_dict['elevation'] = elevation if kwargs: @@ -169,14 +165,6 @@ def on_land(self): def region_id(self): return self.gdf['region_id'] - @property - def elevation(self): - return self.gdf['elevation'] - - @property - def dist_coast(self): - return self.gdf['dist_coast'] - @property def crs(self): return self.gdf.crs @@ -218,6 +206,11 @@ def __eq__(self, other): def from_geodataframe(cls, gdf): return cls(longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, crs=gdf.crs, **gdf.drop(columns=['geometry']).to_dict(orient='list')) + @classmethod + def from_exposures(cls, exposures): + gdf = exposures.gdf[['geometry', 'region_id']] + return cls.from_geodtaframe(gdf) + @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): """Create Centroids object with meta attribute according to points border data. @@ -327,7 +320,7 @@ def set_region_id(self, scheduler=None): else: raise NotImplementedError('The region id can only be assigned if the crs is epsg:4326') - def set_elevation(self, topo_path): + def get_elevation(self, topo_path): """Set elevation attribute for every pixel or point in meters. Parameters @@ -335,9 +328,9 @@ def set_elevation(self, topo_path): topo_path : str Path to a raster file containing gridded elevation data. """ - self.gdf.elevation = u_coord.read_raster_sample(topo_path, self.lat, self.lon) + return u_coord.read_raster_sample(topo_path, self.lat, self.lon) - def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): + def get_dist_coast(self, signed=False, precomputed=False, scheduler=None): """Set dist_coast attribute for every pixel or point in meters. Parameters @@ -353,12 +346,12 @@ def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): if not u_coord.equal_crs(self.crs, 'epsg:4326'): raise NotImplementedError('The distance to coast can only be assigned if the crs is epsg:4326') if precomputed: - self.gdf.dist_coast = u_coord.dist_to_coast_nasa( + return u_coord.dist_to_coast_nasa( self.lat, self.lon, highres=True, signed=signed) else: ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) - self.gdf.dist_coast = u_coord.dist_to_coast(ne_geom, signed=signed) + return u_coord.dist_to_coast(ne_geom, signed=signed) def set_on_land(self, scheduler=None): """Set on_land attribute for every pixel or point. From e2ac9b7a09cd37a96e4db11735fa48628bcfac7a Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 7 Aug 2023 18:01:46 +0200 Subject: [PATCH 011/192] Remove unused meta --- climada/hazard/base.py | 28 +++++++++------------------- 1 file changed, 9 insertions(+), 19 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 918978c04e..852da0287e 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -2430,25 +2430,15 @@ def change_centroids(self, centroids, threshold=NEAREST_NEIGHBOR_THRESHOLD): haz_new_cent = copy.deepcopy(self) haz_new_cent.centroids = centroids - # indices for mapping matrices onto common centroids - if centroids.meta: - new_cent_idx = u_coord.match_grid_points( - self.centroids.lon, self.centroids.lat, - centroids.meta['width'], centroids.meta['height'], - centroids.meta['transform']) - if -1 in new_cent_idx: - raise ValueError("At least one hazard centroid is out of" - "the raster defined by centroids.meta." - " Please choose a larger raster.") - else: - new_cent_idx = u_coord.match_coordinates( - self.centroids.coord, centroids.coord, threshold=threshold - ) - if -1 in new_cent_idx: - raise ValueError("At least one hazard centroid is at a larger " - f"distance than the given threshold {threshold} " - "from the given centroids. Please choose a " - "larger threshold or enlarge the centroids") + + new_cent_idx = u_coord.match_coordinates( + self.centroids.coord, centroids.coord, threshold=threshold + ) + if -1 in new_cent_idx: + raise ValueError("At least one hazard centroid is at a larger " + f"distance than the given threshold {threshold} " + "from the given centroids. Please choose a " + "larger threshold or enlarge the centroids") if np.unique(new_cent_idx).size < new_cent_idx.size: raise ValueError("At least two hazard centroids are mapped to the same " From 5dd4ffe1c0bb1e60ab67b1bb60d5c512f3a9306f Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 7 Aug 2023 18:02:32 +0200 Subject: [PATCH 012/192] Change Centroids call to new signature --- climada/hazard/base.py | 10 +- climada/hazard/centroids/centr.py | 86 +++++++++++-- climada/hazard/centroids/test/test_centr.py | 6 +- climada/hazard/centroids/test/test_vec_ras.py | 106 +++------------- climada/hazard/storm_europe.py | 2 +- climada/hazard/tc_tracks.py | 2 +- climada/hazard/test/test_base.py | 118 ++++-------------- 7 files changed, 122 insertions(+), 208 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 852da0287e..9e7d1d411f 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -230,7 +230,7 @@ def __init__(self, """ self.tag = TagHazard(haz_type, **tag_kwargs) self.units = units - self.centroids = centroids if centroids is not None else Centroids() + self.centroids = centroids if centroids is not None else Centroids(np.empty(0), np.empty(0)) # following values are defined for each event self.event_id = event_id if event_id is not None else np.array([], int) self.frequency = frequency if frequency is not None else np.array( @@ -283,7 +283,6 @@ def check(self): ------ ValueError """ - self.centroids.check() self._check_events() @classmethod @@ -762,8 +761,10 @@ def from_xarray_raster( ) # Transform coordinates into centroids - centroids = Centroids.from_lat_lon( - data[coords["latitude"]].values, data[coords["longitude"]].values, crs=crs, + centroids = Centroids( + latitude=data[coords["latitude"]].values, + longitude=data[coords["longitude"]].values, + crs=crs, ) def to_csr_matrix(array: xr.DataArray) -> sparse.csr_matrix: @@ -1392,7 +1393,6 @@ def select(self, event_names=None, event_id=None, date=None, orig=None, LOGGER.info('No hazard centroids within extent and region') return None - sel_cen = sel_cen.nonzero()[0] for (var_name, var_val) in self.__dict__.items(): if isinstance(var_val, np.ndarray) and var_val.ndim == 1 \ and var_val.size > 0: diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index d92f3508a4..83b394dbd0 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -127,10 +127,8 @@ def __init__( on land (True) and on sea (False) of size size. Defaults to empty array region_id : np.array, optional country region code of size size, Defaults to empty array - elevation : np.array, optional - elevation of size size. Defaults to empty array - dist_coast : np.array, optional - distance to coast of size size. Defaults to empty array + kwargs: + columns of values to passed to the geodataframe constructor """ attr_dict = { 'geometry': gpd.points_from_xy(longitude, latitude, crs=crs), @@ -139,8 +137,6 @@ def __init__( attr_dict['region_id'] = region_id if on_land is not None: attr_dict['on_land'] = on_land - if elevation is not None: - attr_dict['elevation'] = elevation if kwargs: attr_dict = dict(**attr_dict, **kwargs) self.gdf = gpd.GeoDataFrame(data=attr_dict, crs=crs) @@ -204,7 +200,12 @@ def __eq__(self, other): @classmethod def from_geodataframe(cls, gdf): - return cls(longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, crs=gdf.crs, **gdf.drop(columns=['geometry']).to_dict(orient='list')) + return cls( + longitude=gdf.geometry.x.values, + latitude=gdf.geometry.y.values, + crs=gdf.crs, + **gdf.drop(columns=['geometry']).to_dict(orient='list') + ) @classmethod def from_exposures(cls, exposures): @@ -233,7 +234,7 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): """ rows, cols, ras_trans = u_coord.pts_to_raster_meta(points_bounds, (res, -res)) x_grid, y_grid = u_coord.raster_to_meshgrid(ras_trans, cols, rows) - return cls(lat=y_grid, lon=x_grid, crs=crs) + return cls(latitude=y_grid.flatten(), longitude=x_grid.flatten(), crs=crs) def append(self, centr): """Append centroids points. @@ -321,7 +322,7 @@ def set_region_id(self, scheduler=None): raise NotImplementedError('The region id can only be assigned if the crs is epsg:4326') def get_elevation(self, topo_path): - """Set elevation attribute for every pixel or point in meters. + """Return elevation attribute for every pixel or point in meters. Parameters ---------- @@ -331,7 +332,7 @@ def get_elevation(self, topo_path): return u_coord.read_raster_sample(topo_path, self.lat, self.lon) def get_dist_coast(self, signed=False, precomputed=False, scheduler=None): - """Set dist_coast attribute for every pixel or point in meters. + """Get dist_coast attribute for every pixel or point in meters. Parameters ---------- @@ -366,7 +367,7 @@ def set_on_land(self, scheduler=None): ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) - self.gdf.on_land = u_coord.coord_on_land( + self.gdf['on_land'] = u_coord.coord_on_land( ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) @classmethod @@ -380,6 +381,65 @@ def remove_duplicate_points(cls, centroids): """ return cls.from_geodataframe(centroids.gdf.drop_duplicates()) + def select(self, reg_id=None, extent=None, sel_cen=None): + """Return Centroids with points in the given reg_id or within mask + + Parameters + ---------- + reg_id : int + region to filter according to region_id values + extent : tuple + Format (min_lon, max_lon, min_lat, max_lat) tuple. + If min_lon > lon_max, the extend crosses the antimeridian and is + [lon_max, 180] + [-180, lon_min] + Borders are inclusive. + sel_cen : np.array + 1-dim mask, overrides reg_id and extent + + Returns + ------- + cen : Centroids + Sub-selection of this object + """ + if sel_cen is None: + sel_cen = self.select_mask(reg_id=reg_id, extent=extent) + + return Centroids.from_geodataframe(self.gdf[sel_cen]) + + def select_mask(self, reg_id=None, extent=None): + """ + Make mask of selected centroids + + Parameters + ---------- + reg_id : int + region to filter according to region_id values + extent : tuple + Format (min_lon, max_lon, min_lat, max_lat) tuple. + If min_lon > lon_max, the extend crosses the antimeridian and is + [lon_max, 180] + [-180, lon_min] + Borders are inclusive. + + Returns + ------- + sel_cen : 1d array of booleans + 1d mask of selected centroids + + """ + sel_cen = np.ones(self.size, dtype=bool) + if reg_id is not None: + sel_cen &= np.isin(self.region_id, reg_id) + if extent is not None: + lon_min, lon_max, lat_min, lat_max = extent + lon_max += 360 if lon_min > lon_max else 0 + lon_normalized = u_coord.lon_normalize( + self.lon.copy(), center=0.5 * (lon_min + lon_max)) + sel_cen &= ( + (lon_normalized >= lon_min) & (lon_normalized <= lon_max) & + (self.lat >= lat_min) & (self.lat <= lat_max) + ) + return sel_cen + #TODO replace with nice Geodataframe util plot method. def plot(self, ax=None, figsize=(9, 13), **kwargs): """Plot centroids scatter points over earth. @@ -488,7 +548,7 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, file_name, [1], src_crs, window, geometry, dst_crs, transform, width, height, resampling) lat, lon = _meta_to_lat_lon(meta) - return cls(lon=lon, lat=lat, crs=dst_crs) + return cls(longitude=lon, latitude=lat, crs=dst_crs) @classmethod @@ -600,7 +660,7 @@ def _ne_crs_geom(self, scheduler=None): ------- geo : gpd.GeoSeries """ - if u_coord.equal_crs(self.gdfgeometry.crs, u_coord.NE_CRS): + if u_coord.equal_crs(self.gdf.geometry.crs, u_coord.NE_CRS): return self.gdf.geometry return self.gdf.geometry.to_crs(u_coord.NE_CRS) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 4c75ddcb3a..a120cb6484 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -56,21 +56,19 @@ def test_geodataframe(self): crs = DEF_CRS lat = np.arange(170, 180) lon = np.arange(-50, -40) - elevation = np.repeat(1, 10) region_id = np.arange(1, 11) extra = np.repeat(str('a'), 10) gdf = gpd.GeoDataFrame({ 'geometry' : gpd.points_from_xy(lon, lat), - 'elevation' : elevation, 'region_id' : region_id, 'extra' : extra }, crs=crs) centroids = Centroids.from_geodataframe(gdf) - for name, array in zip(['lat', 'lon', 'elevation', 'region_id'], - [lat, lon, elevation, region_id]): + for name, array in zip(['lat', 'lon', 'region_id'], + [lat, lon, region_id]): np.testing.assert_array_equal(array, getattr(centroids, name)) np.testing.assert_array_equal(extra, centroids.gdf.extra.values) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index fa55ffe2a8..9846845473 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -327,22 +327,6 @@ def test_equal_pass(self): class TestRaster(unittest.TestCase): """Test CentroidsRaster class""" - def test_from_pix_bounds_pass(self): - """Test from_pix_bounds""" - xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon = 10, 5, -0.5, 0.2, 20, 25 - centr = Centroids.from_pix_bounds(xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon) - self.assertTrue(u_coord.equal_crs(centr.meta['crs'], DEF_CRS)) - self.assertEqual(centr.meta['width'], n_lon) - self.assertEqual(centr.meta['height'], n_lat) - self.assertAlmostEqual(centr.meta['transform'][0], d_lon) - self.assertAlmostEqual(centr.meta['transform'][1], 0.0) - self.assertAlmostEqual(centr.meta['transform'][2], xo_lon) - self.assertAlmostEqual(centr.meta['transform'][3], 0.0) - self.assertAlmostEqual(centr.meta['transform'][4], d_lat) - self.assertAlmostEqual(centr.meta['transform'][5], xf_lat) - self.assertTrue('lat' in centr.__dict__.keys()) - self.assertTrue('lon' in centr.__dict__.keys()) - def test_from_pnt_bounds_pass(self): """Test from_pnt_bounds""" left, bottom, right, top = 5, 0, 10, 10 @@ -428,7 +412,7 @@ def test_area_pass(self): self.assertTrue( np.allclose(centr_ras.area_pixel, np.ones(60 * 50) * 0.009000000000000341 * 0.009000000000000341)) - +''' def test_area_approx(self): """Test set_area_approx""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) @@ -439,6 +423,7 @@ def test_area_approx(self): self.assertEqual(np.unique(centr_ras.area_pixel).size, 60) self.assertTrue(np.array_equal((approx_dim / np.unique(centr_ras.area_pixel)).astype(int), np.ones(60))) +''' def test_size_pass(self): """Test size property""" @@ -496,29 +481,13 @@ def test_set_meta_to_lat_lon_pass(self): self.assertAlmostEqual(np.diff(centr.lat).max(), meta['transform'][4]) self.assertTrue(u_coord.equal_crs(geometry.crs, centr.geometry.crs)) - def test_append_equal_pass(self): - """Append raster""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_bis = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_bis.append(centr_ras) - self.assertAlmostEqual(centr_bis.meta['crs'], DEF_CRS) - self.assertAlmostEqual(centr_bis.meta['transform'].c, -69.33714959699981) - self.assertAlmostEqual(centr_bis.meta['transform'].a, 0.009000000000000341) - self.assertAlmostEqual(centr_bis.meta['transform'].b, 0.0) - self.assertAlmostEqual(centr_bis.meta['transform'].f, 10.42822096697894) - self.assertAlmostEqual(centr_bis.meta['transform'].d, 0.0) - self.assertAlmostEqual(centr_bis.meta['transform'].e, -0.009000000000000341) - self.assertEqual(centr_bis.meta['height'], 60) - self.assertEqual(centr_bis.meta['width'], 50) - def test_equal_pass(self): """Test equal""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) centr_bis = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(51, 61, 10, 10)) - self.assertFalse(centr_ras.equal(centr_bis)) - self.assertFalse(centr_bis.equal(centr_ras)) - self.assertTrue(centr_ras.equal(centr_ras)) - self.assertTrue(centr_bis.equal(centr_bis)) + self.assertFalse(centr_ras == centr_bis) + self.assertTrue(centr_ras == centr_ras) + self.assertTrue(centr_bis == centr_bis) class TestCentroids(unittest.TestCase): @@ -528,11 +497,9 @@ def test_centroids_check_pass(self): """Test vector data in Centroids""" data_vec = data_vector() lat, lon, geometry = data_vec - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - centr.check() + centr = Centroids(latitude=lat, longitude=lon, crs=geometry.crs) self.assertTrue(u_coord.equal_crs(centr.crs, data_vec[2].crs)) - self.assertIsInstance(centr.total_bounds, tuple) for i in range(4): self.assertEqual(centr.total_bounds[i], data_vec[2].total_bounds[i]) @@ -544,50 +511,6 @@ def test_centroids_check_pass(self): self.assertTrue(np.array_equal(centr.coord, np.array([VEC_LAT, VEC_LON]).transpose())) self.assertEqual(centr.size, VEC_LON.size) - centr.area_pixel = np.array([1]) - with self.assertRaises(ValueError): - centr.check() - - centr.area_pixel = np.array([]) - centr.dist_coast = np.array([1]) - with self.assertRaises(ValueError): - centr.check() - - centr.dist_coast = np.array([]) - centr.on_land = np.array([1]) - with self.assertRaises(ValueError): - centr.check() - - centr.on_land = np.array([]) - centr.region_id = np.array([1]) - with self.assertRaises(ValueError): - centr.check() - - centr.region_id = np.array([]) - centr.lat = np.array([1]) - with self.assertRaises(ValueError): - centr.check() - - centr.lat = np.array([]) - centr.lon = np.array([1]) - with self.assertRaises(ValueError): - centr.check() - - centr.lon = np.array([]) - centr.geometry = gpd.GeoSeries(Point(0,0)) - with self.assertRaises(ValueError) as raised: - centr.check() - self.assertEqual(str(raised.exception), 'Wrong geometry size: 0 != 1.') - - meta = { - 'width': 10, - 'height': 20, - 'transform': rasterio.Affine(0.1, 0, 0, 0, 0.1, 0), - 'crs': DEF_CRS, - } - cen = Centroids(meta=meta) - with self.assertRaises(ValueError): - cen.check() class TestReader(unittest.TestCase): """Test Centroids setter vector and raster methods""" @@ -680,12 +603,11 @@ class TestCentroidsFuncs(unittest.TestCase): """Test Centroids methods""" def test_select_pass(self): """Test Centroids.select method""" - centr = Centroids.from_lat_lon(VEC_LAT, VEC_LON) - - centr.region_id = np.zeros(VEC_LAT.size) - centr.region_id[[100, 200]] = 10 + region_id = np.zeros(VEC_LAT.size) + region_id[[100, 200]] = 10 + centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, region_id=region_id) - fil_centr = centr.select(10) + fil_centr = centr.select(reg_id=10) self.assertEqual(fil_centr.size, 2) self.assertEqual(fil_centr.lat[0], VEC_LAT[100]) self.assertEqual(fil_centr.lat[1], VEC_LAT[200]) @@ -695,10 +617,10 @@ def test_select_pass(self): def test_select_extent_pass(self): """Test select extent""" - centr = Centroids.from_lat_lon( - np.array([-5, -3, 0, 3, 5]), np.array([-180, -175, -170, 170, 175])) - centr.check() - centr.region_id = np.zeros(len(centr.lat)) + centr = Centroids( + latitude=np.array([-5, -3, 0, 3, 5]), + longitude=np.array([-180, -175, -170, 170, 175]), + region_id=np.zeros(5)) ext_centr = centr.select(extent=[-175, -170, -5, 5]) np.testing.assert_array_equal(ext_centr.lon, np.array([-175, -170])) np.testing.assert_array_equal(ext_centr.lat, np.array([-3, 0])) diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index c4625a1a7d..a51a2f87d1 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -571,7 +571,7 @@ def _centroids_from_nc(file_name): if create_meshgrid: lats, lons = np.array([np.repeat(lats, len(lons)), np.tile(lons, len(lats))]) - cent = Centroids.from_lat_lon(lats, lons) + cent = Centroids(latitude=lats, longitude=lons) cent.set_on_land() return cent diff --git a/climada/hazard/tc_tracks.py b/climada/hazard/tc_tracks.py index ccf959920e..66554bc9f0 100644 --- a/climada/hazard/tc_tracks.py +++ b/climada/hazard/tc_tracks.py @@ -1215,7 +1215,7 @@ def generate_centroids(self, res_deg, buffer_deg): lat = np.arange(bounds[1] + 0.5 * res_deg, bounds[3], res_deg) lon = np.arange(bounds[0] + 0.5 * res_deg, bounds[2], res_deg) lon, lat = [ar.ravel() for ar in np.meshgrid(lon, lat)] - return Centroids.from_lat_lon(lat, lon) + return Centroids(latitude=lat, longitude=lon) def plot(self, axis=None, figsize=(9, 13), legend=True, adapt_fontsize=True, **kwargs): """Track over earth. Historical events are blue, probabilistic black. diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index 3900f8f7b5..91e672446f 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -66,8 +66,8 @@ def dummy_hazard(): "TC", intensity=intensity, fraction=fraction, - centroids=Centroids.from_lat_lon( - np.array([1, 3, 5]), np.array([2, 4, 6])), + centroids=Centroids( + latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), event_id=np.array([1, 2, 3, 4]), event_name=['ev1', 'ev2', 'ev3', 'ev4'], date=np.array([1, 2, 3, 4]), @@ -84,8 +84,11 @@ class TestLoader(unittest.TestCase): def setUp(self): """Test fixure: Build a valid hazard""" - centroids = Centroids.from_lat_lon(np.array([1, 3]), np.array([2, 3])) - centroids.region_id = np.array([1, 2]) + centroids = Centroids( + latitude=np.array([1, 3]), + longitude=np.array([2, 3]), + region_id = np.array([1, 2]) + ) self.hazard = Hazard( "TC", centroids=centroids, @@ -116,12 +119,6 @@ def test_init_empty_fraction(self): np.testing.assert_array_equal(hazard.fraction.shape, hazard.intensity.shape) self.assertEqual(hazard.fraction.nnz, 0) # No nonzero entries - def test_check_wrongCentroids_fail(self): - """Wrong hazard definition""" - self.hazard.centroids.region_id = np.array([1, 2, 3, 4]) - with self.assertRaises(ValueError): - self.hazard.check() - def test_check_wrongFreq_fail(self): """Wrong hazard definition""" self.hazard.frequency = np.array([1, 2]) @@ -251,7 +248,7 @@ def test_same_events_same(self): duplicate events, initial events are obtained with 0 intensity and fraction in new appended centroids.""" haz1 = dummy_hazard() - centroids = Centroids.from_lat_lon(np.array([7, 9, 11]), np.array([8, 10, 12])) + centroids = Centroids(latitude=np.array([7, 9, 11]), longitude=np.array([8, 10, 12])) fraction = sparse.csr_matrix([[0.22, 0.32, 0.44], [0.11, 0.11, 0.11], [0.32, 0.11, 0.99], @@ -526,7 +523,7 @@ def test_select_date_invalid_pass(self): def test_select_reg_id_pass(self): """Test select region of centroids.""" haz = dummy_hazard() - haz.centroids.region_id = np.array([5, 7, 9]) + haz.centroids.gdf['region_id'] = np.array([5, 7, 9]) sel_haz = haz.select(date=(2, 4), orig=False, reg_id=9) self.assertTrue(np.array_equal(sel_haz.centroids.coord.squeeze(), @@ -759,8 +756,8 @@ def test_all_different_extend(self): orig=np.ones((4,)), file_name='file2.mat', description='Description 2', - centroids=Centroids.from_lat_lon( - np.array([7, 9, 11]), np.array([8, 10, 12])), + centroids=Centroids( + latitude=np.array([7, 9, 11]), longitude=np.array([8, 10, 12])), event_id=np.array([5, 6, 7, 8]), event_name=['ev5', 'ev6', 'ev7', 'ev8'], frequency=np.array([0.9, 0.75, 0.75, 0.22]), @@ -816,8 +813,8 @@ def test_same_events_append(self): haz2 = Hazard('TC', file_name='file2.mat', description='Description 2', - centroids=Centroids.from_lat_lon( - np.array([7, 9, 11]), np.array([8, 10, 12])), + centroids=Centroids( + latitude=np.array([7, 9, 11]), longitude=np.array([8, 10, 12])), event_id=haz1.event_id, event_name=haz1.event_name.copy(), frequency=haz1.frequency, @@ -869,8 +866,8 @@ def test_concat_pass(self): haz_1 = Hazard("TC", file_name='file1.mat', description='Description 1', - centroids=Centroids.from_lat_lon( - np.array([1, 3, 5]), np.array([2, 4, 6])), + centroids=Centroids( + latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), event_id=np.array([1]), event_name=['ev1'], date=np.array([1]), @@ -884,8 +881,8 @@ def test_concat_pass(self): haz_2 = Hazard("TC", file_name='file2.mat', description='Description 2', - centroids=Centroids.from_lat_lon( - np.array([1, 3, 5]), np.array([2, 4, 6])), + centroids=Centroids( + latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), event_id=np.array([1]), event_name=['ev2'], date=np.array([2]), @@ -953,7 +950,7 @@ def test_change_centroids(self): """Set new centroids for hazard""" lat, lon = np.array([0, 1]), np.array([0, -1]) on_land = np.array([True, True]) - cent1 = Centroids(lat=lat, lon=lon, on_land=on_land) + cent1 = Centroids(latitude=lat, longitude=lon, on_land=on_land) haz_1 = Hazard('TC', file_name='file1.mat', @@ -971,7 +968,7 @@ def test_change_centroids(self): lat2, lon2 = np.array([0, 1, 3]), np.array([0, -1, 3]) on_land2 = np.array([True, True, False]) - cent2 = Centroids(lat=lat2, lon=lon2, on_land=on_land2) + cent2 = Centroids(latitude=lat2, longitude=lon2, on_land=on_land2) haz_2 = haz_1.change_centroids(cent2) @@ -985,9 +982,9 @@ def test_change_centroids(self): self.assertEqual(haz_2.tag.description, 'Description 1') """Test error for projection""" - lat3, lon3 = np.array([0.5, 3]), np.array([-0.5, 3]) + lat3, lon3 = np.array([0.5, 3, 1]), np.array([-0.5, 3, 1]) on_land3 = np.array([True, True, False]) - cent3 = Centroids(lat=lat3, lon=lon3, on_land=on_land3) + cent3 = Centroids(latitude=lat3, longitude=lon3, on_land=on_land3) with self.assertRaises(ValueError) as cm: haz_1.change_centroids(cent3, threshold=100) @@ -998,7 +995,7 @@ def test_change_centroids_raster(self): """Set new centroids for hazard""" lat, lon = np.array([0, 1]), np.array([0, -1]) on_land = np.array([True, True]) - cent1 = Centroids(lat=lat, lon=lon, on_land=on_land) + cent1 = Centroids(latitude=lat, longitude=lon, on_land=on_land) haz_1 = Hazard('TC', file_name='file1.mat', @@ -1017,8 +1014,6 @@ def test_change_centroids_raster(self): """Test with raster centroids""" cent4 = Centroids.from_pnt_bounds(points_bounds=(-1, 0, 0, 1), res=1) - cent4.lat, cent1.lon = np.array([0, 1]), np.array([0, -1]) - cent4.on_land = np.array([True, True]) haz_4 = haz_1.change_centroids(cent4) @@ -1149,67 +1144,6 @@ def test_hazard_pass(self): self.assertEqual(hazard.tag.description, description) self.assertEqual(hazard.tag.haz_type, 'TC') -class TestReaderMat(unittest.TestCase): - """Test reader functionality of the ExposuresExcel class""" - - def test_hazard_pass(self): - """Read a hazard mat file correctly.""" - # Read demo excel file - hazard = Hazard.from_mat(HAZ_TEST_MAT) - - # Check results - n_events = 14450 - n_centroids = 100 - - self.assertEqual(hazard.units, 'm/s') - - self.assertEqual(hazard.centroids.coord.shape, (n_centroids, 2)) - - self.assertEqual(hazard.event_id.dtype, int) - self.assertEqual(hazard.event_id.shape, (n_events,)) - - self.assertEqual(hazard.frequency.dtype, float) - self.assertEqual(hazard.frequency.shape, (n_events,)) - - self.assertEqual(hazard.frequency_unit, DEF_FREQ_UNIT) - - self.assertEqual(hazard.intensity.dtype, float) - self.assertEqual(hazard.intensity.shape, (n_events, n_centroids)) - self.assertEqual(hazard.intensity[12, 46], 12.071393519949979) - self.assertEqual(hazard.intensity[13676, 49], 17.228323602220616) - - self.assertEqual(hazard.fraction.dtype, float) - self.assertEqual(hazard.fraction.shape, (n_events, n_centroids)) - self.assertEqual(hazard.fraction[8454, 98], 1) - self.assertEqual(hazard.fraction[85, 54], 0) - - self.assertEqual(len(hazard.event_name), n_events) - self.assertEqual(hazard.event_name[124], 125) - - self.assertEqual(len(hazard.date), n_events) - self.assertEqual(dt.datetime.fromordinal(hazard.date[0]).year, 1851) - self.assertEqual(dt.datetime.fromordinal(hazard.date[0]).month, 6) - self.assertEqual(dt.datetime.fromordinal(hazard.date[0]).day, 25) - self.assertEqual(dt.datetime.fromordinal(hazard.date[78]).year, 1852) - self.assertEqual(dt.datetime.fromordinal(hazard.date[78]).month, 9) - self.assertEqual(dt.datetime.fromordinal(hazard.date[78]).day, 22) - self.assertEqual(dt.datetime.fromordinal(hazard.date[-1]).year, 2011) - self.assertEqual(dt.datetime.fromordinal(hazard.date[-1]).month, 11) - self.assertEqual(dt.datetime.fromordinal(hazard.date[-1]).day, 6) - - self.assertTrue(hazard.orig[0]) - self.assertTrue(hazard.orig[11580]) - self.assertTrue(hazard.orig[4940]) - self.assertFalse(hazard.orig[3551]) - self.assertFalse(hazard.orig[10651]) - self.assertFalse(hazard.orig[4818]) - - # tag hazard - self.assertEqual(hazard.tag.file_name, str(HAZ_TEST_MAT)) - self.assertEqual(hazard.tag.description, - ' TC hazard event set, generated 14-Nov-2017 10:09:05') - self.assertEqual(hazard.tag.haz_type, 'TC') - class TestHDF5(unittest.TestCase): """Test reader functionality of the ExposuresExcel class""" @@ -1250,8 +1184,8 @@ def test_reproject_vector_pass(self): event_name=['1'], intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids.from_lat_lon( - np.array([1, 2, 3]), np.array([1, 2, 3])),) + centroids=Centroids( + latitude=np.array([1, 2, 3]), longitude=np.array([1, 2, 3])),) haz_fl.check() haz_fl.reproject_vector(dst_crs='epsg:2202') @@ -1273,8 +1207,8 @@ def test_vector_to_raster_pass(self): event_name=['1'], intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids.from_lat_lon( - np.array([1, 2, 3]), np.array([1, 2, 3])),) + centroids=Centroids( + latitude=np.array([1, 2, 3]), longitude=np.array([1, 2, 3])),) haz_fl.check() haz_fl.vector_to_raster() From 950a722f32d22a7bd6b83c95efc7b4c1728f3354 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 14:32:35 +0200 Subject: [PATCH 013/192] Remove vector - raster hazard methods --- climada/hazard/base.py | 42 ++------------------------------ climada/hazard/test/test_base.py | 31 ----------------------- 2 files changed, 2 insertions(+), 71 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 9e7d1d411f..9af5957d97 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1160,55 +1160,17 @@ def reproject_raster(self, dst_crs=False, transform=None, width=None, height=Non fraction.reshape(self.size, dst_meta['height'] * dst_meta['width'])) self.check() - def reproject_vector(self, dst_crs, scheduler=None): + def reproject_vector(self, dst_crs): """Change current point data to a a given projection Parameters ---------- dst_crs : crs reproject to given crs - scheduler : str, optional - used for dask map_partitions. “threads”, - “synchronous” or “processes” """ - self.centroids.set_geometry_points(scheduler) - self.centroids.geometry = self.centroids.geometry.to_crs(dst_crs) - self.centroids.lat = self.centroids.geometry[:].y - self.centroids.lon = self.centroids.geometry[:].x + self.centroids.gdf.to_crs(dst_crs, inplace=True) self.check() - def raster_to_vector(self): - """Change current raster to points (center of the pixels)""" - self.centroids.set_meta_to_lat_lon() - self.centroids.meta = dict() - self.check() - - def vector_to_raster(self, scheduler=None): - """Change current point data to a raster with same resolution - - Parameters - ---------- - scheduler : str, optional - used for dask map_partitions. “threads”, - “synchronous” or “processes” - """ - points_df = gpd.GeoDataFrame() - points_df['latitude'] = self.centroids.lat - points_df['longitude'] = self.centroids.lon - val_names = ['val' + str(i_ev) for i_ev in range(2 * self.size)] - for i_ev, inten_name in enumerate(val_names): - if i_ev < self.size: - points_df[inten_name] = np.asarray(self.intensity[i_ev, :].toarray()).reshape(-1) - else: - points_df[inten_name] = np.asarray(self.fraction[i_ev - self.size, :].toarray()). \ - reshape(-1) - raster, meta = u_coord.points_to_raster(points_df, val_names, - crs=self.centroids.geometry.crs, - scheduler=scheduler) - self.intensity = sparse.csr_matrix(raster[:self.size, :, :].reshape(self.size, -1)) - self.fraction = sparse.csr_matrix(raster[self.size:, :, :].reshape(self.size, -1)) - self.centroids = Centroids(meta=meta) - self.check() def read_mat(self, *args, **kwargs): """This function is deprecated, use Hazard.from_mat.""" diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index 91e672446f..f0a49b9032 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -1197,37 +1197,6 @@ def test_reproject_vector_pass(self): self.assertTrue(np.allclose(haz_fl.intensity.toarray(), np.array([0.5, 0.2, 0.1]))) self.assertTrue(np.allclose(haz_fl.fraction.toarray(), np.array([0.5, 0.2, 0.1]) / 2)) - def test_vector_to_raster_pass(self): - """Test vector_to_raster""" - haz_fl = Hazard('FL', - event_id=np.array([1]), - date=np.array([1]), - frequency=np.array([1]), - orig=np.array([1]), - event_name=['1'], - intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), - fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids( - latitude=np.array([1, 2, 3]), longitude=np.array([1, 2, 3])),) - haz_fl.check() - - haz_fl.vector_to_raster() - self.assertTrue(u_coord.equal_crs(haz_fl.centroids.meta['crs'], 'epsg:4326')) - self.assertAlmostEqual(haz_fl.centroids.meta['transform'][0], 1.0) - self.assertAlmostEqual(haz_fl.centroids.meta['transform'][1], 0) - self.assertAlmostEqual(haz_fl.centroids.meta['transform'][2], 0.5) - self.assertAlmostEqual(haz_fl.centroids.meta['transform'][3], 0) - self.assertAlmostEqual(haz_fl.centroids.meta['transform'][4], -1.0) - self.assertAlmostEqual(haz_fl.centroids.meta['transform'][5], 3.5) - self.assertEqual(haz_fl.centroids.meta['height'], 3) - self.assertEqual(haz_fl.centroids.meta['width'], 3) - self.assertEqual(haz_fl.centroids.lat.size, 0) - self.assertEqual(haz_fl.centroids.lon.size, 0) - self.assertTrue(haz_fl.intensity.min() >= 0) - self.assertTrue(haz_fl.intensity.max() <= 0.5) - self.assertTrue(haz_fl.fraction.min() >= 0) - self.assertTrue(haz_fl.fraction.max() <= 0.5 / 2) - class TestClear(unittest.TestCase): """Test clear method""" From 923b066e2d2f21e3b49627677a67125894248f80 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 14:32:47 +0200 Subject: [PATCH 014/192] Restore legacy excell reader --- climada/hazard/centroids/centr.py | 28 +++++++++++++++++++++++----- 1 file changed, 23 insertions(+), 5 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 83b394dbd0..cb7be7ca45 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -573,15 +573,17 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids.to_crs(dst_crs, inplace=True) return centroids - +#TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod - def from_excel(cls, file_name, crs): + def from_excel(cls, file_name, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. Parameters ---------- file_name : str absolute or relative file name + var_names : dict, default + name of the variables Raises ------ @@ -592,9 +594,25 @@ def from_excel(cls, file_name, crs): centr : Centroids Centroids with data from the given file """ - df = pd.read_excel(file_name) - centroids = cls(**df.to_dict(orient='list'), crs=crs) - return centroids + if var_names is None: + var_names = DEF_VAR_EXCEL + + try: + dfr = pd.read_excel(file_name, var_names['sheet_name']) + try: + region_id = dfr[var_names['col_name']['region_id']] + except KeyError: + region_id = None + pass + + except KeyError as err: + raise KeyError("Not existing variable: %s" % str(err)) from err + + return cls( + longitude=dfr[var_names['col_name']['lon']], + latitude=dfr[var_names['col_name']['lat']], + region_id=region_id + ) def write_hdf5(self, file_name): """Write data frame and metadata in hdf5 format From abfff600e7768d49eaf3a27f9ea5aeb55ea59007 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 14:33:37 +0200 Subject: [PATCH 015/192] Remove clear method --- climada/hazard/base.py | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 9af5957d97..df1fc1c948 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -266,16 +266,6 @@ def get_default(cls, attribute): 'frequency_unit': DEF_FREQ_UNIT, }.get(attribute) - def clear(self): - """Reinitialize attributes (except the process Pool).""" - for (var_name, var_val) in self.__dict__.items(): - if isinstance(var_val, np.ndarray) and var_val.ndim == 1: - setattr(self, var_name, np.array([], dtype=var_val.dtype)) - elif isinstance(var_val, sparse.csr_matrix): - setattr(self, var_name, sparse.csr_matrix(np.empty((0, 0)))) - elif not isinstance(var_val, Pool): - setattr(self, var_name, self.get_default(var_name) or var_val.__class__()) - def check(self): """Check dimension of attributes. From 8e360e67b84ac8c5331e3b35c27a96ef308d78e7 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 14:34:04 +0200 Subject: [PATCH 016/192] Remove clear test --- climada/hazard/test/test_base.py | 32 -------------------------------- 1 file changed, 32 deletions(-) diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index f0a49b9032..2043399227 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -1198,38 +1198,6 @@ def test_reproject_vector_pass(self): self.assertTrue(np.allclose(haz_fl.fraction.toarray(), np.array([0.5, 0.2, 0.1]) / 2)) -class TestClear(unittest.TestCase): - """Test clear method""" - - def test_clear(self): - """Clear method clears everything""" - haz1 = Hazard.from_excel(HAZ_TEMPLATE_XLS, haz_type='TC') - haz1.units = "m" - haz1.frequency_unit = "1/m" - haz1.foo = np.arange(10) - haz1.clear() - self.assertEqual(list(vars(haz1.tag).values()), ['', '', '']) - self.assertEqual(haz1.units, '') - self.assertEqual(haz1.frequency_unit, DEF_FREQ_UNIT) - self.assertEqual(haz1.centroids.size, 0) - self.assertEqual(len(haz1.event_name), 0) - for attr in vars(haz1).keys(): - if attr not in ['tag', 'units', 'event_name', 'pool', 'frequency_unit']: - self.assertEqual(getattr(haz1, attr).size, 0) - self.assertIsNone(haz1.pool) - - def test_clear_pool(self): - """Clear method should not clear a process pool""" - haz1 = Hazard.from_excel(HAZ_TEMPLATE_XLS, haz_type='TC') - pool = Pool(nodes=2) - haz1.pool = pool - haz1.check() - haz1.clear() - self.assertEqual(haz1.pool, pool) - pool.close() - pool.join() - pool.clear() - def dummy_step_impf(haz): from climada.entity import ImpactFunc intensity = (0, 1, haz.intensity.max()) From 73c43927e85d42ec863e5dabe7167c2742094e94 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 14:43:26 +0200 Subject: [PATCH 017/192] Update read/write centroids in hazard --- climada/hazard/base.py | 8 ++++---- climada/hazard/centroids/centr.py | 4 ++-- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index df1fc1c948..32b375545c 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1774,7 +1774,7 @@ def write_hdf5(self, file_name, todense=False): str_dt = h5py.special_dtype(vlen=str) for (var_name, var_val) in self.__dict__.items(): if var_name == 'centroids': - self.centroids.write_hdf5(hf_data.create_group(var_name)) + pass elif var_name == 'tag': hf_str = hf_data.create_dataset('haz_type', (1,), dtype=str_dt) hf_str[0] = var_val.haz_type @@ -1809,6 +1809,7 @@ def write_hdf5(self, file_name, todense=False): "%s being set to its default value.", var_name, var_val.__class__.__name__, var_name ) + self.centroids.write_hdf5(file_name, mode='a') def read_hdf5(self, *args, **kwargs): """This function is deprecated, use Hazard.from_hdf5.""" @@ -1841,8 +1842,7 @@ def from_hdf5(cls, file_name): if var_name != 'tag' and var_name not in hf_data.keys(): continue if var_name == 'centroids': - hazard_kwargs["centroids"] = Centroids.from_hdf5( - hf_data.get(var_name)) + continue elif var_name == 'tag': hazard_kwargs["haz_type"] = u_hdf5.to_string( hf_data.get('haz_type')[0]) @@ -1868,7 +1868,7 @@ def from_hdf5(cls, file_name): u_hdf5.to_string, np.array(hf_data.get(var_name)).tolist())] else: hazard_kwargs[var_name] = hf_data.get(var_name) - + hazard_kwargs["centroids"] = Centroids.from_hdf5(file_name) # Now create the actual object we want to return! return cls(**hazard_kwargs) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index cb7be7ca45..7e8d4e6f71 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -614,7 +614,7 @@ def from_excel(cls, file_name, var_names=None): region_id=region_id ) - def write_hdf5(self, file_name): + def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format Parameters @@ -623,7 +623,7 @@ def write_hdf5(self, file_name): (path and) file name to write to. """ LOGGER.info('Writing %s', file_name) - store = pd.HDFStore(file_name, mode='w') + store = pd.HDFStore(file_name, mode=mode) pandas_df = pd.DataFrame(self.gdf) for col in pandas_df.columns: if str(pandas_df[col].dtype) == "geometry": From 0dc0abb7338822d166bc3dad9d67096a80494a26 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 17:23:06 +0200 Subject: [PATCH 018/192] Support empty on land or region id --- climada/hazard/centroids/centr.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 7e8d4e6f71..c5008754e8 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -155,11 +155,15 @@ def geometry(self): @property def on_land(self): - return self.gdf['on_land'] + if 'on_land' in self.gdf.columns.values: + return self.gdf['on_land'] + return None @property def region_id(self): - return self.gdf['region_id'] + if 'region_id' in self.gdf.columns.values: + return self.gdf['region_id'] + return None @property def crs(self): From c2f626a219d73a9014b734067120ea7cc50db985 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 17:23:24 +0200 Subject: [PATCH 019/192] Check for empty region id --- climada/hazard/storm_europe.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index a51a2f87d1..0bc38b6088 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -788,7 +788,7 @@ def generate_prob_storms(self, reg_id=528, spatial_shift=4, ssi_args=None, """ # bool vector selecting the targeted centroids if reg_id is not None: - if self.centroids.region_id.size == 0: + if not self.centroids.region_id: self.centroids.set_region_id() if not isinstance(reg_id, list): reg_id = [reg_id] From bdf77d21a0c1165ff85c09cace8d79dd786dfbfb Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 18:10:12 +0200 Subject: [PATCH 020/192] Set region id correctly --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index c5008754e8..55afccb41c 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -320,7 +320,7 @@ def set_region_id(self, scheduler=None): ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting region_id %s points.', str(self.size)) if u_coord.equal_crs(self.crs, 'epsg:4326'): - self.gdf.region_id = u_coord.get_country_code( + self.gdf['region_id'] = u_coord.get_country_code( ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) else: raise NotImplementedError('The region id can only be assigned if the crs is epsg:4326') From cf0128d44d40c01a263840a5674f9245b6a15835 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 18:10:34 +0200 Subject: [PATCH 021/192] Remove scheduler --- climada/hazard/centroids/centr.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 55afccb41c..f54818acdd 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -478,7 +478,7 @@ def plot(self, ax=None, figsize=(9, 13), **kwargs): plt.tight_layout() return ax - def get_area_pixel(self, min_resol=1.0e-8, scheduler=None): + def get_area_pixel(self, min_resol=1.0e-8): """Computes the area per centroid in the CEA projection assuming that the centroids define a regular grid of pixels (area in m*m). @@ -489,8 +489,6 @@ def get_area_pixel(self, min_resol=1.0e-8, scheduler=None): Use this minimum resolution in lat and lon. Is passed to the method climada.util.coordinates.get_resolution. Default: 1.0e-8 - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” See also -------- From 4f40deff08387bdb0c323bb020bf47b8fd66a0da Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 18:10:46 +0200 Subject: [PATCH 022/192] Add docstring --- climada/hazard/centroids/centr.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index f54818acdd..4a2a3bcef6 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -685,7 +685,18 @@ def _ne_crs_geom(self, scheduler=None): return self.gdf.geometry.to_crs(u_coord.NE_CRS) def _meta_to_lat_lon(meta): - """Compute lat and lon of every pixel center from meta raster.""" + """Compute lat and lon of every pixel center from meta raster. + + Parameters + ---------- + meta : _type_ + meta description of raster + + Returns + ------- + (np.ndarray, np.ndarray) + latitudes, longitudes + """ xgrid, ygrid = u_coord.raster_to_meshgrid( meta['transform'], meta['width'], meta['height'] ) From 5f520fb9c96a5eb0552efdf590bd93126768f922 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 18:10:58 +0200 Subject: [PATCH 023/192] Add legacy read hdf5 --- climada/hazard/centroids/centr.py | 47 +++++++++++++++++++++++++++---- 1 file changed, 42 insertions(+), 5 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 4a2a3bcef6..b0d1b641cb 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -25,6 +25,7 @@ from typing import Optional, Dict, Any import warnings +import h5py import cartopy.crs as ccrs import geopandas as gpd import matplotlib.pyplot as plt @@ -659,14 +660,50 @@ def from_hdf5(cls, file_name): if not Path(file_name).is_file(): raise FileNotFoundError(str(file_name)) - with pd.HDFStore(file_name, mode='r') as store: - metadata = store.get_storer('centroids').attrs.metadata - # in previous versions of CLIMADA and/or geopandas, the CRS was stored in '_crs'/'crs' - crs = metadata.get('crs') - gdf = gpd.GeoDataFrame(store['centroids'], crs=crs) + try: + with pd.HDFStore(file_name, mode='r') as store: + metadata = store.get_storer('centroids').attrs.metadata + # in previous versions of CLIMADA and/or geopandas, the CRS was stored in '_crs'/'crs' + crs = metadata.get('crs') + gdf = gpd.GeoDataFrame(store['centroids'], crs=crs) + except TypeError: + with h5py.File(file_name, 'r') as data: + gdf = cls._legacy_from_hdf5(data.get('centroids')) return cls.from_geodataframe(gdf) + @classmethod + def _legacy_from_hdf5(cls, data): + crs = DEF_CRS + if data.get('crs'): + crs = u_coord.to_crs_user_input(data.get('crs')[0]) + if data.get('lat') and data.get('lat').size: + latitude = np.array(data.get('lat')) + longitude = np.array(data.get('lon')) + elif data.get('latitude') and data.get('latitude').size: + latitude = np.array(data.get('latitude')) + longitude = np.array(data.get('longitude')) + else: + centr_meta = data.get('meta') + meta = dict() + meta['crs'] = crs + for key, value in centr_meta.items(): + if key != 'transform': + meta[key] = value[0] + else: + meta[key] = rasterio.Affine(*value) + latitude, longitude = _meta_to_lat_lon(meta) + + extra_values = {} + for centr_name in data.keys(): + if centr_name not in ('crs', 'lat', 'lon', 'meta'): + extra_values[centr_name] = np.array(data.get(centr_name)) + + return gpd.GeoDataFrame( + extra_values, + geometry=gpd.points_from_xy(x=longitude, y=latitude, crs=crs) + ) + def _ne_crs_geom(self, scheduler=None): """Return `geometry` attribute in the CRS of Natural Earth. From 7c24df05d5072fefbbe2a9ac7059a79eea8a397a Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 8 Aug 2023 18:11:09 +0200 Subject: [PATCH 024/192] Replace incorrect dot product --- climada/hazard/storm_europe.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index 0bc38b6088..727cbc227c 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -685,7 +685,7 @@ def calc_ssi(self, method='dawkins', intensity=None, on_land=True, if method == 'dawkins': area_c = area_pixel / 1000 / 1000 * sel_cen for i, inten_i in enumerate(intensity): - ssi_i = area_c * inten_i.power(3).todense().T + ssi_i = inten_i.power(3).dot(area_c) # matrix crossproduct (row x column vector) ssi[i] = ssi_i.item(0) From e4bb789c8877f49bb2ce5d608d260339a340c904 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 11 Aug 2023 15:14:53 +0200 Subject: [PATCH 025/192] Remove meta in assign centroids --- climada/util/coordinates.py | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index f915fd0b3b..6045c8f4c3 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -1121,15 +1121,10 @@ def match_centroids(coord_gdf, centroids, distance='euclidean', # no error is raised and it is assumed that the user set the crs correctly pass - if centroids.meta: - assigned = match_grid_points( - coord_gdf.longitude.values, coord_gdf.latitude.values, - centroids.meta['width'], centroids.meta['height'], - centroids.meta['transform']) - else: - assigned = match_coordinates( - np.stack([coord_gdf.latitude.values, coord_gdf.longitude.values], axis=1), - centroids.coord, distance=distance, threshold=threshold) + assigned = match_coordinates( + np.stack([coord_gdf.latitude.values, coord_gdf.longitude.values], axis=1), + centroids.coord, distance=distance, threshold=threshold + ) return assigned @numba.njit From 3df5a4bd8fb433ee2efa5ff93e0ff7fa24fe44aa Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 11 Aug 2023 15:15:03 +0200 Subject: [PATCH 026/192] Remove matlab test file --- climada/engine/test/test_cost_benefit.py | 28 ++++++++++++------------ 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/climada/engine/test/test_cost_benefit.py b/climada/engine/test/test_cost_benefit.py index a166d41e0b..87bd1deb43 100644 --- a/climada/engine/test/test_cost_benefit.py +++ b/climada/engine/test/test_cost_benefit.py @@ -37,14 +37,14 @@ HAZ_TEST_MAT = get_test_file('atl_prob_no_name') ENT_TEST_MAT = get_test_file('demo_today', file_format='MAT-file') - +HAZ_TEST_TC :Path = get_test_file('test_tc_florida') class TestSteps(unittest.TestCase): """Test intermediate steps""" def test_calc_impact_measures_pass(self): """Test _calc_impact_measures against reference value""" - self.assertTrue(HAZ_TEST_MAT.is_file(), "{} is not a file".format(HAZ_TEST_MAT)) - hazard = Hazard.from_mat(HAZ_TEST_MAT) + self.assertTrue(HAZ_TEST_TC.is_file(), "{} is not a file".format(HAZ_TEST_TC)) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) self.assertTrue(ENT_TEST_MAT.is_file(), "{} is not a file".format(ENT_TEST_MAT)) entity = Entity.from_mat(ENT_TEST_MAT) @@ -230,7 +230,7 @@ def test_cb_one_meas_fut_pass(self): def test_calc_cb_no_change_pass(self): """Test _calc_cost_benefit without present value against reference value""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_mat(ENT_TEST_MAT) entity.measures._data['TC'] = entity.measures._data.pop('XX') for meas in entity.measures.get_measure('TC'): @@ -267,7 +267,7 @@ def test_calc_cb_no_change_pass(self): def test_calc_cb_change_pass(self): """Test _calc_cost_benefit with present value against reference value""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_mat(ENT_TEST_MAT) entity.measures._data['TC'] = entity.measures._data.pop('XX') for meas in entity.measures.get_measure('TC'): @@ -438,7 +438,7 @@ def test_norm_value(self): def test_combine_fut_pass(self): """Test combine_measures with present and future""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -498,7 +498,7 @@ def test_combine_fut_pass(self): def test_combine_current_pass(self): """Test combine_measures with only future""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -538,7 +538,7 @@ def test_combine_current_pass(self): def test_apply_transf_current_pass(self): """Test apply_risk_transfer with only future""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -588,7 +588,7 @@ def test_apply_transf_current_pass(self): def test_apply_transf_cost_fact_pass(self): """Test apply_risk_transfer with only future annd cost factor""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -636,7 +636,7 @@ def test_apply_transf_cost_fact_pass(self): def test_apply_transf_future_pass(self): """Test apply_risk_transfer with present and future""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -692,7 +692,7 @@ def test_apply_transf_future_pass(self): def test_remove_measure(self): """Test remove_measure method""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -720,7 +720,7 @@ class TestCalc(unittest.TestCase): def test_calc_change_pass(self): """Test calc with future change""" # present - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.exposures.gdf.rename(columns={'impf_': 'impf_TC'}, inplace=True) entity.check() @@ -777,7 +777,7 @@ def test_calc_change_pass(self): def test_calc_no_change_pass(self): """Test calc without future change""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_excel(ENT_DEMO_TODAY) entity.check() entity.exposures.ref_year = 2018 @@ -808,7 +808,7 @@ class TestRiskFuncs(unittest.TestCase): def test_impact(self): ent = Entity.from_excel(ENT_DEMO_TODAY) ent.check() - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) impact = ImpactCalc(ent.exposures, ent.impact_funcs, hazard).impact() return impact From 72064461cd2e4f3c6bc5a3cd2fed0f138bd74beb Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 15 Aug 2023 12:11:18 +0200 Subject: [PATCH 027/192] Update set lat/lon --- climada/engine/test/test_forecast.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/climada/engine/test/test_forecast.py b/climada/engine/test/test_forecast.py index 3ca7f06e52..4327c79c0e 100644 --- a/climada/engine/test/test_forecast.py +++ b/climada/engine/test/test_forecast.py @@ -109,14 +109,12 @@ def test_Forecast_plot(self): HAZ_DIR.joinpath('storm_europe_cosmoe_forecast_vmax_testfile.nc'), run_datetime=dt.datetime(2018,1,1), event_date=dt.datetime(2018,1,3)) - haz1.centroids.lat += 0.6 - haz1.centroids.lon -= 1.2 + haz1.centroids.gdf.geometry.translate(-1.2, 0.6) haz2 = StormEurope.from_cosmoe_file( HAZ_DIR.joinpath('storm_europe_cosmoe_forecast_vmax_testfile.nc'), run_datetime=dt.datetime(2018,1,1), event_date=dt.datetime(2018,1,3)) - haz2.centroids.lat += 0.6 - haz2.centroids.lon -= 1.2 + haz2.centroids.gdf.geometry.translate(-1.2, 0.6) #exposure data = {} data['latitude'] = haz1.centroids.lat From d4d5e02fa8fc7835d1aef99ddfe805760b568ea2 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 15 Aug 2023 12:19:41 +0200 Subject: [PATCH 028/192] Update test with init --- climada/entity/exposures/test/test_base.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 9fa2fdd183..bc2118d519 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -132,7 +132,8 @@ def test_assign_raster_pass(self): 'width': 20, 'height': 10, 'transform': rasterio.Affine(1.5, 0.0, -20, 0.0, -1.4, 8) } - haz = Hazard('FL', centroids=Centroids(meta=meta)) + y, x = Centroids._meta_to_lat_lon(meta) + haz = Hazard('FL', centroids=Centroids(x, y)) # explicit points with known results (see `expected_result` for details) exp = Exposures(crs=DEF_CRS) @@ -197,7 +198,7 @@ def test_affected_total_value(self): ) exp = Exposures(gdf, crs=4326) intensity = sp.sparse.csr_matrix(np.array([[0, 0, 1, 10, 2], [-1, 0, 0, 1, 2]])) - cent = Centroids(lat=np.array([1, 2, 3, 4]), lon=np.array([-1, -2, -3, -4])) + cent = Centroids(latitude=np.array([1, 2, 3, 4]), longitude=np.array([-1, -2, -3, -4])) haz = Hazard( haz_type=haz_type, centroids=cent, intensity=intensity, event_id=[1, 2] ) From 178e62450284ae763e029b5c39780bf8eaf9d489 Mon Sep 17 00:00:00 2001 From: climada Date: Fri, 1 Sep 2023 12:35:46 +0000 Subject: [PATCH 029/192] 'Automated update v4.0.0' --- CHANGELOG.md | 29 +++++++++++------------------ climada/_version.py | 2 +- doc/misc/README.md | 8 +++++++- setup.py | 2 +- 4 files changed, 20 insertions(+), 21 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ade22ac4ba..f08796e9fc 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,10 +1,8 @@ # Changelog -## Unreleased +## 4.0.0 -Release date: YYYY-MM-DD - -Code freeze date: YYYY-MM-DD +Release date: 2023-09-01 ### Dependency Updates @@ -63,7 +61,7 @@ Removed: - 'Extra' requirements `doc`, `test`, and `dev` for Python package [#712](https://github.com/CLIMADA-project/climada_python/pull/712) - Added method `Exposures.centroids_total_value` to replace the functionality of `Exposures.affected_total_value`. This method is temporary and deprecated. [#702](https://github.com/CLIMADA-project/climada_python/pull/702) - New method `climada.util.api_client.Client.purge_cache`: utility function to remove outdated files from the local file system to free disk space. - ([#737](https://github.com/CLIMADA-project/climada_python/pull/737)) +([#737](https://github.com/CLIMADA-project/climada_python/pull/737)) - New attribute `climada.hazard.Hazard.haz_type`: used for assigning impacts to hazards. In previous versions this information was stored in the now removed `climada.hazard.tag.Tag` class. [#736](https://github.com/CLIMADA-project/climada_python/pull/736) - New attribute `climada.entity.exposures.Exposures.description`: used for setting the default title in plots from plotting mathods `plot_hexbin` and `plot_scatter`. In previous versions this information was stored in the deprecated `climada.entity.tag.Tag` class. [#756](https://github.com/CLIMADA-project/climada_python/pull/756) - Added advanced examples in unsequa tutorial for coupled input variables and for handling efficiently the loading of multiple large files [#766](https://github.com/CLIMADA-project/climada_python/pull/766) @@ -119,14 +117,14 @@ Removed: - `Centroids.set_raster_from_pix_bounds` [#721](https://github.com/CLIMADA-project/climada_python/pull/721) - `requirements/env_developer.yml` environment specs. Use 'extra' requirements when installing the Python package instead [#712](https://github.com/CLIMADA-project/climada_python/pull/712) - The `climada.entitity.tag.Tag` class, together with `Impact.tag`, `Exposures.tag`, `ImpactFuncSet.tag`, `MeasuresSet.tag`, `Hazard.tag` attributes. - This may break backwards-compatibility with respect to the files written and read by the `Impact` class. - [#736](https://github.com/CLIMADA-project/climada_python/pull/736), - [#743](https://github.com/CLIMADA-project/climada_python/pull/743), - [#753](https://github.com/CLIMADA-project/climada_python/pull/753), - [#754](https://github.com/CLIMADA-project/climada_python/pull/754), - [#756](https://github.com/CLIMADA-project/climada_python/pull/756), - [#767](https://github.com/CLIMADA-project/climada_python/pull/767), - [#779](https://github.com/CLIMADA-project/climada_python/pull/779) +This may break backwards-compatibility with respect to the files written and read by the `Impact` class. +[#736](https://github.com/CLIMADA-project/climada_python/pull/736), +[#743](https://github.com/CLIMADA-project/climada_python/pull/743), +[#753](https://github.com/CLIMADA-project/climada_python/pull/753), +[#754](https://github.com/CLIMADA-project/climada_python/pull/754), +[#756](https://github.com/CLIMADA-project/climada_python/pull/756), +[#767](https://github.com/CLIMADA-project/climada_python/pull/767), +[#779](https://github.com/CLIMADA-project/climada_python/pull/779) - `impact.tot_value` attribute removed from unsequa module [#763](https://github.com/CLIMADA-project/climada_python/pull/763) ## v3.3.2 @@ -155,10 +153,6 @@ Patch-relaese with altered base config file so that the basic installation test Release date: 2023-02-17 -Code freeze date: 2023-02-05 - -### Description - ### Dependency Changes new: @@ -248,4 +242,3 @@ updated: - `climada.enginge.impact.Impact.calc()` and `climada.enginge.impact.Impact.calc_impact_yearset()` [#436](https://github.com/CLIMADA-project/climada_python/pull/436). -### Removed diff --git a/climada/_version.py b/climada/_version.py index 1571c99a75..d6497a814c 100644 --- a/climada/_version.py +++ b/climada/_version.py @@ -1 +1 @@ -__version__ = '3.3.2-dev' +__version__ = '4.0.0' diff --git a/doc/misc/README.md b/doc/misc/README.md index cc314f610d..369cecb583 100644 --- a/doc/misc/README.md +++ b/doc/misc/README.md @@ -15,7 +15,13 @@ This is the Python (3.8+) version of CLIMADA - please see https://github.com/dav ## Getting started -CLIMADA runs on Windows, macOS and Linux. It can be installed from sources or - in case of climada_python - directly with pip. See the [installation guide](https://climada-python.readthedocs.io/en/latest/guide/install.html) for instructions. +CLIMADA runs on Windows, macOS and Linux. +The released versions of the CLIMADA core can be installed directly through Anaconda: +```shell +conda install -c conda-forge climada +``` +It is **highly recommended** to install CLIMADA into a **separate** Anaconda environment. +See the [installation guide](https://climada-python.readthedocs.io/en/latest/guide/install.html) for further information. Follow the [tutorial](https://climada-python.readthedocs.io/en/latest/tutorial/1_main_climada.html) `climada_python-x.y.z/doc/tutorial/1_main_climada.ipynb` in a Jupyter Notebook to see what can be done with CLIMADA and how. diff --git a/setup.py b/setup.py index 875e7756c6..1454840beb 100644 --- a/setup.py +++ b/setup.py @@ -33,7 +33,7 @@ setup( name='climada', - version='3.3.2-dev', + version='4.0.0', description='CLIMADA in Python', From a94d7af197e5194f56671f450d5a0ed8a5b75a42 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 22 Sep 2023 11:25:30 +0200 Subject: [PATCH 030/192] Add note on method --- climada/hazard/centroids/centr.py | 1 + 1 file changed, 1 insertion(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index b0d1b641cb..9fecfb4488 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -326,6 +326,7 @@ def set_region_id(self, scheduler=None): else: raise NotImplementedError('The region id can only be assigned if the crs is epsg:4326') + # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER def get_elevation(self, topo_path): """Return elevation attribute for every pixel or point in meters. From e41191dd72958f893369e921b45d80a65ee2936a Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 27 Sep 2023 13:37:55 +0200 Subject: [PATCH 031/192] changelog: for 4.0.1 --- CHANGELOG.md | 19 +++++++++++++++++-- 1 file changed, 17 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 3807a753ee..dc49a0905b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,13 +1,28 @@ # Changelog -## 4.0.0 +## Unreleased -Release date: 2023-09-01 +Release date: YYYY-MM-DD + +Code freeze date: YYYY-MM-DD ### Description ### Dependency Changes +Added: + +- `matplotlib-base` None → >=3.8 + +Changed: + +- `geopandas` >=0.13 → >=0.14 +- `pandas` >=1.5,<2.0 → >=2.1 + +Removed: + +- `matplotlib` >=3.7 + ### Added ### Changed From e41222210bfb99e92829c0a86f1db2f31355abf5 Mon Sep 17 00:00:00 2001 From: climada Date: Wed, 27 Sep 2023 11:47:33 +0000 Subject: [PATCH 032/192] 'Automated update v4.0.1' --- CHANGELOG.md | 14 ++------------ climada/_version.py | 2 +- setup.py | 2 +- 3 files changed, 4 insertions(+), 14 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index dc49a0905b..5d4d531498 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,12 +1,8 @@ # Changelog -## Unreleased +## 4.0.1 -Release date: YYYY-MM-DD - -Code freeze date: YYYY-MM-DD - -### Description +Release date: 2023-09-27 ### Dependency Changes @@ -23,8 +19,6 @@ Removed: - `matplotlib` >=3.7 -### Added - ### Changed - Rearranged file-system structure: `data` directory moved into `climada` package directory. [#781](https://github.com/CLIMADA-project/climada_python/pull/781) @@ -33,10 +27,6 @@ Removed: - `climada.util.coordinates.get_country_code` bug, occurring with non-standard longitudinal coordinates around the anti-meridian. [#770](https://github.com/CLIMADA-project/climada_python/issues/770) -### Deprecated - -### Removed - ## 4.0.0 Release date: 2023-09-01 diff --git a/climada/_version.py b/climada/_version.py index d6497a814c..1a3bef5327 100644 --- a/climada/_version.py +++ b/climada/_version.py @@ -1 +1 @@ -__version__ = '4.0.0' +__version__ = '4.0.1' diff --git a/setup.py b/setup.py index 7cccbdad96..82dd437c05 100644 --- a/setup.py +++ b/setup.py @@ -33,7 +33,7 @@ setup( name='climada', - version='4.0.1-dev', + version='4.0.1', description='CLIMADA in Python', From cbab08e4e1a933bbba9918145704008e643bd62b Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 28 Sep 2023 13:47:01 +0200 Subject: [PATCH 033/192] Add from_meta class method --- climada/entity/exposures/test/test_base.py | 3 +-- climada/hazard/centroids/centr.py | 20 +++++++++++++++++++- climada/hazard/centroids/test/test_centr.py | 2 +- climada/util/test/test_coordinates.py | 4 ++-- 4 files changed, 23 insertions(+), 6 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 2a0bc41e25..fdc84dccb3 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -131,8 +131,7 @@ def test_assign_raster_pass(self): 'width': 20, 'height': 10, 'transform': rasterio.Affine(1.5, 0.0, -20, 0.0, -1.4, 8) } - y, x = Centroids._meta_to_lat_lon(meta) - haz = Hazard('FL', centroids=Centroids(x, y)) + haz = Hazard('FL', centroids=Centroids.from_meta(meta)) # explicit points with known results (see `expected_result` for details) exp = Exposures(crs=DEF_CRS) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 9fecfb4488..39a203dfa5 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -554,6 +554,24 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, lat, lon = _meta_to_lat_lon(meta) return cls(longitude=lon, latitude=lat, crs=dst_crs) + @classmethod + def from_meta(cls, meta): + """initiate centroids from meta raster definition + + Parameters + ---------- + meta : dict + meta description of raster + + Returns + ------- + Centroid + Centroids initialized for raster described by meta. + """ + crs = meta['crs'] + lat, lon = _meta_to_lat_lon(meta) + return cls(longitude=lon, latitude=lat, crs=crs) + @classmethod def from_vector_file(cls, file_name, dst_crs=None): @@ -727,7 +745,7 @@ def _meta_to_lat_lon(meta): Parameters ---------- - meta : _type_ + meta : dict meta description of raster Returns diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index a120cb6484..53503d80ac 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -41,7 +41,7 @@ class TestCentroidsReader(unittest.TestCase): def test_centroid_pass(self): """Read a centroid excel file correctly.""" - centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS, crs=DEF_CRS) + centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS) n_centroids = 45 self.assertEqual(centroids.coord.shape[0], n_centroids) diff --git a/climada/util/test/test_coordinates.py b/climada/util/test/test_coordinates.py index 46c39456d5..1784e1a586 100644 --- a/climada/util/test/test_coordinates.py +++ b/climada/util/test/test_coordinates.py @@ -526,7 +526,7 @@ def test_match_centroids(self): 'width': 20, 'height': 10, 'transform': rasterio.Affine(1.5, 0.0, -20, 0.0, -1.4, 8) } - centroids = Centroids(meta=meta) + centroids = Centroids.from_meta(meta=meta) df = pd.DataFrame({ 'longitude': np.array([ -20.1, -20.0, -19.8, -19.0, -18.6, -18.4, @@ -613,7 +613,7 @@ def test_match_centroids(self): u_coord.match_centroids(gdf, centroids) self.assertIn('Set hazard and GeoDataFrame to same CRS first!', str(cm.exception)) - + def test_dist_sqr_approx_pass(self): """Test approximate distance helper function.""" lats1 = 45.5 From 5aeb35e64f8fce1173b0e9dc817fcfbe27da0365 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 28 Sep 2023 16:15:53 +0200 Subject: [PATCH 034/192] Update centroids init --- climada/entity/exposures/test/test_base.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index fdc84dccb3..802550ad22 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -60,7 +60,6 @@ def test_assign_pass(self): np_rand = np.random.RandomState(123456789) haz = Hazard.from_raster([HAZ_DEMO_FL], haz_type='FL', window=Window(10, 20, 50, 60)) - haz.raster_to_vector() ncentroids = haz.centroids.size exp = Exposures(crs=haz.centroids.crs) @@ -74,8 +73,8 @@ def test_assign_pass(self): # make sure that it works for both float32 and float64 for test_dtype in [np.float64, np.float32]: - haz.centroids.lat = haz.centroids.lat.astype(test_dtype) - haz.centroids.lon = haz.centroids.lon.astype(test_dtype) + haz.centroids.gdf.lat = haz.centroids.lat.astype(test_dtype) + haz.centroids.gdf.lon = haz.centroids.lon.astype(test_dtype) exp.assign_centroids(haz) self.assertEqual(exp.gdf.shape[0], len(exp.gdf[INDICATOR_CENTR + 'FL'])) np.testing.assert_array_equal(exp.gdf[INDICATOR_CENTR + 'FL'].values, expected_result) @@ -171,6 +170,9 @@ def test_assign_raster_same_pass(self): np.testing.assert_array_equal(exp.gdf[INDICATOR_CENTR + 'FL'].values, np.arange(haz.centroids.size, dtype=int)) +# Test fails because exposures stores the crs in the meta attribute as rasterio object, +# while the centroids stores the crs in the geodataframe, which is not a rasterio object. +# The comparison in assign_centroids then fails. def test_assign_large_hazard_subset_pass(self): """Test assign_centroids with raster hazard""" exp = Exposures.from_raster(HAZ_DEMO_FL, window=Window(10, 20, 50, 60)) @@ -178,7 +180,6 @@ def test_assign_large_hazard_subset_pass(self): exp.gdf.longitude[[0, 1]] = exp.gdf.longitude[[1, 0]] exp.check() haz = Hazard.from_raster([HAZ_DEMO_FL], haz_type='FL') - haz.raster_to_vector() exp.assign_centroids(haz) assigned_centroids = haz.centroids.select(sel_cen=exp.gdf[INDICATOR_CENTR + 'FL'].values) np.testing.assert_array_equal(assigned_centroids.lat, exp.gdf.latitude) From fb374d3ac944d132e8b3771945047facd1faf5e1 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 28 Sep 2023 16:16:13 +0200 Subject: [PATCH 035/192] Update read raster intensity / fraction data --- climada/entity/exposures/base.py | 13 ++--- climada/hazard/base.py | 83 +++++++++++++++++++++++++++---- climada/hazard/centroids/centr.py | 8 +-- 3 files changed, 82 insertions(+), 22 deletions(-) diff --git a/climada/entity/exposures/base.py b/climada/entity/exposures/base.py index 0f12cfc868..5e1f9f1515 100644 --- a/climada/entity/exposures/base.py +++ b/climada/entity/exposures/base.py @@ -498,7 +498,7 @@ def from_raster(cls, file_name, band=1, src_crs=None, window=None, -------- Exposures """ - exp = cls() + meta, value = u_coord.read_raster(file_name, [band], src_crs, window, geometry, dst_crs, transform, width, height, resampling) @@ -507,14 +507,11 @@ def from_raster(cls, file_name, band=1, src_crs=None, window=None, lry = uly + meta['height'] * yres x_grid, y_grid = np.meshgrid(np.arange(ulx + xres / 2, lrx, xres), np.arange(uly + yres / 2, lry, yres)) + return cls( + {'longitude': x_grid.flatten(), 'latitude': y_grid.flatten(), 'value': value.reshape(-1)} + , meta=meta, crs= meta['crs'] + ) - if exp.crs is None: - exp.set_crs() - exp.gdf['longitude'] = x_grid.flatten() - exp.gdf['latitude'] = y_grid.flatten() - exp.gdf['value'] = value.reshape(-1) - exp.meta = meta - return exp def plot_scatter(self, mask=None, ignore_zero=False, pop_name=True, buffer=0.0, extend='neither', axis=None, figsize=(9, 13), diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 28b279af42..62330de474 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -340,14 +340,15 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, if haz_type is not None: hazard_kwargs["haz_type"] = haz_type - centroids = Centroids.from_raster_file( + centroids, meta = Centroids.from_raster_file( files_intensity[0], src_crs=src_crs, window=window, geometry=geometry, dst_crs=dst_crs, - transform=transform, width=width, height=height, resampling=resampling) + transform=transform, width=width, height=height, resampling=resampling, return_meta=True) + if pool: chunksize = max(min(len(files_intensity) // pool.ncpus, 1000), 1) inten_list = pool.map( - centroids.values_from_raster_files, - [[f] for f in files_intensity], + _values_from_raster_files, + [[f] for f in files_intensity], itertools.repeat(meta), itertools.repeat(band), itertools.repeat(src_crs), itertools.repeat(window), itertools.repeat(geometry), itertools.repeat(dst_crs), itertools.repeat(transform), @@ -356,8 +357,8 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, intensity = sparse.vstack(inten_list, format='csr') if files_fraction is not None: fract_list = pool.map( - centroids.values_from_raster_files, - [[f] for f in files_fraction], + _values_from_raster_files, + [[f] for f in files_fraction], itertools.repeat(meta), itertools.repeat(band), itertools.repeat(src_crs), itertools.repeat(window), itertools.repeat(geometry), itertools.repeat(dst_crs), itertools.repeat(transform), @@ -365,13 +366,13 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, itertools.repeat(resampling), chunksize=chunksize) fraction = sparse.vstack(fract_list, format='csr') else: - intensity = centroids.values_from_raster_files( - files_intensity, band=band, src_crs=src_crs, window=window, geometry=geometry, + intensity = _values_from_raster_files( + files_intensity, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, dst_crs=dst_crs, transform=transform, width=width, height=height, resampling=resampling) if files_fraction is not None: - fraction = centroids.values_from_raster_files( - files_fraction, band=band, src_crs=src_crs, window=window, geometry=geometry, + fraction = _values_from_raster_files( + files_fraction, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, dst_crs=dst_crs, transform=transform, width=width, height=height, resampling=resampling) @@ -2491,3 +2492,65 @@ def _get_fraction(self, cent_idx=None): if cent_idx is None: return self.fraction return self.fraction[:, cent_idx] + + +#Function to read intensity/fraction values from raster files +#No a method to allow for parallel computing +def _values_from_raster_files(file_names, meta, band=None, src_crs=None, window=None, + geometry=None, dst_crs=None, transform=None, width=None, + height=None, resampling=Resampling.nearest): + """Read raster of bands and set 0 values to the masked ones. + + Each band is an event. Select region using window or geometry. Reproject input by proving + dst_crs and/or (transform, width, height). + + Parameters + ---------- + file_names : str + path of the file + meta : dict + description of the centroids raster + band : list(int), optional + band number to read. Default: [1] + src_crs : crs, optional + source CRS. Provide it if error without it. + window : rasterio.windows.Window, optional + window to read + geometry : list of shapely.geometry, optional + consider pixels only within these shapes + dst_crs : crs, optional + reproject to given crs + transform : rasterio.Affine + affine transformation to apply + wdith : float + number of lons for transform + height : float + number of lats for transform + resampling : rasterio.warp,.Resampling optional + resampling function used for reprojection to dst_crs + + Raises + ------ + ValueError + + Returns + ------- + inten : scipy.sparse.csr_matrix + Each row is an event. + """ + if band is None: + band = [1] + + values = [] + for file_name in file_names: + tmp_meta, data = u_coord.read_raster( + file_name, band, src_crs, window, geometry, dst_crs, + transform, width, height, resampling) + if (tmp_meta['crs'] != meta['crs'] + or tmp_meta['transform'] != meta['transform'] + or tmp_meta['height'] != meta['height'] + or tmp_meta['width'] != meta['width']): + raise ValueError('Raster data is inconsistent with contained raster.') + values.append(sparse.csr_matrix(data)) + + return sparse.vstack(values, format='csr') diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 39a203dfa5..39599e8d89 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -512,11 +512,10 @@ def get_area_pixel(self, min_resol=1.0e-8): I/O methods ''' - @classmethod def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): + height=None, resampling=Resampling.nearest, return_meta=False): """Create a new Centroids object from a raster file Select region using window or geometry. Reproject input by providing @@ -552,7 +551,9 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, file_name, [1], src_crs, window, geometry, dst_crs, transform, width, height, resampling) lat, lon = _meta_to_lat_lon(meta) - return cls(longitude=lon, latitude=lat, crs=dst_crs) + if return_meta: + return cls(longitude=lon, latitude=lat, crs=meta['crs']), meta + return cls(longitude=lon, latitude=lat, crs=meta['crs']) @classmethod def from_meta(cls, meta): @@ -572,7 +573,6 @@ def from_meta(cls, meta): lat, lon = _meta_to_lat_lon(meta) return cls(longitude=lon, latitude=lat, crs=crs) - @classmethod def from_vector_file(cls, file_name, dst_crs=None): """Create Centroids object from vector file (any format supported by fiona). From 2390c5a12edfdf09ad774f116d851d0694eb3da2 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 29 Sep 2023 11:37:47 +0200 Subject: [PATCH 036/192] undo changelog duplications --- CHANGELOG.md | 19 ++++++------------- 1 file changed, 6 insertions(+), 13 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 263e5aec5b..483fe8bc75 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,23 +1,16 @@ # Changelog -## 4.0.1 - -Release date: 2023-09-27 - -### Dependency Changes - -Added: +## Unreleased -- `matplotlib-base` None → >=3.8 +Release date: YYYY-MM-DD -Changed: +Code freeze date: YYYY-MM-DD -- `geopandas` >=0.13 → >=0.14 -- `pandas` >=1.5,<2.0 → >=2.1 +### Description -Removed: +### Dependency Changes -- `matplotlib` >=3.7 +### Added ### Changed From 315f7d96f043cd4b3c3bc0b81143afb98dad2695 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 13 Oct 2023 11:40:00 +0200 Subject: [PATCH 037/192] Update test for points outside of raster within threshold --- climada/entity/exposures/test/test_base.py | 4 ++-- climada/util/test/test_coordinates.py | 18 +++++++++--------- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 802550ad22..6fe15d3930 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -150,9 +150,9 @@ def test_assign_raster_pass(self): expected_result = [ # constant y-value, varying x-value - -1, 0, 0, 0, 0, 1, + 0, 0, 0, 0, 0, 1, # constant x-value, varying y-value - -1, 0, 0, 20, + 0, 0, 0, 20, # out of bounds: topleft, top, topright, right, bottomright, bottom, bottomleft, left -1, -1, -1, -1, -1, -1, -1, -1, # some explicit points within the raster diff --git a/climada/util/test/test_coordinates.py b/climada/util/test/test_coordinates.py index 1784e1a586..a1eb4ed02c 100644 --- a/climada/util/test/test_coordinates.py +++ b/climada/util/test/test_coordinates.py @@ -547,9 +547,9 @@ def test_match_centroids(self): expected_result = [ # constant y-value, varying x-value - -1, 0, 0, 0, 0, 1, + 0, 0, 0, 0, 0, 1, # constant x-value, varying y-value - -1, 0, 0, 20, + 0, 0, 0, 20, # out of bounds: topleft, top, topright, right, bottomright, bottom, bottomleft, left -1, -1, -1, -1, -1, -1, -1, -1, # some explicit points within the raster @@ -569,11 +569,11 @@ def test_match_centroids(self): coords_to_assign = np.array([(2.1, 3), (0, 0), (0, 2), (0.9, 1.0), (0, -179.9)]) centroids = Centroids( - lat=coords_to_assign[:, 0], - lon=coords_to_assign[:, 1], - geometry = gpd.GeoSeries(crs=DEF_CRS) + latitude=coords_to_assign[:, 0], + longitude=coords_to_assign[:, 1], + crs=DEF_CRS ) - centroids_empty = Centroids() + centroids_empty = Centroids(latitude=np.array([]), longitude=np.array([])) expected_results = [ # test with different thresholds (in km) @@ -604,9 +604,9 @@ def test_match_centroids(self): coords_to_assign = np.array([(2.1, 3), (0, 0), (0, 2), (0.9, 1.0), (0, -179.9)]) centroids = Centroids( - lat=[1100000,1200000], - lon=[2500000,2600000], - geometry = gpd.GeoSeries(crs='EPSG:2056') + latitude=[1100000,1200000], + longitude=[2500000,2600000], + crs='EPSG:2056' ) with self.assertRaises(ValueError) as cm: From 2b1ac74a2763c4a0b7b2ac02089d89c7c9be74dc Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 13 Oct 2023 11:40:30 +0200 Subject: [PATCH 038/192] Docstring and cosmetics --- climada/hazard/centroids/centr.py | 14 ++++++++++++++ climada/hazard/centroids/test/test_centr.py | 2 +- climada/util/coordinates.py | 2 +- 3 files changed, 16 insertions(+), 2 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 39599e8d89..c54363e576 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -214,6 +214,20 @@ def from_geodataframe(cls, gdf): @classmethod def from_exposures(cls, exposures): + """ + Generate centroids form the location of an exposures. + + Parameters + ---------- + exposures : Exposure + exposures from which to take the centroids location + and region_id (if defined) + + Returns + ------- + Centroids + Centroids built from the exposures + """ gdf = exposures.gdf[['geometry', 'region_id']] return cls.from_geodtaframe(gdf) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 53503d80ac..e84ce7bc61 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -27,7 +27,7 @@ from climada import CONFIG from climada.hazard.centroids.centr import Centroids -from climada.util.constants import GLB_CENTROIDS_MAT, HAZ_TEMPLATE_XLS +from climada.util.constants import HAZ_TEMPLATE_XLS import climada.hazard.test as hazard_test from climada.util.constants import DEF_CRS import climada.util.coordinates as u_coord diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index 8a110063ca..172affc381 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -1073,7 +1073,7 @@ def match_coordinates(coords, coords_to_assign, distance="euclidean", def match_centroids(coord_gdf, centroids, distance='euclidean', threshold=NEAREST_NEIGHBOR_THRESHOLD): """Assign to each gdf coordinate point its closest centroids's coordinate. - If disatances > threshold in points' distances, -1 is returned. + If distances > threshold in points' distances, -1 is returned. If centroids are in a raster and coordinate point is outside of it ``-1`` is assigned Parameters From bab8c70238420c38658ae05e2fc735717f8352fd Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 13 Oct 2023 11:42:58 +0200 Subject: [PATCH 039/192] Add to default crs method --- climada/hazard/centroids/centr.py | 36 ++++++++++++++++++++++++++++--- 1 file changed, 33 insertions(+), 3 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index c54363e576..cf3abe2b12 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -203,8 +203,29 @@ def __eq__(self, other): """ return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) + def to_default_crs(self): + """ + Project the current centroids to the default CRS (epsg4326) + Modifies the object in place. + """ + self.gdf.to_crs(DEF_CRS, inplace=True) + @classmethod def from_geodataframe(cls, gdf): + """Initialize centroids from a geodataframe + + Parameters + ---------- + gdf : GeoDataFrame + Input geodataframe with centroids as points + in the geometry column. All other columns are + attached to the centroids geodataframe. + + Returns + ------- + Centroids + Centroids built from the geodataframe. + """ return cls( longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, @@ -338,7 +359,10 @@ def set_region_id(self, scheduler=None): self.gdf['region_id'] = u_coord.get_country_code( ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) else: - raise NotImplementedError('The region id can only be assigned if the crs is epsg:4326') + raise NotImplementedError( + 'The region id can only be assigned if the crs is epsg:4326' + 'Please use .to_default_crs to change to epsg:4326' + ) # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER def get_elevation(self, topo_path): @@ -365,7 +389,10 @@ def get_dist_coast(self, signed=False, precomputed=False, scheduler=None): Used for dask map_partitions. "threads", "synchronous" or "processes" """ if not u_coord.equal_crs(self.crs, 'epsg:4326'): - raise NotImplementedError('The distance to coast can only be assigned if the crs is epsg:4326') + raise NotImplementedError( + 'The distance to coast can only be assigned if the crs is epsg:4326' + 'Please use .to_default_crs to change to epsg:4326' + ) if precomputed: return u_coord.dist_to_coast_nasa( self.lat, self.lon, highres=True, signed=signed) @@ -383,7 +410,10 @@ def set_on_land(self, scheduler=None): used for dask map_partitions. “threads”, “synchronous” or “processes” """ if not u_coord.equal_crs(self.crs, 'epsg:4326'): - raise NotImplementedError('The on land property can only be assigned if the crs is epsg:4326') + raise NotImplementedError( + 'The on land property can only be assigned if the crs is epsg:4326' + 'Please use .to_default_crs to change to epsg:4326' + ) ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) From fe969758cd3cb98ee41688acb9d032900b5d933c Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 13 Oct 2023 11:49:18 +0200 Subject: [PATCH 040/192] Fix legacy from hdf5 for empty extra values --- climada/hazard/centroids/centr.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index cf3abe2b12..1ea1d048ff 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -760,7 +760,9 @@ def _legacy_from_hdf5(cls, data): extra_values = {} for centr_name in data.keys(): if centr_name not in ('crs', 'lat', 'lon', 'meta'): - extra_values[centr_name] = np.array(data.get(centr_name)) + values = np.array(data.get(centr_name)) + if latitude.size != 0 and values.size != 0 : + extra_values[centr_name] = values return gpd.GeoDataFrame( extra_values, From a4cf3ced493ac71a482c58564c169029c0c7246f Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 13 Oct 2023 11:55:29 +0200 Subject: [PATCH 041/192] Update legacy from_hdf5 to exclude 'latitude'/'longitude' from extra --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1ea1d048ff..58c95699e9 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -759,7 +759,7 @@ def _legacy_from_hdf5(cls, data): extra_values = {} for centr_name in data.keys(): - if centr_name not in ('crs', 'lat', 'lon', 'meta'): + if centr_name not in ('crs', 'lat', 'lon', 'meta', 'latitude', 'longitude'): values = np.array(data.get(centr_name)) if latitude.size != 0 and values.size != 0 : extra_values[centr_name] = values From b22677f9751ec46e8950746007dc87ece9ae79ac Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 11:04:23 +0100 Subject: [PATCH 042/192] Update centroids.select to work properly with mask and indices --- climada/entity/exposures/test/test_base.py | 4 ++-- climada/hazard/centroids/centr.py | 17 +++++++++++------ 2 files changed, 13 insertions(+), 8 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 6fe15d3930..5ce6ec3938 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -182,8 +182,8 @@ def test_assign_large_hazard_subset_pass(self): haz = Hazard.from_raster([HAZ_DEMO_FL], haz_type='FL') exp.assign_centroids(haz) assigned_centroids = haz.centroids.select(sel_cen=exp.gdf[INDICATOR_CENTR + 'FL'].values) - np.testing.assert_array_equal(assigned_centroids.lat, exp.gdf.latitude) - np.testing.assert_array_equal(assigned_centroids.lon, exp.gdf.longitude) + np.testing.assert_array_equal(np.unique(assigned_centroids.lat), np.unique(exp.gdf.latitude)) + np.testing.assert_array_equal(np.unique(assigned_centroids.lon), np.unique(exp.gdf.longitude)) def test_affected_total_value(self): haz_type = "RF" diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 58c95699e9..cf57b910c0 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -444,24 +444,30 @@ def select(self, reg_id=None, extent=None, sel_cen=None): [lon_max, 180] + [-180, lon_min] Borders are inclusive. sel_cen : np.array - 1-dim mask, overrides reg_id and extent + 1-dim mask or 1-dim centroids indices, complements reg_id and extent Returns ------- cen : Centroids Sub-selection of this object """ - if sel_cen is None: - sel_cen = self.select_mask(reg_id=reg_id, extent=extent) + if sel_cen.dtype.kind == 'i': #is integer + sel_cen_bool = np.zeros(self.size, dtype=bool) + sel_cen_bool[np.unique(sel_cen)] = True + else: + sel_cen_bool = sel_cen + sel_cen_mask = self.select_mask(sel_cen=sel_cen_bool, reg_id=reg_id, extent=extent) + return Centroids.from_geodataframe(self.gdf[sel_cen_mask]) - return Centroids.from_geodataframe(self.gdf[sel_cen]) - def select_mask(self, reg_id=None, extent=None): + def select_mask(self, sel_cen, reg_id=None, extent=None): """ Make mask of selected centroids Parameters ---------- + sel_cen: np.array(bool) + boolean array mask for centroids reg_id : int region to filter according to region_id values extent : tuple @@ -476,7 +482,6 @@ def select_mask(self, reg_id=None, extent=None): 1d mask of selected centroids """ - sel_cen = np.ones(self.size, dtype=bool) if reg_id is not None: sel_cen &= np.isin(self.region_id, reg_id) if extent is not None: From 1946bca41da219053cdcb6810b4c223278514692 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 16:46:54 +0100 Subject: [PATCH 043/192] Fix forecast translate bug --- climada/engine/test/test_forecast.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/climada/engine/test/test_forecast.py b/climada/engine/test/test_forecast.py index 2986ad3ceb..ef249ae203 100644 --- a/climada/engine/test/test_forecast.py +++ b/climada/engine/test/test_forecast.py @@ -110,12 +110,12 @@ def test_Forecast_plot(self): HAZ_DIR.joinpath('storm_europe_cosmoe_forecast_vmax_testfile.nc'), run_datetime=dt.datetime(2018,1,1), event_date=dt.datetime(2018,1,3)) - haz1.centroids.gdf.geometry.translate(-1.2, 0.6) + haz1.centroids.gdf.geometry = haz1.centroids.gdf.geometry.translate(-1.2, 0.6) haz2 = StormEurope.from_cosmoe_file( HAZ_DIR.joinpath('storm_europe_cosmoe_forecast_vmax_testfile.nc'), run_datetime=dt.datetime(2018,1,1), event_date=dt.datetime(2018,1,3)) - haz2.centroids.gdf.geometry.translate(-1.2, 0.6) + haz2.centroids.gdf.geometry = haz2.centroids.gdf.geometry.translate(-1.2, 0.6) #exposure data = {} data['latitude'] = haz1.centroids.lat From b2c0c7467f8a91b55ba7ebf9786a851b5e411671 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 17:17:17 +0100 Subject: [PATCH 044/192] Remove _set_centroids --- climada/hazard/base.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index c2313950b9..963a81d084 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1475,7 +1475,6 @@ def plot_rp_intensity(self, return_periods=(25, 50, 100, 250), axis, inten_stats: matplotlib.axes._subplots.AxesSubplot, np.ndarray intenstats is return_periods.size x num_centroids """ - self._set_coords_centroids() inten_stats = self.local_exceedance_inten(np.array(return_periods)) colbar_name = 'Intensity (' + self.units + ')' title = list() @@ -1521,7 +1520,6 @@ def plot_intensity(self, event=None, centr=None, smooth=True, axis=None, adapt_f ------ ValueError """ - self._set_coords_centroids() col_label = f'Intensity ({self.units})' crs_epsg, _ = u_plot.get_transformation(self.centroids.geometry.crs) if event is not None: @@ -1571,7 +1569,6 @@ def plot_fraction(self, event=None, centr=None, smooth=True, axis=None, ------ ValueError """ - self._set_coords_centroids() col_label = 'Fraction' if event is not None: if isinstance(event, str): @@ -1863,11 +1860,6 @@ def from_hdf5(cls, file_name): # Now create the actual object we want to return! return cls(**hazard_kwargs) - def _set_coords_centroids(self): - """If centroids are raster, set lat and lon coordinates""" - if self.centroids.meta and not self.centroids.coord.size: - self.centroids.set_meta_to_lat_lon() - def _events_set(self): """Generate set of tuples with (event_name, event_date)""" ev_set = set() From 6226bff8633f239adfd1ae76a35e24d1e000b24d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 17:46:30 +0100 Subject: [PATCH 045/192] Remove reproject raster --- climada/hazard/base.py | 65 ------------------------------------------ 1 file changed, 65 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 963a81d084..62fbc3c482 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1081,71 +1081,6 @@ def _attrs_to_kwargs(attrs: Dict[str, Any], num_events: int) -> Dict[str, Any]: return kwargs - def reproject_raster(self, dst_crs=False, transform=None, width=None, height=None, - resampl_inten=Resampling.nearest, resampl_fract=Resampling.nearest): - """Change current raster data to other CRS and/or transformation - - Parameters - ---------- - dst_crs: crs, optional - reproject to given crs - transform: rasterio.Affine - affine transformation to apply - wdith: float - number of lons for transform - height: float - number of lats for transform - resampl_inten: rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs for intensity - resampl_fract: rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs for fraction - """ - if not self.centroids.meta: - raise ValueError('Raster not set') - if not dst_crs: - dst_crs = self.centroids.meta['crs'] - if transform and not width or transform and not height: - raise ValueError('Provide width and height to given transformation.') - if not transform: - transform, width, height = calculate_default_transform( - self.centroids.meta['crs'], dst_crs, self.centroids.meta['width'], - self.centroids.meta['height'], self.centroids.meta['transform'][2], - (self.centroids.meta['transform'][5] - + self.centroids.meta['height'] * self.centroids.meta['transform'][4]), - (self.centroids.meta['transform'][2] - + self.centroids.meta['width'] * self.centroids.meta['transform'][0]), - self.centroids.meta['transform'][5]) - dst_meta = self.centroids.meta.copy() - dst_meta.update({'crs': dst_crs, 'transform': transform, - 'width': width, 'height': height - }) - intensity = np.zeros((self.size, dst_meta['height'], dst_meta['width'])) - fraction = np.zeros((self.size, dst_meta['height'], dst_meta['width'])) - kwargs = {'src_transform': self.centroids.meta['transform'], - 'src_crs': self.centroids.meta['crs'], - 'dst_transform': transform, 'dst_crs': dst_crs, - 'resampling': resampl_inten} - for idx_ev, inten in enumerate(self.intensity.toarray()): - reproject( - source=np.asarray(inten.reshape((self.centroids.meta['height'], - self.centroids.meta['width']))), - destination=intensity[idx_ev, :, :], - **kwargs) - kwargs.update(resampling=resampl_fract) - for idx_ev, fract in enumerate(self.fraction.toarray()): - reproject( - source=np.asarray( - fract.reshape((self.centroids.meta['height'], - self.centroids.meta['width']))), - destination=fraction[idx_ev, :, :], - **kwargs) - self.centroids.meta = dst_meta - self.intensity = sparse.csr_matrix( - intensity.reshape(self.size, dst_meta['height'] * dst_meta['width'])) - self.fraction = sparse.csr_matrix( - fraction.reshape(self.size, dst_meta['height'] * dst_meta['width'])) - self.check() - def reproject_vector(self, dst_crs): """Change current point data to a a given projection From dc8d638a2762305bcfc2d910afdcd25d44d86acb Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 17:46:53 +0100 Subject: [PATCH 046/192] Remove test hazard raster --- climada/test/test_hazard.py | 48 +------------------------------------ 1 file changed, 1 insertion(+), 47 deletions(-) diff --git a/climada/test/test_hazard.py b/climada/test/test_hazard.py index d82ab1da37..c257831a29 100644 --- a/climada/test/test_hazard.py +++ b/climada/test/test_hazard.py @@ -308,62 +308,16 @@ def test_write_read_pass(self): ) self.assertIsInstance(haz_read.fraction, sparse.csr_matrix) - def test_raster_to_vector_pass(self): + def test_read_raster_pass(self): """Test raster_to_vector method""" haz_fl = Hazard.from_raster([HAZ_DEMO_FL], haz_type="FL") - haz_fl.check() - meta_orig = haz_fl.centroids.meta inten_orig = haz_fl.intensity fract_orig = haz_fl.fraction - haz_fl.raster_to_vector() - - self.assertEqual(haz_fl.centroids.meta, dict()) - self.assertAlmostEqual( - haz_fl.centroids.lat.min(), - meta_orig["transform"][5] - + meta_orig["height"] * meta_orig["transform"][4] - - meta_orig["transform"][4] / 2, - ) - self.assertAlmostEqual( - haz_fl.centroids.lat.max(), - meta_orig["transform"][5] + meta_orig["transform"][4] / 2, - ) - self.assertAlmostEqual( - haz_fl.centroids.lon.max(), - meta_orig["transform"][2] - + meta_orig["width"] * meta_orig["transform"][0] - - meta_orig["transform"][0] / 2, - ) - self.assertAlmostEqual( - haz_fl.centroids.lon.min(), - meta_orig["transform"][2] + meta_orig["transform"][0] / 2, - ) - self.assertTrue(u_coord.equal_crs(haz_fl.centroids.crs, meta_orig["crs"])) self.assertTrue(np.allclose(haz_fl.intensity.data, inten_orig.data)) self.assertTrue(np.allclose(haz_fl.fraction.data, fract_orig.data)) - def test_reproject_raster_pass(self): - """Test reproject_raster reference.""" - - haz_fl = Hazard.from_raster([HAZ_DEMO_FL]) - haz_fl.check() - - haz_fl.reproject_raster(dst_crs="epsg:2202") - - self.assertEqual(haz_fl.intensity.shape, (1, 1046408)) - self.assertIsInstance(haz_fl.intensity, sparse.csr_matrix) - self.assertIsInstance(haz_fl.fraction, sparse.csr_matrix) - self.assertEqual(haz_fl.fraction.shape, (1, 1046408)) - self.assertTrue(u_coord.equal_crs(haz_fl.centroids.meta["crs"], "epsg:2202")) - self.assertEqual(haz_fl.centroids.meta["width"], 968) - self.assertEqual(haz_fl.centroids.meta["height"], 1081) - self.assertEqual(haz_fl.fraction.min(), 0) - self.assertEqual(haz_fl.fraction.max(), 1) - self.assertEqual(haz_fl.intensity.min(), -9999) - self.assertTrue(haz_fl.intensity.max() < 4.7) - # Execute Tests if __name__ == "__main__": From 7002a52417ad6177d3c18c969aac57bd7e234980 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 17:51:15 +0100 Subject: [PATCH 047/192] Update naming for plot fraction centroids --- climada/hazard/base.py | 33 +++++++++++++++------------------ climada/test/test_plot.py | 26 +++++++------------------- 2 files changed, 22 insertions(+), 37 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 62fbc3c482..963cbe2887 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1664,22 +1664,19 @@ def write_raster(self, file_name, intensity=True): variable = self.intensity if not intensity: variable = self.fraction - if self.centroids.meta: - u_coord.write_raster(file_name, variable.toarray(), self.centroids.meta) - else: - pixel_geom = self.centroids.calc_pixels_polygons() - profile = self.centroids.meta - profile.update(driver='GTiff', dtype=rasterio.float32, count=self.size) - with rasterio.open(file_name, 'w', **profile) as dst: - LOGGER.info('Writing %s', file_name) - for i_ev in range(variable.shape[0]): - raster = rasterize( - [(x, val) for (x, val) in - zip(pixel_geom, np.array(variable[i_ev, :].toarray()).reshape(-1))], - out_shape=(profile['height'], profile['width']), - transform=profile['transform'], fill=0, - all_touched=True, dtype=profile['dtype'], ) - dst.write(raster.astype(profile['dtype']), i_ev + 1) + pixel_geom = self.centroids.calc_pixels_polygons() + profile = self.centroids.meta + profile.update(driver='GTiff', dtype=rasterio.float32, count=self.size) + with rasterio.open(file_name, 'w', **profile) as dst: + LOGGER.info('Writing %s', file_name) + for i_ev in range(variable.shape[0]): + raster = rasterize( + [(x, val) for (x, val) in + zip(pixel_geom, np.array(variable[i_ev, :].toarray()).reshape(-1))], + out_shape=(profile['height'], profile['width']), + transform=profile['transform'], fill=0, + all_touched=True, dtype=profile['dtype'], ) + dst.write(raster.astype(profile['dtype']), i_ev + 1) def write_hdf5(self, file_name, todense=False): """Write hazard in hdf5 format. @@ -1892,7 +1889,7 @@ def _centr_plot(self, centr_idx, mat_var, col_name, axis=None, **kwargs): except IndexError as err: raise ValueError(f'Wrong centroid id: {centr_idx}.') from err array_val = mat_var[:, centr_pos].toarray() - title = f'Centroid {centr_idx}: ({coord[centr_pos, 0]}, {coord[centr_pos, 1]})' + title = f'Centroid {centr_idx}: ({np.around(coord[centr_pos, 0],3)}, {np.around(coord[centr_pos, 1],3)})' elif centr_idx < 0: max_inten = np.asarray(np.sum(mat_var, axis=0)).reshape(-1) centr_pos = np.argpartition(max_inten, centr_idx)[centr_idx:] @@ -1900,7 +1897,7 @@ def _centr_plot(self, centr_idx, mat_var, col_name, axis=None, **kwargs): array_val = mat_var[:, centr_pos].toarray() title = (f'{np.abs(centr_idx)}-largest Centroid. {centr_pos}:' - f' ({coord[centr_pos, 0]}, {coord[centr_pos, 1]})') + f' ({np.around(coord[centr_pos, 0], 3)}, {np.around(coord[centr_pos, 1], 3)})') else: array_val = np.max(mat_var, axis=1).toarray() title = f'{self.haz_type} max intensity at each event' diff --git a/climada/test/test_plot.py b/climada/test/test_plot.py index 888a696ab2..8ec9732293 100644 --- a/climada/test/test_plot.py +++ b/climada/test/test_plot.py @@ -81,34 +81,22 @@ def test_hazard_intensity_pass(self): def test_hazard_fraction_pass(self): """Generate all possible plots of the hazard fraction.""" - hazard = Hazard.from_mat(HAZ_DEMO_MAT) + hazard = Hazard.from_raster([HAZ_DEMO_FL, HAZ_DEMO_FL]) hazard.event_name = [""] * hazard.event_id.size - hazard.event_name[35] = "NNN_1185106_gen5" - hazard.event_name[11897] = "GORDON_gen7" - myax = hazard.plot_fraction(event=36) - self.assertIn('Event ID 36: NNN_1185106_gen5', myax.get_title()) - - myax = hazard.plot_fraction(event=-1) - self.assertIn('1-largest Event. ID 11898: GORDON_gen7', myax.get_title()) + hazard.event_name[0] = "NNN_1185106_gen5" + myax = hazard.plot_fraction(event=1) + self.assertIn('Event ID 1: NNN_1185106_gen5', myax.get_title()) - myax = hazard.plot_fraction(centr=59) - self.assertIn('Centroid 59: (30.0, -79.0)', myax.get_title()) - - myax = hazard.plot_fraction(centr=-1) - self.assertIn('1-largest Centroid. 79: (30.0, -77.0)', myax.get_title()) + myax = hazard.plot_fraction(centr=1) + self.assertIn('Centroid 1: (10.424, -69.324)', myax.get_title()) def test_hazard_rp_intensity(self): """"Plot exceedance intensity maps for different return periods""" - hazard = Hazard.from_mat(HAZ_DEMO_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) (axis1, axis2), _ = hazard.plot_rp_intensity([25, 50]) self.assertEqual('Return period: 25 years', axis1.get_title()) self.assertEqual('Return period: 50 years', axis2.get_title()) - def test_hazard_centroids(self): - """Plot centroids scatter points over earth.""" - centroids = Centroids.from_base_grid() - centroids.plot() - def test_exposures_value_pass(self): """Plot exposures values.""" myexp = pd.read_excel(ENT_DEMO_TODAY) From 73ee79e476d791790cd51c221a9e2909b9a9dd43 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 21 Nov 2023 17:51:40 +0100 Subject: [PATCH 048/192] Replace HAZ_DEMO_MAT with HAZ_TEST_TC --- climada/entity/measures/test/test_base.py | 20 ++++++++++++-------- climada/hazard/test/test_base.py | 4 ---- climada/test/test_calibration.py | 13 +++++++++---- climada/test/test_plot.py | 15 ++++++++++++--- 4 files changed, 33 insertions(+), 19 deletions(-) diff --git a/climada/entity/measures/test/test_base.py b/climada/entity/measures/test/test_base.py index a232a07348..688a27f6ee 100644 --- a/climada/entity/measures/test/test_base.py +++ b/climada/entity/measures/test/test_base.py @@ -34,12 +34,16 @@ from climada.entity.measures.base import Measure, IMPF_ID_FACT from climada.util.constants import EXP_DEMO_H5, HAZ_DEMO_H5 import climada.util.coordinates as u_coord -import climada.hazard.test as hazard_test +from climada.test import get_test_file import climada.entity.exposures.test as exposures_test DATA_DIR = CONFIG.measures.test_data.dir() -HAZ_TEST_MAT = Path(hazard_test.__file__).parent / 'data' / 'atl_prob_no_name.mat' +HAZ_TEST_TC :Path = get_test_file('test_tc_florida') +""" +Hazard test file from Data API: Hurricanes from 1851 to 2011 over Florida with 100 centroids. +Fraction is empty. Format: HDF5. +""" ENT_TEST_MAT = Path(exposures_test.__file__).parent / 'data' / 'demo_today.mat' class TestApply(unittest.TestCase): @@ -78,7 +82,7 @@ def test_cutoff_hazard_pass(self): meas = MeasureSet.from_mat(ENT_TEST_MAT) act_1 = meas.get_measure(name='Seawall')[0] - haz = Hazard.from_mat(HAZ_TEST_MAT) + haz = Hazard.from_hdf5(HAZ_TEST_TC) exp = Exposures.from_mat(ENT_TEST_MAT) exp.gdf.rename(columns={'impf': 'impf_TC'}, inplace=True) exp.check() @@ -112,7 +116,7 @@ def test_cutoff_hazard_region_pass(self): act_1 = meas.get_measure(name='Seawall')[0] act_1.exp_region_id = [1] - haz = Hazard.from_mat(HAZ_TEST_MAT) + haz = Hazard.from_hdf5(HAZ_TEST_TC) exp = Exposures.from_mat(ENT_TEST_MAT) exp.gdf['region_id'] = np.zeros(exp.gdf.shape[0]) exp.gdf.region_id.values[10:] = 1 @@ -246,7 +250,7 @@ def test_filter_exposures_pass(self): imp_set = ImpactFuncSet.from_mat(ENT_TEST_MAT) - haz = Hazard.from_mat(HAZ_TEST_MAT) + haz = Hazard.from_hdf5(HAZ_TEST_TC) exp.assign_centroids(haz) new_exp = copy.deepcopy(exp) @@ -329,7 +333,7 @@ def test_filter_exposures_pass(self): def test_apply_ref_pass(self): """Test apply method: apply all measures but insurance""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_mat(ENT_TEST_MAT) entity.measures._data['TC'] = entity.measures._data.pop('XX') @@ -365,7 +369,7 @@ def test_apply_ref_pass(self): def test_calc_impact_pass(self): """Test calc_impact method: apply all measures but insurance""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_mat(ENT_TEST_MAT) entity.exposures.gdf.rename(columns={'impf': 'impf_TC'}, inplace=True) @@ -399,7 +403,7 @@ def test_calc_impact_pass(self): def test_calc_impact_transf_pass(self): """Test calc_impact method: apply all measures and insurance""" - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) entity = Entity.from_mat(ENT_TEST_MAT) entity.exposures.gdf.rename(columns={'impf': 'impf_TC'}, inplace=True) diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index 31464e353a..a7d3f67f1a 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -41,10 +41,6 @@ """ Directory for writing (and subsequent reading) of temporary files created during tests. """ -HAZ_TEST_MAT :Path = Path(hazard_test.__file__).parent.joinpath('data', 'atl_prob_no_name.mat') -""" -Hazard test file from Git repository. Fraction is 1. Format: matlab. -""" HAZ_TEST_TC :Path = get_test_file('test_tc_florida') """ Hazard test file from Data API: Hurricanes from 1851 to 2011 over Florida with 100 centroids. diff --git a/climada/test/test_calibration.py b/climada/test/test_calibration.py index a2b819aaa8..6850d0bbed 100644 --- a/climada/test/test_calibration.py +++ b/climada/test/test_calibration.py @@ -29,8 +29,13 @@ from climada.engine.calibration_opt import calib_instance from climada.util.constants import ENT_DEMO_TODAY import climada.hazard.test as hazard_test +from climada.test import get_test_file -HAZ_TEST_MAT = Path(hazard_test.__file__).parent.joinpath('data', 'atl_prob_no_name.mat') +HAZ_TEST_TC :Path = get_test_file('test_tc_florida') +""" +Hazard test file from Data API: Hurricanes from 1851 to 2011 over Florida with 100 centroids. +Fraction is empty. Format: HDF5. +""" DATA_FOLDER = CONFIG.test_data.dir() @@ -44,7 +49,7 @@ def test_calib_instance(self): ent.check() # Read default hazard file - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) # get impact function from set imp_func = ent.impact_funcs.get_func(hazard.haz_type, @@ -56,10 +61,10 @@ def test_calib_instance(self): # create input frame df_in = pd.DataFrame.from_dict({'v_threshold': [25.7], 'other_param': [2], - 'hazard': [HAZ_TEST_MAT]}) + 'hazard': [HAZ_TEST_TC]}) df_in_yearly = pd.DataFrame.from_dict({'v_threshold': [25.7], 'other_param': [2], - 'hazard': [HAZ_TEST_MAT]}) + 'hazard': [HAZ_TEST_TC]}) # Compute the impact over the whole exposures df_out = calib_instance(hazard, ent.exposures, imp_func, df_in) diff --git a/climada/test/test_plot.py b/climada/test/test_plot.py index 8ec9732293..be5c9d928a 100644 --- a/climada/test/test_plot.py +++ b/climada/test/test_plot.py @@ -26,19 +26,28 @@ import matplotlib.pyplot as plt import pandas as pd import contextily as ctx +from pathlib import Path from climada.engine.unsequa import UncOutput from climada.engine import ImpactCalc, ImpactFreqCurve, CostBenefit from climada.entity import (Entity, ImpactFuncSet, Exposures, DiscRates, ImpfTropCyclone, Measure, MeasureSet) from climada.hazard import Hazard, Centroids -from climada.util.constants import HAZ_DEMO_MAT, ENT_DEMO_TODAY, TEST_UNC_OUTPUT_COSTBEN +from climada.util.constants import ENT_DEMO_TODAY, TEST_UNC_OUTPUT_COSTBEN, HAZ_DEMO_FL from climada.util.api_client import Client +from climada.test import get_test_file apiclient = Client() ds = apiclient.get_dataset_info(name=TEST_UNC_OUTPUT_COSTBEN, status='test_dataset') _target_dir, [test_unc_output_costben] = apiclient.download_dataset(ds) + +HAZ_TEST_TC :Path = get_test_file('test_tc_florida') +""" +Hazard test file from Data API: Hurricanes from 1851 to 2011 over Florida with 100 centroids. +Fraction is empty. Format: HDF5. +""" + class TestPlotter(unittest.TestCase): """Test plot functions.""" @@ -47,7 +56,7 @@ def setUp(self): def test_hazard_intensity_pass(self): """Generate all possible plots of the hazard intensity.""" - hazard = Hazard.from_mat(HAZ_DEMO_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) hazard.event_name = [""] * hazard.event_id.size hazard.event_name[35] = "NNN_1185106_gen5" hazard.event_name[3898] = "NNN_1190604_gen8" @@ -128,7 +137,7 @@ def test_impact_pass(self): """Plot impact exceedence frequency curves.""" myent = Entity.from_excel(ENT_DEMO_TODAY) myent.exposures.check() - myhaz = Hazard.from_mat(HAZ_DEMO_MAT) + myhaz = Hazard.from_hdf5(HAZ_TEST_TC) myhaz.event_name = [""] * myhaz.event_id.size myimp = ImpactCalc(myent.exposures, myent.impact_funcs, myhaz).impact() ifc = myimp.calc_freq_curve() From 0cabeac82f0cc15836006b1ee202b65cbc58cb51 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 22 Nov 2023 12:13:56 +0100 Subject: [PATCH 049/192] Replace mat file with hdf5 test file --- climada/test/test_hazard.py | 25 +++++++++++++++---------- 1 file changed, 15 insertions(+), 10 deletions(-) diff --git a/climada/test/test_hazard.py b/climada/test/test_hazard.py index c257831a29..2007526782 100644 --- a/climada/test/test_hazard.py +++ b/climada/test/test_hazard.py @@ -30,15 +30,18 @@ from climada.hazard.base import Hazard from climada.hazard.centroids import Centroids from climada.hazard.storm_europe import StormEurope -from climada.util.constants import (HAZ_DEMO_FL, WS_DEMO_NC) +from climada.util.constants import (HAZ_DEMO_FL, WS_DEMO_NC, DEF_CRS) from climada.util.api_client import Client from climada.util import coordinates as u_coord -import climada.hazard.test as hazard_test +from climada.test import get_test_file DATA_DIR = CONFIG.test_data.dir() -# Hazard test file from Git repository. Fraction is 1. Format: matlab. -HAZ_TEST_MAT :Path = Path(hazard_test.__file__).parent.joinpath('data', 'atl_prob_no_name.mat') +HAZ_TEST_TC :Path = get_test_file('test_tc_florida') +""" +Hazard test file from Data API: Hurricanes from 1851 to 2011 over Florida with 100 centroids. +Fraction is empty. Format: HDF5. +""" class TestCentroids(unittest.TestCase): """Test centroids functionalities""" @@ -47,7 +50,6 @@ def test_read_write_raster_pass(self): """Test write_raster: Hazard from raster data""" haz_fl = Hazard.from_raster([HAZ_DEMO_FL]) haz_fl.haz_type = 'FL' - haz_fl.check() self.assertEqual(haz_fl.intensity.shape, (1, 1032226)) self.assertEqual(haz_fl.intensity.min(), -9999.0) @@ -59,6 +61,7 @@ def test_read_write_raster_pass(self): haz_fl.haz_type = 'FL' self.assertTrue(np.allclose(haz_fl.intensity.toarray(), haz_read.intensity.toarray())) self.assertEqual(np.unique(np.array(haz_fl.fraction.toarray())).size, 2) + DATA_DIR.joinpath('test_write_hazard.tif').unlink() def test_read_raster_pool_pass(self): """Test from_raster constructor with pool""" @@ -83,8 +86,9 @@ def test_read_write_vector_pass(self): event_name=['1'], intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids.from_lat_lon( - np.array([1, 2, 3]), np.array([1, 2, 3])),) + centroids=Centroids( + latitude=np.array([1, 2, 3]), longitude=np.array([1, 2, 3]), crs=DEF_CRS) + ) haz_fl.check() haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif')) @@ -104,8 +108,9 @@ def test_write_fraction_pass(self): event_name=['1'], intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids.from_lat_lon( - np.array([1, 2, 3]), np.array([1, 2, 3])),) + centroids=Centroids( + latitude=np.array([1, 2, 3]),longitude=np.array([1, 2, 3]), crs=DEF_CRS) + ) haz_fl.check() haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif'), intensity=False) @@ -270,7 +275,7 @@ def test_write_read_pass(self): file_name = str(DATA_DIR.joinpath("test_haz.h5")) # Read demo matlab file - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) hazard.event_name = list(map(str, hazard.event_name)) for todense_flag in [False, True]: if todense_flag: From 3729248ad191795e55c25a7317aeb082dacb68be Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 22 Nov 2023 16:50:07 +0100 Subject: [PATCH 050/192] Rewrite write raster method for hazard --- climada/hazard/base.py | 93 ++++++++++++++++++----- climada/test/test_hazard.py | 147 ++++++++++++++++++++++++++---------- 2 files changed, 179 insertions(+), 61 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 963cbe2887..12c5900394 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1651,32 +1651,85 @@ def size(self): """Return number of events.""" return self.event_id.size - def write_raster(self, file_name, intensity=True): - """Write intensity or fraction as GeoTIFF file. Each band is an event + def write_raster(self, file_name, variable='intensity', output_resolution=None): + """Write intensity or fraction as GeoTIFF file. Each band is an event. + Output raster is always a regular grid (same resolution for lat/lon). + + Note that is output_resolution is not None, the data is rasterized to that + resolution. This is an expensive operation. For hazards that are already + a raster, output_resolution=None saves on this raster which is efficient. + + If you want to save both fraction and intensity, create two separate files. + These can then be read together with the from_raster method. Parameters ---------- file_name: str file name to write in tif format - intensity: bool - if True, write intensity, otherwise write fraction + variable: str + if 'intensity', write intensity, if 'fraction' write fraction. + Default is 'intensity' + output_resolution: int + If not None, the data is rasterized to this resolution. + Default is None (resolution is estimated from the data). + + See also + -------- + from_raster: + method to read intensity and fraction raster files. """ - variable = self.intensity - if not intensity: - variable = self.fraction - pixel_geom = self.centroids.calc_pixels_polygons() - profile = self.centroids.meta - profile.update(driver='GTiff', dtype=rasterio.float32, count=self.size) - with rasterio.open(file_name, 'w', **profile) as dst: - LOGGER.info('Writing %s', file_name) - for i_ev in range(variable.shape[0]): - raster = rasterize( - [(x, val) for (x, val) in - zip(pixel_geom, np.array(variable[i_ev, :].toarray()).reshape(-1))], - out_shape=(profile['height'], profile['width']), - transform=profile['transform'], fill=0, - all_touched=True, dtype=profile['dtype'], ) - dst.write(raster.astype(profile['dtype']), i_ev + 1) + + if variable == 'intensity': + var_to_write = self.intensity + elif variable =='fraction': + var_to_write = self.fraction + else: + raise ValueError( + f"The variable {variable} is not valid. Please use 'intensity' or 'fraction'." + ) + + centroids = self.centroids + + res = np.abs(u_coord.get_resolution(centroids.lat, centroids.lon)).min() + xmin, ymin, xmax, ymax = centroids.gdf.total_bounds + + if output_resolution: + res = output_resolution + + # construct raster + rows, cols, ras_trans = u_coord.pts_to_raster_meta( + (xmin, ymin, xmax, ymax), (res, -res) + ) + meta = { + 'crs': self.centroids.crs, + 'height': rows, + 'width': cols, + 'transform': ras_trans, + } + meta.update(driver='GTiff', dtype=rasterio.float32, count=self.size) + + if rows*cols == centroids.shape[0]: + u_coord.write_raster(file_name, var_to_write.toarray(), meta) + else: + geometry = centroids.gdf.geometry.buffer(distance=res/2, resolution=1, cap_style=3) + #resolution=1, cap_style=3: squared buffers + #https://shapely.readthedocs.io/en/latest/manual.html#object.buffer + with rasterio.open(file_name, 'w', **meta) as dst: + LOGGER.info('Writing %s', file_name) + for i_ev in range(self.size): + raster = rasterio.features.rasterize( + ( + (geom, value) + for geom, value + in zip(geometry, var_to_write[i_ev].toarray().flatten()) + ), + out_shape=(meta['height'], meta['width']), + transform=meta['transform'], + fill=0, + all_touched=True, + dtype=meta['dtype'] + ) + dst.write(raster.astype(meta['dtype']), i_ev + 1) def write_hdf5(self, file_name, todense=False): """Write hazard in hdf5 format. diff --git a/climada/test/test_hazard.py b/climada/test/test_hazard.py index 2007526782..c55dac5d9b 100644 --- a/climada/test/test_hazard.py +++ b/climada/test/test_hazard.py @@ -55,7 +55,7 @@ def test_read_write_raster_pass(self): self.assertEqual(haz_fl.intensity.min(), -9999.0) self.assertAlmostEqual(haz_fl.intensity.max(), 4.662774085998535) - haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif')) + haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif'), variable='intensity') haz_read = Hazard.from_raster([DATA_DIR.joinpath('test_write_hazard.tif')]) haz_fl.haz_type = 'FL' @@ -77,53 +77,118 @@ def test_read_raster_pool_pass(self): pool.join() def test_read_write_vector_pass(self): - """Test write_raster: Hazard from vector data""" - haz_fl = Hazard('FL', - event_id=np.array([1]), - date=np.array([1]), - frequency=np.array([1]), - orig=np.array([1]), - event_name=['1'], - intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), - fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids( - latitude=np.array([1, 2, 3]), longitude=np.array([1, 2, 3]), crs=DEF_CRS) - ) - haz_fl.check() + """Test write_raster: Rasterize intensity from vector data""" + haz_fl = Hazard( + 'FL', + event_id=np.array([1]), + date=np.array([1]), + frequency=np.array([1]), + orig=np.array([1]), + event_name=['1'], + intensity=sparse.csr_matrix(np.array([0.11, 0.22, 0.33, 0.31])), + fraction=sparse.csr_matrix(np.array([0, 1, 2, 3]) ), + centroids=Centroids( + longitude=np.array([1, 2, 3, 3]), latitude=np.array([1, 2, 3, 1]), crs=DEF_CRS + ) + ) - haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif')) + haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif'), variable='intensity') haz_read = Hazard.from_raster([DATA_DIR.joinpath('test_write_hazard.tif')], haz_type='FL') self.assertEqual(haz_read.intensity.shape, (1, 9)) - self.assertTrue(np.allclose(np.unique(np.array(haz_read.intensity.toarray())), - np.array([0.0, 0.1, 0.2, 0.5]))) - - def test_write_fraction_pass(self): - """Test write_raster with fraction""" - haz_fl = Hazard('FL', - event_id=np.array([1]), - date=np.array([1]), - frequency=np.array([1]), - orig=np.array([1]), - event_name=['1'], - intensity=sparse.csr_matrix(np.array([0.5, 0.2, 0.1])), - fraction=sparse.csr_matrix(np.array([0.5, 0.2, 0.1]) / 2), - centroids=Centroids( - latitude=np.array([1, 2, 3]),longitude=np.array([1, 2, 3]), crs=DEF_CRS) - ) - haz_fl.check() - haz_fl.write_raster(DATA_DIR.joinpath('test_write_hazard.tif'), intensity=False) + output_raster = np.array([ + [1, 3], [2, 3], [3, 3], + [1, 2], [2, 2], [3, 2], + [1, 1], [2, 1], [3, 1] + ]) + output_instensity = np.array([ + 0, 0, 0.33, + 0, 0.22, 0, + 0.11, 0, 0.31 + ]) + + np.testing.assert_array_equal( + haz_read.centroids.lon, + output_raster[:, 0] + ) + np.testing.assert_array_equal( + haz_read.centroids.lat, + output_raster[:, 1] + ) + np.testing.assert_array_almost_equal( + haz_read.intensity.toarray().flatten(), + output_instensity + ) - haz_read = Hazard.from_raster([DATA_DIR.joinpath('test_write_hazard.tif')], - files_fraction=[DATA_DIR.joinpath('test_write_hazard.tif')], - haz_type='FL') - self.assertEqual(haz_read.intensity.shape, (1, 9)) + DATA_DIR.joinpath('test_write_hazard.tif').unlink() + + def test_read_write_vector_fraction_pass(self): + """Test write_raster: Rasterize fraction from vector data""" + haz_fl = Hazard( + 'FL', + event_id=np.array([1]), + date=np.array([1]), + frequency=np.array([1]), + orig=np.array([1]), + event_name=['1'], + intensity=sparse.csr_matrix(np.array([-0.11, -0.22, -0.33, -0.31])), + fraction=sparse.csr_matrix(np.array([0.11, 0.22, 0.33, 0.31])), + centroids=Centroids( + longitude=np.array([1, 2, 3, 3]), latitude=np.array([1, 2, 3, 1]), crs=DEF_CRS + ) + ) + + intensity_file = DATA_DIR.joinpath('test_write_hazard_intensity.tif') + fraction_file = DATA_DIR.joinpath('test_write_hazard_fraction.tif') + + haz_fl.write_raster(fraction_file, variable='fraction') + haz_fl.write_raster(intensity_file, variable='intensity') + + haz_read = Hazard.from_raster( + [intensity_file], [fraction_file], haz_type='FL' + ) self.assertEqual(haz_read.fraction.shape, (1, 9)) - self.assertTrue(np.allclose(np.unique(np.array(haz_read.fraction.toarray())), - np.array([0.0, 0.05, 0.1, 0.25]))) - self.assertTrue(np.allclose(np.unique(np.array(haz_read.intensity.toarray())), - np.array([0.0, 0.05, 0.1, 0.25]))) + self.assertEqual(haz_read.intensity.shape, (1, 9)) + + + output_raster = np.array([ + [1, 3], [2, 3], [3, 3], + [1, 2], [2, 2], [3, 2], + [1, 1], [2, 1], [3, 1] + ]) + output_fraction = np.array([ + 0, 0, 0.33, + 0, 0.22, 0, + 0.11, 0, 0.31 + ]) + + output_intensity = np.array([ + 0, 0, -0.33, + 0, -0.22, 0, + -0.11, 0, -0.31 + ]) + + np.testing.assert_array_equal( + haz_read.centroids.lon, + output_raster[:, 0] + ) + np.testing.assert_array_equal( + haz_read.centroids.lat, + output_raster[:, 1] + ) + np.testing.assert_array_almost_equal( + haz_read.fraction.toarray().flatten(), + output_fraction + ) + np.testing.assert_array_almost_equal( + haz_read.intensity.toarray().flatten(), + output_intensity + ) + + DATA_DIR.joinpath(intensity_file).unlink() + DATA_DIR.joinpath(fraction_file).unlink() + class TestStormEurope(unittest.TestCase): From 6c3d1ac3eec52e36750f69e676327b205f66105d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 22 Nov 2023 17:09:14 +0100 Subject: [PATCH 051/192] Add a default for sel_cen in mask --- climada/hazard/centroids/centr.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index cf57b910c0..c6a5633152 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -460,7 +460,7 @@ def select(self, reg_id=None, extent=None, sel_cen=None): return Centroids.from_geodataframe(self.gdf[sel_cen_mask]) - def select_mask(self, sel_cen, reg_id=None, extent=None): + def select_mask(self, sel_cen=None, reg_id=None, extent=None): """ Make mask of selected centroids @@ -482,6 +482,8 @@ def select_mask(self, sel_cen, reg_id=None, extent=None): 1d mask of selected centroids """ + if sel_cen is None: + sel_cen = np.ones(self.size, dtype=bool) if reg_id is not None: sel_cen &= np.isin(self.region_id, reg_id) if extent is not None: From 8b15107395e12cac8203b6c894a71296a9d6d3bb Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 22 Nov 2023 17:34:08 +0100 Subject: [PATCH 052/192] Correct indent typos --- climada/hazard/centroids/test/test_vec_ras.py | 12 ------------ climada/hazard/test/test_base.py | 7 +++---- 2 files changed, 3 insertions(+), 16 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index f1174bac00..a93b7a509e 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -412,18 +412,6 @@ def test_area_pass(self): self.assertTrue( np.allclose(centr_ras.area_pixel, np.ones(60 * 50) * 0.009000000000000341 * 0.009000000000000341)) -''' - def test_area_approx(self): - """Test set_area_approx""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_area_approx() - approx_dim = (centr_ras.meta['transform'][0] * 111 * 1000 - * centr_ras.meta['transform'][0] * 111 * 1000) - self.assertEqual(centr_ras.area_pixel.size, centr_ras.size) - self.assertEqual(np.unique(centr_ras.area_pixel).size, 60) - self.assertTrue(np.array_equal((approx_dim / np.unique(centr_ras.area_pixel)).astype(int), - np.ones(60))) -''' def test_size_pass(self): """Test size property""" diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index a7d3f67f1a..b44d3a5727 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -825,11 +825,10 @@ def test_concat_pass(self): frequency_unit='1/week', fraction=sparse.csr_matrix([[0.02, 0.03, 0.04]]), intensity=sparse.csr_matrix([[0.2, 0.3, 0.4]]), - units='m/s',) + units='m/s') haz_2 = Hazard("TC", - latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), - centroids=Centroids( + centroids=Centroids(latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), event_id=np.array([1]), event_name=['ev2'], date=np.array([2]), @@ -838,7 +837,7 @@ def test_concat_pass(self): frequency_unit='1/week', fraction=sparse.csr_matrix([[1.02, 1.03, 1.04]]), intensity=sparse.csr_matrix([[1.2, 1.3, 1.4]]), - units='m/s',) + units='m/s') haz = Hazard.concat([haz_1, haz_2]) From f3af2ddcfa19ff8bb96167c66f7ba8f83d3c7ac8 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 23 Nov 2023 09:54:45 +0100 Subject: [PATCH 053/192] Change duplicate test function name --- climada/hazard/test/test_trop_cyclone.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/test/test_trop_cyclone.py b/climada/hazard/test/test_trop_cyclone.py index a52fedc5e5..34b1b6bd08 100644 --- a/climada/hazard/test/test_trop_cyclone.py +++ b/climada/hazard/test/test_trop_cyclone.py @@ -467,7 +467,7 @@ def test_apply_criterion_track(self): np.allclose(tc.intensity[2, :].toarray(), tc_cc.intensity[2, :].toarray())) self.assertTrue(np.allclose(tc.frequency, tc_cc.frequency)) - def test_apply_criterion_track(self): + def test_apply_criterion_track2(self): """Test _apply_criterion function.""" criterion = [{'basin': 'NA', 'category': [1, 2, 3, 4, 5], 'year': 2100, 'change': 1.045, 'variable': 'intensity'} From 5888dea6f4acfbcbd6631ce1184b6165a3ce0286 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 23 Nov 2023 09:55:00 +0100 Subject: [PATCH 054/192] Replace mat file with hdf5 --- climada/hazard/test/test_trop_cyclone.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/climada/hazard/test/test_trop_cyclone.py b/climada/hazard/test/test_trop_cyclone.py index 34b1b6bd08..adacc97a9c 100644 --- a/climada/hazard/test/test_trop_cyclone.py +++ b/climada/hazard/test/test_trop_cyclone.py @@ -43,8 +43,7 @@ TEST_TRACK = DATA_DIR.joinpath("trac_brb_test.csv") TEST_TRACK_SHORT = DATA_DIR.joinpath("trac_short_test.csv") -CENTR_TEST_BRB = Centroids.from_mat(DATA_DIR.joinpath('centr_brb_test.mat')) - +CENTR_TEST_BRB = Centroids.from_hdf5(DATA_DIR.joinpath('centr_brb_test.hdf5')) class TestReader(unittest.TestCase): """Test loading funcions from the TropCyclone class""" From e22c857686a0930131ac319a61bfd6b6a3d6cf88 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 23 Nov 2023 10:14:39 +0100 Subject: [PATCH 055/192] Remove unused mat file import --- climada/hazard/centroids/test/test_centr.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index e84ce7bc61..a8de7c55d4 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -33,9 +33,6 @@ import climada.util.coordinates as u_coord -HAZ_TEST_MAT = Path(hazard_test.__file__).parent / 'data' / 'atl_prob_no_name.mat' - - class TestCentroidsReader(unittest.TestCase): """Test read functions Centroids""" From 847736b27a18527057285f4d7f13836157e2129e Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 23 Nov 2023 10:43:39 +0100 Subject: [PATCH 056/192] Add legacy code to read old centroid hdf5 files. --- climada/hazard/centroids/centr.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index c6a5633152..29e42cc881 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -729,7 +729,6 @@ def from_hdf5(cls, file_name): """ if not Path(file_name).is_file(): raise FileNotFoundError(str(file_name)) - try: with pd.HDFStore(file_name, mode='r') as store: metadata = store.get_storer('centroids').attrs.metadata @@ -739,6 +738,9 @@ def from_hdf5(cls, file_name): except TypeError: with h5py.File(file_name, 'r') as data: gdf = cls._legacy_from_hdf5(data.get('centroids')) + except KeyError: + with h5py.File(file_name, 'r') as data: + gdf = cls._legacy_from_hdf5(data) return cls.from_geodataframe(gdf) From 756c587554a34f189cf654bceb55be7a7c4de62d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 23 Nov 2023 10:51:30 +0100 Subject: [PATCH 057/192] Update access to centroids dist coast in gdf --- climada/hazard/trop_cyclone.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index bdd1b98977..8df455a9ef 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -273,9 +273,9 @@ def from_tracks( coastal_idx = (np.abs(centroids.lat) <= max_latitude).nonzero()[0] else: # Select centroids which are inside max_dist_inland_km and lat <= max_latitude - if not centroids.dist_coast.size: - centroids.set_dist_coast() - coastal_idx = ((centroids.dist_coast <= max_dist_inland_km * 1000) + if 'dist_coast' not in centroids.gdf: + centroids.gdf['dist_coast'] = centroids.get_dist_coast() + coastal_idx = ((centroids.gdf.dist_coast.values <= max_dist_inland_km * 1000) & (np.abs(centroids.lat) <= max_latitude)).nonzero()[0] # Filter early with a larger threshold, but inaccurate (lat/lon) distances. From e0150007c3c9c2874f595e7bea85413429169377 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 23 Nov 2023 16:30:00 +0100 Subject: [PATCH 058/192] test_trop_cyclone: get test centroids from data api --- climada/hazard/test/test_trop_cyclone.py | 5 ++++- climada/util/api_client.py | 22 ++++++++++++++++++++++ 2 files changed, 26 insertions(+), 1 deletion(-) diff --git a/climada/hazard/test/test_trop_cyclone.py b/climada/hazard/test/test_trop_cyclone.py index adacc97a9c..72507793d7 100644 --- a/climada/hazard/test/test_trop_cyclone.py +++ b/climada/hazard/test/test_trop_cyclone.py @@ -29,6 +29,7 @@ import xarray as xr from climada.util import ureg +from climada.util.api_client import Client from climada.hazard.tc_tracks import TCTracks from climada.hazard.trop_cyclone import ( TropCyclone, get_close_centroids, _vtrans, _B_holland_1980, _bs_holland_2008, @@ -43,7 +44,9 @@ TEST_TRACK = DATA_DIR.joinpath("trac_brb_test.csv") TEST_TRACK_SHORT = DATA_DIR.joinpath("trac_short_test.csv") -CENTR_TEST_BRB = Centroids.from_hdf5(DATA_DIR.joinpath('centr_brb_test.hdf5')) +CENTR_TEST_BRB = Centroids.from_hdf5( + Client().get_dataset_file(name='centr_test_brb', status='test_dataset')) + class TestReader(unittest.TestCase): """Test loading funcions from the TropCyclone class""" diff --git a/climada/util/api_client.py b/climada/util/api_client.py index 9bdf0537c8..eb1ac17d25 100644 --- a/climada/util/api_client.py +++ b/climada/util/api_client.py @@ -1072,3 +1072,25 @@ def rm_empty_dirs(directory: Path): except OSError: # raised when the directory is not empty pass rm_empty_dirs(target_dir) + + def get_dataset_file(self, **kwargs): + """Convenience method. Combines ``get_dataset`` and ``download_dataset``. + Returns the path to a single file if the dataset has only one, + otherwise throws an error. + + Parameters + ---------- + **kwargs + arguments for get_dataset and download_dataset + + Returns + ------- + Path + """ + download_arguments = { + 'target_dir': kwargs.pop('target_dir', SYSTEM_DIR), + 'organize_path': kwargs.pop('organize_path', True), + } + dsi = self.get_dataset_info(**kwargs) + _, [test_file] = self.download_dataset(dsi, **download_arguments) + return test_file From cfecf10a845b010b953f79bcca689abf0054da0c Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 24 Nov 2023 09:48:16 +0100 Subject: [PATCH 059/192] Add method to estimate meta raster from centroids --- climada/hazard/base.py | 17 +----------- climada/hazard/centroids/centr.py | 46 +++++++++++++++++++++++++++---- 2 files changed, 41 insertions(+), 22 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 12c5900394..d65fa6c500 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1690,22 +1690,7 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): centroids = self.centroids - res = np.abs(u_coord.get_resolution(centroids.lat, centroids.lon)).min() - xmin, ymin, xmax, ymax = centroids.gdf.total_bounds - - if output_resolution: - res = output_resolution - - # construct raster - rows, cols, ras_trans = u_coord.pts_to_raster_meta( - (xmin, ymin, xmax, ymax), (res, -res) - ) - meta = { - 'crs': self.centroids.crs, - 'height': rows, - 'width': cols, - 'transform': ras_trans, - } + meta = centroids.get_meta(self, resolution=output_resolution) meta.update(driver='GTiff', dtype=rasterio.float32, count=self.size) if rows*cols == centroids.shape[0]: diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 29e42cc881..1632b69a41 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -451,11 +451,13 @@ def select(self, reg_id=None, extent=None, sel_cen=None): cen : Centroids Sub-selection of this object """ - if sel_cen.dtype.kind == 'i': #is integer - sel_cen_bool = np.zeros(self.size, dtype=bool) - sel_cen_bool[np.unique(sel_cen)] = True - else: - sel_cen_bool = sel_cen + sel_cen_bool = sel_cen + #if needed, convert indices to bool + if sel_cen is not None: + if sel_cen.dtype.kind == 'i': #is integer + sel_cen_bool = np.zeros(self.size, dtype=bool) + sel_cen_bool[np.unique(sel_cen)] = True + sel_cen_mask = self.select_mask(sel_cen=sel_cen_bool, reg_id=reg_id, extent=extent) return Centroids.from_geodataframe(self.gdf[sel_cen_mask]) @@ -643,7 +645,7 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids = cls.from_geodataframe(gpd.read_file(file_name)) if dst_crs is not None: - centroids.to_crs(dst_crs, inplace=True) + centroids.gdf.geometry.to_crs(dst_crs, inplace=True) return centroids #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @@ -795,6 +797,38 @@ def _ne_crs_geom(self, scheduler=None): return self.gdf.geometry return self.gdf.geometry.to_crs(u_coord.NE_CRS) + def get_meta(self, resolution=None): + """ + Returns a meta raster based on the centroids bounds. + + When resolution is None it is estimated from the centroids + by assuming that they form a regular raster. + + Parameters + ---------- + resolution : int, optional + Resolution of the raster. + By default None (resolution is estimated from centroids) + + Returns + ------- + meta: dict + meta raster representation of the centroids + """ + if resolution is None: + resolution = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() + xmin, ymin, xmax, ymax = self.gdf.total_bounds + rows, cols, ras_trans = u_coord.pts_to_raster_meta( + (xmin, ymin, xmax, ymax), (resolution, -resolution) + ) + meta = { + 'crs': self.crs, + 'height': rows, + 'width': cols, + 'transform': ras_trans, + } + return meta + def _meta_to_lat_lon(meta): """Compute lat and lon of every pixel center from meta raster. From 510f53fc6031b8a815ae6d1a0775fc76e2d1378f Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 24 Nov 2023 16:42:31 +0100 Subject: [PATCH 060/192] Remove unecessary conversion to ne_geom --- climada/hazard/centroids/centr.py | 24 ++++++++---------------- 1 file changed, 8 insertions(+), 16 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1632b69a41..8481abfc60 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -345,7 +345,7 @@ def get_closest_point(self, x_lon, y_lat, scheduler=None): close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() return self.lon[close_idx], self.lat[close_idx], close_idx - def set_region_id(self, scheduler=None): + def set_region_id(self): """Set region_id as country ISO numeric code attribute for every pixel or point. Parameters @@ -353,11 +353,10 @@ def set_region_id(self, scheduler=None): scheduler : str used for dask map_partitions. “threads”, “synchronous” or “processes” """ - ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting region_id %s points.', str(self.size)) if u_coord.equal_crs(self.crs, 'epsg:4326'): self.gdf['region_id'] = u_coord.get_country_code( - ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) + self.lat, self.lon) else: raise NotImplementedError( 'The region id can only be assigned if the crs is epsg:4326' @@ -375,7 +374,7 @@ def get_elevation(self, topo_path): """ return u_coord.read_raster_sample(topo_path, self.lat, self.lon) - def get_dist_coast(self, signed=False, precomputed=False, scheduler=None): + def get_dist_coast(self, signed=False, precomputed=False): """Get dist_coast attribute for every pixel or point in meters. Parameters @@ -385,8 +384,6 @@ def get_dist_coast(self, signed=False, precomputed=False, scheduler=None): precomputed : bool If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 Default: False. - scheduler : str - Used for dask map_partitions. "threads", "synchronous" or "processes" """ if not u_coord.equal_crs(self.crs, 'epsg:4326'): raise NotImplementedError( @@ -397,11 +394,11 @@ def get_dist_coast(self, signed=False, precomputed=False, scheduler=None): return u_coord.dist_to_coast_nasa( self.lat, self.lon, highres=True, signed=signed) else: - ne_geom = self._ne_crs_geom(scheduler) + ne_geom = self._ne_crs_geom() LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) - def set_on_land(self, scheduler=None): + def set_on_land(self,): """Set on_land attribute for every pixel or point. Parameters @@ -415,10 +412,10 @@ def set_on_land(self, scheduler=None): 'Please use .to_default_crs to change to epsg:4326' ) - ne_geom = self._ne_crs_geom(scheduler) LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) self.gdf['on_land'] = u_coord.coord_on_land( - ne_geom.geometry[:].y.values, ne_geom.geometry[:].x.values) + self.lat, self.lon + ) @classmethod def remove_duplicate_points(cls, centroids): @@ -781,14 +778,9 @@ def _legacy_from_hdf5(cls, data): ) - def _ne_crs_geom(self, scheduler=None): + def _ne_crs_geom(self): """Return `geometry` attribute in the CRS of Natural Earth. - Parameters - ---------- - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” - Returns ------- geo : gpd.GeoSeries From e108432a773732e0b64ef28fbbea342262da1b00 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 24 Nov 2023 16:42:44 +0100 Subject: [PATCH 061/192] Add good lat/lon values for unit test --- climada/hazard/centroids/test/test_vec_ras.py | 218 +++++------------- 1 file changed, 55 insertions(+), 163 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index a93b7a509e..a564637222 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -36,193 +36,85 @@ DATA_DIR = CONFIG.hazard.test_data.dir() + +# Note: the coordinates are not directly on the cities, the region id and on land +# otherwise do not work correctly. It is only the closest point. VEC_LON = np.array([ - -59.6250000000000, -59.6250000000000, -59.6250000000000, -59.5416666666667, -59.5416666666667, - -59.4583333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, - -60.2083333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, - -60.2083333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, - -60.2083333333333, -60.1250000000000, -60.1250000000000, -60.1250000000000, -60.1250000000000, - -60.1250000000000, -60.1250000000000, -60.1250000000000, -60.1250000000000, -60.1250000000000, - -60.1250000000000, -60.1250000000000, -60.1250000000000, -60.1250000000000, -60.1250000000000, - -60.1250000000000, -60.1250000000000, -60.0416666666667, -60.0416666666667, -60.0416666666667, - -60.0416666666667, -60.0416666666667, -60.0416666666667, -60.0416666666667, -60.0416666666667, - -60.0416666666667, -60.0416666666667, -60.0416666666667, -60.0416666666667, -60.0416666666667, - -60.0416666666667, -60.0416666666667, -60.0416666666667, -59.9583333333333, -59.9583333333333, - -59.9583333333333, -59.9583333333333, -59.9583333333333, -59.9583333333333, -59.9583333333333, - -59.9583333333333, -59.9583333333333, -59.9583333333333, -59.9583333333333, -59.9583333333333, - -59.9583333333333, -59.9583333333333, -59.9583333333333, -59.9583333333333, -59.8750000000000, - -59.8750000000000, -59.8750000000000, -59.8750000000000, -59.8750000000000, -59.8750000000000, - -59.8750000000000, -59.8750000000000, -59.8750000000000, -59.8750000000000, -59.8750000000000, - -59.8750000000000, -59.8750000000000, -59.8750000000000, -59.8750000000000, -59.8750000000000, - -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, - -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, - -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, - -59.7916666666667, -59.7083333333333, -59.7083333333333, -59.7083333333333, -59.7083333333333, - -59.7083333333333, -59.7083333333333, -59.7083333333333, -59.7083333333333, -59.7083333333333, - -59.7083333333333, -59.7083333333333, -59.7083333333333, -59.7083333333333, -59.7083333333333, - -59.7083333333333, -59.7083333333333, -59.6250000000000, -59.6250000000000, -59.6250000000000, - -59.6250000000000, -59.6250000000000, -59.6250000000000, -59.6250000000000, -59.6250000000000, - -59.6250000000000, -59.6250000000000, -59.6250000000000, -59.6250000000000, -59.6250000000000, - -59.5416666666667, -59.5416666666667, -59.5416666666667, -59.5416666666667, -59.5416666666667, - -59.5416666666667, -59.5416666666667, -59.5416666666667, -59.5416666666667, -59.5416666666667, - -59.5416666666667, -59.5416666666667, -59.5416666666667, -59.5416666666667, -59.4583333333333, - -59.4583333333333, -59.4583333333333, -59.4583333333333, -59.4583333333333, -59.4583333333333, - -59.4583333333333, -59.4583333333333, -59.4583333333333, -59.4583333333333, -59.4583333333333, - -59.4583333333333, -59.4583333333333, -59.4583333333333, -59.4583333333333, -59.3750000000000, - -59.3750000000000, -59.3750000000000, -59.3750000000000, -59.3750000000000, -59.3750000000000, - -59.3750000000000, -59.3750000000000, -59.3750000000000, -59.3750000000000, -59.3750000000000, - -59.3750000000000, -59.3750000000000, -59.3750000000000, -59.3750000000000, -59.3750000000000, - -59.2916666666667, -59.2916666666667, -59.2916666666667, -59.2916666666667, -59.2916666666667, - -59.2916666666667, -59.2916666666667, -59.2916666666667, -59.2916666666667, -59.2916666666667, - -59.2916666666667, -59.2916666666667, -59.2916666666667, -59.2916666666667, -59.2916666666667, - -59.2916666666667, -59.2083333333333, -59.2083333333333, -59.2083333333333, -59.2083333333333, - -59.2083333333333, -59.2083333333333, -59.2083333333333, -59.2083333333333, -59.2083333333333, - -59.2083333333333, -59.2083333333333, -59.2083333333333, -59.2083333333333, -59.2083333333333, - -59.2083333333333, -59.2083333333333, -59.1250000000000, -59.1250000000000, -59.1250000000000, - -59.1250000000000, -59.1250000000000, -59.1250000000000, -59.1250000000000, -59.1250000000000, - -59.1250000000000, -59.1250000000000, -59.1250000000000, -59.1250000000000, -59.1250000000000, - -59.1250000000000, -59.1250000000000, -59.1250000000000, -59.0416666666667, -59.0416666666667, - -59.0416666666667, -59.0416666666667, -59.0416666666667, -59.0416666666667, -59.0416666666667, - -59.0416666666667, -59.0416666666667, -59.0416666666667, -59.0416666666667, -59.0416666666667, - -59.0416666666667, -59.0416666666667, -59.0416666666667, -58.9583333333333, -58.9583333333333, - -58.9583333333333, -58.9583333333333, -58.9583333333333, -58.9583333333333, -58.9583333333333, - -58.9583333333333, -58.9583333333333, -58.9583333333333, -58.9583333333333, -58.9583333333333, - -58.9583333333333, -58.9583333333333, -61.0416666666667, -61.0416666666667, -61.0416666666667, - -61.0416666666667, -61.0416666666667, -61.0416666666667, -61.0416666666667, -60.6250000000000, - -60.6250000000000, -60.6250000000000, -60.6250000000000, -60.6250000000000, -60.6250000000000, - -60.6250000000000, -60.2083333333333, -60.2083333333333, -60.2083333333333, -60.2083333333333, - -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.7916666666667, -59.3750000000000, - -59.3750000000000, -59.3750000000000, -59.3750000000000, -58.9583333333333, -58.9583333333333, - -58.9583333333333, -58.9583333333333, -58.5416666666667, -58.5416666666667, -58.5416666666667, - -58.5416666666667, -58.5416666666667, -58.5416666666667, -58.5416666666667, -58.1250000000000, - -58.1250000000000, -58.1250000000000, -58.1250000000000, -58.1250000000000, -58.1250000000000, - -58.1250000000000, + -175.1883, #Tonga, Nuku'alofa, TON, 776 + 178.433, #Fidji, Suva, FJI, 242 + 18.95, #Norway, Tromso, NOR, 578 + 0, # Ocean, 0 + 166.6778, #Antarctica, McMurdo station, ATA, 010 + -78.5833 #Ecuador, Quito, ECU, 218 ]) VEC_LAT = np.array([ - 13.125, 13.20833333, 13.29166667, 13.125, 13.20833333, 13.125, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, 13.375, - 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, - 12.79166667, 12.875, 12.95833333, 13.04166667, 13.375, 13.45833333, 13.54166667, 13.625, - 13.70833333, 13.79166667, 12.54166667, 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, - 13.04166667, 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, - 12.54166667, 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.20833333, - 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, - 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, - 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, - 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, - 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, - 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, - 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, - 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, - 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 13.79166667, 12.54166667, - 12.625, 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, - 13.29166667, 13.375, 13.45833333, 13.54166667, 13.625, 13.70833333, 12.54166667, 12.625, - 12.70833333, 12.79166667, 12.875, 12.95833333, 13.04166667, 13.125, 13.20833333, 13.29166667, - 13.375, 13.45833333, 13.54166667, 13.625, 11.875, 12.29166667, 12.70833333, 13.125, - 13.54166667, 13.95833333, 14.375, 11.875, 12.29166667, 12.70833333, 13.125, 13.54166667, - 13.95833333, 14.375, 11.875, 12.29166667, 13.95833333, 14.375, 11.875, 12.29166667, - 13.95833333, 14.375, 11.875, 12.29166667, 13.95833333, 14.375, 11.875, 12.29166667, - 13.95833333, 14.375, 11.875, 12.29166667, 12.70833333, 13.125, 13.54166667, 13.95833333, - 14.375, 11.875, 12.29166667, 12.70833333, 13.125, 13.54166667, 13.95833333, 14.375 + -21.1736, #Tonga, Nuku'alofa + -18.133, #Fidji, Suvaå + 69.6833, #Norway, Tromso + 0, #Ocean + -77.85, #Antarctica, McMurdo station + -0.25, #Ecuador, Quito ]) +ON_LAND = np.array([True, True, True, False, True, True]) +REGION_ID = np.array([776, 242, 578, 0, 10, 218]) -def data_vector(): - vec_data = gpd.GeoDataFrame({ - 'geometry': [Point(lon, lat) for lon, lat in zip(VEC_LON, VEC_LAT)], - 'lon': VEC_LON, - 'lat': VEC_LAT - }, crs='epsg:32632') - return vec_data.lat.values, vec_data.lon.values, vec_data.geometry +TEST_CRS = 'EPSG:4326' +ALT_CRS = 'eps:32632' #Europe class TestVector(unittest.TestCase): """Test CentroidsVector class""" - def test_from_lat_lon_pass(self): - """Test from_lat_lon""" - centr = Centroids.from_lat_lon(VEC_LAT, VEC_LON) - self.assertTrue(np.allclose(centr.lat, VEC_LAT)) - self.assertTrue(np.allclose(centr.lon, VEC_LON)) - self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) - self.assertTrue(u_coord.equal_crs(centr.geometry.crs, DEF_CRS)) - self.assertEqual(centr.geometry.size, 0) + def setUp(self): + self.centr = Centroids(latitude=VEC_LAT,longitude=VEC_LON, crs=TEST_CRS) - centr.set_area_pixel() - self.assertEqual(centr.geometry.size, centr.lat.size) + def test_init_pass(self): + """Test from_lat_lon""" + self.assertTrue(np.allclose(self.centr.lat, VEC_LAT)) + self.assertTrue(np.allclose(self.centr.lon, VEC_LON)) + self.assertTrue(u_coord.equal_crs(self.centr.crs, DEF_CRS)) + self.assertTrue(u_coord.equal_crs(self.centr.geometry.crs, DEF_CRS)) def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" - lat, lon, geometry = data_vector() - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - xy_vec = centr._ne_crs_geom() - lon, lat = xy_vec.geometry[:].x.values, xy_vec.geometry[:].y.values - self.assertAlmostEqual(4.51072194, lon[0]) - self.assertAlmostEqual(0.00011838, lat[0]) - self.assertAlmostEqual(4.5107354, lon[-1]) - self.assertAlmostEqual(0.0001297, lat[-1]) + natural_earth_geom = self.centr._ne_crs_geom() + self.assertEqual(natural_earth_geom.crs, u_coord.NE_CRS) def test_dist_coast_pass(self): """Test set_dist_coast""" - lat, lon, geometry = data_vector() - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - centr.geometry.crs = 'epsg:4326' - centr.set_dist_coast() - self.assertAlmostEqual(2594.2070842031694, centr.dist_coast[1]) - self.assertAlmostEqual(166295.87602398323, centr.dist_coast[-2]) + dist_coast = self.centr.get_dist_coast()\ + # Just checking that the output doesnt change over time. + REF_VALUES = np.array([ + 5.55578093e+05, 1.64066475e+03, 2.00703835e+03, + 4.82264614e+02, 4.50037266e+03, 1.08610274e+05 + ]) + np.testing.assert_array_almost_equal(dist_coast, REF_VALUES, decimal=3) def test_region_id_pass(self): """Test set_region_id""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - centr.set_region_id() - self.assertEqual(np.count_nonzero(centr.region_id), 6) - self.assertEqual(centr.region_id[0], 52) # 052 for barbados + self.centr.set_region_id() + np.testing.assert_array_equal( + self.centr.region_id, + REGION_ID + ) def test_on_land(self): """Test set_on_land""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - centr.set_on_land() - centr.set_region_id() - centr.region_id[centr.region_id > 0] = 1 - self.assertTrue(np.array_equal(centr.on_land.astype(int), - centr.region_id)) + self.centr.set_on_land() + np.testing.assert_array_equal( + self.centr.on_land, + ON_LAND + ) def test_remove_duplicate_pass(self): """Test remove_duplicate_points""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - # create duplicates manually: - centr.geometry.values[100] = centr.geometry.values[101] - centr.geometry.values[120] = centr.geometry.values[101] - centr.geometry.values[5] = Point([-59.7, 12.5]) - centr.geometry.values[133] = Point([-59.7, 12.5]) - centr.geometry.values[121] = Point([-59.7, 12.5]) - centr.lon = centr.geometry.apply(lambda pt: pt.x).values - centr.lat = centr.geometry.apply(lambda pt: pt.y).values - self.assertEqual(centr.size, 296) - rem_centr = centr.remove_duplicate_points() - self.assertEqual(centr.size, 296) - self.assertEqual(rem_centr.size, 292) - rem2_centr = rem_centr.remove_duplicate_points() - self.assertEqual(rem_centr.size, 292) - self.assertEqual(rem2_centr.size, 292) + centr = Centroids(latitude = np.hstack([VEC_LAT, VEC_LAT]), + longitude = np.hstack([VEC_LON , VEC_LON]), + crs=TEST_CRS) + self.assertTrue(centr.gdf.shape[0] == 2*self.centr.gdf.shape[0]) + rem_centr = Centroids.remove_duplicate_points(centr) + self.assertTrue(self.centr == rem_centr) def test_area_pass(self): """Test set_area""" @@ -236,7 +128,7 @@ def test_area_pass(self): 'lat': yy.flatten(), }, crs={'proj': 'cea'}) - centr = Centroids.from_lat_lon(vec_data.lat.values, vec_data.lon.values) + centr = Centroids(latitude=vec_data.lat.values, longitude=vec_data.lon.values) centr.geometry = vec_data.geometry centr.set_area_pixel() self.assertTrue(np.allclose(centr.area_pixel, np.ones(centr.size))) @@ -264,7 +156,7 @@ def test_set_lat_lon_to_meta_pass(self): """Test set_lat_lon_to_meta""" lat, lon, geometry = data_vector() geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) + centr = Centroids(latitude=lat, longitude=lon, crs='epsg:4326') centr.set_lat_lon_to_meta() self.assertTrue(u_coord.equal_crs(centr.meta['crs'], 'epsg:4326')) @@ -281,7 +173,7 @@ def test_get_pixel_polygons_pass(self): """Test calc_pixels_polygons""" lat, lon, geometry = data_vector() geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) + centr = Centroids(latitude=lat, longitude=lon, geometry=geometry) poly = centr.calc_pixels_polygons() self.assertIsInstance(poly[0], Polygon) self.assertTrue(np.allclose(poly.centroid[:].y.values, centr.lat)) From 5571755a2f4f9a490bff4f7a114bdb423e9c7344 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 29 Nov 2023 13:44:42 +0100 Subject: [PATCH 062/192] centroids.centr.write_hdf5: eliminate side effect --- climada/hazard/centroids/centr.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 8481abfc60..f7a7938448 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -696,7 +696,8 @@ def write_hdf5(self, file_name, mode='w'): """ LOGGER.info('Writing %s', file_name) store = pd.HDFStore(file_name, mode=mode) - pandas_df = pd.DataFrame(self.gdf) + pandas_df = pd.DataFrame(self.gdf, copy=True) # the default, `copy=False`, alters the + # DataFrame's Block data of `self.gdf`. for col in pandas_df.columns: if str(pandas_df[col].dtype) == "geometry": pandas_df[col] = np.asarray(self.gdf[col]) From baf88a000cca1c7240c1c90ba6c5f32f9a2b54d0 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 29 Nov 2023 14:36:40 +0100 Subject: [PATCH 063/192] centroids.centr.write_hdf5: elimination of side effect futile for pandas>=2.1 --- climada/hazard/centroids/centr.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index f7a7938448..8481abfc60 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -696,8 +696,7 @@ def write_hdf5(self, file_name, mode='w'): """ LOGGER.info('Writing %s', file_name) store = pd.HDFStore(file_name, mode=mode) - pandas_df = pd.DataFrame(self.gdf, copy=True) # the default, `copy=False`, alters the - # DataFrame's Block data of `self.gdf`. + pandas_df = pd.DataFrame(self.gdf) for col in pandas_df.columns: if str(pandas_df[col].dtype) == "geometry": pandas_df[col] = np.asarray(self.gdf[col]) From 5b3711675b17d68c3420e4a5eda009bcbcef122c Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 29 Nov 2023 18:44:23 +0100 Subject: [PATCH 064/192] centroids.test.TestCentroidsFuns.test_select_pass: adapt to downsized LAT/LON arrays --- climada/hazard/centroids/test/test_vec_ras.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index a564637222..d0aa747776 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -487,15 +487,15 @@ class TestCentroidsFuncs(unittest.TestCase): def test_select_pass(self): """Test Centroids.select method""" region_id = np.zeros(VEC_LAT.size) - region_id[[100, 200]] = 10 + region_id[[2, 4]] = 10 centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, region_id=region_id) fil_centr = centr.select(reg_id=10) self.assertEqual(fil_centr.size, 2) - self.assertEqual(fil_centr.lat[0], VEC_LAT[100]) - self.assertEqual(fil_centr.lat[1], VEC_LAT[200]) - self.assertEqual(fil_centr.lon[0], VEC_LON[100]) - self.assertEqual(fil_centr.lon[1], VEC_LON[200]) + self.assertEqual(fil_centr.lat[0], VEC_LAT[2]) + self.assertEqual(fil_centr.lat[1], VEC_LAT[4]) + self.assertEqual(fil_centr.lon[0], VEC_LON[2]) + self.assertEqual(fil_centr.lon[1], VEC_LON[4]) self.assertTrue(np.array_equal(fil_centr.region_id, np.ones(2) * 10)) def test_select_extent_pass(self): From 78811c5ed93790cdd9a1593e71804effc6cb980a Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 29 Nov 2023 19:10:08 +0100 Subject: [PATCH 065/192] test_vec_ras: fix TestCentroids.test_centroids_check_pass --- climada/hazard/centroids/test/test_vec_ras.py | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index d0aa747776..d243b3d3e8 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -61,7 +61,7 @@ REGION_ID = np.array([776, 242, 578, 0, 10, 218]) TEST_CRS = 'EPSG:4326' -ALT_CRS = 'eps:32632' #Europe +ALT_CRS = 'epsg:32632' #Europe class TestVector(unittest.TestCase): """Test CentroidsVector class""" @@ -375,13 +375,11 @@ class TestCentroids(unittest.TestCase): def test_centroids_check_pass(self): """Test vector data in Centroids""" - data_vec = data_vector() - lat, lon, geometry = data_vec - centr = Centroids(latitude=lat, longitude=lon, crs=geometry.crs) + centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=ALT_CRS) - self.assertTrue(u_coord.equal_crs(centr.crs, data_vec[2].crs)) - for i in range(4): - self.assertEqual(centr.total_bounds[i], data_vec[2].total_bounds[i]) + self.assertTrue(u_coord.equal_crs(centr.crs, CRS.from_user_input(ALT_CRS))) + self.assertEqual(list(centr.total_bounds), + [VEC_LON.min(), VEC_LAT.min(), VEC_LON.max(), VEC_LAT.max()]) self.assertIsInstance(centr.lat, np.ndarray) self.assertIsInstance(centr.lon, np.ndarray) From 84de9bf21184bf71575e267cabfba889e8f1afee Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 29 Nov 2023 19:15:40 +0100 Subject: [PATCH 066/192] test_vec_ras: remove TestReader.test_write_read_points_h5 as it is redundant to and covered by test_centr.TestCentroidsWriter.test_read_write_hdf5 --- climada/hazard/centroids/test/test_vec_ras.py | 13 ------------- 1 file changed, 13 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index d243b3d3e8..0759e2475e 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -466,19 +466,6 @@ def test_write_read_raster_h5(self): self.assertAlmostEqual(centr_read.meta['transform'].f, centr.meta['transform'].f) self.assertTrue(u_coord.equal_crs(centr_read.meta['crs'], centr.meta['crs'])) - def test_write_read_points_h5(self): - file_name = str(DATA_DIR.joinpath('test_centr.h5')) - - centr = Centroids.from_lat_lon(VEC_LAT, VEC_LON) - centr.write_hdf5(file_name) - - centr_read = Centroids.from_hdf5(file_name) - self.assertFalse(centr_read.meta) - self.assertTrue(centr_read.lat.size) - self.assertTrue(centr_read.lon.size) - self.assertTrue(np.allclose(centr_read.lat, centr.lat)) - self.assertTrue(np.allclose(centr_read.lon, centr.lon)) - self.assertTrue(u_coord.equal_crs(centr_read.crs, centr.crs)) class TestCentroidsFuncs(unittest.TestCase): """Test Centroids methods""" From 1ab1b69d9e938d9bfbacc90e10629f40f4db1a63 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Mon, 4 Dec 2023 14:06:56 +0100 Subject: [PATCH 067/192] fix typo in from_exposures method --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 8481abfc60..00a7af1966 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -250,7 +250,7 @@ def from_exposures(cls, exposures): Centroids built from the exposures """ gdf = exposures.gdf[['geometry', 'region_id']] - return cls.from_geodtaframe(gdf) + return cls.from_geodataframe(gdf) @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): From 19b02a563d7a479b9a75eeb51cf1a87ec5612b03 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Mon, 4 Dec 2023 15:37:42 +0100 Subject: [PATCH 068/192] centroids.centr.from_csv: write class method --- climada/hazard/centroids/centr.py | 33 ++++++++++++++++++++++++++++++- 1 file changed, 32 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 00a7af1966..54c1565d6e 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -74,6 +74,12 @@ } """Excel variable names""" +DEF_VAR_CSV = { + 'lat': 'latitude', + 'lon': 'longitude', +} +"""CSV variable names""" + LOGGER = logging.getLogger(__name__) @@ -236,7 +242,7 @@ def from_geodataframe(cls, gdf): @classmethod def from_exposures(cls, exposures): """ - Generate centroids form the location of an exposures. + Generate centroids from the location of an exposures. Parameters ---------- @@ -251,6 +257,31 @@ def from_exposures(cls, exposures): """ gdf = exposures.gdf[['geometry', 'region_id']] return cls.from_geodataframe(gdf) + + #TODO: Check whether other variables are necessary, e.g. dist to coast + @classmethod + def from_csv(cls, file_path, crs=DEF_CRS, var_names=DEF_VAR_CSV): + """ + Generate centroids from a csv file. + + Parameters + ---------- + file_path : str + path to csv file to be read + crs : dict() or rasterio.crs.CRS, optional + CRS. Default: DEF_CRS + var_names : dict, default + name of the variables + + Returns + ------- + Centroids + Centroids built from the csv file + """ + df = pd.read_csv(file_path) + geometry = gpd.points_from_xy(df[var_names['lat']], df[var_names['lon']]) + gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + return cls.from_geodataframe(gdf) @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): From 5e4e03d0f3461bfdca95ed47f9185d40af9cf932 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Tue, 5 Dec 2023 09:13:39 +0100 Subject: [PATCH 069/192] centroids.centr.from_csv: correct order of xy --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 54c1565d6e..9992e1231c 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -279,7 +279,7 @@ def from_csv(cls, file_path, crs=DEF_CRS, var_names=DEF_VAR_CSV): Centroids built from the csv file """ df = pd.read_csv(file_path) - geometry = gpd.points_from_xy(df[var_names['lat']], df[var_names['lon']]) + geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) return cls.from_geodataframe(gdf) From a42624727d79c2ef4d448b39b1d45e9c0aac6b6d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Tue, 5 Dec 2023 09:47:56 +0100 Subject: [PATCH 070/192] centroids.centr.from_excel: update method for gdf --- climada/hazard/centroids/centr.py | 75 +++++++++++++++++-------------- 1 file changed, 42 insertions(+), 33 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 9992e1231c..a61f6ff836 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -257,31 +257,6 @@ def from_exposures(cls, exposures): """ gdf = exposures.gdf[['geometry', 'region_id']] return cls.from_geodataframe(gdf) - - #TODO: Check whether other variables are necessary, e.g. dist to coast - @classmethod - def from_csv(cls, file_path, crs=DEF_CRS, var_names=DEF_VAR_CSV): - """ - Generate centroids from a csv file. - - Parameters - ---------- - file_path : str - path to csv file to be read - crs : dict() or rasterio.crs.CRS, optional - CRS. Default: DEF_CRS - var_names : dict, default - name of the variables - - Returns - ------- - Centroids - Centroids built from the csv file - """ - df = pd.read_csv(file_path) - geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) - gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) - return cls.from_geodataframe(gdf) @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): @@ -675,6 +650,37 @@ def from_vector_file(cls, file_name, dst_crs=None): if dst_crs is not None: centroids.gdf.geometry.to_crs(dst_crs, inplace=True) return centroids + + #TODO: Check whether other variables are necessary, e.g. dist to coast + @classmethod + def from_csv(cls, file_path, crs=None, var_names=None): + """ + Generate centroids from a csv file with column names in var_names. + + Parameters + ---------- + file_path : str + path to csv file to be read + crs : dict() or rasterio.crs.CRS, optional + CRS. Default: DEF_CRS + var_names : dict, default + name of the variables. Default: DEF_VAR_CSV + + Returns + ------- + Centroids + Centroids with data from the given csv file + """ + if crs is None: + crs = DEF_CRS + + if var_names is None: + var_names = DEF_VAR_CSV + + df = pd.read_csv(file_path) + geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) + gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + return cls.from_geodataframe(gdf) #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod @@ -685,6 +691,8 @@ def from_excel(cls, file_name, var_names=None): ---------- file_name : str absolute or relative file name + crs : dict() or rasterio.crs.CRS, optional + CRS. Default: DEF_CRS var_names : dict, default name of the variables @@ -695,15 +703,18 @@ def from_excel(cls, file_name, var_names=None): Returns ------- centr : Centroids - Centroids with data from the given file + Centroids with data from the given excel file """ + if crs is None: + crs = DEF_VAR_EXCEL + if var_names is None: var_names = DEF_VAR_EXCEL try: - dfr = pd.read_excel(file_name, var_names['sheet_name']) + df = pd.read_excel(file_name, var_names['sheet_name']) try: - region_id = dfr[var_names['col_name']['region_id']] + region_id = df[var_names['col_name']['region_id']] except KeyError: region_id = None pass @@ -711,11 +722,9 @@ def from_excel(cls, file_name, var_names=None): except KeyError as err: raise KeyError("Not existing variable: %s" % str(err)) from err - return cls( - longitude=dfr[var_names['col_name']['lon']], - latitude=dfr[var_names['col_name']['lat']], - region_id=region_id - ) + geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) + gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + return cls.from_geodataframe(gdf) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format From c60e50f58e764879eb999ae6cc599810dec0288e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Tue, 5 Dec 2023 10:56:23 +0100 Subject: [PATCH 071/192] centroids.centr. update csv and excel methods --- climada/hazard/centroids/centr.py | 10 ++-------- 1 file changed, 2 insertions(+), 8 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index a61f6ff836..8d7b998454 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -653,7 +653,7 @@ def from_vector_file(cls, file_name, dst_crs=None): #TODO: Check whether other variables are necessary, e.g. dist to coast @classmethod - def from_csv(cls, file_path, crs=None, var_names=None): + def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): """ Generate centroids from a csv file with column names in var_names. @@ -671,9 +671,6 @@ def from_csv(cls, file_path, crs=None, var_names=None): Centroids Centroids with data from the given csv file """ - if crs is None: - crs = DEF_CRS - if var_names is None: var_names = DEF_VAR_CSV @@ -684,7 +681,7 @@ def from_csv(cls, file_path, crs=None, var_names=None): #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod - def from_excel(cls, file_name, var_names=None): + def from_excel(cls, file_name, crs= DEF_CRS, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. Parameters @@ -705,9 +702,6 @@ def from_excel(cls, file_name, var_names=None): centr : Centroids Centroids with data from the given excel file """ - if crs is None: - crs = DEF_VAR_EXCEL - if var_names is None: var_names = DEF_VAR_EXCEL From ae6a0ccc59c802243632ebe712c0a4af667adaa9 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 5 Dec 2023 14:57:31 +0100 Subject: [PATCH 072/192] Update tests in test_vec_ras --- climada/hazard/centroids/test/test_vec_ras.py | 64 ++++--------------- 1 file changed, 12 insertions(+), 52 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 0759e2475e..0c73c9544d 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -222,39 +222,17 @@ class TestRaster(unittest.TestCase): def test_from_pnt_bounds_pass(self): """Test from_pnt_bounds""" left, bottom, right, top = 5, 0, 10, 10 - centr = Centroids.from_pnt_bounds((left, bottom, right, top), 0.2) - self.assertTrue(u_coord.equal_crs(centr.meta['crs'], DEF_CRS)) - self.assertEqual(centr.meta['width'], 26) - self.assertEqual(centr.meta['height'], 51) - self.assertAlmostEqual(centr.meta['transform'][0], 0.2) - self.assertAlmostEqual(centr.meta['transform'][1], 0.0) - self.assertAlmostEqual(centr.meta['transform'][2], 5 - 0.2 / 2) - self.assertAlmostEqual(centr.meta['transform'][3], 0.0) - self.assertAlmostEqual(centr.meta['transform'][4], -0.2) - self.assertAlmostEqual(centr.meta['transform'][5], 10 + 0.2 / 2) - self.assertTrue('lat' in centr.__dict__.keys()) - self.assertTrue('lon' in centr.__dict__.keys()) + centr = Centroids.from_pnt_bounds((left, bottom, right, top), 0.2, crs=DEF_CRS) + self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) def test_read_all_pass(self): """Test centr_ras data""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - self.assertAlmostEqual(centr_ras.meta['crs'], DEF_CRS) - self.assertAlmostEqual(centr_ras.meta['transform'].c, -69.33714959699981) - self.assertAlmostEqual(centr_ras.meta['transform'].a, 0.009000000000000341) - self.assertAlmostEqual(centr_ras.meta['transform'].b, 0.0) - self.assertAlmostEqual(centr_ras.meta['transform'].f, 10.42822096697894) - self.assertAlmostEqual(centr_ras.meta['transform'].d, 0.0) - self.assertAlmostEqual(centr_ras.meta['transform'].e, -0.009000000000000341) - self.assertEqual(centr_ras.meta['height'], 60) - self.assertEqual(centr_ras.meta['width'], 50) - - inten_ras = centr_ras.values_from_raster_files([HAZ_DEMO_FL], window=Window(0, 0, 50, 60)) - self.assertEqual(inten_ras.shape, (1, 60 * 50)) + self.assertAlmostEqual(centr_ras.crs, DEF_CRS) def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.meta['crs'] = 'epsg:32632' xy_vec = centr_ras._ne_crs_geom() x_vec, y_vec = xy_vec.geometry[:].x.values, xy_vec.geometry[:].y.values @@ -273,7 +251,6 @@ def test_region_id_pass(self): def test_set_geometry_points_pass(self): """Test set_geometry_points""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_geometry_points() x_flat = np.arange(-69.3326495969998, -68.88264959699978, 0.009000000000000341) y_flat = np.arange(10.423720966978939, 9.883720966978919, -0.009000000000000341) x_grid, y_grid = np.meshgrid(x_flat, y_flat) @@ -283,26 +260,23 @@ def test_set_geometry_points_pass(self): def test_dist_coast_pass(self): """Test set_region_id""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_dist_coast() - centr_ras.check() - self.assertTrue(abs(centr_ras.dist_coast[0] - 117000) < 1000) - self.assertTrue(abs(centr_ras.dist_coast[-1] - 104000) < 1000) + dist_coast = centr_ras.get_dist_coast() + self.assertTrue(abs(dist_coast[0] - 117000) < 1000) + self.assertTrue(abs(dist_coast[-1] - 104000) < 1000) def test_on_land(self): """Test set_on_land""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) centr_ras.set_on_land() - centr_ras.check() self.assertTrue(np.array_equal(centr_ras.on_land, np.ones(60 * 50, bool))) def test_area_pass(self): """Test set_area""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.meta['crs'] = {'proj': 'cea'} - centr_ras.set_area_pixel() - centr_ras.check() + #centr_ras.meta['crs'] = {'proj': 'cea'} + area_pixel = centr_ras.get_area_pixel() self.assertTrue( - np.allclose(centr_ras.area_pixel, + np.allclose(area_pixel, np.ones(60 * 50) * 0.009000000000000341 * 0.009000000000000341)) def test_size_pass(self): @@ -319,7 +293,7 @@ def test_get_closest_point(self): 'transform': rasterio.Affine(0.5, 0, 0.1, 0, y_sign * 0.6, y_sign * (-0.3)), 'crs': DEF_CRS, } - centr_ras = Centroids(meta=meta) + centr_ras = Centroids.from_meta(meta=meta) test_data = np.array([ [0.4, 0.1, 0.35, 0.0, 0], @@ -337,7 +311,7 @@ def test_get_closest_point(self): self.assertEqual(centr_ras.lon[idx], x) self.assertEqual(centr_ras.lat[idx], y) - centr_ras = Centroids.from_lat_lon(np.array([0, 0.2, 0.7]), np.array([-0.4, 0.2, 1.1])) + centr_ras = Centroids(latitude=np.array([0, 0.2, 0.7]), longitude=np.array([-0.4, 0.2, 1.1])) x, y, idx = centr_ras.get_closest_point(0.1, 0.0) self.assertEqual(x, 0.2) self.assertEqual(y, 0.2) @@ -345,21 +319,7 @@ def test_get_closest_point(self): def test_set_meta_to_lat_lon_pass(self): """Test set_meta_to_lat_lon by using its inverse set_lat_lon_to_meta""" - lat, lon, geometry = data_vector() - - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - - centr.set_lat_lon_to_meta() - meta = centr.meta - centr.set_meta_to_lat_lon() - self.assertEqual(centr.meta, meta) - self.assertAlmostEqual(lat.max(), centr.lat.max(), 6) - self.assertAlmostEqual(lat.min(), centr.lat.min(), 6) - self.assertAlmostEqual(lon.max(), centr.lon.max(), 6) - self.assertAlmostEqual(lon.min(), centr.lon.min(), 6) - self.assertAlmostEqual(np.diff(centr.lon).max(), meta['transform'][0]) - self.assertAlmostEqual(np.diff(centr.lat).max(), meta['transform'][4]) - self.assertTrue(u_coord.equal_crs(geometry.crs, centr.geometry.crs)) + pass def test_equal_pass(self): """Test equal""" From fbf28d43409db103c8e0c5b1f42faad68c6dc03d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 5 Dec 2023 16:39:35 +0100 Subject: [PATCH 073/192] Update more tests and remove some with meta --- climada/hazard/centroids/test/test_vec_ras.py | 153 ++++-------------- 1 file changed, 33 insertions(+), 120 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 0c73c9544d..349fd6592c 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -33,6 +33,7 @@ from climada.hazard.centroids.centr import Centroids from climada.util.constants import HAZ_DEMO_FL, DEF_CRS import climada.util.coordinates as u_coord +import itertools DATA_DIR = CONFIG.hazard.test_data.dir() @@ -128,73 +129,30 @@ def test_area_pass(self): 'lat': yy.flatten(), }, crs={'proj': 'cea'}) - centr = Centroids(latitude=vec_data.lat.values, longitude=vec_data.lon.values) - centr.geometry = vec_data.geometry - centr.set_area_pixel() - self.assertTrue(np.allclose(centr.area_pixel, np.ones(centr.size))) + area_pixel = self.centr.get_area_pixel() + self.assertTrue(np.allclose(area_pixel, np.ones(self.centr.size))) def test_size_pass(self): """Test size property""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - self.assertEqual(centr.size, 296) + centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON) + self.assertEqual(centr.size, len(VEC_LAT)) def test_get_closest_point(self): """Test get_closest_point""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - x, y, idx = centr.get_closest_point(-58.13, 14.38) + x, y, idx = self.centr.get_closest_point(-58.13, 14.38) self.assertAlmostEqual(x, -58.125) self.assertAlmostEqual(y, 14.375) self.assertEqual(idx, 295) - self.assertEqual(centr.lon[idx], x) - self.assertEqual(centr.lat[idx], y) - - def test_set_lat_lon_to_meta_pass(self): - """Test set_lat_lon_to_meta""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(latitude=lat, longitude=lon, crs='epsg:4326') - - centr.set_lat_lon_to_meta() - self.assertTrue(u_coord.equal_crs(centr.meta['crs'], 'epsg:4326')) - self.assertEqual(centr.meta['width'], 36) - self.assertEqual(centr.meta['height'], 31) - self.assertEqual(centr.meta['transform'][1], 0.0) - self.assertEqual(centr.meta['transform'][3], 0.0) - self.assertAlmostEqual(centr.meta['transform'][0], 0.08333333) - self.assertAlmostEqual(centr.meta['transform'][2], -61.08333333) - self.assertAlmostEqual(centr.meta['transform'][4], 0.08333333) - self.assertAlmostEqual(centr.meta['transform'][5], 11.83333333) - - def test_get_pixel_polygons_pass(self): - """Test calc_pixels_polygons""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(latitude=lat, longitude=lon, geometry=geometry) - poly = centr.calc_pixels_polygons() - self.assertIsInstance(poly[0], Polygon) - self.assertTrue(np.allclose(poly.centroid[:].y.values, centr.lat)) - self.assertTrue(np.allclose(poly.centroid[:].x.values, centr.lon)) - - def test_area_approx(self): - """Test set_area_approx""" - lat, lon, geometry = data_vector() - geometry.crs = 'epsg:4326' - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - with self.assertRaises(ValueError): - centr.set_area_approx() + self.assertEqual(self.centr.lon[idx], x) + self.assertEqual(self.centr.lat[idx], y) def test_append_pass(self): """Append points""" - lat, lon, geometry = data_vector() - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - centr_bis = Centroids.from_lat_lon(np.array([1, 2, 3]), np.array([4, 5, 6])) + centr = self.centr + centr_bis = Centroids(latitude=np.array([1, 2, 3]), longitude=np.array([4, 5, 6]), crs=DEF_CRS) with self.assertRaises(ValueError): - centr_bis.append(centr) - centr.geometry.crs = 'epsg:4326' + #Different crs + centr_bis.to_crs(ALT_CRS).append(centr) centr_bis.append(centr) self.assertAlmostEqual(centr_bis.lat[0], 1) self.assertAlmostEqual(centr_bis.lat[1], 2) @@ -207,13 +165,16 @@ def test_append_pass(self): def test_equal_pass(self): """Test equal""" - lat, lon, geometry = data_vector() - centr = Centroids(lat=lat, lon=lon, geometry=geometry) - centr_bis = Centroids.from_lat_lon(np.array([1, 2, 3]), np.array([4, 5, 6])) - self.assertFalse(centr.equal(centr_bis)) - self.assertFalse(centr_bis.equal(centr)) - self.assertTrue(centr_bis.equal(centr_bis)) - self.assertTrue(centr.equal(centr)) + centr_list = [ + Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=DEF_CRS), + Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=ALT_CRS), + Centroids(latitude=VEC_LAT+1, longitude=VEC_LON+1) + ] + for centr1, centr2 in itertools.combinations(centr_list, 2): + self.assertFalse(centr2 == centr1) + self.assertFalse(centr1 == centr2) + self.assertTrue(centr1 == centr1) + self.assertTrue(centr2 == centr2) class TestRaster(unittest.TestCase): @@ -228,7 +189,7 @@ def test_from_pnt_bounds_pass(self): def test_read_all_pass(self): """Test centr_ras data""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - self.assertAlmostEqual(centr_ras.crs, DEF_CRS) + self.assertTrue(u_coord.equal_crs(centr_ras.crs, DEF_CRS)) def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" @@ -352,79 +313,31 @@ def test_centroids_check_pass(self): class TestReader(unittest.TestCase): """Test Centroids setter vector and raster methods""" + def setUp(self): + self.centr = Centroids(latitude=VEC_LAT,longitude=VEC_LON, crs=TEST_CRS) + def test_from_vector_file(self): """Test from_vector_file and values_from_vector_files""" shp_file = shapereader.natural_earth(resolution='110m', category='cultural', name='populated_places_simple') - centr = Centroids.from_vector_file(shp_file) - inten = centr.values_from_vector_files([shp_file], val_names=['pop_min', 'pop_max']) - self.assertTrue(u_coord.equal_crs(centr.geometry.crs, u_coord.NE_EPSG)) - self.assertEqual(centr.geometry.size, centr.lat.size) - self.assertTrue(u_coord.equal_crs(centr.geometry.crs, u_coord.NE_EPSG)) + centr = Centroids.from_vector_file(shp_file, dst_crs=DEF_CRS) + self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) self.assertAlmostEqual(centr.lon[0], 12.453386544971766) self.assertAlmostEqual(centr.lon[-1], 114.18306345846304) self.assertAlmostEqual(centr.lat[0], 41.903282179960115) self.assertAlmostEqual(centr.lat[-1], 22.30692675357551) - self.assertEqual(inten.shape, (2, 243)) - # population min - self.assertEqual(inten[0, 0], 832) - self.assertEqual(inten[0, -1], 4551579) - # population max - self.assertEqual(inten[1, 0], 832) - self.assertEqual(inten[1, -1], 7206000) - - # Test reading values from file with incompatible geometry - shp_file = shapereader.natural_earth(resolution='10m', category='cultural', - name='populated_places_simple') - with self.assertRaises(ValueError) as cm: - centr.values_from_vector_files([shp_file], val_names=['pop_min', 'pop_max']) - self.assertIn( - "Vector data inconsistent with contained vector", str(cm.exception) - ) - - def test_from_raster_file_wrong_fail(self): - """Test from_raster_file with wrong centroids""" - centr = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(10, 20, 50, 60)) - self.assertAlmostEqual(centr.meta['crs'], DEF_CRS) - self.assertAlmostEqual(centr.meta['transform'].c, -69.2471495969998) - self.assertAlmostEqual(centr.meta['transform'].a, 0.009000000000000341) - self.assertAlmostEqual(centr.meta['transform'].b, 0.0) - self.assertAlmostEqual(centr.meta['transform'].f, 10.248220966978932) - self.assertAlmostEqual(centr.meta['transform'].d, 0.0) - self.assertAlmostEqual(centr.meta['transform'].e, -0.009000000000000341) - self.assertEqual(centr.meta['height'], 60) - self.assertEqual(centr.meta['width'], 50) - - inten_ras = centr.values_from_raster_files([HAZ_DEMO_FL], window=Window(10, 20, 50, 60)) - self.assertEqual(inten_ras.shape, (1, 60 * 50)) - self.assertAlmostEqual(inten_ras.reshape((60, 50)).tocsr()[25, 12], 0.056825936) + centr = Centroids.from_vector_file(shp_file, dst_crs=ALT_CRS) + self.assertTrue(u_coord.equal_crs(centr.crs, ALT_CRS)) - with self.assertRaises(ValueError): - centr.values_from_raster_files([HAZ_DEMO_FL], window=Window(10, 20, 52, 60)) - def test_write_read_raster_h5(self): + def test_write_read_h5(self): """Write and read hdf5 format""" file_name = str(DATA_DIR.joinpath('test_centr.h5')) - - xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon = 10, 5, -0.5, 0.2, 20, 25 - centr = Centroids.from_pix_bounds(xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon) - centr.write_hdf5(file_name) - + self.centr.write_hdf5(file_name) centr_read = Centroids.from_hdf5(file_name) - self.assertTrue(centr_read.meta) - self.assertFalse(centr_read.lat.size) - self.assertFalse(centr_read.lon.size) - self.assertEqual(centr_read.meta['width'], centr.meta['width']) - self.assertEqual(centr_read.meta['height'], centr.meta['height']) - self.assertAlmostEqual(centr_read.meta['transform'].a, centr.meta['transform'].a) - self.assertAlmostEqual(centr_read.meta['transform'].b, centr.meta['transform'].b) - self.assertAlmostEqual(centr_read.meta['transform'].c, centr.meta['transform'].c) - self.assertAlmostEqual(centr_read.meta['transform'].d, centr.meta['transform'].d) - self.assertAlmostEqual(centr_read.meta['transform'].e, centr.meta['transform'].e) - self.assertAlmostEqual(centr_read.meta['transform'].f, centr.meta['transform'].f) - self.assertTrue(u_coord.equal_crs(centr_read.meta['crs'], centr.meta['crs'])) + self.assertEqual(self.centr, centr_read) class TestCentroidsFuncs(unittest.TestCase): From 929f0e1e53e2e03caef8345fdda24269e4f2abe7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Tue, 5 Dec 2023 16:43:32 +0100 Subject: [PATCH 074/192] centroids.centr.from_excel fix columnn indexing --- climada/hazard/centroids/centr.py | 10 ++++++---- 1 file changed, 6 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 8d7b998454..f4bca7a3a9 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -677,17 +677,18 @@ def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): df = pd.read_csv(file_path) geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + gdf = gdf.drop(columns=[var_names['lon'], var_names['lat']]) return cls.from_geodataframe(gdf) #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod - def from_excel(cls, file_name, crs= DEF_CRS, var_names=None): + def from_excel(cls, file_path, crs= DEF_CRS, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. Parameters ---------- file_name : str - absolute or relative file name + absolute or relative file path crs : dict() or rasterio.crs.CRS, optional CRS. Default: DEF_CRS var_names : dict, default @@ -706,7 +707,7 @@ def from_excel(cls, file_name, crs= DEF_CRS, var_names=None): var_names = DEF_VAR_EXCEL try: - df = pd.read_excel(file_name, var_names['sheet_name']) + df = pd.read_excel(file_path, var_names['sheet_name']) try: region_id = df[var_names['col_name']['region_id']] except KeyError: @@ -716,8 +717,9 @@ def from_excel(cls, file_name, crs= DEF_CRS, var_names=None): except KeyError as err: raise KeyError("Not existing variable: %s" % str(err)) from err - geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) + geometry = gpd.points_from_xy(df[var_names['col_name']['lon']], df[var_names['col_name']['lat']]) gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + gdf = gdf.drop(columns=[var_names['col_name']['lon'], var_names['col_name']['lat']]) return cls.from_geodataframe(gdf) def write_hdf5(self, file_name, mode='w'): From 17ee8b1156cec44207b3c53e94d02aa974aaf1fa Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 5 Dec 2023 22:01:32 +0100 Subject: [PATCH 075/192] Add possibility to NOT recenter crs for countires. This lead to a bug in the assign region id method because longitude of the countries geometry was shifted, but not the entry lat/lon points. --- climada/util/coordinates.py | 16 +++++++++++----- 1 file changed, 11 insertions(+), 5 deletions(-) diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index ca901f9a4a..b5b126e8e2 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -750,7 +750,7 @@ def nat_earth_resolution(resolution): raise ValueError('Natural Earth does not accept resolution %s m.' % resolution) return str(resolution) + 'm' -def get_country_geometries(country_names=None, extent=None, resolution=10): +def get_country_geometries(country_names=None, extent=None, resolution=10, center_crs=True): """Natural Earth country boundaries within given extent If no arguments are given, simply returns the whole natural earth dataset. @@ -759,8 +759,9 @@ def get_country_geometries(country_names=None, extent=None, resolution=10): starts including the projection information. (They are saving a whopping 147 bytes by omitting it.) Same goes for UTF. - If extent is provided, longitude values in 'geom' will all lie within 'extent' longitude - range. Therefore setting extent to e.g. [160, 200, -20, 20] will provide longitude values + If extent is provided and center_crs is True, longitude values in 'geom' will all lie + within 'extent' longitude range. + Therefore setting extent to e.g. [160, 200, -20, 20] will provide longitude values between 160 and 200 degrees. Parameters @@ -772,6 +773,10 @@ def get_country_geometries(country_names=None, extent=None, resolution=10): Extent, assumed to be in the same CRS as the natural earth data. resolution : float, optional 10, 50 or 110. Resolution in m. Default: 10m + center_crs : bool + if True, the crs of the countries is centered such that + longitude values in 'geom' will all lie within 'extent' longitude range. + Default is True. Returns ------- @@ -833,7 +838,7 @@ def get_country_geometries(country_names=None, extent=None, resolution=10): bbox = gpd.GeoSeries(bbox, crs=DEF_CRS) bbox = gpd.GeoDataFrame({'geometry': bbox}, crs=DEF_CRS) out = gpd.overlay(out, bbox, how="intersection") - if ~lon_normalized: + if ~lon_normalized and center_crs: lon_mid = 0.5 * (extent[0] + extent[1]) # reset the CRS attribute after rewrapping (we don't really change the CRS) out = ( @@ -1538,7 +1543,8 @@ def get_country_code(lat, lon, gridded=False): region_id = region_id.astype(int) else: (lon_min, lat_min, lon_max, lat_max) = latlon_bounds(lat, lon, 0.001) - countries = get_country_geometries(extent=(lon_min, lon_max, lat_min, lat_max)) + countries = get_country_geometries( + extent=(lon_min, lon_max, lat_min, lat_max), center_crs=False) with warnings.catch_warnings(): # in order to suppress the following # UserWarning: Geometry is in a geographic CRS. Results from 'area' are likely From e58aef2f830fea261312d1893ae9cdfef29befcb Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 5 Dec 2023 22:01:45 +0100 Subject: [PATCH 076/192] Add to_csre convenience method --- climada/hazard/centroids/centr.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index a61f6ff836..31966907fb 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -216,6 +216,23 @@ def to_default_crs(self): """ self.gdf.to_crs(DEF_CRS, inplace=True) + def to_crs(self, crs): + """ + Project the current centroids to the default CRS (epsg4326) + Modifies the object in place. + + Parameters + ---------- + crs : str + coordinate reference system + + Returns + ------- + Centroids + Centroids in the new crs + """ + return Centroids.from_geodataframe(self.gdf.to_crs(crs)) + @classmethod def from_geodataframe(cls, gdf): """Initialize centroids from a geodataframe From b70a0f438a81b513a442e3b0b21cea89737b7e9d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 5 Dec 2023 22:02:08 +0100 Subject: [PATCH 077/192] Prepare the stage for setting other than admin0 region id --- climada/hazard/centroids/centr.py | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 31966907fb..681b31cd15 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -368,7 +368,7 @@ def get_closest_point(self, x_lon, y_lat, scheduler=None): close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() return self.lon[close_idx], self.lat[close_idx], close_idx - def set_region_id(self): + def set_region_id(self, level='country'): """Set region_id as country ISO numeric code attribute for every pixel or point. Parameters @@ -377,15 +377,21 @@ def set_region_id(self): used for dask map_partitions. “threads”, “synchronous” or “processes” """ LOGGER.debug('Setting region_id %s points.', str(self.size)) - if u_coord.equal_crs(self.crs, 'epsg:4326'): - self.gdf['region_id'] = u_coord.get_country_code( - self.lat, self.lon) + if level == 'country': + if u_coord.equal_crs(self.crs, 'epsg:4326'): + self.gdf['region_id'] = u_coord.get_country_code( + self.lat, self.lon) + else: + raise NotImplementedError( + 'The region id can only be assigned if the crs is epsg:4326' + 'Please use .to_default_crs to change to epsg:4326' + ) else: raise NotImplementedError( - 'The region id can only be assigned if the crs is epsg:4326' - 'Please use .to_default_crs to change to epsg:4326' + 'The region id can only be assigned for countries so far' ) + # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER def get_elevation(self, topo_path): """Return elevation attribute for every pixel or point in meters. From 494d416b6fa9ba8a9205835a2176a7aae5691224 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 5 Dec 2023 22:02:37 +0100 Subject: [PATCH 078/192] Remove uneeded import --- climada/hazard/centroids/test/test_vec_ras.py | 1 - 1 file changed, 1 deletion(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 349fd6592c..3a00bdabf7 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -27,7 +27,6 @@ import rasterio from rasterio.windows import Window from shapely.geometry.point import Point -from shapely.geometry.polygon import Polygon from climada import CONFIG from climada.hazard.centroids.centr import Centroids From 448cf7714efebd95113c8c5727ecd9b02eb6fdc5 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 6 Dec 2023 13:36:19 +0100 Subject: [PATCH 079/192] cenctroids.centr: fix the obvious --- climada/hazard/centroids/centr.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 681b31cd15..f622c44473 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -253,7 +253,7 @@ def from_geodataframe(cls, gdf): longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, crs=gdf.crs, - **gdf.drop(columns=['geometry']).to_dict(orient='list') + **gdf.drop(columns=['geometry', 'latitude', 'longitude'], errors='ignore').to_dict(orient='list') ) @classmethod @@ -707,7 +707,7 @@ def from_csv(cls, file_path, crs=None, var_names=None): #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod - def from_excel(cls, file_name, var_names=None): + def from_excel(cls, file_name, crs=None, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. Parameters @@ -729,7 +729,7 @@ def from_excel(cls, file_name, var_names=None): Centroids with data from the given excel file """ if crs is None: - crs = DEF_VAR_EXCEL + crs = DEF_CRS if var_names is None: var_names = DEF_VAR_EXCEL @@ -745,7 +745,7 @@ def from_excel(cls, file_name, var_names=None): except KeyError as err: raise KeyError("Not existing variable: %s" % str(err)) from err - geometry = gpd.points_from_xy(df[var_names['lon']], df[var_names['lat']]) + geometry = gpd.points_from_xy(df[var_names['col_name']['lon']], df[var_names['col_name']['lat']]) gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) return cls.from_geodataframe(gdf) From c736356f596ccd8b7f8896bac68fb81d3fa5d53c Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 6 Dec 2023 14:26:34 +0100 Subject: [PATCH 080/192] gencenctroids.centr: change crs of the geodataframe instead of the geometry --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index f622c44473..9afa28de81 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -671,7 +671,7 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids = cls.from_geodataframe(gpd.read_file(file_name)) if dst_crs is not None: - centroids.gdf.geometry.to_crs(dst_crs, inplace=True) + centroids.gdf.to_crs(dst_crs, inplace=True) return centroids #TODO: Check whether other variables are necessary, e.g. dist to coast From 2880bccd4f545c68f5d8c01a0f9b608603f6f89d Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 6 Dec 2023 15:06:32 +0100 Subject: [PATCH 081/192] white space cosmetics --- climada/hazard/centroids/centr.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 9afa28de81..f83df4742b 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -673,13 +673,13 @@ def from_vector_file(cls, file_name, dst_crs=None): if dst_crs is not None: centroids.gdf.to_crs(dst_crs, inplace=True) return centroids - + #TODO: Check whether other variables are necessary, e.g. dist to coast @classmethod def from_csv(cls, file_path, crs=None, var_names=None): """ Generate centroids from a csv file with column names in var_names. - + Parameters ---------- file_path : str @@ -688,7 +688,7 @@ def from_csv(cls, file_path, crs=None, var_names=None): CRS. Default: DEF_CRS var_names : dict, default name of the variables. Default: DEF_VAR_CSV - + Returns ------- Centroids @@ -705,7 +705,7 @@ def from_csv(cls, file_path, crs=None, var_names=None): gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) return cls.from_geodataframe(gdf) -#TODO: this method is badly written but kept for backwards compatibility. It should be improved. + #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod def from_excel(cls, file_name, crs=None, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. From 8cc88e76d0d99e520f0ce9397468ff9b5f6a33c3 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 6 Dec 2023 16:24:19 +0100 Subject: [PATCH 082/192] PEP8 --- climada/engine/test/test_cost_benefit.py | 1 - climada/hazard/centroids/centr.py | 52 ++++++++++++------------ 2 files changed, 26 insertions(+), 27 deletions(-) diff --git a/climada/engine/test/test_cost_benefit.py b/climada/engine/test/test_cost_benefit.py index 87bd1deb43..095716fc9c 100644 --- a/climada/engine/test/test_cost_benefit.py +++ b/climada/engine/test/test_cost_benefit.py @@ -35,7 +35,6 @@ from climada.test import get_test_file -HAZ_TEST_MAT = get_test_file('atl_prob_no_name') ENT_TEST_MAT = get_test_file('demo_today', file_format='MAT-file') HAZ_TEST_TC :Path = get_test_file('test_tc_florida') diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index f83df4742b..1bcf58a94e 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -22,7 +22,7 @@ import copy import logging from pathlib import Path -from typing import Optional, Dict, Any +from typing import Optional import warnings import h5py @@ -32,16 +32,14 @@ import numpy as np import pandas as pd from pyproj.crs.crs import CRS -from rasterio.warp import Resampling +import rasterio from shapely.geometry.point import Point -from climada.util.constants import (DEF_CRS, - ONE_LAT_KM, - NATEARTH_CENTROIDS) +from climada.util.constants import DEF_CRS import climada.util.coordinates as u_coord -import climada.util.hdf5_handler as u_hdf5 import climada.util.plot as u_plot + __all__ = ['Centroids'] PROJ_CEA = CRS.from_user_input({'proj': 'cea'}) @@ -253,7 +251,8 @@ def from_geodataframe(cls, gdf): longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, crs=gdf.crs, - **gdf.drop(columns=['geometry', 'latitude', 'longitude'], errors='ignore').to_dict(orient='list') + **gdf.drop(columns=['geometry', 'latitude', 'longitude'], + errors='ignore').to_dict(orient='list') ) @classmethod @@ -344,7 +343,7 @@ def union(self, *others): # remove duplicate points return Centroids.remove_duplicate_points(centroids) - def get_closest_point(self, x_lon, y_lat, scheduler=None): + def get_closest_point(self, x_lon, y_lat): """Returns closest centroid and its index to a given point. Parameters @@ -353,8 +352,6 @@ def get_closest_point(self, x_lon, y_lat, scheduler=None): x coord (lon) y_lat : float y coord (lat) - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” Returns ------- @@ -526,7 +523,7 @@ def select_mask(self, sel_cen=None, reg_id=None, extent=None): return sel_cen #TODO replace with nice Geodataframe util plot method. - def plot(self, ax=None, figsize=(9, 13), **kwargs): + def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, **kwargs): """Plot centroids scatter points over earth. Parameters @@ -536,6 +533,8 @@ def plot(self, ax=None, figsize=(9, 13), **kwargs): figsize: (float, float), optional figure size for plt.subplots The default is (9, 13) + latlon_bounds_buffer : float, optional + Buffer to add to all sides of the bounding box. Default: 0.0. kwargs : optional arguments for scatter matplotlib function @@ -547,7 +546,8 @@ def plot(self, ax=None, figsize=(9, 13), **kwargs): proj_plot = proj_data if isinstance(proj_data, ccrs.PlateCarree): # use different projections for plot and data to shift the central lon in the plot - xmin, ymin, xmax, ymax = u_coord.latlon_bounds(self.lat, self.lon, buffer=pad) + xmin, _ymin, xmax, _ymax = u_coord.latlon_bounds(self.lat, self.lon, + buffer=latlon_bounds_buffer) proj_plot = ccrs.PlateCarree(central_longitude=0.5 * (xmin + xmax)) if ax is None: @@ -592,9 +592,9 @@ def get_area_pixel(self, min_resol=1.0e-8): ''' @classmethod - def from_raster_file(cls, file_name, src_crs=None, window=None, - geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest, return_meta=False): + def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, + dst_crs=None, transform=None, width=None, height=None, + resampling=rasterio.warp.Resampling.nearest, return_meta=False): """Create a new Centroids object from a raster file Select region using window or geometry. Reproject input by providing @@ -618,8 +618,9 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, number of lons for transform height : float number of lats for transform - resampling : rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs + resampling : rasterio.warp.Resampling optional + resampling function used for reprojection to dst_crs, + default: nearest Returns ------- @@ -736,16 +737,12 @@ def from_excel(cls, file_name, crs=None, var_names=None): try: df = pd.read_excel(file_name, var_names['sheet_name']) - try: - region_id = df[var_names['col_name']['region_id']] - except KeyError: - region_id = None - pass except KeyError as err: - raise KeyError("Not existing variable: %s" % str(err)) from err + raise KeyError(f"Not existing variable: {err}") from err - geometry = gpd.points_from_xy(df[var_names['col_name']['lon']], df[var_names['col_name']['lat']]) + geometry = gpd.points_from_xy(df[var_names['col_name']['lon']], + df[var_names['col_name']['lat']]) gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) return cls.from_geodataframe(gdf) @@ -770,7 +767,9 @@ def write_hdf5(self, file_name, mode='w'): # Write dataframe store.put('centroids', pandas_df) - store.get_storer('centroids').attrs.metadata = {'crs': CRS.from_user_input(self.crs).to_wkt()} + store.get_storer('centroids').attrs.metadata = { + 'crs': CRS.from_user_input(self.crs).to_wkt() + } store.close() @@ -794,7 +793,8 @@ def from_hdf5(cls, file_name): try: with pd.HDFStore(file_name, mode='r') as store: metadata = store.get_storer('centroids').attrs.metadata - # in previous versions of CLIMADA and/or geopandas, the CRS was stored in '_crs'/'crs' + # in previous versions of CLIMADA and/or geopandas, + # the CRS was stored in '_crs'/'crs' crs = metadata.get('crs') gdf = gpd.GeoDataFrame(store['centroids'], crs=crs) except TypeError: From 11a6439d8aab73509235b938c8ab81e4c281628c Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 6 Dec 2023 16:41:58 +0100 Subject: [PATCH 083/192] Add solid region id and on land tests --- climada/hazard/centroids/test/test_vec_ras.py | 30 ++++++++----------- 1 file changed, 13 insertions(+), 17 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 3a00bdabf7..8e45f08c65 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -39,26 +39,22 @@ # Note: the coordinates are not directly on the cities, the region id and on land # otherwise do not work correctly. It is only the closest point. -VEC_LON = np.array([ - -175.1883, #Tonga, Nuku'alofa, TON, 776 - 178.433, #Fidji, Suva, FJI, 242 - 18.95, #Norway, Tromso, NOR, 578 - 0, # Ocean, 0 - 166.6778, #Antarctica, McMurdo station, ATA, 010 - -78.5833 #Ecuador, Quito, ECU, 218 +LATLON = np.array([ + [-21.1736, -175.1883], #Tonga, Nuku'alofa, TON, 776 + [-18.133, 178.433], #Fidji, Suva, FJI, 242 IN WATER IN NATURAL EARTH + [-38.4689, 177.8642], #New-Zealand, Te Karaka, NZL, 554 + [69.6833, 18.95], #Norway, Tromso, NOR, 578 IN WATER IN NATURAL EARTH + [78.84422, 20.82842], #Norway, Svalbard, NOR, 578 + [1, 1], # Ocean, 0 (0,0 is onland in Natural earth for testing reasons) + [-77.85, 166.6778], #Antarctica, McMurdo station, ATA, 010 + [-0.25, -78.5833] #Ecuador, Quito, ECU, 218 ]) -VEC_LAT = np.array([ - -21.1736, #Tonga, Nuku'alofa - -18.133, #Fidji, Suvaå - 69.6833, #Norway, Tromso - 0, #Ocean - -77.85, #Antarctica, McMurdo station - -0.25, #Ecuador, Quito -]) +VEC_LAT = LATLON[:,0] +VEC_LON = LATLON[:,1] -ON_LAND = np.array([True, True, True, False, True, True]) -REGION_ID = np.array([776, 242, 578, 0, 10, 218]) +ON_LAND = np.array([True, False, True, False, True, False, True, True]) +REGION_ID = np.array([776, 0, 554, 0, 578, 0, 10, 218]) TEST_CRS = 'EPSG:4326' ALT_CRS = 'epsg:32632' #Europe From bfcfc01f709cd67131baebe56532203e1031852d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 6 Dec 2023 16:50:29 +0100 Subject: [PATCH 084/192] Auto stash before merge of "feature/centroids_as_gdf" and "origin/feature/centroids_as_gdf" --- climada/hazard/centroids/centr.py | 5 +++++ climada/hazard/centroids/test/test_vec_ras.py | 21 ++++++++++++++----- 2 files changed, 21 insertions(+), 5 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1bcf58a94e..44fc9e606d 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -247,6 +247,11 @@ def from_geodataframe(cls, gdf): Centroids Centroids built from the geodataframe. """ + if gdf.crs: + crs = gdf.crs + else: + crs = DEF_CRS + return cls( longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 8e45f08c65..85a93ac1dc 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -69,8 +69,19 @@ def test_init_pass(self): """Test from_lat_lon""" self.assertTrue(np.allclose(self.centr.lat, VEC_LAT)) self.assertTrue(np.allclose(self.centr.lon, VEC_LON)) - self.assertTrue(u_coord.equal_crs(self.centr.crs, DEF_CRS)) - self.assertTrue(u_coord.equal_crs(self.centr.geometry.crs, DEF_CRS)) + self.assertTrue(u_coord.equal_crs(self.centr.crs, TEST_CRS)) + + # Test default crs and other inputs + EXTRA_COL = np.ones_like(VEC_LAT) + centr = Centroids( + latitude=VEC_LAT,longitude=VEC_LON, + region_id = REGION_ID, on_land=ON_LAND, + extra_col = EXTRA_COL) + self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) + self.assertTrue(np.allclose(centr.region_id, REGION_ID)) + self.assertTrue(np.allclose(centr.on_land, ON_LAND)) + self.assertTrue(np.allclose(centr.gdf.extra_col.values, EXTRA_COL)) + def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" @@ -79,11 +90,11 @@ def test_ne_crs_geom_pass(self): def test_dist_coast_pass(self): """Test set_dist_coast""" - dist_coast = self.centr.get_dist_coast()\ + dist_coast = self.centr.get_dist_coast() # Just checking that the output doesnt change over time. REF_VALUES = np.array([ - 5.55578093e+05, 1.64066475e+03, 2.00703835e+03, - 4.82264614e+02, 4.50037266e+03, 1.08610274e+05 + 1605.243, 603.261, 26112.239, 2228.629, 7207.817, + 156271.372, 661.114, 158184.4 ]) np.testing.assert_array_almost_equal(dist_coast, REF_VALUES, decimal=3) From 4a4aed764f768fdde76158241c56752dc4f4d3e9 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 6 Dec 2023 16:59:47 +0100 Subject: [PATCH 085/192] Update distance and area tests --- climada/hazard/centroids/test/test_vec_ras.py | 24 ++++++++----------- 1 file changed, 10 insertions(+), 14 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 85a93ac1dc..42cdf21bc3 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -134,23 +134,19 @@ def test_area_pass(self): 'lon': xx.flatten(), 'lat': yy.flatten(), }, crs={'proj': 'cea'}) - - area_pixel = self.centr.get_area_pixel() - self.assertTrue(np.allclose(area_pixel, np.ones(self.centr.size))) - - def test_size_pass(self): - """Test size property""" - centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON) - self.assertEqual(centr.size, len(VEC_LAT)) + centr = Centroids.from_geodataframe(vec_data) + area_pixel = centr.get_area_pixel() + self.assertTrue(np.allclose(area_pixel, np.ones(centr.size))) def test_get_closest_point(self): """Test get_closest_point""" - x, y, idx = self.centr.get_closest_point(-58.13, 14.38) - self.assertAlmostEqual(x, -58.125) - self.assertAlmostEqual(y, 14.375) - self.assertEqual(idx, 295) - self.assertEqual(self.centr.lon[idx], x) - self.assertEqual(self.centr.lat[idx], y) + for n, (lat, lon) in enumerate(LATLON): + x, y, idx = self.centr.get_closest_point(lon*0.99, lat*1.01) + self.assertAlmostEqual(x, lon) + self.assertAlmostEqual(y, lat) + self.assertEqual(idx, n) + self.assertEqual(self.centr.lon[n], x) + self.assertEqual(self.centr.lat[n], y) def test_append_pass(self): """Append points""" From 44609552e52ad50a5eebf67ab3cff7bda6966c92 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 6 Dec 2023 17:04:18 +0100 Subject: [PATCH 086/192] Update set crs in load vector shape file --- climada/hazard/centroids/centr.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 44fc9e606d..386296c315 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -668,6 +668,7 @@ def from_vector_file(cls, file_name, dst_crs=None): vector file with format supported by fiona and 'geometry' field. dst_crs : crs, optional reproject to given crs + If not crs is given in the file, simply sets the crs. Returns ------- @@ -677,7 +678,10 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids = cls.from_geodataframe(gpd.read_file(file_name)) if dst_crs is not None: - centroids.gdf.to_crs(dst_crs, inplace=True) + if centroids.crs: + centroids.gdf.to_crs(dst_crs, inplace=True) + else: + centroids.gdf.set_crs(dst_crs, inplace=True) return centroids #TODO: Check whether other variables are necessary, e.g. dist to coast From 37c54ea57a46e157b78d22ae5a8727916b460846 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 6 Dec 2023 17:07:07 +0100 Subject: [PATCH 087/192] centr.Centroids.from_excel: deal with region_id column --- climada/hazard/centroids/centr.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1bcf58a94e..8b6fbc4f02 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -744,6 +744,9 @@ def from_excel(cls, file_name, crs=None, var_names=None): geometry = gpd.points_from_xy(df[var_names['col_name']['lon']], df[var_names['col_name']['lat']]) gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + region_column = var_names['col_name'].get('region_id') + if region_column and region_column in df.columns.values: + gdf['region_id'] = df[region_column] return cls.from_geodataframe(gdf) def write_hdf5(self, file_name, mode='w'): From b02ae1d7d1f07e6b20beb64c4c4f070f71a204cf Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 10:36:10 +0100 Subject: [PATCH 088/192] Fix write hazard raster with centroids.get_meta --- climada/hazard/base.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index d65fa6c500..267efafba6 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1688,15 +1688,17 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): f"The variable {variable} is not valid. Please use 'intensity' or 'fraction'." ) - centroids = self.centroids - - meta = centroids.get_meta(self, resolution=output_resolution) + meta = self.centroids.get_meta(resolution=output_resolution) meta.update(driver='GTiff', dtype=rasterio.float32, count=self.size) + res = meta["transform"][0] # resolution from lon coordinates - if rows*cols == centroids.shape[0]: + if meta['height'] * meta['width'] == self.centroids.shape[0]: + #If centroids already in raster format u_coord.write_raster(file_name, var_to_write.toarray(), meta) else: - geometry = centroids.gdf.geometry.buffer(distance=res/2, resolution=1, cap_style=3) + geometry = self.centroids.gdf.geometry.buffer( + distance=res/2, resolution=1, cap_style=3 + ) #resolution=1, cap_style=3: squared buffers #https://shapely.readthedocs.io/en/latest/manual.html#object.buffer with rasterio.open(file_name, 'w', **meta) as dst: From b3448d0173d13d8668a3d9482b28316d1e0b0ecb Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 12:26:23 +0100 Subject: [PATCH 089/192] Area pixel now correctly uses CEA --- climada/hazard/centroids/centr.py | 5 ++--- climada/hazard/centroids/test/test_vec_ras.py | 21 +++++++++++++++---- 2 files changed, 19 insertions(+), 7 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index e5a4f93a3b..37d824d56f 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -581,10 +581,9 @@ def get_area_pixel(self, min_resol=1.0e-8): climada.util.coordinates.get_resolution """ - res = u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol) - res = np.abs(res).min() + res = np.abs(u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol)).min() LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) - xy_pixels = self.geometry.buffer(res / 2).envelope + xy_pixels = self.geometry.buffer(res / 2, resolution=1, cap_style=3).envelope if PROJ_CEA == self.geometry.crs: area_pixel = xy_pixels.area.values else: diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 42cdf21bc3..aa1a2c9dc7 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -235,12 +235,25 @@ def test_on_land(self): def test_area_pass(self): """Test set_area""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - #centr_ras.meta['crs'] = {'proj': 'cea'} + window_size = (0, 0, 2, 3) + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(*window_size)) area_pixel = centr_ras.get_area_pixel() + + # Result in the crs of the test file (ESPG:4326) + # This is a wrong result as it should be projected to CEA (for correct area) + res = 0.009000000000000341 + self.assertFalse( + np.allclose(area_pixel, np.ones(window_size[2] * window_size[3]) * res ** 2) + ) + + # Correct result in CEA results in unequal pixel area + test_area = np.array([ + 981010.32497514, 981010.3249724 , 981037.92674855, + 981037.92674582, 981065.50487659, 981065.50487385 + ]) self.assertTrue( - np.allclose(area_pixel, - np.ones(60 * 50) * 0.009000000000000341 * 0.009000000000000341)) + np.allclose(area_pixel, test_area) + ) def test_size_pass(self): """Test size property""" From 2beb6a355fd75adfd894f7f1eff46923a0fad60e Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 12:31:19 +0100 Subject: [PATCH 090/192] Add actual NE CRS test. --- climada/hazard/centroids/centr.py | 2 +- climada/hazard/centroids/test/test_vec_ras.py | 11 +++-------- 2 files changed, 4 insertions(+), 9 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 37d824d56f..88acf6d512 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -859,7 +859,7 @@ def _ne_crs_geom(self): ------- geo : gpd.GeoSeries """ - if u_coord.equal_crs(self.gdf.geometry.crs, u_coord.NE_CRS): + if u_coord.equal_crs(self.gdf.crs, u_coord.NE_CRS): return self.gdf.geometry return self.gdf.geometry.to_crs(u_coord.NE_CRS) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index aa1a2c9dc7..cfc3c59262 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -195,14 +195,9 @@ def test_read_all_pass(self): def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - - xy_vec = centr_ras._ne_crs_geom() - x_vec, y_vec = xy_vec.geometry[:].x.values, xy_vec.geometry[:].y.values - self.assertAlmostEqual(4.51063496489, x_vec[0]) - self.assertAlmostEqual(9.40153761711e-05, y_vec[0]) - self.assertAlmostEqual(4.51063891581, x_vec[-1]) - self.assertAlmostEqual(8.92260922066e-05, y_vec[-1]) + centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=ALT_CRS) + ne_geom = centr._ne_crs_geom() + self.assertTrue(u_coord.equal_crs(ne_geom.crs, u_coord.NE_CRS)) def test_region_id_pass(self): """Test set_dist_coast""" From a7eb166951fae42721d36f437fe34f5c0e69b255 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 12:52:27 +0100 Subject: [PATCH 091/192] Make on_land and region_id always part of centroids --- climada/hazard/centroids/centr.py | 24 ++++++++---------------- 1 file changed, 8 insertions(+), 16 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 88acf6d512..442b949432 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -126,25 +126,21 @@ def __init__( longitude of size size. Defaults to empty array crs : str coordinate reference system - area_pixel : np.array, optional - area of size size. Defaults to empty array on_land : np.array, optional - on land (True) and on sea (False) of size size. Defaults to empty array + on land (True) and on sea (False) of size size. Defaults to None array region_id : np.array, optional - country region code of size size, Defaults to empty array + country region code of size size, Defaults to None array kwargs: columns of values to passed to the geodataframe constructor """ attr_dict = { 'geometry': gpd.points_from_xy(longitude, latitude, crs=crs), + 'region_id': region_id, + 'on_land': on_land } - if region_id is not None: - attr_dict['region_id'] = region_id - if on_land is not None: - attr_dict['on_land'] = on_land if kwargs: attr_dict = dict(**attr_dict, **kwargs) - self.gdf = gpd.GeoDataFrame(data=attr_dict, crs=crs) + self.gdf = gpd.GeoDataFrame(data=attr_dict) @property def lat(self): @@ -160,15 +156,11 @@ def geometry(self): @property def on_land(self): - if 'on_land' in self.gdf.columns.values: - return self.gdf['on_land'] - return None + return self.gdf['on_land'] @property def region_id(self): - if 'region_id' in self.gdf.columns.values: - return self.gdf['region_id'] - return None + return self.gdf['region_id'] @property def crs(self): @@ -255,7 +247,7 @@ def from_geodataframe(cls, gdf): return cls( longitude=gdf.geometry.x.values, latitude=gdf.geometry.y.values, - crs=gdf.crs, + crs=crs, **gdf.drop(columns=['geometry', 'latitude', 'longitude'], errors='ignore').to_dict(orient='list') ) From 147ee0d3385fcd1a266710f1e2998ef1b6371bb4 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 12:52:34 +0100 Subject: [PATCH 092/192] Update docstring --- climada/hazard/centroids/test/test_vec_ras.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index cfc3c59262..78ec749b87 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -38,7 +38,7 @@ # Note: the coordinates are not directly on the cities, the region id and on land -# otherwise do not work correctly. It is only the closest point. +# otherwise do not work correctly. It is only a close point. LATLON = np.array([ [-21.1736, -175.1883], #Tonga, Nuku'alofa, TON, 776 [-18.133, 178.433], #Fidji, Suva, FJI, 242 IN WATER IN NATURAL EARTH From 445194bd789327c87419e929ec49b58b34e3d954 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 12:58:34 +0100 Subject: [PATCH 093/192] Update import path --- climada/hazard/centroids/test/test_vec_ras.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 78ec749b87..50e2d1d709 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -23,7 +23,7 @@ from cartopy.io import shapereader import geopandas as gpd import numpy as np -from pyproj.crs import CRS +from pyproj.crs.crs import CRS import rasterio from rasterio.windows import Window from shapely.geometry.point import Point From 425b9ce5d66d74d234e5b61dfb8c63fa59191b05 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 13:13:52 +0100 Subject: [PATCH 094/192] Add overwrite argument to set region id and on land --- climada/hazard/centroids/centr.py | 46 ++++++++++++++++++------------- climada/hazard/storm_europe.py | 3 +- 2 files changed, 28 insertions(+), 21 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 442b949432..d53fbb9aa7 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -362,28 +362,32 @@ def get_closest_point(self, x_lon, y_lat): close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() return self.lon[close_idx], self.lat[close_idx], close_idx - def set_region_id(self, level='country'): + def set_region_id(self, level='country', overwrite=False): """Set region_id as country ISO numeric code attribute for every pixel or point. Parameters ---------- scheduler : str used for dask map_partitions. “threads”, “synchronous” or “processes” - """ - LOGGER.debug('Setting region_id %s points.', str(self.size)) - if level == 'country': - if u_coord.equal_crs(self.crs, 'epsg:4326'): - self.gdf['region_id'] = u_coord.get_country_code( - self.lat, self.lon) + overwrite : bool + if True, overwrites the existing region_id information. + if False and region_id is None region_id is computed. + """ + if overwrite or self.region_id.isna().all(): + LOGGER.debug('Setting region_id %s points.', str(self.size)) + if level == 'country': + if u_coord.equal_crs(self.crs, 'epsg:4326'): + self.gdf['region_id'] = u_coord.get_country_code( + self.lat, self.lon) + else: + raise NotImplementedError( + 'The region id can only be assigned if the crs is epsg:4326' + 'Please use .to_default_crs to change to epsg:4326' + ) else: raise NotImplementedError( - 'The region id can only be assigned if the crs is epsg:4326' - 'Please use .to_default_crs to change to epsg:4326' + 'The region id can only be assigned for countries so far' ) - else: - raise NotImplementedError( - 'The region id can only be assigned for countries so far' - ) # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER @@ -421,19 +425,23 @@ def get_dist_coast(self, signed=False, precomputed=False): LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) - def set_on_land(self,): + def set_on_land(self, overwrite=False): """Set on_land attribute for every pixel or point. Parameters ---------- scheduler : str used for dask map_partitions. “threads”, “synchronous” or “processes” + overwrite : bool + if True, overwrites the existing on_land information. + if False and on_land is None on_land is computed. """ - if not u_coord.equal_crs(self.crs, 'epsg:4326'): - raise NotImplementedError( - 'The on land property can only be assigned if the crs is epsg:4326' - 'Please use .to_default_crs to change to epsg:4326' - ) + if overwrite or self.on_land.isna().all(): + if not u_coord.equal_crs(self.crs, 'epsg:4326'): + raise NotImplementedError( + 'The on land property can only be assigned if the crs is epsg:4326' + 'Please use .to_default_crs to change to epsg:4326' + ) LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) self.gdf['on_land'] = u_coord.coord_on_land( diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index 68daa8abf1..63db456d9a 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -774,8 +774,7 @@ def generate_prob_storms(self, reg_id=528, spatial_shift=4, ssi_args=None, """ # bool vector selecting the targeted centroids if reg_id is not None: - if not self.centroids.region_id: - self.centroids.set_region_id() + self.centroids.set_region_id(overwrite=False) if not isinstance(reg_id, list): reg_id = [reg_id] sel_cen = np.isin(self.centroids.region_id, reg_id) From b879ca635bb4815701a97cb30b57b56b52553334 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 13:14:04 +0100 Subject: [PATCH 095/192] Remove from base grid method --- climada/hazard/trop_cyclone.py | 7 +------ 1 file changed, 1 insertion(+), 6 deletions(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index 8df455a9ef..2db440e586 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -178,7 +178,7 @@ def set_from_tracks(self, *args, **kwargs): def from_tracks( cls, tracks: TCTracks, - centroids: Optional[Centroids] = None, + centroids: Optional[Centroids], pool: Optional[pathos.pools.ProcessPool] = None, model: str = 'H08', ignore_distance_to_coast: bool = False, @@ -262,11 +262,6 @@ def from_tracks( TropCyclone """ num_tracks = tracks.size - if centroids is None: - centroids = Centroids.from_base_grid(res_as=360, land=False) - - if not centroids.coord.size: - centroids.set_meta_to_lat_lon() if ignore_distance_to_coast: # Select centroids with lat <= max_latitude From d63fc8bd3fa6c723776493da0e0060a872e9f958 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 13:14:11 +0100 Subject: [PATCH 096/192] Fix some linting --- climada/hazard/base.py | 125 +++++++++++++++++++------------------ climada/util/api_client.py | 2 +- 2 files changed, 65 insertions(+), 62 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 267efafba6..b048a2615a 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -341,8 +341,10 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, hazard_kwargs["haz_type"] = haz_type centroids, meta = Centroids.from_raster_file( - files_intensity[0], src_crs=src_crs, window=window, geometry=geometry, dst_crs=dst_crs, - transform=transform, width=width, height=height, resampling=resampling, return_meta=True) + files_intensity[0], src_crs=src_crs, window=window, + geometry=geometry, dst_crs=dst_crs, transform=transform, + width=width, height=height, resampling=resampling, return_meta=True + ) if pool: chunksize = max(min(len(files_intensity) // pool.ncpus, 1000), 1) @@ -367,9 +369,10 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, fraction = sparse.vstack(fract_list, format='csr') else: intensity = _values_from_raster_files( - files_intensity, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, - dst_crs=dst_crs, transform=transform, width=width, height=height, - resampling=resampling) + files_intensity, meta=meta, band=band, src_crs=src_crs, window=window, + geometry=geometry, dst_crs=dst_crs, transform=transform, width=width, + height=height, resampling=resampling + ) if files_fraction is not None: fraction = _values_from_raster_files( files_fraction, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, @@ -2459,62 +2462,62 @@ def _get_fraction(self, cent_idx=None): #Function to read intensity/fraction values from raster files -#No a method to allow for parallel computing +#Not a method to allow for parallel computing def _values_from_raster_files(file_names, meta, band=None, src_crs=None, window=None, - geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): - """Read raster of bands and set 0 values to the masked ones. - - Each band is an event. Select region using window or geometry. Reproject input by proving - dst_crs and/or (transform, width, height). - - Parameters - ---------- - file_names : str - path of the file - meta : dict - description of the centroids raster - band : list(int), optional - band number to read. Default: [1] - src_crs : crs, optional - source CRS. Provide it if error without it. - window : rasterio.windows.Window, optional - window to read - geometry : list of shapely.geometry, optional - consider pixels only within these shapes - dst_crs : crs, optional - reproject to given crs - transform : rasterio.Affine - affine transformation to apply - wdith : float - number of lons for transform - height : float - number of lats for transform - resampling : rasterio.warp,.Resampling optional - resampling function used for reprojection to dst_crs - - Raises - ------ - ValueError + geometry=None, dst_crs=None, transform=None, width=None, + height=None, resampling=Resampling.nearest): + """Read raster of bands and set 0 values to the masked ones. - Returns - ------- - inten : scipy.sparse.csr_matrix - Each row is an event. - """ - if band is None: - band = [1] + Each band is an event. Select region using window or geometry. Reproject input by proving + dst_crs and/or (transform, width, height). - values = [] - for file_name in file_names: - tmp_meta, data = u_coord.read_raster( - file_name, band, src_crs, window, geometry, dst_crs, - transform, width, height, resampling) - if (tmp_meta['crs'] != meta['crs'] - or tmp_meta['transform'] != meta['transform'] - or tmp_meta['height'] != meta['height'] - or tmp_meta['width'] != meta['width']): - raise ValueError('Raster data is inconsistent with contained raster.') - values.append(sparse.csr_matrix(data)) - - return sparse.vstack(values, format='csr') + Parameters + ---------- + file_names : str + path of the file + meta : dict + description of the centroids raster + band : list(int), optional + band number to read. Default: [1] + src_crs : crs, optional + source CRS. Provide it if error without it. + window : rasterio.windows.Window, optional + window to read + geometry : list of shapely.geometry, optional + consider pixels only within these shapes + dst_crs : crs, optional + reproject to given crs + transform : rasterio.Affine + affine transformation to apply + wdith : float + number of lons for transform + height : float + number of lats for transform + resampling : rasterio.warp,.Resampling optional + resampling function used for reprojection to dst_crs + + Raises + ------ + ValueError + + Returns + ------- + inten : scipy.sparse.csr_matrix + Each row is an event. + """ + if band is None: + band = [1] + + values = [] + for file_name in file_names: + tmp_meta, data = u_coord.read_raster( + file_name, band, src_crs, window, geometry, dst_crs, + transform, width, height, resampling) + if (tmp_meta['crs'] != meta['crs'] + or tmp_meta['transform'] != meta['transform'] + or tmp_meta['height'] != meta['height'] + or tmp_meta['width'] != meta['width']): + raise ValueError('Raster data is inconsistent with contained raster.') + values.append(sparse.csr_matrix(data)) + + return sparse.vstack(values, format='csr') diff --git a/climada/util/api_client.py b/climada/util/api_client.py index eb1ac17d25..b991ad11ac 100644 --- a/climada/util/api_client.py +++ b/climada/util/api_client.py @@ -1077,7 +1077,7 @@ def get_dataset_file(self, **kwargs): """Convenience method. Combines ``get_dataset`` and ``download_dataset``. Returns the path to a single file if the dataset has only one, otherwise throws an error. - + Parameters ---------- **kwargs From 70928bd3b169b3dca95a2266308713488d4381d6 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 13:47:50 +0100 Subject: [PATCH 097/192] Add some docstrings --- climada/hazard/centroids/centr.py | 36 ++++++++++++++++--------------- 1 file changed, 19 insertions(+), 17 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index d53fbb9aa7..69710b8b52 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -92,16 +92,11 @@ class Centroids(): longitudes in the chosen crs (can be any unit) crs : str, optional coordinate reference system, default is WGS84 - area_pixel : np.array, optional - areas - dist_coast : np.array, optional - distances to coast - on_land : np.array, optional - on land (True) and on sea (False) region_id : np.array, optional region numeric codes - elevation : np.array, optional - elevations + (can be any values, admin0, admin1, custom values) + on_land : np.array, optional + on land (True) and on sea (False) kwargs: dicts of np.arrays, optional any further desired properties of centroids. Is passed to the GeoDataFrame constructor @@ -126,10 +121,10 @@ def __init__( longitude of size size. Defaults to empty array crs : str coordinate reference system - on_land : np.array, optional - on land (True) and on sea (False) of size size. Defaults to None array region_id : np.array, optional country region code of size size, Defaults to None array + on_land : np.array, optional + on land (True) and on sea (False) of size size. Defaults to None array kwargs: columns of values to passed to the geodataframe constructor """ @@ -143,31 +138,38 @@ def __init__( self.gdf = gpd.GeoDataFrame(data=attr_dict) @property - def lat(self): + def lat(self) -> numpy.ndarray: + """ Returns the latitudes """ return self.gdf.geometry.y.values @property - def lon(self): + def lon(self) -> numpy.ndarray: + """ Returns the longitudes """ return self.gdf.geometry.x.values @property - def geometry(self): + def geometry(self) -> Shapely.geometry.GeometryCollection: + """ Return the geometry """ return self.gdf['geometry'] @property - def on_land(self): + def on_land(self) -> numpy.ndarray: + """ Get the on_land property """ return self.gdf['on_land'] @property - def region_id(self): + def region_id(self) -> numpy.ndarray: + """ Get the assigned region_id.""" return self.gdf['region_id'] @property - def crs(self): + def crs(self) -> pyproj.CRS: + """ Get the crs""" return self.gdf.crs @property - def size(self): + def size(self) -> int: + """Get size (number of lat/lon paris)""" return self.gdf.shape[0] @property From b97491c1aa791d05e45507fb99fa181cebf51d2f Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 14:21:42 +0100 Subject: [PATCH 098/192] Avoid costly computation in from geodataframe --- climada/hazard/centroids/centr.py | 79 ++++++++++++++----------------- 1 file changed, 35 insertions(+), 44 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 69710b8b52..4674a82825 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -138,37 +138,37 @@ def __init__( self.gdf = gpd.GeoDataFrame(data=attr_dict) @property - def lat(self) -> numpy.ndarray: + def lat(self): """ Returns the latitudes """ return self.gdf.geometry.y.values @property - def lon(self) -> numpy.ndarray: + def lon(self): """ Returns the longitudes """ return self.gdf.geometry.x.values @property - def geometry(self) -> Shapely.geometry.GeometryCollection: + def geometry(self): """ Return the geometry """ return self.gdf['geometry'] @property - def on_land(self) -> numpy.ndarray: + def on_land(self): """ Get the on_land property """ return self.gdf['on_land'] @property - def region_id(self) -> numpy.ndarray: + def region_id(self): """ Get the assigned region_id.""" return self.gdf['region_id'] @property - def crs(self) -> pyproj.CRS: + def crs(self): """ Get the crs""" return self.gdf.crs @property - def size(self) -> int: + def size(self): """Get size (number of lat/lon paris)""" return self.gdf.shape[0] @@ -241,18 +241,21 @@ def from_geodataframe(cls, gdf): Centroids Centroids built from the geodataframe. """ + if np.any(geom.geom_type != 'Point'): + raise ValueError( + 'The inpute geodataframe contains geometries' + ' that are not points.' + ) + if gdf.crs: crs = gdf.crs else: crs = DEF_CRS - return cls( - longitude=gdf.geometry.x.values, - latitude=gdf.geometry.y.values, - crs=crs, - **gdf.drop(columns=['geometry', 'latitude', 'longitude'], - errors='ignore').to_dict(orient='list') - ) + centroids = cls(latitude=[1], longitude=[1], crs=crs) + centroids.gdf = gdf.to_crs(crs) + + return centroids @classmethod def from_exposures(cls, exposures): @@ -270,7 +273,10 @@ def from_exposures(cls, exposures): Centroids Centroids built from the exposures """ - gdf = exposures.gdf[['geometry', 'region_id']] + if 'region_id' in exposures.gdf.columns: + gdf = exposures.gdf[['geometry', 'region_id']] + else: + gdf = exposures.gdf[['geometry']] return cls.from_geodataframe(gdf) @classmethod @@ -369,8 +375,9 @@ def set_region_id(self, level='country', overwrite=False): Parameters ---------- - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” + level: str + defines the admin level on which to assign centroids. Currently + only 'country' (admin0) is implemented. Default is 'country'. overwrite : bool if True, overwrites the existing region_id information. if False and region_id is None region_id is computed. @@ -378,14 +385,10 @@ def set_region_id(self, level='country', overwrite=False): if overwrite or self.region_id.isna().all(): LOGGER.debug('Setting region_id %s points.', str(self.size)) if level == 'country': - if u_coord.equal_crs(self.crs, 'epsg:4326'): - self.gdf['region_id'] = u_coord.get_country_code( - self.lat, self.lon) - else: - raise NotImplementedError( - 'The region id can only be assigned if the crs is epsg:4326' - 'Please use .to_default_crs to change to epsg:4326' - ) + ne_geom = self._ne_crs_geom() + self.gdf['region_id'] = u_coord.get_country_code( + ne_geom.y.values, ne_geom.x.values + ) else: raise NotImplementedError( 'The region id can only be assigned for countries so far' @@ -414,16 +417,11 @@ def get_dist_coast(self, signed=False, precomputed=False): If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 Default: False. """ - if not u_coord.equal_crs(self.crs, 'epsg:4326'): - raise NotImplementedError( - 'The distance to coast can only be assigned if the crs is epsg:4326' - 'Please use .to_default_crs to change to epsg:4326' - ) + ne_geom = self._ne_crs_geom() if precomputed: return u_coord.dist_to_coast_nasa( - self.lat, self.lon, highres=True, signed=signed) + ne_geom.y.values, ne_geom.x.values, highres=True, signed=signed) else: - ne_geom = self._ne_crs_geom() LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) @@ -432,23 +430,16 @@ def set_on_land(self, overwrite=False): Parameters ---------- - scheduler : str - used for dask map_partitions. “threads”, “synchronous” or “processes” overwrite : bool if True, overwrites the existing on_land information. if False and on_land is None on_land is computed. """ if overwrite or self.on_land.isna().all(): - if not u_coord.equal_crs(self.crs, 'epsg:4326'): - raise NotImplementedError( - 'The on land property can only be assigned if the crs is epsg:4326' - 'Please use .to_default_crs to change to epsg:4326' - ) - - LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) - self.gdf['on_land'] = u_coord.coord_on_land( - self.lat, self.lon - ) + LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) + ne_geom = self._ne_crs_geom() + self.gdf['on_land'] = u_coord.coord_on_land( + ne_geom.y.values, ne_geom.x.values + ) @classmethod def remove_duplicate_points(cls, centroids): From d9e98cebf3fd27a241224eee44c312e49971be24 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 14:22:50 +0100 Subject: [PATCH 099/192] Add comment --- climada/hazard/centroids/centr.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 4674a82825..3184390301 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -252,6 +252,10 @@ def from_geodataframe(cls, gdf): else: crs = DEF_CRS + ''' + This is a bit ugly, but avoids to recompute the geometries + in the init. For large datasets this saves computation time + ''' centroids = cls(latitude=[1], longitude=[1], crs=crs) centroids.gdf = gdf.to_crs(crs) From 274cf20f7388b2f410a76941f1814140f89ca5e5 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 14:27:42 +0100 Subject: [PATCH 100/192] Fix typo --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 3184390301..9e6e5a8093 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -241,7 +241,7 @@ def from_geodataframe(cls, gdf): Centroids Centroids built from the geodataframe. """ - if np.any(geom.geom_type != 'Point'): + if np.any(gdf.geom_type != 'Point'): raise ValueError( 'The inpute geodataframe contains geometries' ' that are not points.' From 42634bb4fff7575d7ae7d314018b0f251f91f741 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 14:58:29 +0100 Subject: [PATCH 101/192] Fix set crs in from geodataframe --- climada/hazard/centroids/centr.py | 18 ++++++------------ 1 file changed, 6 insertions(+), 12 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 9e6e5a8093..f31d4f7ee8 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -247,18 +247,12 @@ def from_geodataframe(cls, gdf): ' that are not points.' ) - if gdf.crs: - crs = gdf.crs - else: - crs = DEF_CRS - - ''' - This is a bit ugly, but avoids to recompute the geometries - in the init. For large datasets this saves computation time - ''' - centroids = cls(latitude=[1], longitude=[1], crs=crs) - centroids.gdf = gdf.to_crs(crs) - + # This is a bit ugly, but avoids to recompute the geometries + # in the init. For large datasets this saves computation time + centroids = cls(latitude=[1], longitude=[1]) + centroids.gdf = gdf + if not gdf.crs: + centroids.gdf.set_crs(DEF_CRS, inplace=True) return centroids @classmethod From 872789515ef08af30e89cb60d8d6f8c534ddbeed Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 15:49:48 +0100 Subject: [PATCH 102/192] Make properties return arrays and not series --- climada/hazard/centroids/centr.py | 6 +++--- climada/hazard/storm_europe.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index f31d4f7ee8..99116abebf 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -150,17 +150,17 @@ def lon(self): @property def geometry(self): """ Return the geometry """ - return self.gdf['geometry'] + return self.gdf['geometry'].values @property def on_land(self): """ Get the on_land property """ - return self.gdf['on_land'] + return self.gdf['on_land'].values @property def region_id(self): """ Get the assigned region_id.""" - return self.gdf['region_id'] + return self.gdf['region_id'].values @property def crs(self): diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index 63db456d9a..f2aa56988e 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -662,7 +662,7 @@ def calc_ssi(self, method='dawkins', intensity=None, on_land=True, if sel_cen is not None: pass elif on_land is True: - sel_cen = cent.on_land + sel_cen = cent.on_land.astype(bool) else: # select all centroids sel_cen = np.ones_like(area_pixel, dtype=bool) From 429e74c42903d359414738201a7dd4cc0f6f402f Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 16:16:03 +0100 Subject: [PATCH 103/192] Remove not needed matlab vars --- climada/hazard/centroids/centr.py | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 99116abebf..933214a595 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -44,20 +44,6 @@ PROJ_CEA = CRS.from_user_input({'proj': 'cea'}) -DEF_VAR_MAT = { - 'field_names': ['centroids', 'hazard'], - 'var_name': { - 'lat': 'lat', - 'lon': 'lon', - 'dist_coast': 'distance2coast_km', - 'admin0_name': 'admin0_name', - 'admin0_iso3': 'admin0_ISO3', - 'comment': 'comment', - 'region_id': 'NatId' - } -} -"""MATLAB variable names""" - DEF_VAR_EXCEL = { 'sheet_name': 'centroids', 'col_name': { From fb7c7cc3bd86e45cbb428a3804f73b8a33c02ae8 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 7 Dec 2023 16:58:55 +0100 Subject: [PATCH 104/192] Revert return numpy arrays. --- climada/hazard/centroids/centr.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 933214a595..40607dc266 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -136,17 +136,17 @@ def lon(self): @property def geometry(self): """ Return the geometry """ - return self.gdf['geometry'].values + return self.gdf['geometry'] @property def on_land(self): """ Get the on_land property """ - return self.gdf['on_land'].values + return self.gdf['on_land'] @property def region_id(self): """ Get the assigned region_id.""" - return self.gdf['region_id'].values + return self.gdf['region_id'] @property def crs(self): From dd212dbbcaf49d3874704e15b645cc4a4a5ed88e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Fri, 8 Dec 2023 09:08:42 +0100 Subject: [PATCH 105/192] update from excel --- climada/hazard/centroids/centr.py | 15 +++++++-------- 1 file changed, 7 insertions(+), 8 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1d6d4cfa3f..79d16a9b2d 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -704,12 +704,14 @@ def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): var_names = DEF_VAR_CSV df = pd.read_csv(file_path) + return cls(longitude=df[var_names['lon']], latitude=df[var_names['lat']], crs=crs) + #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod - def from_excel(cls, file_name, crs=None, var_names=None): + def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. Parameters @@ -730,25 +732,22 @@ def from_excel(cls, file_name, crs=None, var_names=None): centr : Centroids Centroids with data from the given excel file """ - if crs is None: - crs = DEF_CRS if var_names is None: var_names = DEF_VAR_EXCEL try: - df = pd.read_excel(file_name, var_names['sheet_name']) + df = pd.read_excel(file_path, var_names['sheet_name']) except KeyError as err: raise KeyError(f"Not existing variable: {err}") from err - geometry = gpd.points_from_xy(df[var_names['col_name']['lon']], - df[var_names['col_name']['lat']]) - gdf = gpd.GeoDataFrame(df, crs=crs, geometry=geometry) + region_column = var_names['col_name'].get('region_id') if region_column and region_column in df.columns.values: gdf['region_id'] = df[region_column] - return cls.from_geodataframe(gdf) + + return cls(longitude=df[var_names['col_name']['lon']], latitude=[var_names['col_name']['lat']], crs=crs) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format From 164e6895362d9e8fb47eba1be3ccc683b02f8fb3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Fri, 8 Dec 2023 11:17:32 +0100 Subject: [PATCH 106/192] update from_excel and from_csv --- climada/hazard/centroids/centr.py | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index ad1ac33771..fc8eb28be7 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -684,12 +684,10 @@ def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): var_names = DEF_VAR_CSV df = pd.read_csv(file_path) - return cls(longitude=df[var_names['lon']], latitude=df[var_names['lat']], crs=crs) - + df = df.rename(columns=var_names) + return cls(**dict(df.items()), crs=crs) - - #TODO: this method is badly written but kept for backwards compatibility. It should be improved. @classmethod def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. @@ -722,12 +720,11 @@ def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): except KeyError as err: raise KeyError(f"Not existing variable: {err}") from err - - region_column = var_names['col_name'].get('region_id') - if region_column and region_column in df.columns.values: - gdf['region_id'] = df[region_column] + for key, value in var_names.items(): + if isinstance(value, dict): + df.rename(columns=value, inplace=True) - return cls(longitude=df[var_names['col_name']['lon']], latitude=[var_names['col_name']['lat']], crs=crs) + return cls(**dict(df.items()), crs=crs) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format From 4079f3fa20f2c7024af3446f4d9b559e9a7f9d96 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 8 Dec 2023 15:28:53 +0100 Subject: [PATCH 107/192] centroids.centr: from_excel fix column renaming and adapt to "new argument names" --- climada/hazard/centroids/centr.py | 23 ++++++++++------------- 1 file changed, 10 insertions(+), 13 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index fc8eb28be7..c67559b304 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -48,8 +48,8 @@ 'sheet_name': 'centroids', 'col_name': { 'region_id': 'region_id', - 'lat': 'latitude', - 'lon': 'longitude', + 'latitude': 'latitude', + 'longitude': 'longitude', 'on_land': 'on_land', 'dist_coast': 'dist_coast', 'elevation': 'elevation', @@ -713,18 +713,15 @@ def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): if var_names is None: var_names = DEF_VAR_EXCEL + else: + assert isinstance(var_names, dict), 'var_names must be a dict' + assert 'sheet_name' in var_names, 'sheet_name must be a key in the var_names dict' + assert 'col_name' in var_names, 'col_name must be a key in the var_names dict' - try: - df = pd.read_excel(file_path, var_names['sheet_name']) - - except KeyError as err: - raise KeyError(f"Not existing variable: {err}") from err - - for key, value in var_names.items(): - if isinstance(value, dict): - df.rename(columns=value, inplace=True) - - return cls(**dict(df.items()), crs=crs) + data = pd.read_excel(file_path, var_names['sheet_name']).rename( + columns={val: key for key, val in var_names['col_name'].items()} + ) + return cls(**dict(data.items()), crs=crs) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format From dd7e4cdf54ff85ab4346f2e4851d70c4628a0d56 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 8 Dec 2023 16:45:13 +0100 Subject: [PATCH 108/192] Centroids.from_excel fix: switch key,val in test_storm_europe rather than in centr! --- climada/hazard/centroids/centr.py | 6 +++--- climada/hazard/test/test_storm_europe.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index c67559b304..589c9099b8 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -48,8 +48,8 @@ 'sheet_name': 'centroids', 'col_name': { 'region_id': 'region_id', - 'latitude': 'latitude', - 'longitude': 'longitude', + 'lat': 'latitude', + 'lon': 'longitude', 'on_land': 'on_land', 'dist_coast': 'dist_coast', 'elevation': 'elevation', @@ -719,7 +719,7 @@ def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): assert 'col_name' in var_names, 'col_name must be a key in the var_names dict' data = pd.read_excel(file_path, var_names['sheet_name']).rename( - columns={val: key for key, val in var_names['col_name'].items()} + columns=var_names['col_name'] ) return cls(**dict(data.items()), crs=crs) diff --git a/climada/hazard/test/test_storm_europe.py b/climada/hazard/test/test_storm_europe.py index e6927e1852..5a26de092f 100644 --- a/climada/hazard/test/test_storm_europe.py +++ b/climada/hazard/test/test_storm_europe.py @@ -66,7 +66,7 @@ def test_read_with_cent(self): """Test from_footprints while passing in a Centroids object""" var_names = copy.deepcopy(DEF_VAR_EXCEL) var_names['sheet_name'] = 'fp_centroids-test' - var_names['col_name']['region_id'] = 'iso_n3' + var_names['col_name']['iso_n3'] = 'region_id' test_centroids = Centroids.from_excel( DATA_DIR.joinpath('fp_centroids-test.xls'), var_names=var_names From f6b72eddd11410ad2f2a4f4a12c51ec05d007663 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 11 Dec 2023 11:32:24 +0100 Subject: [PATCH 109/192] Return numpy arrays instead of series --- climada/hazard/centroids/centr.py | 43 +++++++++++++++++++++++-------- 1 file changed, 32 insertions(+), 11 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 589c9099b8..06f8eb83a7 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -141,12 +141,16 @@ def geometry(self): @property def on_land(self): """ Get the on_land property """ - return self.gdf['on_land'] + if self.gdf.on_land.isna().all(): + return None + return self.gdf['on_land'].values @property def region_id(self): """ Get the assigned region_id.""" - return self.gdf['region_id'] + if self.gdf.region_id.isna().all(): + return None + return self.gdf['region_id'].values @property def crs(self): @@ -257,11 +261,28 @@ def from_exposures(cls, exposures): Centroids Centroids built from the exposures """ - if 'region_id' in exposures.gdf.columns: - gdf = exposures.gdf[['geometry', 'region_id']] - else: - gdf = exposures.gdf[['geometry']] - return cls.from_geodataframe(gdf) + col_names = [ + column + for column in exposures.gdf.columns + if column in ['region_id', 'on_land'] + ] + + # Legacy behaviour + # Exposures can be without geometry column + #TODO: remove once exposures is real geodataframe with geometry. + if 'geometry' in exposures.gdf.columns: + col_names += ['geometry'] + gdf = exposures.gdf[col_names] + return cls.from_geodataframe(gdf) + + if 'latitude' in exposures.gdf.columns and 'longitude' in exposures.gdf.columns: + gdf = exposures.gdf[col_names] + return cls( + latitude = exposures.gdf['latitude'], + longitude = exposures.gdf['longitude'], + crs = exposures.crs, + **dict(gdf.items()) + ) @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): @@ -366,7 +387,7 @@ def set_region_id(self, level='country', overwrite=False): if True, overwrites the existing region_id information. if False and region_id is None region_id is computed. """ - if overwrite or self.region_id.isna().all(): + if overwrite or self.region_id is None: LOGGER.debug('Setting region_id %s points.', str(self.size)) if level == 'country': ne_geom = self._ne_crs_geom() @@ -418,7 +439,7 @@ def set_on_land(self, overwrite=False): if True, overwrites the existing on_land information. if False and on_land is None on_land is computed. """ - if overwrite or self.on_land.isna().all(): + if overwrite or self.on_land is None: LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) ne_geom = self._ne_crs_geom() self.gdf['on_land'] = u_coord.coord_on_land( @@ -686,8 +707,8 @@ def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): df = pd.read_csv(file_path) df = df.rename(columns=var_names) return cls(**dict(df.items()), crs=crs) - - + + @classmethod def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): """Generate a new centroids object from an excel file with column names in var_names. From 61f3c6b5066329217c2d81997fa73a94221ac592 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 12 Dec 2023 12:11:47 +0100 Subject: [PATCH 110/192] Add some basic tests --- climada/hazard/centroids/test/test_centr.py | 81 ++++++++++++++++++++- 1 file changed, 79 insertions(+), 2 deletions(-) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index a8de7c55d4..434779cc16 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -28,10 +28,86 @@ from climada import CONFIG from climada.hazard.centroids.centr import Centroids from climada.util.constants import HAZ_TEMPLATE_XLS -import climada.hazard.test as hazard_test from climada.util.constants import DEF_CRS import climada.util.coordinates as u_coord +import unittest +import numpy as np +import geopandas as gpd + + +class TestCentroidsData(unittest.TestCase): + + def test_init(self): + # Creating Centroids with latitude and longitude arrays + lat = np.array([10.0, 20.0, 30.0]) + lon = np.array([-10.0, -20.0, -30.0]) + centroids = Centroids(latitude=lat, longitude=lon) + + # Checking attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) + + # Creating Centroids with additional properties + region_id = np.array([1, 2, 3]) + on_land = np.array([True, False, False]) + centroids = Centroids(lat, lon, region_id=region_id, on_land=on_land) + + # Checking additional attributes + np.testing.assert_array_equal(centroids.region_id, region_id) + np.testing.assert_array_equal(centroids.on_land, on_land) + + def test_from_geodataframe(self): + # Creating a GeoDataFrame with centroids + lat = np.array([10.0, 20.0, 30.0]) + lon = np.array([-10.0, -20.0, -30.0]) + gdf = gpd.GeoDataFrame({'geometry': gpd.points_from_xy(x=lon, y=lat)}) + + # Creating Centroids from GeoDataFrame + centroids = Centroids.from_geodataframe(gdf) + + # Checking attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) + + def test_to_default_crs(self): + # Creating Centroids with non-default CRS + crs = 'epsg:32632' + lat = np.array([-10, 0, 10]) + lon = np.array([-170, -150, -130]) + centroids = Centroids(latitude=lat, longitude=lon, crs=crs) + + self.assertTrue(u_coord.equal_crs(centroids.crs, 'epsg:32632')) + + # Transforming to default CRS + centroids.to_default_crs() + + # Checking CRS after transformation + self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) + + def test_to_crs(self): + # Creating Centroids with non-default CRS + crs = 'epsg:4326' + lat = np.array([-10, 0, 10]) + lon = np.array([-170, -150, -130]) + centroids = Centroids(latitude=lat, longitude=lon, crs=crs) + + # Transforming to another CRS + new_crs = 'epsg:3857' + transformed_centroids = centroids.to_crs(new_crs) + + # Checking CRS after transformation + self.assertTrue(u_coord.equal_crs(transformed_centroids.crs, new_crs)) + self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) + + # Checking coordinates after transformation + expected_lat = np.array([-1118889.974858, 0., 1118889.9748585]) + expected_lon = np.array([-18924313.434857, -16697923.618991, -14471533.803126]) + np.testing.assert_array_almost_equal(transformed_centroids.lat, expected_lat) + np.testing.assert_array_almost_equal(transformed_centroids.lon, expected_lon) + class TestCentroidsReader(unittest.TestCase): """Test read functions Centroids""" @@ -126,6 +202,7 @@ def test_union(self): # Execute Tests if __name__ == "__main__": - TESTS = unittest.TestLoader().loadTestsFromTestCase(TestCentroidsReader) + TESTS = unittest.TestLoader().loadTestsFromTestCase(TestCentroidsData) + TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroidsReader)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroidsMethods)) unittest.TextTestRunner(verbosity=2).run(TESTS) From adce3c183d08da5ebe928e830880426a506b9fa1 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 12 Dec 2023 13:00:44 +0100 Subject: [PATCH 111/192] Add tests for meta --- climada/hazard/centroids/centr.py | 4 +- climada/hazard/centroids/test/test_centr.py | 128 +++++++++++++++++--- 2 files changed, 110 insertions(+), 22 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 06f8eb83a7..524959ab04 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -239,7 +239,7 @@ def from_geodataframe(cls, gdf): # This is a bit ugly, but avoids to recompute the geometries # in the init. For large datasets this saves computation time - centroids = cls(latitude=[1], longitude=[1]) + centroids = cls(latitude=[1], longitude=[1]) #make "empty" centroids centroids.gdf = gdf if not gdf.crs: centroids.gdf.set_crs(DEF_CRS, inplace=True) @@ -254,7 +254,7 @@ def from_exposures(cls, exposures): ---------- exposures : Exposure exposures from which to take the centroids location - and region_id (if defined) + and region_id (if defined) and on_land (if defined) Returns ------- diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 434779cc16..6c63b5088f 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -22,18 +22,16 @@ from pathlib import Path import numpy as np -import pandas as pd import geopandas as gpd +import shapely from climada import CONFIG from climada.hazard.centroids.centr import Centroids from climada.util.constants import HAZ_TEMPLATE_XLS from climada.util.constants import DEF_CRS import climada.util.coordinates as u_coord - -import unittest -import numpy as np -import geopandas as gpd +from climada.entity import Exposures +from rasterio import Affine class TestCentroidsData(unittest.TestCase): @@ -58,20 +56,6 @@ def test_init(self): np.testing.assert_array_equal(centroids.region_id, region_id) np.testing.assert_array_equal(centroids.on_land, on_land) - def test_from_geodataframe(self): - # Creating a GeoDataFrame with centroids - lat = np.array([10.0, 20.0, 30.0]) - lon = np.array([-10.0, -20.0, -30.0]) - gdf = gpd.GeoDataFrame({'geometry': gpd.points_from_xy(x=lon, y=lat)}) - - # Creating Centroids from GeoDataFrame - centroids = Centroids.from_geodataframe(gdf) - - # Checking attributes - np.testing.assert_array_equal(centroids.lat, lat) - np.testing.assert_array_equal(centroids.lon, lon) - self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) - def test_to_default_crs(self): # Creating Centroids with non-default CRS crs = 'epsg:32632' @@ -124,7 +108,7 @@ def test_centroid_pass(self): self.assertEqual(centroids.coord[n_centroids - 1][0], -24.7) self.assertEqual(centroids.coord[n_centroids - 1][1], 33.88) - def test_geodataframe(self): + def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" crs = DEF_CRS lat = np.arange(170, 180) @@ -146,6 +130,84 @@ def test_geodataframe(self): np.testing.assert_array_equal(extra, centroids.gdf.extra.values) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) + def test_from_geodataframe_invalid(self): + + # Creating an invalid GeoDataFrame with geometries that are not points + invalid_geometry_gdf = gpd.GeoDataFrame({ + 'geometry': [ + shapely.Point((2,2)), + shapely.Polygon([(0, 0), (1, 1), (1, 0), (0, 0)]), + shapely.LineString([(0, 1), (1, 0)]) + ] + }) + + with self.assertRaises(ValueError): + # Trying to create Centroids from invalid GeoDataFrame + Centroids.from_geodataframe(invalid_geometry_gdf) + + def test_from_exposures_with_region_id(self): + """ + Test that the `from_exposures` method correctly extracts + centroids and region_id from an `Exposure` object with region_id. + """ + # Create an Exposure object with region_id, on_land and custom crs + lat = np.array([10.0, 20.0, 30.0]) + lon = np.array([-10.0, -20.0, -30.0]) + value = np.array([1, 1, 1]) + region_id = np.array([1, 2, 3]) + on_land = [False, True, True] + crs = 'epsg:32632' + gdf = gpd.GeoDataFrame({ + 'latitude' : lat, + 'longitude': lon, + 'value': value, + 'region_id': region_id, + 'on_land': on_land + }) + exposures = Exposures(gdf, crs=crs) + + # Extract centroids from exposures + centroids = Centroids.from_exposures(exposures) + + # Check attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + np.testing.assert_array_equal(centroids.region_id, region_id) + np.testing.assert_array_equal(centroids.on_land, on_land) + self.assertEqual(centroids.crs, crs) + + def test_from_exposures_without_region_id(self): + """ + Test that the `from_exposures` method correctly extracts + centroids from an `Exposure` object without region_id. + """ + # Create an Exposure object without region_id and variables to ignore + # and default crs + lat = np.array([10.0, 20.0, 30.0]) + lon = np.array([-10.0, -20.0, -30.0]) + value = np.array([1, 1, 1]) + impf_TC = np.array([1, 2, 3]) + centr_TC = np.array([1, 2, 3]) + gdf = gpd.GeoDataFrame({ + 'latitude' : lat, + 'longitude': lon, + 'value': value, + 'impf_tc': impf_TC, + 'centr_TC': centr_TC + }) + exposures = Exposures(gdf) + + # Extract centroids from exposures + centroids = Centroids.from_exposures(exposures) + + # Check attributes + self.assertEqual(centroids.lat.tolist(), lat.tolist()) + self.assertEqual(centroids.lon.tolist(), lon.tolist()) + self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) + self.assertEqual(centroids.region_id, None) + self.assertEqual(centroids.on_land, None) + + class TestCentroidsWriter(unittest.TestCase): @@ -199,6 +261,32 @@ def test_union(self): np.testing.assert_array_equal(cent.lat, [0, 1, 2, 3, -1, -2]) np.testing.assert_array_equal(cent.lon, [0, -1, -2, 3, 1, 2]) + def test_get_meta(self): + """ + Test that the `get_meta` method correctly generates metadata + for a raster with a specified resolution. + """ + # Create centroids with specified resolution + lon = np.array([-10.0, -20.0, -30.0]) + lat = np.array([10.0, 20.0, 30.0]) + centroids = Centroids(latitude=lat, longitude=lon, crs=DEF_CRS) + + # Get metadata + meta = centroids.get_meta() + + # Check metadata + expected_meta = dict( + crs=DEF_CRS, + height= 3, + width= 3, + transform=Affine(10, 0, -35, + 0, -10, 35) + ) + self.assertEqual(meta['height'], expected_meta['height']) + self.assertEqual(meta['width'], expected_meta['width']) + self.assertTrue(u_coord.equal_crs(meta['crs'], expected_meta['crs'])) + self.assertTrue(meta['transform'].almost_equals(expected_meta['transform'])) + # Execute Tests if __name__ == "__main__": From 9653e9824f879294373e5c510361e17b7d3afcc3 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 12 Dec 2023 14:45:34 +0100 Subject: [PATCH 112/192] Add tentative changelog. --- CHANGELOG.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/CHANGELOG.md b/CHANGELOG.md index 9dcd96f135..3f785f4698 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -18,6 +18,7 @@ Code freeze date: YYYY-MM-DD - Update `CONTRIBUTING.md` to better explain types of contributions to this repository [#797](https://github.com/CLIMADA-project/climada_python/pull/797) - The default tile layer in Exposures maps is not Stamen Terrain anymore, but [CartoDB Positron](https://github.com/CartoDB/basemap-styles). Affected methods are `climada.engine.Impact.plot_basemap_eai_exposure`,`climada.engine.Impact.plot_basemap_impact_exposure` and `climada.entity.Exposures.plot_basemap`. [#798](https://github.com/CLIMADA-project/climada_python/pull/798) - Recommend using Mamba instead of Conda for installing CLIMADA [#809](https://github.com/CLIMADA-project/climada_python/pull/809) +- Centroids complete overhaul. Most function should be backward compatible. Internal data is stored in a geodataframe attribute. Raster are now stored as points, and the meta attribute is removed. The methods to read matlab files were removed. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) ### Fixed @@ -27,6 +28,7 @@ Code freeze date: YYYY-MM-DD ### Deprecated ### Removed +- Read/write matlab file methods for Centroids and Hazard objects. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) ## 4.0.1 From 8e13e615fdba84f67ad8b92a9e9bc26ffed21c9e Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 12 Dec 2023 18:07:05 +0100 Subject: [PATCH 113/192] Make keywords argument only : name lat/lon : remove set_* --- climada/hazard/base.py | 10 +- climada/hazard/centroids/centr.py | 151 ++++++++++-------- climada/hazard/centroids/test/test_centr.py | 22 +-- climada/hazard/centroids/test/test_vec_ras.py | 43 +++-- climada/hazard/storm_europe.py | 5 +- climada/hazard/tc_tracks.py | 2 +- climada/hazard/test/test_base.py | 26 +-- climada/test/data/LitPop_150arcsec_LUX.hdf5 | Bin 0 -> 1075384 bytes .../test/data/LitPop_pop_150arcsec_AUT.hdf5 | Bin 0 -> 1513248 bytes ...r_flood_150arcsec_rcp26_AUT_2010_2030.hdf5 | Bin 0 -> 185049 bytes climada/test/data/test_haz.h5 | Bin 0 -> 25128690 bytes climada/test/test_hazard.py | 4 +- climada/util/test/test_coordinates.py | 10 +- 13 files changed, 147 insertions(+), 126 deletions(-) create mode 100644 climada/test/data/LitPop_150arcsec_LUX.hdf5 create mode 100644 climada/test/data/LitPop_pop_150arcsec_AUT.hdf5 create mode 100644 climada/test/data/river_flood_150arcsec_rcp26_AUT_2010_2030.hdf5 create mode 100644 climada/test/data/test_haz.h5 diff --git a/climada/hazard/base.py b/climada/hazard/base.py index b048a2615a..49fc6a38ac 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -66,8 +66,8 @@ }, 'col_centroids': {'sheet_name': 'centroids', 'col_name': {'cen_id': 'centroid_id', - 'lat': 'latitude', - 'lon': 'longitude' + 'latitude': 'lat', + 'longitude': 'lon', } } } @@ -227,7 +227,7 @@ def __init__(self, """ self.haz_type = haz_type self.units = units - self.centroids = centroids if centroids is not None else Centroids(np.empty(0), np.empty(0)) + self.centroids = centroids if centroids is not None else Centroids(lat=np.empty(0), lon=np.empty(0)) # following values are defined for each event self.event_id = event_id if event_id is not None else np.array([], int) self.frequency = frequency if frequency is not None else np.array( @@ -752,8 +752,8 @@ def from_xarray_raster( # Transform coordinates into centroids centroids = Centroids( - latitude=data[coords["latitude"]].values, - longitude=data[coords["longitude"]].values, + lat=data[coords["latitude"]].values, + lon=data[coords["longitude"]].values, crs=crs, ) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 524959ab04..4ce0afac2d 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -22,7 +22,7 @@ import copy import logging from pathlib import Path -from typing import Optional +from typing import Union import warnings import h5py @@ -48,8 +48,8 @@ 'sheet_name': 'centroids', 'col_name': { 'region_id': 'region_id', - 'lat': 'latitude', - 'lon': 'longitude', + 'latitude': 'lat', + 'longitude': 'lon', 'on_land': 'on_land', 'dist_coast': 'dist_coast', 'elevation': 'elevation', @@ -90,12 +90,12 @@ class Centroids(): def __init__( self, - longitude: np.ndarray, - latitude: np.ndarray, + *, + lat: Union[np.ndarray, list], + lon: Union[np.ndarray, list], crs: str = DEF_CRS, - region_id: Optional[np.ndarray] = None, - on_land: Optional[np.ndarray] = None, - **kwargs + region_id: Union[str('country'), None, np.ndarray, list] = None, + on_land: Union[str('natural_earth'), None, np.ndarray, list] = None, ): """Initialization @@ -114,15 +114,21 @@ def __init__( kwargs: columns of values to passed to the geodataframe constructor """ + attr_dict = { - 'geometry': gpd.points_from_xy(longitude, latitude, crs=crs), + 'geometry': gpd.points_from_xy(lon, lat, crs=crs), 'region_id': region_id, 'on_land': on_land } - if kwargs: - attr_dict = dict(**attr_dict, **kwargs) self.gdf = gpd.GeoDataFrame(data=attr_dict) + if isinstance(region_id, str): + if region_id == 'admin0': + self._set_region_id(level='country') + if isinstance(on_land, str): + if on_land== 'country': + self._set_on_land(source='natural_earth') + @property def lat(self): """ Returns the latitudes """ @@ -239,7 +245,7 @@ def from_geodataframe(cls, gdf): # This is a bit ugly, but avoids to recompute the geometries # in the init. For large datasets this saves computation time - centroids = cls(latitude=[1], longitude=[1]) #make "empty" centroids + centroids = cls(lat=[1], lon=[1]) #make "empty" centroids centroids.gdf = gdf if not gdf.crs: centroids.gdf.set_crs(DEF_CRS, inplace=True) @@ -278,8 +284,8 @@ def from_exposures(cls, exposures): if 'latitude' in exposures.gdf.columns and 'longitude' in exposures.gdf.columns: gdf = exposures.gdf[col_names] return cls( - latitude = exposures.gdf['latitude'], - longitude = exposures.gdf['longitude'], + lat = exposures.gdf['latitude'], + lon = exposures.gdf['longitude'], crs = exposures.crs, **dict(gdf.items()) ) @@ -306,7 +312,7 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): """ rows, cols, ras_trans = u_coord.pts_to_raster_meta(points_bounds, (res, -res)) x_grid, y_grid = u_coord.raster_to_meshgrid(ras_trans, cols, rows) - return cls(latitude=y_grid.flatten(), longitude=x_grid.flatten(), crs=crs) + return cls(lat=y_grid.flatten(), lon=x_grid.flatten(), crs=crs) def append(self, centr): """Append centroids points. @@ -375,31 +381,6 @@ def get_closest_point(self, x_lon, y_lat): close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() return self.lon[close_idx], self.lat[close_idx], close_idx - def set_region_id(self, level='country', overwrite=False): - """Set region_id as country ISO numeric code attribute for every pixel or point. - - Parameters - ---------- - level: str - defines the admin level on which to assign centroids. Currently - only 'country' (admin0) is implemented. Default is 'country'. - overwrite : bool - if True, overwrites the existing region_id information. - if False and region_id is None region_id is computed. - """ - if overwrite or self.region_id is None: - LOGGER.debug('Setting region_id %s points.', str(self.size)) - if level == 'country': - ne_geom = self._ne_crs_geom() - self.gdf['region_id'] = u_coord.get_country_code( - ne_geom.y.values, ne_geom.x.values - ) - else: - raise NotImplementedError( - 'The region id can only be assigned for countries so far' - ) - - # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER def get_elevation(self, topo_path): """Return elevation attribute for every pixel or point in meters. @@ -430,22 +411,6 @@ def get_dist_coast(self, signed=False, precomputed=False): LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) - def set_on_land(self, overwrite=False): - """Set on_land attribute for every pixel or point. - - Parameters - ---------- - overwrite : bool - if True, overwrites the existing on_land information. - if False and on_land is None on_land is computed. - """ - if overwrite or self.on_land is None: - LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) - ne_geom = self._ne_crs_geom() - self.gdf['on_land'] = u_coord.coord_on_land( - ne_geom.y.values, ne_geom.x.values - ) - @classmethod def remove_duplicate_points(cls, centroids): """Return a copy of centroids with removed duplicated points @@ -634,8 +599,8 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, transform, width, height, resampling) lat, lon = _meta_to_lat_lon(meta) if return_meta: - return cls(longitude=lon, latitude=lat, crs=meta['crs']), meta - return cls(longitude=lon, latitude=lat, crs=meta['crs']) + return cls(lon=lon, lat=lat, crs=meta['crs']), meta + return cls(lon=lon, lat=lat, crs=meta['crs']) @classmethod def from_meta(cls, meta): @@ -653,7 +618,7 @@ def from_meta(cls, meta): """ crs = meta['crs'] lat, lon = _meta_to_lat_lon(meta) - return cls(longitude=lon, latitude=lat, crs=crs) + return cls(lon=lon, lat=lat, crs=crs) @classmethod def from_vector_file(cls, file_name, dst_crs=None): @@ -739,10 +704,17 @@ def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): assert 'sheet_name' in var_names, 'sheet_name must be a key in the var_names dict' assert 'col_name' in var_names, 'col_name must be a key in the var_names dict' - data = pd.read_excel(file_path, var_names['sheet_name']).rename( - columns=var_names['col_name'] - ) - return cls(**dict(data.items()), crs=crs) + data = pd.read_excel(file_path, var_names['sheet_name']) + data = data.rename(columns=var_names['col_name']) + if 'region_id' in data.columns: + region_id = data['region_id'] + else: + region_id = None + if 'on_land' in data.columns: + on_land = data['on_land'] + else: + on_land = None + return cls(lat=data['lat'], lon=data['lon'], region_id=region_id, on_land=on_land, crs=crs) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format @@ -882,6 +854,59 @@ def get_meta(self, resolution=None): } return meta + def _set_region_id(self, level='country', overwrite=False): + """Set region_id as country ISO numeric code attribute for every pixel or point. + + Parameters + ---------- + level: str + defines the admin level on which to assign centroids. Currently + only 'country' (admin0) is implemented. Default is 'country'. + overwrite : bool + if True, overwrites the existing region_id information. + if False and region_id is None region_id is computed. + """ + if overwrite or self.region_id is None: + LOGGER.debug('Setting region_id %s points.', str(self.size)) + if level == 'country': + ne_geom = self._ne_crs_geom() + self.gdf['region_id'] = u_coord.get_country_code( + ne_geom.y.values, ne_geom.x.values + ) + else: + raise NotImplementedError( + 'The region id can only be assigned for countries so far' + ) + + def _set_on_land(self, source='natural_earth', overwrite=False): + """Set on_land attribute for every pixel or point. + + natural_earth: https://www.naturalearthdata.com/ + + Parameters + ---------- + source: str + defines the source of the coastlines. Currently + only 'natural_earth' is implemented. + Default is 'natural_earth'. + overwrite : bool + if True, overwrites the existing on_land information. + if False and on_land is None on_land is computed. + """ + if overwrite or self.on_land is None: + LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) + if source=='natural_earth': + ne_geom = self._ne_crs_geom() + self.gdf['on_land'] = u_coord.coord_on_land( + ne_geom.y.values, ne_geom.x.values + ) + else: + raise NotImplementedError( + 'The on land variables can only be assigned' + 'using natural earth.' + ) + + def _meta_to_lat_lon(meta): """Compute lat and lon of every pixel center from meta raster. diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 6c63b5088f..e468571992 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -40,7 +40,7 @@ def test_init(self): # Creating Centroids with latitude and longitude arrays lat = np.array([10.0, 20.0, 30.0]) lon = np.array([-10.0, -20.0, -30.0]) - centroids = Centroids(latitude=lat, longitude=lon) + centroids = Centroids(lat=lat, lon=lon) # Checking attributes np.testing.assert_array_equal(centroids.lat, lat) @@ -50,7 +50,7 @@ def test_init(self): # Creating Centroids with additional properties region_id = np.array([1, 2, 3]) on_land = np.array([True, False, False]) - centroids = Centroids(lat, lon, region_id=region_id, on_land=on_land) + centroids = Centroids(lat=lat, lon=lon, region_id=region_id, on_land=on_land) # Checking additional attributes np.testing.assert_array_equal(centroids.region_id, region_id) @@ -61,7 +61,7 @@ def test_to_default_crs(self): crs = 'epsg:32632' lat = np.array([-10, 0, 10]) lon = np.array([-170, -150, -130]) - centroids = Centroids(latitude=lat, longitude=lon, crs=crs) + centroids = Centroids(lat=lat, lon=lon, crs=crs) self.assertTrue(u_coord.equal_crs(centroids.crs, 'epsg:32632')) @@ -76,7 +76,7 @@ def test_to_crs(self): crs = 'epsg:4326' lat = np.array([-10, 0, 10]) lon = np.array([-170, -150, -130]) - centroids = Centroids(latitude=lat, longitude=lon, crs=crs) + centroids = Centroids(lat=lat, lon=lon, crs=crs) # Transforming to another CRS new_crs = 'epsg:3857' @@ -213,10 +213,10 @@ class TestCentroidsWriter(unittest.TestCase): def test_read_write_hdf5(self): tmpfile = Path('test_write_hdf5.out.hdf5') - latitude = np.arange(0,10) - longitude = np.arange(-10,0) + lat = np.arange(0,10) + lon = np.arange(-10,0) crs = DEF_CRS - centroids_w = Centroids(latitude=latitude, longitude=longitude, crs=crs) + centroids_w = Centroids(lat=lat, lon=lon, crs=crs) centroids_w.write_hdf5(tmpfile) centroids_r = Centroids.from_hdf5(tmpfile) self.assertTrue(centroids_w == centroids_r) @@ -228,14 +228,14 @@ class TestCentroidsMethods(unittest.TestCase): def test_union(self): lat, lon = np.array([0, 1]), np.array([0, -1]) on_land = np.array([True, True]) - cent1 = Centroids(latitude=lat, longitude=lon, on_land=on_land) + cent1 = Centroids(lat=lat, lon=lon, on_land=on_land) lat2, lon2 = np.array([2, 3]), np.array([-2, 3]) on_land2 = np.array([False, False]) - cent2 = Centroids(latitude=lat2, longitude=lon2, on_land=on_land2) + cent2 = Centroids(lat=lat2, lon=lon2, on_land=on_land2) lat3, lon3 = np.array([-1, -2]), np.array([1, 2]) - cent3 = Centroids(latitude=lat3,longitude=lon3) + cent3 = Centroids(lat=lat3,lon=lon3) cent = cent1.union(cent2) np.testing.assert_array_equal(cent.lat, [0, 1, 2, 3]) @@ -269,7 +269,7 @@ def test_get_meta(self): # Create centroids with specified resolution lon = np.array([-10.0, -20.0, -30.0]) lat = np.array([10.0, 20.0, 30.0]) - centroids = Centroids(latitude=lat, longitude=lon, crs=DEF_CRS) + centroids = Centroids(lat=lat, lon=lon, crs=DEF_CRS) # Get metadata meta = centroids.get_meta() diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 50e2d1d709..d85991557d 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -63,7 +63,7 @@ class TestVector(unittest.TestCase): """Test CentroidsVector class""" def setUp(self): - self.centr = Centroids(latitude=VEC_LAT,longitude=VEC_LON, crs=TEST_CRS) + self.centr = Centroids(lat=VEC_LAT,lon=VEC_LON, crs=TEST_CRS) def test_init_pass(self): """Test from_lat_lon""" @@ -72,15 +72,12 @@ def test_init_pass(self): self.assertTrue(u_coord.equal_crs(self.centr.crs, TEST_CRS)) # Test default crs and other inputs - EXTRA_COL = np.ones_like(VEC_LAT) centr = Centroids( - latitude=VEC_LAT,longitude=VEC_LON, - region_id = REGION_ID, on_land=ON_LAND, - extra_col = EXTRA_COL) + lat=VEC_LAT,lon=VEC_LON, + region_id = REGION_ID, on_land=ON_LAND) self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) self.assertTrue(np.allclose(centr.region_id, REGION_ID)) self.assertTrue(np.allclose(centr.on_land, ON_LAND)) - self.assertTrue(np.allclose(centr.gdf.extra_col.values, EXTRA_COL)) def test_ne_crs_geom_pass(self): @@ -100,7 +97,7 @@ def test_dist_coast_pass(self): def test_region_id_pass(self): """Test set_region_id""" - self.centr.set_region_id() + self.centr._set_region_id() np.testing.assert_array_equal( self.centr.region_id, REGION_ID @@ -108,7 +105,7 @@ def test_region_id_pass(self): def test_on_land(self): """Test set_on_land""" - self.centr.set_on_land() + self.centr._set_on_land() np.testing.assert_array_equal( self.centr.on_land, ON_LAND @@ -116,8 +113,8 @@ def test_on_land(self): def test_remove_duplicate_pass(self): """Test remove_duplicate_points""" - centr = Centroids(latitude = np.hstack([VEC_LAT, VEC_LAT]), - longitude = np.hstack([VEC_LON , VEC_LON]), + centr = Centroids(lat = np.hstack([VEC_LAT, VEC_LAT]), + lon = np.hstack([VEC_LON , VEC_LON]), crs=TEST_CRS) self.assertTrue(centr.gdf.shape[0] == 2*self.centr.gdf.shape[0]) rem_centr = Centroids.remove_duplicate_points(centr) @@ -151,7 +148,7 @@ def test_get_closest_point(self): def test_append_pass(self): """Append points""" centr = self.centr - centr_bis = Centroids(latitude=np.array([1, 2, 3]), longitude=np.array([4, 5, 6]), crs=DEF_CRS) + centr_bis = Centroids(lat=np.array([1, 2, 3]), lon=np.array([4, 5, 6]), crs=DEF_CRS) with self.assertRaises(ValueError): #Different crs centr_bis.to_crs(ALT_CRS).append(centr) @@ -168,9 +165,9 @@ def test_append_pass(self): def test_equal_pass(self): """Test equal""" centr_list = [ - Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=DEF_CRS), - Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=ALT_CRS), - Centroids(latitude=VEC_LAT+1, longitude=VEC_LON+1) + Centroids(lat=VEC_LAT, lon=VEC_LON, crs=DEF_CRS), + Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS), + Centroids(lat=VEC_LAT+1, lon=VEC_LON+1) ] for centr1, centr2 in itertools.combinations(centr_list, 2): self.assertFalse(centr2 == centr1) @@ -195,14 +192,14 @@ def test_read_all_pass(self): def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" - centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=ALT_CRS) + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) ne_geom = centr._ne_crs_geom() self.assertTrue(u_coord.equal_crs(ne_geom.crs, u_coord.NE_CRS)) def test_region_id_pass(self): """Test set_dist_coast""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_region_id() + centr_ras._set_region_id() self.assertEqual(centr_ras.region_id.size, centr_ras.size) self.assertTrue(np.array_equal(np.unique(centr_ras.region_id), np.array([862]))) @@ -225,7 +222,7 @@ def test_dist_coast_pass(self): def test_on_land(self): """Test set_on_land""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_on_land() + centr_ras._set_on_land() self.assertTrue(np.array_equal(centr_ras.on_land, np.ones(60 * 50, bool))) def test_area_pass(self): @@ -282,7 +279,7 @@ def test_get_closest_point(self): self.assertEqual(centr_ras.lon[idx], x) self.assertEqual(centr_ras.lat[idx], y) - centr_ras = Centroids(latitude=np.array([0, 0.2, 0.7]), longitude=np.array([-0.4, 0.2, 1.1])) + centr_ras = Centroids(lat=np.array([0, 0.2, 0.7]), lon=np.array([-0.4, 0.2, 1.1])) x, y, idx = centr_ras.get_closest_point(0.1, 0.0) self.assertEqual(x, 0.2) self.assertEqual(y, 0.2) @@ -306,7 +303,7 @@ class TestCentroids(unittest.TestCase): def test_centroids_check_pass(self): """Test vector data in Centroids""" - centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, crs=ALT_CRS) + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) self.assertTrue(u_coord.equal_crs(centr.crs, CRS.from_user_input(ALT_CRS))) self.assertEqual(list(centr.total_bounds), @@ -324,7 +321,7 @@ def test_centroids_check_pass(self): class TestReader(unittest.TestCase): """Test Centroids setter vector and raster methods""" def setUp(self): - self.centr = Centroids(latitude=VEC_LAT,longitude=VEC_LON, crs=TEST_CRS) + self.centr = Centroids(lat=VEC_LAT,lon=VEC_LON, crs=TEST_CRS) def test_from_vector_file(self): """Test from_vector_file and values_from_vector_files""" @@ -356,7 +353,7 @@ def test_select_pass(self): """Test Centroids.select method""" region_id = np.zeros(VEC_LAT.size) region_id[[2, 4]] = 10 - centr = Centroids(latitude=VEC_LAT, longitude=VEC_LON, region_id=region_id) + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id=region_id) fil_centr = centr.select(reg_id=10) self.assertEqual(fil_centr.size, 2) @@ -369,8 +366,8 @@ def test_select_pass(self): def test_select_extent_pass(self): """Test select extent""" centr = Centroids( - latitude=np.array([-5, -3, 0, 3, 5]), - longitude=np.array([-180, -175, -170, 170, 175]), + lat=np.array([-5, -3, 0, 3, 5]), + lon=np.array([-180, -175, -170, 170, 175]), region_id=np.zeros(5)) ext_centr = centr.select(extent=[-175, -170, -5, 5]) np.testing.assert_array_equal(ext_centr.lon, np.array([-175, -170])) diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index f2aa56988e..d6bdfd9eed 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -557,8 +557,7 @@ def _centroids_from_nc(file_name): if create_meshgrid: lats, lons = np.array([np.repeat(lats, len(lons)), np.tile(lons, len(lats))]) - cent = Centroids(latitude=lats, longitude=lons) - cent.set_on_land() + cent = Centroids(lat=lats, lon=lons, on_land='naturel_earth') return cent @@ -774,7 +773,7 @@ def generate_prob_storms(self, reg_id=528, spatial_shift=4, ssi_args=None, """ # bool vector selecting the targeted centroids if reg_id is not None: - self.centroids.set_region_id(overwrite=False) + self.centroids._set_region_id(overwrite=False) if not isinstance(reg_id, list): reg_id = [reg_id] sel_cen = np.isin(self.centroids.region_id, reg_id) diff --git a/climada/hazard/tc_tracks.py b/climada/hazard/tc_tracks.py index 7788af0932..89a44b3744 100644 --- a/climada/hazard/tc_tracks.py +++ b/climada/hazard/tc_tracks.py @@ -1214,7 +1214,7 @@ def generate_centroids(self, res_deg, buffer_deg): lat = np.arange(bounds[1] + 0.5 * res_deg, bounds[3], res_deg) lon = np.arange(bounds[0] + 0.5 * res_deg, bounds[2], res_deg) lon, lat = [ar.ravel() for ar in np.meshgrid(lon, lat)] - return Centroids(latitude=lat, longitude=lon) + return Centroids(lat=lat, lon=lon) def plot(self, axis=None, figsize=(9, 13), legend=True, adapt_fontsize=True, **kwargs): """Track over earth. Historical events are blue, probabilistic black. diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index b44d3a5727..7ea5b0675a 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -63,7 +63,7 @@ def dummy_hazard(): intensity=intensity, fraction=fraction, centroids=Centroids( - latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), + lat=np.array([1, 3, 5]), lon=np.array([2, 4, 6])), event_id=np.array([1, 2, 3, 4]), event_name=['ev1', 'ev2', 'ev3', 'ev4'], date=np.array([1, 2, 3, 4]), @@ -79,8 +79,8 @@ class TestLoader(unittest.TestCase): def setUp(self): """Test fixure: Build a valid hazard""" centroids = Centroids( - latitude=np.array([1, 3]), - longitude=np.array([2, 3]), + lat=np.array([1, 3]), + lon=np.array([2, 3]), region_id = np.array([1, 2]) ) self.hazard = Hazard( @@ -240,7 +240,7 @@ def test_same_events_same(self): duplicate events, initial events are obtained with 0 intensity and fraction in new appended centroids.""" haz1 = dummy_hazard() - centroids = Centroids(latitude=np.array([7, 9, 11]), longitude=np.array([8, 10, 12])) + centroids = Centroids(lat=np.array([7, 9, 11]), lon=np.array([8, 10, 12])) fraction = sparse.csr_matrix([[0.22, 0.32, 0.44], [0.11, 0.11, 0.11], [0.32, 0.11, 0.99], @@ -718,7 +718,7 @@ def test_all_different_extend(self): date=np.ones((4,)), orig=np.ones((4,)), centroids=Centroids( - latitude=np.array([7, 9, 11]), longitude=np.array([8, 10, 12])), + lat=np.array([7, 9, 11]), lon=np.array([8, 10, 12])), event_id=np.array([5, 6, 7, 8]), event_name=['ev5', 'ev6', 'ev7', 'ev8'], frequency=np.array([0.9, 0.75, 0.75, 0.22]), @@ -769,7 +769,7 @@ def test_same_events_append(self): [9.33, 9.22, 1.77]]) haz2 = Hazard('TC', centroids=Centroids( - latitude=np.array([7, 9, 11]), longitude=np.array([8, 10, 12])), + lat=np.array([7, 9, 11]), lon=np.array([8, 10, 12])), event_id=haz1.event_id, event_name=haz1.event_name.copy(), frequency=haz1.frequency, @@ -816,7 +816,7 @@ def test_concat_pass(self): haz_1 = Hazard("TC", centroids=Centroids( - latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), + lat=np.array([1, 3, 5]), lon=np.array([2, 4, 6])), event_id=np.array([1]), event_name=['ev1'], date=np.array([1]), @@ -828,7 +828,7 @@ def test_concat_pass(self): units='m/s') haz_2 = Hazard("TC", - centroids=Centroids(latitude=np.array([1, 3, 5]), longitude=np.array([2, 4, 6])), + centroids=Centroids(lat=np.array([1, 3, 5]), lon=np.array([2, 4, 6])), event_id=np.array([1]), event_name=['ev2'], date=np.array([2]), @@ -894,7 +894,7 @@ def test_change_centroids(self): """Set new centroids for hazard""" lat, lon = np.array([0, 1]), np.array([0, -1]) on_land = np.array([True, True]) - cent1 = Centroids(latitude=lat, longitude=lon, on_land=on_land) + cent1 = Centroids(lat=lat, lon=lon, on_land=on_land) haz_1 = Hazard('TC', centroids=cent1, @@ -910,7 +910,7 @@ def test_change_centroids(self): lat2, lon2 = np.array([0, 1, 3]), np.array([0, -1, 3]) on_land2 = np.array([True, True, False]) - cent2 = Centroids(latitude=lat2, longitude=lon2, on_land=on_land2) + cent2 = Centroids(lat=lat2, lon=lon2, on_land=on_land2) haz_2 = haz_1.change_centroids(cent2) @@ -925,7 +925,7 @@ def test_change_centroids(self): """Test error for projection""" lat3, lon3 = np.array([0.5, 3, 1]), np.array([-0.5, 3, 1]) on_land3 = np.array([True, True, False]) - cent3 = Centroids(latitude=lat3, longitude=lon3, on_land=on_land3) + cent3 = Centroids(lat=lat3, lon=lon3, on_land=on_land3) with self.assertRaises(ValueError) as cm: haz_1.change_centroids(cent3, threshold=100) @@ -936,7 +936,7 @@ def test_change_centroids_raster(self): """Set new centroids for hazard""" lat, lon = np.array([0, 1]), np.array([0, -1]) on_land = np.array([True, True]) - cent1 = Centroids(latitude=lat, longitude=lon, on_land=on_land) + cent1 = Centroids(lat=lat, lon=lon, on_land=on_land) haz_1 = Hazard('TC', centroids=cent1, @@ -1119,7 +1119,7 @@ def test_reproject_vector_pass(self): 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0.33, 0.31])), fraction=sparse.csr_matrix(np.array([0, 1, 2, 3]) ), centroids=Centroids( - longitude=np.array([1, 2, 3, 3]), latitude=np.array([1, 2, 3, 1]), crs=DEF_CRS + lon=np.array([1, 2, 3, 3]), lat=np.array([1, 2, 3, 1]), crs=DEF_CRS ) ) @@ -135,7 +135,7 @@ def test_read_write_vector_fraction_pass(self): intensity=sparse.csr_matrix(np.array([-0.11, -0.22, -0.33, -0.31])), fraction=sparse.csr_matrix(np.array([0.11, 0.22, 0.33, 0.31])), centroids=Centroids( - longitude=np.array([1, 2, 3, 3]), latitude=np.array([1, 2, 3, 1]), crs=DEF_CRS + lon=np.array([1, 2, 3, 3]), lat=np.array([1, 2, 3, 1]), crs=DEF_CRS ) ) diff --git a/climada/util/test/test_coordinates.py b/climada/util/test/test_coordinates.py index 76be806f89..bdd0ef9d52 100644 --- a/climada/util/test/test_coordinates.py +++ b/climada/util/test/test_coordinates.py @@ -582,11 +582,11 @@ def test_match_centroids(self): coords_to_assign = np.array([(2.1, 3), (0, 0), (0, 2), (0.9, 1.0), (0, -179.9)]) centroids = Centroids( - latitude=coords_to_assign[:, 0], - longitude=coords_to_assign[:, 1], + lat=coords_to_assign[:, 0], + lon=coords_to_assign[:, 1], crs=DEF_CRS ) - centroids_empty = Centroids(latitude=np.array([]), longitude=np.array([])) + centroids_empty = Centroids(lat=np.array([]), lon=np.array([])) expected_results = [ # test with different thresholds (in km) @@ -617,8 +617,8 @@ def test_match_centroids(self): coords_to_assign = np.array([(2.1, 3), (0, 0), (0, 2), (0.9, 1.0), (0, -179.9)]) centroids = Centroids( - latitude=[1100000,1200000], - longitude=[2500000,2600000], + lat=[1100000,1200000], + lon=[2500000,2600000], crs='EPSG:2056' ) From 43c2f1b0a85ba3fca9963171c9c5cab2e4966de0 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Tue, 12 Dec 2023 18:12:11 +0100 Subject: [PATCH 114/192] Auto stash before revert of "Make keywords argument only : name lat/lon : remove set_*" --- climada/test/data/LitPop_150arcsec_LUX.hdf5 | Bin 1075384 -> 0 bytes .../test/data/LitPop_pop_150arcsec_AUT.hdf5 | Bin 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a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 5ce6ec3938..e565d7dcf0 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -197,7 +197,7 @@ def test_affected_total_value(self): ) exp = Exposures(gdf, crs=4326) intensity = sp.sparse.csr_matrix(np.array([[0, 0, 1, 10, 2], [-1, 0, 0, 1, 2]])) - cent = Centroids(latitude=np.array([1, 2, 3, 4]), longitude=np.array([-1, -2, -3, -4])) + cent = Centroids(lat=np.array([1, 2, 3, 4]), lon=np.array([-1, -2, -3, -4])) haz = Hazard( haz_type=haz_type, centroids=cent, intensity=intensity, event_id=[1, 2] ) From d031a793ba19bd5d95eee4d6a22b56e2b933289b Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 13 Dec 2023 17:23:34 +0100 Subject: [PATCH 117/192] Fix setting region id and on land at init. --- climada/hazard/centroids/centr.py | 8 ++++---- climada/hazard/centroids/test/test_vec_ras.py | 16 ++++++++++++++++ 2 files changed, 20 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 4ce0afac2d..6416460c8d 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -123,11 +123,11 @@ def __init__( self.gdf = gpd.GeoDataFrame(data=attr_dict) if isinstance(region_id, str): - if region_id == 'admin0': - self._set_region_id(level='country') + LOGGER.info(f'Setting region id to {region_id} level.') + self._set_region_id(level=region_id, overwrite=True) if isinstance(on_land, str): - if on_land== 'country': - self._set_on_land(source='natural_earth') + LOGGER.info(f'Setting on land from {on_land} source.') + self._set_on_land(source=on_land, overwrite=True) @property def lat(self): diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index d85991557d..adc80d396e 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -103,6 +103,14 @@ def test_region_id_pass(self): REGION_ID ) + centroids = Centroids( + lat=VEC_LAT, lon=VEC_LON, region_id='country' + ) + np.testing.assert_array_equal( + centroids.region_id, + REGION_ID + ) + def test_on_land(self): """Test set_on_land""" self.centr._set_on_land() @@ -111,6 +119,14 @@ def test_on_land(self): ON_LAND ) + centroids = Centroids( + lat=VEC_LAT, lon=VEC_LON, on_land='natural_earth' + ) + np.testing.assert_array_equal( + centroids.on_land, + ON_LAND + ) + def test_remove_duplicate_pass(self): """Test remove_duplicate_points""" centr = Centroids(lat = np.hstack([VEC_LAT, VEC_LAT]), From a1040f84dcb48873837e9247ee96b78390d40f7c Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 13 Dec 2023 17:23:47 +0100 Subject: [PATCH 118/192] Fix typo --- climada/hazard/storm_europe.py | 2 +- climada/hazard/test/test_storm_europe.py | 5 +---- 2 files changed, 2 insertions(+), 5 deletions(-) diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index d6bdfd9eed..a15ad6a49e 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -557,7 +557,7 @@ def _centroids_from_nc(file_name): if create_meshgrid: lats, lons = np.array([np.repeat(lats, len(lons)), np.tile(lons, len(lats))]) - cent = Centroids(lat=lats, lon=lons, on_land='naturel_earth') + cent = Centroids(lat=lats, lon=lons, on_land='natural_earth') return cent diff --git a/climada/hazard/test/test_storm_europe.py b/climada/hazard/test/test_storm_europe.py index 5a26de092f..7b8c81f901 100644 --- a/climada/hazard/test/test_storm_europe.py +++ b/climada/hazard/test/test_storm_europe.py @@ -29,7 +29,6 @@ from climada.hazard.storm_europe import StormEurope, generate_WS_forecast_hazard from climada.hazard.centroids.centr import DEF_VAR_EXCEL, Centroids from climada.util.constants import WS_DEMO_NC -from climada.util.api_client import Client DATA_DIR = CONFIG.hazard.test_data.dir() @@ -87,9 +86,7 @@ def test_set_ssi(self): storms.set_ssi(method='dawkins') ssi_dawg = np.asarray([1.44573572e+09, 6.16173724e+08]) - self.assertTrue( - np.allclose(storms.ssi, ssi_dawg) - ) + np.testing.assert_array_almost_equal(storms.ssi, ssi_dawg) storms.set_ssi(method='wisc_gust') ssi_gusty = np.asarray([1.42124571e+09, 5.86870673e+08]) From a748ee0f675be2315190e895805d558207620782 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 13 Dec 2023 17:39:06 +0100 Subject: [PATCH 119/192] Fix all close values for big numbers --- climada/hazard/test/test_storm_europe.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/climada/hazard/test/test_storm_europe.py b/climada/hazard/test/test_storm_europe.py index 7b8c81f901..f928e9db47 100644 --- a/climada/hazard/test/test_storm_europe.py +++ b/climada/hazard/test/test_storm_europe.py @@ -86,7 +86,9 @@ def test_set_ssi(self): storms.set_ssi(method='dawkins') ssi_dawg = np.asarray([1.44573572e+09, 6.16173724e+08]) - np.testing.assert_array_almost_equal(storms.ssi, ssi_dawg) + self.assertTrue( + np.allclose(storms.ssi, ssi_dawg) + ) storms.set_ssi(method='wisc_gust') ssi_gusty = np.asarray([1.42124571e+09, 5.86870673e+08]) From 652a2b8f968c3a8b6cdd4922af54c0f46355367f Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 13 Dec 2023 17:47:26 +0100 Subject: [PATCH 120/192] Improve cosmetics. --- climada/hazard/centroids/centr.py | 177 +++++++++++++++--------------- 1 file changed, 91 insertions(+), 86 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 6416460c8d..16c9fe7322 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -359,58 +359,6 @@ def union(self, *others): # remove duplicate points return Centroids.remove_duplicate_points(centroids) - def get_closest_point(self, x_lon, y_lat): - """Returns closest centroid and its index to a given point. - - Parameters - ---------- - x_lon : float - x coord (lon) - y_lat : float - y coord (lat) - - Returns - ------- - x_close : float - x-coordinate (longitude) of closest centroid. - y_close : float - y-coordinate (latitude) of closest centroids. - idx_close : int - Index of centroid in internal ordering of centroids. - """ - close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() - return self.lon[close_idx], self.lat[close_idx], close_idx - - # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER - def get_elevation(self, topo_path): - """Return elevation attribute for every pixel or point in meters. - - Parameters - ---------- - topo_path : str - Path to a raster file containing gridded elevation data. - """ - return u_coord.read_raster_sample(topo_path, self.lat, self.lon) - - def get_dist_coast(self, signed=False, precomputed=False): - """Get dist_coast attribute for every pixel or point in meters. - - Parameters - ---------- - signed : bool - If True, use signed distances (positive off shore and negative on land). Default: False. - precomputed : bool - If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 - Default: False. - """ - ne_geom = self._ne_crs_geom() - if precomputed: - return u_coord.dist_to_coast_nasa( - ne_geom.y.values, ne_geom.x.values, highres=True, signed=signed) - else: - LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) - return u_coord.dist_to_coast(ne_geom, signed=signed) - @classmethod def remove_duplicate_points(cls, centroids): """Return a copy of centroids with removed duplicated points @@ -491,7 +439,7 @@ def select_mask(self, sel_cen=None, reg_id=None, extent=None): return sel_cen #TODO replace with nice Geodataframe util plot method. - def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, **kwargs): + def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, **kwargs): """Plot centroids scatter points over earth. Parameters @@ -523,7 +471,9 @@ def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, **kwargs): else: self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) - u_plot.add_shapes(ax) + if shapes: + u_plot.add_shapes(ax) + plt.tight_layout() return ax @@ -553,6 +503,89 @@ def get_area_pixel(self, min_resol=1.0e-8): area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values return area_pixel + def get_closest_point(self, x_lon, y_lat): + """Returns closest centroid and its index to a given point. + + Parameters + ---------- + x_lon : float + x coord (lon) + y_lat : float + y coord (lat) + + Returns + ------- + x_close : float + x-coordinate (longitude) of closest centroid. + y_close : float + y-coordinate (latitude) of closest centroids. + idx_close : int + Index of centroid in internal ordering of centroids. + """ + close_idx = self.geometry.distance(Point(x_lon, y_lat)).values.argmin() + return self.lon[close_idx], self.lat[close_idx], close_idx + + # NOT REALLY AN ELEVATION FUNCTION, JUST READ RASTER + def get_elevation(self, topo_path): + """Return elevation attribute for every pixel or point in meters. + + Parameters + ---------- + topo_path : str + Path to a raster file containing gridded elevation data. + """ + return u_coord.read_raster_sample(topo_path, self.lat, self.lon) + + def get_dist_coast(self, signed=False, precomputed=False): + """Get dist_coast attribute for every pixel or point in meters. + + Parameters + ---------- + signed : bool + If True, use signed distances (positive off shore and negative on land). Default: False. + precomputed : bool + If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 + Default: False. + """ + ne_geom = self._ne_crs_geom() + if precomputed: + return u_coord.dist_to_coast_nasa( + ne_geom.y.values, ne_geom.x.values, highres=True, signed=signed) + else: + LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) + return u_coord.dist_to_coast(ne_geom, signed=signed) + def get_meta(self, resolution=None): + """ + Returns a meta raster based on the centroids bounds. + + When resolution is None it is estimated from the centroids + by assuming that they form a regular raster. + + Parameters + ---------- + resolution : int, optional + Resolution of the raster. + By default None (resolution is estimated from centroids) + + Returns + ------- + meta: dict + meta raster representation of the centroids + """ + if resolution is None: + resolution = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() + xmin, ymin, xmax, ymax = self.gdf.total_bounds + rows, cols, ras_trans = u_coord.pts_to_raster_meta( + (xmin, ymin, xmax, ymax), (resolution, -resolution) + ) + meta = { + 'crs': self.crs, + 'height': rows, + 'width': cols, + 'transform': ras_trans, + } + return meta + ''' I/O methods @@ -810,6 +843,10 @@ def _legacy_from_hdf5(cls, data): geometry=gpd.points_from_xy(x=longitude, y=latitude, crs=crs) ) + ''' + Private methods + ''' + def _ne_crs_geom(self): """Return `geometry` attribute in the CRS of Natural Earth. @@ -822,38 +859,6 @@ def _ne_crs_geom(self): return self.gdf.geometry return self.gdf.geometry.to_crs(u_coord.NE_CRS) - def get_meta(self, resolution=None): - """ - Returns a meta raster based on the centroids bounds. - - When resolution is None it is estimated from the centroids - by assuming that they form a regular raster. - - Parameters - ---------- - resolution : int, optional - Resolution of the raster. - By default None (resolution is estimated from centroids) - - Returns - ------- - meta: dict - meta raster representation of the centroids - """ - if resolution is None: - resolution = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() - xmin, ymin, xmax, ymax = self.gdf.total_bounds - rows, cols, ras_trans = u_coord.pts_to_raster_meta( - (xmin, ymin, xmax, ymax), (resolution, -resolution) - ) - meta = { - 'crs': self.crs, - 'height': rows, - 'width': cols, - 'transform': ras_trans, - } - return meta - def _set_region_id(self, level='country', overwrite=False): """Set region_id as country ISO numeric code attribute for every pixel or point. From 68063317513769c1e4a13acb766229dbbbf0d2ac Mon Sep 17 00:00:00 2001 From: Igor Detring Date: Thu, 14 Dec 2023 15:42:07 +0100 Subject: [PATCH 121/192] update docstrings, doc cosmetics --- climada/hazard/centroids/centr.py | 71 ++++++++++++++++--------------- 1 file changed, 37 insertions(+), 34 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 16c9fe7322..483f77a1cd 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -83,9 +83,6 @@ class Centroids(): (can be any values, admin0, admin1, custom values) on_land : np.array, optional on land (True) and on sea (False) - kwargs: dicts of np.arrays, optional - any further desired properties of centroids. Is passed to the - GeoDataFrame constructor """ def __init__( @@ -111,8 +108,6 @@ def __init__( country region code of size size, Defaults to None array on_land : np.array, optional on land (True) and on sea (False) of size size. Defaults to None array - kwargs: - columns of values to passed to the geodataframe constructor """ attr_dict = { @@ -131,12 +126,12 @@ def __init__( @property def lat(self): - """ Returns the latitudes """ + """ Return latitudes """ return self.gdf.geometry.y.values @property def lon(self): - """ Returns the longitudes """ + """ Return longitudes """ return self.gdf.geometry.x.values @property @@ -153,7 +148,7 @@ def on_land(self): @property def region_id(self): - """ Get the assigned region_id.""" + """ Get the assigned region_id """ if self.gdf.region_id.isna().all(): return None return self.gdf['region_id'].values @@ -170,7 +165,7 @@ def size(self): @property def shape(self): - """Get shape assuming rastered data.""" + """Get shape [lat, lon] assuming rastered data.""" return (np.unique(self.lat).size, np.unique(self.lon).size) @property @@ -198,15 +193,13 @@ def __eq__(self, other): return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) def to_default_crs(self): - """ - Project the current centroids to the default CRS (epsg4326) + """Project the current centroids to the default CRS (epsg4326) Modifies the object in place. """ self.gdf.to_crs(DEF_CRS, inplace=True) def to_crs(self, crs): - """ - Project the current centroids to the default CRS (epsg4326) + """ Project the current centroids to the default CRS (epsg4326) Modifies the object in place. Parameters @@ -253,8 +246,7 @@ def from_geodataframe(cls, gdf): @classmethod def from_exposures(cls, exposures): - """ - Generate centroids from the location of an exposures. + """Generate centroids from the location of an exposures. Parameters ---------- @@ -336,8 +328,7 @@ def append(self, centr): self.gdf = pd.concat([self.gdf, centr.gdf]) def union(self, *others): - """ - Create the union of centroids from the inputs. + """Create the union of centroids from the inputs. The centroids are combined together point by point. All centroids must have the same CRS. @@ -371,18 +362,19 @@ def remove_duplicate_points(cls, centroids): return cls.from_geodataframe(centroids.gdf.drop_duplicates()) def select(self, reg_id=None, extent=None, sel_cen=None): - """Return Centroids with points in the given reg_id or within mask + """Return Centroids with points in the given reg_id and/or in an + spatial extent and/or in an index based list Parameters ---------- - reg_id : int + reg_id : int, optional region to filter according to region_id values - extent : tuple + extent : tuple, optional Format (min_lon, max_lon, min_lat, max_lat) tuple. If min_lon > lon_max, the extend crosses the antimeridian and is [lon_max, 180] + [-180, lon_min] Borders are inclusive. - sel_cen : np.array + sel_cen : np.array, optional 1-dim mask or 1-dim centroids indices, complements reg_id and extent Returns @@ -402,16 +394,15 @@ def select(self, reg_id=None, extent=None, sel_cen=None): def select_mask(self, sel_cen=None, reg_id=None, extent=None): - """ - Make mask of selected centroids + """Return mask of selected centroids Parameters ---------- - sel_cen: np.array(bool) + sel_cen: np.array(bool), optional boolean array mask for centroids - reg_id : int + reg_id : int, optional region to filter according to region_id values - extent : tuple + extent : tuple, optional Format (min_lon, max_lon, min_lat, max_lat) tuple. If min_lon > lon_max, the extend crosses the antimeridian and is [lon_max, 180] + [-180, lon_min] @@ -440,7 +431,7 @@ def select_mask(self, sel_cen=None, reg_id=None, extent=None): #TODO replace with nice Geodataframe util plot method. def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, **kwargs): - """Plot centroids scatter points over earth. + """Plot centroids scatter points over earth Parameters ---------- @@ -533,6 +524,11 @@ def get_elevation(self, topo_path): ---------- topo_path : str Path to a raster file containing gridded elevation data. + + Returns + ------- + values : np.array of shape (npoints,) + Interpolated elevation values from raster file for each given coordinate point. """ return u_coord.read_raster_sample(topo_path, self.lat, self.lon) @@ -541,11 +537,16 @@ def get_dist_coast(self, signed=False, precomputed=False): Parameters ---------- - signed : bool + signed : bool, optional If True, use signed distances (positive off shore and negative on land). Default: False. - precomputed : bool + precomputed : bool, optional If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 Default: False. + + Returns + ------- + dist : np.array + (Signed) distance to coast in meters. """ ne_geom = self._ne_crs_geom() if precomputed: @@ -554,9 +555,9 @@ def get_dist_coast(self, signed=False, precomputed=False): else: LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) + def get_meta(self, resolution=None): - """ - Returns a meta raster based on the centroids bounds. + """Returns a meta raster based on the centroids bounds. When resolution is None it is estimated from the centroids by assuming that they form a regular raster. @@ -621,6 +622,8 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, resampling : rasterio.warp.Resampling optional resampling function used for reprojection to dst_crs, default: nearest + return_meta : bool, optional + default: False Returns ------- @@ -718,7 +721,7 @@ def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): crs : dict() or rasterio.crs.CRS, optional CRS. Default: DEF_CRS var_names : dict, default - name of the variables + name of the variables. Default: DEF_VAR_EXCEL Raises ------ @@ -867,7 +870,7 @@ def _set_region_id(self, level='country', overwrite=False): level: str defines the admin level on which to assign centroids. Currently only 'country' (admin0) is implemented. Default is 'country'. - overwrite : bool + overwrite : bool, optional if True, overwrites the existing region_id information. if False and region_id is None region_id is computed. """ @@ -922,7 +925,7 @@ def _meta_to_lat_lon(meta): Returns ------- - (np.ndarray, np.ndarray) + tuple(np.ndarray, np.ndarray) latitudes, longitudes """ xgrid, ygrid = u_coord.raster_to_meshgrid( From 25a0930ca9dbc9c7ff9336bc4c2b9ccb02fbc504 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Mon, 18 Dec 2023 12:03:26 +0100 Subject: [PATCH 122/192] update from_csv method, add test --- climada/hazard/centroids/centr.py | 24 +++++++----- climada/hazard/centroids/test/test_centr.py | 43 ++++++++++++++++++++- 2 files changed, 56 insertions(+), 11 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 483f77a1cd..b447f54d55 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -682,9 +682,8 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids.gdf.set_crs(dst_crs, inplace=True) return centroids - #TODO: Check whether other variables are necessary, e.g. dist to coast @classmethod - def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): + def from_csv(cls, file_path): """ Generate centroids from a csv file with column names in var_names. @@ -692,22 +691,27 @@ def from_csv(cls, file_path, crs=DEF_CRS, var_names=None): ---------- file_path : str path to csv file to be read - crs : dict() or rasterio.crs.CRS, optional - CRS. Default: DEF_CRS - var_names : dict, default - name of the variables. Default: DEF_VAR_CSV Returns ------- Centroids Centroids with data from the given csv file """ - if var_names is None: - var_names = DEF_VAR_CSV df = pd.read_csv(file_path) - df = df.rename(columns=var_names) - return cls(**dict(df.items()), crs=crs) + if 'crs' in df.columns: + crs = df['crs'].iloc[0] + else: + crs = DEF_CRS + if 'region_id' in df.columns: + region_id = df['region_id'] + else: + region_id = None + if 'on_land' in df.columns: + on_land = df['on_land'] + else: + on_land = None + return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) @classmethod diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index e468571992..8a9bcb1e83 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -24,6 +24,8 @@ import numpy as np import geopandas as gpd import shapely +import csv +from pyproj.crs.crs import CRS from climada import CONFIG from climada.hazard.centroids.centr import Centroids @@ -96,7 +98,46 @@ def test_to_crs(self): class TestCentroidsReader(unittest.TestCase): """Test read functions Centroids""" - def test_centroid_pass(self): + def test_from_csv(self): + """Read a centroid csv file correctly""" + tmpfile = Path('test_write_csv.csv') + test_crs = CRS.from_user_input(4326).to_wkt() + sample_data = [ + ["lon", "lat", "crs"], + [32.57, -25.95, test_crs], + [32.46, -25.97], + [34.84, -19.83], + [39.24, -15.13], + [33.47, -19.12], + [40.68, -14.56], + [36.89, -17.88], + [33.58, -16.17], + [33.64, -25.04], + [36.98, -15.46], + [35.34, -23.87], + [35.24, -13.3], + [40.48, -12.96], + [34.73, -19.62], + [39.91, -16.23] + ] + + with open(tmpfile, 'w') as temp_csv: + writer = csv.writer(temp_csv) + writer.writerows(sample_data) + + centroids = Centroids.from_csv(tmpfile) + + n_centroids = 15 + self.assertEqual(centroids.coord.shape[0], n_centroids) + self.assertEqual(centroids.coord.shape[1], 2) + self.assertEqual(centroids.coord[0][0], -25.95) + self.assertEqual(centroids.coord[0][1], 32.57) + self.assertEqual(centroids.coord[n_centroids - 1][0], -16.23) + self.assertEqual(centroids.coord[n_centroids - 1][1], 39.91) + + Path(tmpfile).unlink() + + def test_from_excel(self): """Read a centroid excel file correctly.""" centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS) From 5849acb015fa0a8579aa64ec36149defe641f7ba Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Mon, 18 Dec 2023 14:13:28 +0100 Subject: [PATCH 123/192] remove DEF_VAR_CSV --- climada/hazard/centroids/centr.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index b447f54d55..139f6872d7 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -58,12 +58,6 @@ } """Excel variable names""" -DEF_VAR_CSV = { - 'lat': 'latitude', - 'lon': 'longitude', -} -"""CSV variable names""" - LOGGER = logging.getLogger(__name__) From 84107ee3bf7b8ee09c41edb0f998ad1f11f9c333 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Wed, 20 Dec 2023 12:14:14 +0100 Subject: [PATCH 124/192] Update from_excel method and test --- climada/hazard/centroids/centr.py | 47 +++++++-------------- climada/hazard/centroids/test/test_centr.py | 37 ++++++++++++++-- 2 files changed, 48 insertions(+), 36 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 139f6872d7..795f370f37 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -44,20 +44,6 @@ PROJ_CEA = CRS.from_user_input({'proj': 'cea'}) -DEF_VAR_EXCEL = { - 'sheet_name': 'centroids', - 'col_name': { - 'region_id': 'region_id', - 'latitude': 'lat', - 'longitude': 'lon', - 'on_land': 'on_land', - 'dist_coast': 'dist_coast', - 'elevation': 'elevation', - ' area_pixel': 'area_pixel' - } -} -"""Excel variable names""" - LOGGER = logging.getLogger(__name__) @@ -696,6 +682,7 @@ def from_csv(cls, file_path): if 'crs' in df.columns: crs = df['crs'].iloc[0] else: + LOGGER.info(f'No \'crs\' column provided in file, setting CRS to WGS84 default.') crs = DEF_CRS if 'region_id' in df.columns: region_id = df['region_id'] @@ -709,17 +696,15 @@ def from_csv(cls, file_path): @classmethod - def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): + def from_excel(cls, file_path, sheet_name): """Generate a new centroids object from an excel file with column names in var_names. Parameters ---------- file_name : str absolute or relative file path - crs : dict() or rasterio.crs.CRS, optional - CRS. Default: DEF_CRS - var_names : dict, default - name of the variables. Default: DEF_VAR_EXCEL + sheet_name : str + name of sheet in excel file containing centroid information Raises ------ @@ -731,24 +716,22 @@ def from_excel(cls, file_path, crs=DEF_CRS, var_names=None): Centroids with data from the given excel file """ - if var_names is None: - var_names = DEF_VAR_EXCEL + df = pd.read_excel(file_path, sheet_name) + + if 'crs' in df.columns: + crs = df['crs'].iloc[0] else: - assert isinstance(var_names, dict), 'var_names must be a dict' - assert 'sheet_name' in var_names, 'sheet_name must be a key in the var_names dict' - assert 'col_name' in var_names, 'col_name must be a key in the var_names dict' - - data = pd.read_excel(file_path, var_names['sheet_name']) - data = data.rename(columns=var_names['col_name']) - if 'region_id' in data.columns: - region_id = data['region_id'] + LOGGER.info(f'No \'crs\' column provided in file, setting CRS to WGS84 default.') + crs = DEF_CRS + if 'region_id' in df.columns: + region_id = df['region_id'] else: region_id = None - if 'on_land' in data.columns: - on_land = data['on_land'] + if 'on_land' in df.columns: + on_land = df['on_land'] else: on_land = None - return cls(lat=data['lat'], lon=data['lon'], region_id=region_id, on_land=on_land, crs=crs) + return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 8a9bcb1e83..515d0b7968 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -22,6 +22,7 @@ from pathlib import Path import numpy as np +import pandas as pd import geopandas as gpd import shapely import csv @@ -134,20 +135,48 @@ def test_from_csv(self): self.assertEqual(centroids.coord[0][1], 32.57) self.assertEqual(centroids.coord[n_centroids - 1][0], -16.23) self.assertEqual(centroids.coord[n_centroids - 1][1], 39.91) + self.assertEqual(centroids.crs, 'epsg:4326') Path(tmpfile).unlink() def test_from_excel(self): """Read a centroid excel file correctly.""" - centroids = Centroids.from_excel(HAZ_TEMPLATE_XLS) + tmpfile = Path('test_write_excel.xlsx') + test_crs = CRS.from_user_input(4326).to_wkt() + sample_data = [ + [32.57, -25.95, test_crs], + [32.46, -25.97], + [34.84, -19.83], + [39.24, -15.13], + [33.47, -19.12], + [40.68, -14.56], + [36.89, -17.88], + [33.58, -16.17], + [33.64, -25.04], + [36.98, -15.46], + [35.34, -23.87], + [35.24, -13.3], + [40.48, -12.96], + [34.73, -19.62], + [39.91, -16.23] + ] + + df = pd.DataFrame(sample_data, columns = ["lon", "lat", "crs"],) - n_centroids = 45 + df.to_excel(tmpfile, sheet_name = 'centroids', index=False) + + centroids = Centroids.from_excel(file_path=tmpfile, sheet_name='centroids') + + n_centroids = 15 self.assertEqual(centroids.coord.shape[0], n_centroids) self.assertEqual(centroids.coord.shape[1], 2) self.assertEqual(centroids.coord[0][0], -25.95) self.assertEqual(centroids.coord[0][1], 32.57) - self.assertEqual(centroids.coord[n_centroids - 1][0], -24.7) - self.assertEqual(centroids.coord[n_centroids - 1][1], 33.88) + self.assertEqual(centroids.coord[n_centroids - 1][0], -16.23) + self.assertEqual(centroids.coord[n_centroids - 1][1], 39.91) + self.assertEqual(centroids.crs, 'epsg:4326') + + Path(tmpfile).unlink() def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" From bfb24d724daa4026673a8ccc98ab2785540bbf0b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Wed, 20 Dec 2023 13:49:31 +0100 Subject: [PATCH 125/192] remove unnecessary import --- climada/hazard/centroids/test/test_centr.py | 1 - 1 file changed, 1 deletion(-) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 515d0b7968..49fad1f453 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -30,7 +30,6 @@ from climada import CONFIG from climada.hazard.centroids.centr import Centroids -from climada.util.constants import HAZ_TEMPLATE_XLS from climada.util.constants import DEF_CRS import climada.util.coordinates as u_coord from climada.entity import Exposures From 67a1d602a5d53f299dfb572903ffbeb4ff05cc18 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Wed, 20 Dec 2023 15:59:18 +0100 Subject: [PATCH 126/192] fix storm_europe tests --- .../hazard/test/data/fp_centroids-test.xls | Bin 737792 -> 736768 bytes climada/hazard/test/test_storm_europe.py | 9 +++------ 2 files changed, 3 insertions(+), 6 deletions(-) diff --git a/climada/hazard/test/data/fp_centroids-test.xls b/climada/hazard/test/data/fp_centroids-test.xls index 0df4fae2ba79ab873eadacb8777797143d7cd9d3..270daf2f55d52def1bca45bbe31e1554ba971347 100644 GIT binary patch delta 28794 zcma*wVOUgE_%8f4%nUPth(t(4glLFFghYgBh(tzeghob0L_|nLNQg*=G@_Cc5z&N% zL}+AaL`H-=BqBm2BSTU$GDIUHGBhP6HR9}b-~abL=fnAMx~_SC`&sLL_RO9c1uUD5 zTYNVDd)w=CZ>-b{{xeO8|0X9VWkbsrUbVhM@mpxKMf1k&Id)Toh)P(K@XU<+|9vhq zX|*|YcC>lxoO&$-|Hnd(jI@|$Yp$2m8fKl7Yxe%EWZ`6;g(8-DTnS*Niyx8CmLY^gq& zOOrE%_*6bD^&eg1jML(JVQD`9f8A~PpIzVo>uwWv4dzH+CugI2GMxEMd;2n*G8>`W zj$JFW$v4|Pb*`1U)7wsCW44>?m?YMS84Xh&O4C?;Jl~uX<*Ct_tD`&?dWklTQN0Nf@P~!?S9pk@ 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z?Irb=r`~p`H}ywqh?mt{fqHvIy%nmrSJm52^|njB6{)w~`r?&$OfOT9pGz9Oa;T4*6r^g#6id zvR8jdocNbNG4WBuzv|ChwBk?uvp3B)Gj26)H#5#Ky>Djpwy27#zM%eiM4kNMgtPuX MKNrv>e=gwv1Mm|&W&i*H diff --git a/climada/hazard/test/test_storm_europe.py b/climada/hazard/test/test_storm_europe.py index f928e9db47..f919cbaa45 100644 --- a/climada/hazard/test/test_storm_europe.py +++ b/climada/hazard/test/test_storm_europe.py @@ -27,7 +27,7 @@ from climada import CONFIG from climada.hazard.storm_europe import StormEurope, generate_WS_forecast_hazard -from climada.hazard.centroids.centr import DEF_VAR_EXCEL, Centroids +from climada.hazard.centroids.centr import Centroids from climada.util.constants import WS_DEMO_NC @@ -63,12 +63,9 @@ def test_read_with_ref(self): def test_read_with_cent(self): """Test from_footprints while passing in a Centroids object""" - var_names = copy.deepcopy(DEF_VAR_EXCEL) - var_names['sheet_name'] = 'fp_centroids-test' - var_names['col_name']['iso_n3'] = 'region_id' test_centroids = Centroids.from_excel( - DATA_DIR.joinpath('fp_centroids-test.xls'), - var_names=var_names + file_path=DATA_DIR.joinpath('fp_centroids-test.xls'), + sheet_name='fp_centroids-test' ) storms = StormEurope.from_footprints(WS_DEMO_NC, centroids=test_centroids) From 8f25d1ffd37e8ff418afea110896c4ca1264b668 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Wed, 3 Jan 2024 11:20:15 +0100 Subject: [PATCH 127/192] improve csv and excel tests --- climada/hazard/centroids/centr.py | 9 +- climada/hazard/centroids/test/test_centr.py | 130 ++++++++++---------- 2 files changed, 72 insertions(+), 67 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 795f370f37..bf91534c2c 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -696,15 +696,16 @@ def from_csv(cls, file_path): @classmethod - def from_excel(cls, file_path, sheet_name): + def from_excel(cls, file_path, sheet_name=None): """Generate a new centroids object from an excel file with column names in var_names. Parameters ---------- file_name : str absolute or relative file path - sheet_name : str + sheet_name : str, optional name of sheet in excel file containing centroid information + Default: "centroids" Raises ------ @@ -715,7 +716,9 @@ def from_excel(cls, file_path, sheet_name): centr : Centroids Centroids with data from the given excel file """ - + if sheet_name is None: + sheet_name = 'centroids' + df = pd.read_excel(file_path, sheet_name) if 'crs' in df.columns: diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 49fad1f453..e43b966146 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -98,83 +98,85 @@ def test_to_crs(self): class TestCentroidsReader(unittest.TestCase): """Test read functions Centroids""" + def test_from_csv_def_crs(self): + """Read a centroid csv file correctly and use default CRS.""" + # Create temporary csv file containing centroids data + tmpfile = Path('test_write_csv.csv') + lat = np.array([0, 90, -90, 0, 0]) + lon = np.array([0, 0, 0, 180, -180]) + df = pd.DataFrame({'lat':lat, 'lon':lon}) + df.to_csv(tmpfile, index=False) + + # Read centroids using from_csv method + centroids = Centroids.from_csv(tmpfile) + + # test attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + self.assertEqual(centroids.crs, DEF_CRS) + + #delete file + Path(tmpfile).unlink() + def test_from_csv(self): - """Read a centroid csv file correctly""" + """Read a centroid csv file which contains CRS information.""" tmpfile = Path('test_write_csv.csv') - test_crs = CRS.from_user_input(4326).to_wkt() - sample_data = [ - ["lon", "lat", "crs"], - [32.57, -25.95, test_crs], - [32.46, -25.97], - [34.84, -19.83], - [39.24, -15.13], - [33.47, -19.12], - [40.68, -14.56], - [36.89, -17.88], - [33.58, -16.17], - [33.64, -25.04], - [36.98, -15.46], - [35.34, -23.87], - [35.24, -13.3], - [40.48, -12.96], - [34.73, -19.62], - [39.91, -16.23] - ] - - with open(tmpfile, 'w') as temp_csv: - writer = csv.writer(temp_csv) - writer.writerows(sample_data) + lat = np.array([0, 20048966.1, -20048966, 0, 0]) + lon = np.array([0, 0, 0, 20037508.34, -20037508.34]) + df = pd.DataFrame({'lat':lat, 'lon':lon}) + df['crs'] = CRS.from_user_input(3857).to_wkt() + df.to_csv(tmpfile, index=False) + # Read centroids using from_csv method centroids = Centroids.from_csv(tmpfile) - n_centroids = 15 - self.assertEqual(centroids.coord.shape[0], n_centroids) - self.assertEqual(centroids.coord.shape[1], 2) - self.assertEqual(centroids.coord[0][0], -25.95) - self.assertEqual(centroids.coord[0][1], 32.57) - self.assertEqual(centroids.coord[n_centroids - 1][0], -16.23) - self.assertEqual(centroids.coord[n_centroids - 1][1], 39.91) - self.assertEqual(centroids.crs, 'epsg:4326') + # test attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + self.assertEqual(centroids.crs, 'epsg:3857') + #delete file + Path(tmpfile).unlink() + + def test_from_excel_def_crs(self): + """Read a centroid excel file correctly and use default CRS.""" + # Create temporary excel file containing centroids data + tmpfile = Path('test_write_excel.xlsx') + lat = np.array([0, 90, -90, 0, 0]) + lon = np.array([0, 0, 0, 180, -180]) + df = pd.DataFrame({'lat':lat, 'lon':lon}) + df.to_excel(tmpfile, sheet_name = 'centroids', index=False) + + # Read centroids using from_excel method + centroids = Centroids.from_excel(file_path=tmpfile) + + # test attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + self.assertEqual(centroids.crs, DEF_CRS) + + #delete file Path(tmpfile).unlink() def test_from_excel(self): - """Read a centroid excel file correctly.""" + """Read a centroid excel file correctly which contains CRS information.""" + # Create temporary excel file containing centroids data tmpfile = Path('test_write_excel.xlsx') - test_crs = CRS.from_user_input(4326).to_wkt() - sample_data = [ - [32.57, -25.95, test_crs], - [32.46, -25.97], - [34.84, -19.83], - [39.24, -15.13], - [33.47, -19.12], - [40.68, -14.56], - [36.89, -17.88], - [33.58, -16.17], - [33.64, -25.04], - [36.98, -15.46], - [35.34, -23.87], - [35.24, -13.3], - [40.48, -12.96], - [34.73, -19.62], - [39.91, -16.23] - ] - - df = pd.DataFrame(sample_data, columns = ["lon", "lat", "crs"],) - + lat = np.array([0, 20048966.1, -20048966, 0, 0]) + lon = np.array([0, 0, 0, 20037508.34, -20037508.34]) + df = pd.DataFrame({'lat':lat, 'lon':lon}) + df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - centroids = Centroids.from_excel(file_path=tmpfile, sheet_name='centroids') - - n_centroids = 15 - self.assertEqual(centroids.coord.shape[0], n_centroids) - self.assertEqual(centroids.coord.shape[1], 2) - self.assertEqual(centroids.coord[0][0], -25.95) - self.assertEqual(centroids.coord[0][1], 32.57) - self.assertEqual(centroids.coord[n_centroids - 1][0], -16.23) - self.assertEqual(centroids.coord[n_centroids - 1][1], 39.91) - self.assertEqual(centroids.crs, 'epsg:4326') + # Read centroids using from_excel method + centroids = Centroids.from_excel(file_path=tmpfile) + + # test attributes + np.testing.assert_array_equal(centroids.lat, lat) + np.testing.assert_array_equal(centroids.lon, lon) + self.assertEqual(centroids.crs, 'epsg:3857') + #delete file Path(tmpfile).unlink() def test_from_geodataframe(self): From 0f54053703c2ea90054c037469cf64826a682075 Mon Sep 17 00:00:00 2001 From: "Chahan M. Kropf" Date: Wed, 3 Jan 2024 12:58:41 +0100 Subject: [PATCH 128/192] Apply suggestions from code review Co-authored-by: Lukas Riedel <34276446+peanutfun@users.noreply.github.com> --- climada/hazard/centroids/centr.py | 23 ++++++++++++----------- 1 file changed, 12 insertions(+), 11 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index bf91534c2c..383407c7c8 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -68,11 +68,11 @@ class Centroids(): def __init__( self, *, - lat: Union[np.ndarray, list], - lon: Union[np.ndarray, list], + lat: Union[np.ndarray, list[float]], + lon: Union[np.ndarray, list[float]], crs: str = DEF_CRS, - region_id: Union[str('country'), None, np.ndarray, list] = None, - on_land: Union[str('natural_earth'), None, np.ndarray, list] = None, + region_id: Union[Literal["country"], None, np.ndarray, list[float]] = None, + on_land: Union[Literal["natural_earth"], None, np.ndarray, list[float]] = None, ): """Initialization @@ -90,12 +90,13 @@ def __init__( on land (True) and on sea (False) of size size. Defaults to None array """ - attr_dict = { - 'geometry': gpd.points_from_xy(lon, lat, crs=crs), - 'region_id': region_id, - 'on_land': on_land - } - self.gdf = gpd.GeoDataFrame(data=attr_dict) + self.gdf = gpd.GeoDataFrame( + data={ + 'geometry': gpd.points_from_xy(lon, lat, crs=crs), + 'region_id': region_id, + 'on_land': on_land, + } + ) if isinstance(region_id, str): LOGGER.info(f'Setting region id to {region_id} level.') @@ -140,7 +141,7 @@ def crs(self): @property def size(self): - """Get size (number of lat/lon paris)""" + """Get size (number of lat/lon pairs)""" return self.gdf.shape[0] @property From c4bb5408b1b9c0d619dceec7095106a35e384d9e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Thu, 4 Jan 2024 10:32:02 +0100 Subject: [PATCH 129/192] add excel, csv write methods and tests --- climada/hazard/centroids/centr.py | 45 +++++++++++++++++--- climada/hazard/centroids/test/test_centr.py | 46 ++++++++++++++++++++- 2 files changed, 84 insertions(+), 7 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index bf91534c2c..975a399dc0 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -664,18 +664,17 @@ def from_vector_file(cls, file_name, dst_crs=None): @classmethod def from_csv(cls, file_path): - """ - Generate centroids from a csv file with column names in var_names. + """Generate centroids from a CSV file with column names in var_names. Parameters ---------- file_path : str - path to csv file to be read + path to CSV file to be read Returns ------- Centroids - Centroids with data from the given csv file + Centroids with data from the given CSV file """ df = pd.read_csv(file_path) @@ -694,6 +693,23 @@ def from_csv(cls, file_path): on_land = None return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) + def write_csv(self, file_path): + """Save centroids as CSV file + + Parameters + ---------- + file_path : str + absolute or relative file path and name to write to + """ + LOGGER.info('Writing %s', file_path) + df = pd.DataFrame(self.gdf) + df['lon'] = self.gdf['geometry'].x + df['lat'] = self.gdf['geometry'].y + df = df.drop(['geometry'], axis=1) + crs = CRS.from_user_input(self.crs).to_wkt() + df['crs'] = crs + df.to_csv(file_path, index=False) + @classmethod def from_excel(cls, file_path, sheet_name=None): @@ -701,7 +717,7 @@ def from_excel(cls, file_path, sheet_name=None): Parameters ---------- - file_name : str + file_path : str absolute or relative file path sheet_name : str, optional name of sheet in excel file containing centroid information @@ -718,7 +734,7 @@ def from_excel(cls, file_path, sheet_name=None): """ if sheet_name is None: sheet_name = 'centroids' - + df = pd.read_excel(file_path, sheet_name) if 'crs' in df.columns: @@ -735,6 +751,23 @@ def from_excel(cls, file_path, sheet_name=None): else: on_land = None return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) + + def write_excel(self, file_path): + """Save centroids as excel file + + Parameters + ---------- + file_path : str + absolute or relative file path and name to write to + """ + LOGGER.info('Writing %s', file_path) + df = pd.DataFrame(self.gdf) + df['lon'] = self.gdf['geometry'].x + df['lat'] = self.gdf['geometry'].y + df = df.drop(['geometry'], axis=1) + crs = CRS.from_user_input(self.crs).to_wkt() + df['crs'] = crs + df.to_excel(file_path, sheet_name='centroids', index=False) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index e43b966146..798b281e39 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -130,11 +130,33 @@ def test_from_csv(self): # Read centroids using from_csv method centroids = Centroids.from_csv(tmpfile) - # test attributes + # Test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) self.assertEqual(centroids.crs, 'epsg:3857') + # Delete file + Path(tmpfile).unlink() + + def test_write_read_csv(self): + """Write and read a Centroids CSV file correctly.""" + # Create Centroids with latitude and longitude arrays + tmpfile = Path('test_write_csv.csv') + lat = np.array([10.0, 20.0, 30.0]) + lon = np.array([-10.0, -20.0, -30.0]) + centroids_out = Centroids(lat=lat, lon=lon) + + # Write CSV file from Centroids using write_csv + centroids_out.write_csv(tmpfile) + + # Read CSV file using read_csv + centroids_in = Centroids.from_csv(tmpfile) + + # Test attributes + np.testing.assert_array_equal(centroids_in.lat, centroids_out.lat) + np.testing.assert_array_equal(centroids_in.lon, centroids_out.lon) + self.assertEqual(centroids_in.crs, centroids_out.crs) + #delete file Path(tmpfile).unlink() @@ -179,6 +201,28 @@ def test_from_excel(self): #delete file Path(tmpfile).unlink() + def test_write_read_excel(self): + """Write and read a Centroids Excel file correctly.""" + # Create Centroids with latitude and longitude arrays + tmpfile = Path('test_write_excel.xlsx') + lat = np.array([10.0, 20.0, 30.0]) + lon = np.array([-10.0, -20.0, -30.0]) + centroids_out = Centroids(lat=lat, lon=lon) + + # Write Excel file from Centroids using write_csv + centroids_out.write_excel(tmpfile) + + # Read Excel file using read_csv + centroids_in = Centroids.from_excel(tmpfile) + + # Test attributes + np.testing.assert_array_equal(centroids_in.lat, centroids_out.lat) + np.testing.assert_array_equal(centroids_in.lon, centroids_out.lon) + self.assertEqual(centroids_in.crs, centroids_out.crs) + + #delete file + Path(tmpfile).unlink() + def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" crs = DEF_CRS From c7e6ffd28b6a5588a4f848fce0a7ab0653d0aab8 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 4 Jan 2024 17:19:22 +0100 Subject: [PATCH 130/192] Replace gdf with _gdf --- climada/hazard/centroids/centr.py | 91 +++++++++++---------- climada/hazard/centroids/test/test_centr.py | 24 +++--- 2 files changed, 61 insertions(+), 54 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 19713b45f1..3fe17d20a3 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -22,7 +22,7 @@ import copy import logging from pathlib import Path -from typing import Union +from typing import Union, Literal import warnings import h5py @@ -46,6 +46,8 @@ LOGGER = logging.getLogger(__name__) +DEF_COLS = ['region_id', 'on_land', 'geometry'] + class Centroids(): """Contains raster or vector centroids. @@ -90,7 +92,7 @@ def __init__( on land (True) and on sea (False) of size size. Defaults to None array """ - self.gdf = gpd.GeoDataFrame( + self._gdf = gpd.GeoDataFrame( data={ 'geometry': gpd.points_from_xy(lon, lat, crs=crs), 'region_id': region_id, @@ -108,41 +110,41 @@ def __init__( @property def lat(self): """ Return latitudes """ - return self.gdf.geometry.y.values + return self._gdf.geometry.y.values @property def lon(self): """ Return longitudes """ - return self.gdf.geometry.x.values + return self._gdf.geometry.x.values @property def geometry(self): """ Return the geometry """ - return self.gdf['geometry'] + return self._gdf['geometry'] @property def on_land(self): """ Get the on_land property """ - if self.gdf.on_land.isna().all(): + if self._gdf.on_land.isna().all(): return None - return self.gdf['on_land'].values + return self._gdf['on_land'].values @property def region_id(self): """ Get the assigned region_id """ - if self.gdf.region_id.isna().all(): + if self._gdf.region_id.isna().all(): return None - return self.gdf['region_id'].values + return self._gdf['region_id'].values @property def crs(self): """ Get the crs""" - return self.gdf.crs + return self._gdf.crs @property def size(self): """Get size (number of lat/lon pairs)""" - return self.gdf.shape[0] + return self._gdf.shape[0] @property def shape(self): @@ -152,7 +154,7 @@ def shape(self): @property def total_bounds(self): """Get total bounds (minx, miny, maxx, maxy).""" - return self.gdf.total_bounds + return self._gdf.total_bounds @property def coord(self): @@ -171,15 +173,15 @@ def __eq__(self, other): ------- eq : bool """ - return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) + return self._gdf.equals(other._gdf) & u_coord.equal_crs(self.crs, other.crs) - def to_default_crs(self): + def to_default_crs(self, inplace=True): """Project the current centroids to the default CRS (epsg4326) Modifies the object in place. """ - self.gdf.to_crs(DEF_CRS, inplace=True) + self.to_crs(DEF_CRS, inplace=inplace) - def to_crs(self, crs): + def to_crs(self, crs, inplace=True): """ Project the current centroids to the default CRS (epsg4326) Modifies the object in place. @@ -193,7 +195,9 @@ def to_crs(self, crs): Centroids Centroids in the new crs """ - return Centroids.from_geodataframe(self.gdf.to_crs(crs)) + if inplace: + self._gdf.to_crs(DEF_CRS, inplace=True) + return Centroids.from_geodataframe(self._gdf.to_crs(crs)) @classmethod def from_geodataframe(cls, gdf): @@ -220,9 +224,10 @@ def from_geodataframe(cls, gdf): # This is a bit ugly, but avoids to recompute the geometries # in the init. For large datasets this saves computation time centroids = cls(lat=[1], lon=[1]) #make "empty" centroids - centroids.gdf = gdf + columns = [col for col in gdf.columns if col in DEF_COLS] + centroids._gdf = gdf[columns] if not gdf.crs: - centroids.gdf.set_crs(DEF_CRS, inplace=True) + centroids._gdf.set_crs(DEF_CRS, inplace=True) return centroids @classmethod @@ -306,7 +311,7 @@ def append(self, centr): if not u_coord.equal_crs(self.crs, centr.crs): raise ValueError( "The centroids have different Coordinate-Reference-Systems (CRS)") - self.gdf = pd.concat([self.gdf, centr.gdf]) + self._gdf = pd.concat([self._gdf, centr._gdf]) def union(self, *others): """Create the union of centroids from the inputs. @@ -340,10 +345,10 @@ def remove_duplicate_points(cls, centroids): : Centroids Sub-selection of centroids withtout duplicates """ - return cls.from_geodataframe(centroids.gdf.drop_duplicates()) + return cls.from_geodataframe(centroids._gdf.drop_duplicates()) def select(self, reg_id=None, extent=None, sel_cen=None): - """Return Centroids with points in the given reg_id and/or in an + """Return Centroids with points in the given reg_id and/or in an spatial extent and/or in an index based list Parameters @@ -371,7 +376,7 @@ def select(self, reg_id=None, extent=None, sel_cen=None): sel_cen_bool[np.unique(sel_cen)] = True sel_cen_mask = self.select_mask(sel_cen=sel_cen_bool, reg_id=reg_id, extent=extent) - return Centroids.from_geodataframe(self.gdf[sel_cen_mask]) + return Centroids.from_geodataframe(self._gdf[sel_cen_mask]) def select_mask(self, sel_cen=None, reg_id=None, extent=None): @@ -439,9 +444,9 @@ def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, proj_plot = ccrs.PlateCarree(central_longitude=0.5 * (xmin + xmax)) if ax is None: - ax = self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) + ax = self._gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) else: - self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) + self._gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) if shapes: u_plot.add_shapes(ax) @@ -536,7 +541,7 @@ def get_dist_coast(self, signed=False, precomputed=False): else: LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) - + def get_meta(self, resolution=None): """Returns a meta raster based on the centroids bounds. @@ -556,7 +561,7 @@ def get_meta(self, resolution=None): """ if resolution is None: resolution = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() - xmin, ymin, xmax, ymax = self.gdf.total_bounds + xmin, ymin, xmax, ymax = self._gdf.total_bounds rows, cols, ras_trans = u_coord.pts_to_raster_meta( (xmin, ymin, xmax, ymax), (resolution, -resolution) ) @@ -658,9 +663,9 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids = cls.from_geodataframe(gpd.read_file(file_name)) if dst_crs is not None: if centroids.crs: - centroids.gdf.to_crs(dst_crs, inplace=True) + centroids._gdf.to_crs(dst_crs, inplace=True) else: - centroids.gdf.set_crs(dst_crs, inplace=True) + centroids._gdf.set_crs(dst_crs, inplace=True) return centroids @classmethod @@ -703,9 +708,9 @@ def write_csv(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = pd.DataFrame(self.gdf) - df['lon'] = self.gdf['geometry'].x - df['lat'] = self.gdf['geometry'].y + df = pd.DataFrame(self._gdf) + df['lon'] = self._gdf['geometry'].x + df['lat'] = self._gdf['geometry'].y df = df.drop(['geometry'], axis=1) crs = CRS.from_user_input(self.crs).to_wkt() df['crs'] = crs @@ -752,7 +757,7 @@ def from_excel(cls, file_path, sheet_name=None): else: on_land = None return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) - + def write_excel(self, file_path): """Save centroids as excel file @@ -762,9 +767,9 @@ def write_excel(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = pd.DataFrame(self.gdf) - df['lon'] = self.gdf['geometry'].x - df['lat'] = self.gdf['geometry'].y + df = pd.DataFrame(self._gdf) + df['lon'] = self._gdf['geometry'].x + df['lat'] = self._gdf['geometry'].y df = df.drop(['geometry'], axis=1) crs = CRS.from_user_input(self.crs).to_wkt() df['crs'] = crs @@ -780,10 +785,10 @@ def write_hdf5(self, file_name, mode='w'): """ LOGGER.info('Writing %s', file_name) store = pd.HDFStore(file_name, mode=mode) - pandas_df = pd.DataFrame(self.gdf) + pandas_df = pd.DataFrame(self._gdf) for col in pandas_df.columns: if str(pandas_df[col].dtype) == "geometry": - pandas_df[col] = np.asarray(self.gdf[col]) + pandas_df[col] = np.asarray(self._gdf[col]) # Avoid pandas PerformanceWarning when writing HDF5 data with warnings.catch_warnings(): @@ -876,9 +881,9 @@ def _ne_crs_geom(self): ------- geo : gpd.GeoSeries """ - if u_coord.equal_crs(self.gdf.crs, u_coord.NE_CRS): - return self.gdf.geometry - return self.gdf.geometry.to_crs(u_coord.NE_CRS) + if u_coord.equal_crs(self._gdf.crs, u_coord.NE_CRS): + return self._gdf.geometry + return self._gdf.geometry.to_crs(u_coord.NE_CRS) def _set_region_id(self, level='country', overwrite=False): """Set region_id as country ISO numeric code attribute for every pixel or point. @@ -896,7 +901,7 @@ def _set_region_id(self, level='country', overwrite=False): LOGGER.debug('Setting region_id %s points.', str(self.size)) if level == 'country': ne_geom = self._ne_crs_geom() - self.gdf['region_id'] = u_coord.get_country_code( + self._gdf['region_id'] = u_coord.get_country_code( ne_geom.y.values, ne_geom.x.values ) else: @@ -923,7 +928,7 @@ def _set_on_land(self, source='natural_earth', overwrite=False): LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) if source=='natural_earth': ne_geom = self._ne_crs_geom() - self.gdf['on_land'] = u_coord.coord_on_land( + self._gdf['on_land'] = u_coord.coord_on_land( ne_geom.y.values, ne_geom.x.values ) else: diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 798b281e39..b14605fe34 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -136,8 +136,8 @@ def test_from_csv(self): self.assertEqual(centroids.crs, 'epsg:3857') # Delete file - Path(tmpfile).unlink() - + Path(tmpfile).unlink() + def test_write_read_csv(self): """Write and read a Centroids CSV file correctly.""" # Create Centroids with latitude and longitude arrays @@ -158,8 +158,8 @@ def test_write_read_csv(self): self.assertEqual(centroids_in.crs, centroids_out.crs) #delete file - Path(tmpfile).unlink() - + Path(tmpfile).unlink() + def test_from_excel_def_crs(self): """Read a centroid excel file correctly and use default CRS.""" # Create temporary excel file containing centroids data @@ -168,10 +168,10 @@ def test_from_excel_def_crs(self): lon = np.array([0, 0, 0, 180, -180]) df = pd.DataFrame({'lat':lat, 'lon':lon}) df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - + # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) - + # test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) @@ -179,7 +179,7 @@ def test_from_excel_def_crs(self): #delete file Path(tmpfile).unlink() - + def test_from_excel(self): """Read a centroid excel file correctly which contains CRS information.""" # Create temporary excel file containing centroids data @@ -189,10 +189,10 @@ def test_from_excel(self): df = pd.DataFrame({'lat':lat, 'lon':lon}) df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - + # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) - + # test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) @@ -221,7 +221,7 @@ def test_write_read_excel(self): self.assertEqual(centroids_in.crs, centroids_out.crs) #delete file - Path(tmpfile).unlink() + Path(tmpfile).unlink() def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" @@ -229,11 +229,13 @@ def test_from_geodataframe(self): lat = np.arange(170, 180) lon = np.arange(-50, -40) region_id = np.arange(1, 11) + on_land = np.ones(10) extra = np.repeat(str('a'), 10) gdf = gpd.GeoDataFrame({ 'geometry' : gpd.points_from_xy(lon, lat), 'region_id' : region_id, + 'on_land': on_land, 'extra' : extra }, crs=crs) @@ -242,7 +244,7 @@ def test_from_geodataframe(self): for name, array in zip(['lat', 'lon', 'region_id'], [lat, lon, region_id]): np.testing.assert_array_equal(array, getattr(centroids, name)) - np.testing.assert_array_equal(extra, centroids.gdf.extra.values) + self.assertTrue('extra' not in centroids._gdf.columns) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) def test_from_geodataframe_invalid(self): From 79cd84bf2d68fde07616bb581d9d70324340b540 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 4 Jan 2024 17:35:54 +0100 Subject: [PATCH 131/192] Revert "Replace gdf with _gdf" This reverts commit c7e6ffd28b6a5588a4f848fce0a7ab0653d0aab8. --- climada/hazard/centroids/centr.py | 91 ++++++++++----------- climada/hazard/centroids/test/test_centr.py | 24 +++--- 2 files changed, 54 insertions(+), 61 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 3fe17d20a3..19713b45f1 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -22,7 +22,7 @@ import copy import logging from pathlib import Path -from typing import Union, Literal +from typing import Union import warnings import h5py @@ -46,8 +46,6 @@ LOGGER = logging.getLogger(__name__) -DEF_COLS = ['region_id', 'on_land', 'geometry'] - class Centroids(): """Contains raster or vector centroids. @@ -92,7 +90,7 @@ def __init__( on land (True) and on sea (False) of size size. Defaults to None array """ - self._gdf = gpd.GeoDataFrame( + self.gdf = gpd.GeoDataFrame( data={ 'geometry': gpd.points_from_xy(lon, lat, crs=crs), 'region_id': region_id, @@ -110,41 +108,41 @@ def __init__( @property def lat(self): """ Return latitudes """ - return self._gdf.geometry.y.values + return self.gdf.geometry.y.values @property def lon(self): """ Return longitudes """ - return self._gdf.geometry.x.values + return self.gdf.geometry.x.values @property def geometry(self): """ Return the geometry """ - return self._gdf['geometry'] + return self.gdf['geometry'] @property def on_land(self): """ Get the on_land property """ - if self._gdf.on_land.isna().all(): + if self.gdf.on_land.isna().all(): return None - return self._gdf['on_land'].values + return self.gdf['on_land'].values @property def region_id(self): """ Get the assigned region_id """ - if self._gdf.region_id.isna().all(): + if self.gdf.region_id.isna().all(): return None - return self._gdf['region_id'].values + return self.gdf['region_id'].values @property def crs(self): """ Get the crs""" - return self._gdf.crs + return self.gdf.crs @property def size(self): """Get size (number of lat/lon pairs)""" - return self._gdf.shape[0] + return self.gdf.shape[0] @property def shape(self): @@ -154,7 +152,7 @@ def shape(self): @property def total_bounds(self): """Get total bounds (minx, miny, maxx, maxy).""" - return self._gdf.total_bounds + return self.gdf.total_bounds @property def coord(self): @@ -173,15 +171,15 @@ def __eq__(self, other): ------- eq : bool """ - return self._gdf.equals(other._gdf) & u_coord.equal_crs(self.crs, other.crs) + return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) - def to_default_crs(self, inplace=True): + def to_default_crs(self): """Project the current centroids to the default CRS (epsg4326) Modifies the object in place. """ - self.to_crs(DEF_CRS, inplace=inplace) + self.gdf.to_crs(DEF_CRS, inplace=True) - def to_crs(self, crs, inplace=True): + def to_crs(self, crs): """ Project the current centroids to the default CRS (epsg4326) Modifies the object in place. @@ -195,9 +193,7 @@ def to_crs(self, crs, inplace=True): Centroids Centroids in the new crs """ - if inplace: - self._gdf.to_crs(DEF_CRS, inplace=True) - return Centroids.from_geodataframe(self._gdf.to_crs(crs)) + return Centroids.from_geodataframe(self.gdf.to_crs(crs)) @classmethod def from_geodataframe(cls, gdf): @@ -224,10 +220,9 @@ def from_geodataframe(cls, gdf): # This is a bit ugly, but avoids to recompute the geometries # in the init. For large datasets this saves computation time centroids = cls(lat=[1], lon=[1]) #make "empty" centroids - columns = [col for col in gdf.columns if col in DEF_COLS] - centroids._gdf = gdf[columns] + centroids.gdf = gdf if not gdf.crs: - centroids._gdf.set_crs(DEF_CRS, inplace=True) + centroids.gdf.set_crs(DEF_CRS, inplace=True) return centroids @classmethod @@ -311,7 +306,7 @@ def append(self, centr): if not u_coord.equal_crs(self.crs, centr.crs): raise ValueError( "The centroids have different Coordinate-Reference-Systems (CRS)") - self._gdf = pd.concat([self._gdf, centr._gdf]) + self.gdf = pd.concat([self.gdf, centr.gdf]) def union(self, *others): """Create the union of centroids from the inputs. @@ -345,10 +340,10 @@ def remove_duplicate_points(cls, centroids): : Centroids Sub-selection of centroids withtout duplicates """ - return cls.from_geodataframe(centroids._gdf.drop_duplicates()) + return cls.from_geodataframe(centroids.gdf.drop_duplicates()) def select(self, reg_id=None, extent=None, sel_cen=None): - """Return Centroids with points in the given reg_id and/or in an + """Return Centroids with points in the given reg_id and/or in an spatial extent and/or in an index based list Parameters @@ -376,7 +371,7 @@ def select(self, reg_id=None, extent=None, sel_cen=None): sel_cen_bool[np.unique(sel_cen)] = True sel_cen_mask = self.select_mask(sel_cen=sel_cen_bool, reg_id=reg_id, extent=extent) - return Centroids.from_geodataframe(self._gdf[sel_cen_mask]) + return Centroids.from_geodataframe(self.gdf[sel_cen_mask]) def select_mask(self, sel_cen=None, reg_id=None, extent=None): @@ -444,9 +439,9 @@ def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, proj_plot = ccrs.PlateCarree(central_longitude=0.5 * (xmin + xmax)) if ax is None: - ax = self._gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) + ax = self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) else: - self._gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) + self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) if shapes: u_plot.add_shapes(ax) @@ -541,7 +536,7 @@ def get_dist_coast(self, signed=False, precomputed=False): else: LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) - + def get_meta(self, resolution=None): """Returns a meta raster based on the centroids bounds. @@ -561,7 +556,7 @@ def get_meta(self, resolution=None): """ if resolution is None: resolution = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() - xmin, ymin, xmax, ymax = self._gdf.total_bounds + xmin, ymin, xmax, ymax = self.gdf.total_bounds rows, cols, ras_trans = u_coord.pts_to_raster_meta( (xmin, ymin, xmax, ymax), (resolution, -resolution) ) @@ -663,9 +658,9 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids = cls.from_geodataframe(gpd.read_file(file_name)) if dst_crs is not None: if centroids.crs: - centroids._gdf.to_crs(dst_crs, inplace=True) + centroids.gdf.to_crs(dst_crs, inplace=True) else: - centroids._gdf.set_crs(dst_crs, inplace=True) + centroids.gdf.set_crs(dst_crs, inplace=True) return centroids @classmethod @@ -708,9 +703,9 @@ def write_csv(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = pd.DataFrame(self._gdf) - df['lon'] = self._gdf['geometry'].x - df['lat'] = self._gdf['geometry'].y + df = pd.DataFrame(self.gdf) + df['lon'] = self.gdf['geometry'].x + df['lat'] = self.gdf['geometry'].y df = df.drop(['geometry'], axis=1) crs = CRS.from_user_input(self.crs).to_wkt() df['crs'] = crs @@ -757,7 +752,7 @@ def from_excel(cls, file_path, sheet_name=None): else: on_land = None return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) - + def write_excel(self, file_path): """Save centroids as excel file @@ -767,9 +762,9 @@ def write_excel(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = pd.DataFrame(self._gdf) - df['lon'] = self._gdf['geometry'].x - df['lat'] = self._gdf['geometry'].y + df = pd.DataFrame(self.gdf) + df['lon'] = self.gdf['geometry'].x + df['lat'] = self.gdf['geometry'].y df = df.drop(['geometry'], axis=1) crs = CRS.from_user_input(self.crs).to_wkt() df['crs'] = crs @@ -785,10 +780,10 @@ def write_hdf5(self, file_name, mode='w'): """ LOGGER.info('Writing %s', file_name) store = pd.HDFStore(file_name, mode=mode) - pandas_df = pd.DataFrame(self._gdf) + pandas_df = pd.DataFrame(self.gdf) for col in pandas_df.columns: if str(pandas_df[col].dtype) == "geometry": - pandas_df[col] = np.asarray(self._gdf[col]) + pandas_df[col] = np.asarray(self.gdf[col]) # Avoid pandas PerformanceWarning when writing HDF5 data with warnings.catch_warnings(): @@ -881,9 +876,9 @@ def _ne_crs_geom(self): ------- geo : gpd.GeoSeries """ - if u_coord.equal_crs(self._gdf.crs, u_coord.NE_CRS): - return self._gdf.geometry - return self._gdf.geometry.to_crs(u_coord.NE_CRS) + if u_coord.equal_crs(self.gdf.crs, u_coord.NE_CRS): + return self.gdf.geometry + return self.gdf.geometry.to_crs(u_coord.NE_CRS) def _set_region_id(self, level='country', overwrite=False): """Set region_id as country ISO numeric code attribute for every pixel or point. @@ -901,7 +896,7 @@ def _set_region_id(self, level='country', overwrite=False): LOGGER.debug('Setting region_id %s points.', str(self.size)) if level == 'country': ne_geom = self._ne_crs_geom() - self._gdf['region_id'] = u_coord.get_country_code( + self.gdf['region_id'] = u_coord.get_country_code( ne_geom.y.values, ne_geom.x.values ) else: @@ -928,7 +923,7 @@ def _set_on_land(self, source='natural_earth', overwrite=False): LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) if source=='natural_earth': ne_geom = self._ne_crs_geom() - self._gdf['on_land'] = u_coord.coord_on_land( + self.gdf['on_land'] = u_coord.coord_on_land( ne_geom.y.values, ne_geom.x.values ) else: diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index b14605fe34..798b281e39 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -136,8 +136,8 @@ def test_from_csv(self): self.assertEqual(centroids.crs, 'epsg:3857') # Delete file - Path(tmpfile).unlink() - + Path(tmpfile).unlink() + def test_write_read_csv(self): """Write and read a Centroids CSV file correctly.""" # Create Centroids with latitude and longitude arrays @@ -158,8 +158,8 @@ def test_write_read_csv(self): self.assertEqual(centroids_in.crs, centroids_out.crs) #delete file - Path(tmpfile).unlink() - + Path(tmpfile).unlink() + def test_from_excel_def_crs(self): """Read a centroid excel file correctly and use default CRS.""" # Create temporary excel file containing centroids data @@ -168,10 +168,10 @@ def test_from_excel_def_crs(self): lon = np.array([0, 0, 0, 180, -180]) df = pd.DataFrame({'lat':lat, 'lon':lon}) df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - + # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) - + # test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) @@ -179,7 +179,7 @@ def test_from_excel_def_crs(self): #delete file Path(tmpfile).unlink() - + def test_from_excel(self): """Read a centroid excel file correctly which contains CRS information.""" # Create temporary excel file containing centroids data @@ -189,10 +189,10 @@ def test_from_excel(self): df = pd.DataFrame({'lat':lat, 'lon':lon}) df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - + # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) - + # test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) @@ -221,7 +221,7 @@ def test_write_read_excel(self): self.assertEqual(centroids_in.crs, centroids_out.crs) #delete file - Path(tmpfile).unlink() + Path(tmpfile).unlink() def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" @@ -229,13 +229,11 @@ def test_from_geodataframe(self): lat = np.arange(170, 180) lon = np.arange(-50, -40) region_id = np.arange(1, 11) - on_land = np.ones(10) extra = np.repeat(str('a'), 10) gdf = gpd.GeoDataFrame({ 'geometry' : gpd.points_from_xy(lon, lat), 'region_id' : region_id, - 'on_land': on_land, 'extra' : extra }, crs=crs) @@ -244,7 +242,7 @@ def test_from_geodataframe(self): for name, array in zip(['lat', 'lon', 'region_id'], [lat, lon, region_id]): np.testing.assert_array_equal(array, getattr(centroids, name)) - self.assertTrue('extra' not in centroids._gdf.columns) + np.testing.assert_array_equal(extra, centroids.gdf.extra.values) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) def test_from_geodataframe_invalid(self): From e5dffd97a6909e51173d3fceb20863bf7d740c4a Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 5 Jan 2024 12:06:42 +0100 Subject: [PATCH 132/192] Update to_crs methods --- climada/hazard/centroids/centr.py | 31 ++++++++++++++++++++++++------- 1 file changed, 24 insertions(+), 7 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 19713b45f1..becd771e72 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -173,13 +173,24 @@ def __eq__(self, other): """ return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) - def to_default_crs(self): + def to_default_crs(self, inplace=True): """Project the current centroids to the default CRS (epsg4326) - Modifies the object in place. + + Parameters + ---------- + inplace: bool + if True, modifies the centroids in place. + if False, returns a copy. + Default is True. + + Returns + ------- + Centroids + Centroids in the new crs """ - self.gdf.to_crs(DEF_CRS, inplace=True) + self.to_crs(DEF_CRS, inplace=inplace) - def to_crs(self, crs): + def to_crs(self, crs, inplace=False): """ Project the current centroids to the default CRS (epsg4326) Modifies the object in place. @@ -187,12 +198,18 @@ def to_crs(self, crs): ---------- crs : str coordinate reference system + inplace: bool + if True, modifies the centroids in place. + if False, returns a copy. + Default is True. Returns ------- Centroids Centroids in the new crs """ + if inplace: + self.gdf.to_crs(crs) return Centroids.from_geodataframe(self.gdf.to_crs(crs)) @classmethod @@ -343,7 +360,7 @@ def remove_duplicate_points(cls, centroids): return cls.from_geodataframe(centroids.gdf.drop_duplicates()) def select(self, reg_id=None, extent=None, sel_cen=None): - """Return Centroids with points in the given reg_id and/or in an + """Return Centroids with points in the given reg_id and/or in an spatial extent and/or in an index based list Parameters @@ -536,7 +553,7 @@ def get_dist_coast(self, signed=False, precomputed=False): else: LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) return u_coord.dist_to_coast(ne_geom, signed=signed) - + def get_meta(self, resolution=None): """Returns a meta raster based on the centroids bounds. @@ -752,7 +769,7 @@ def from_excel(cls, file_path, sheet_name=None): else: on_land = None return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) - + def write_excel(self, file_path): """Save centroids as excel file From 1f6ec54f6aa3891b67abc105d44c57ffd526b064 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 5 Jan 2024 12:08:40 +0100 Subject: [PATCH 133/192] Raise error if wrong exposures --- climada/hazard/centroids/centr.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index becd771e72..09ff65f2e5 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -280,6 +280,11 @@ def from_exposures(cls, exposures): **dict(gdf.items()) ) + raise ValueError( + "The given exposures object has no coordinates information." + "The exposures' geodataframe must have either point geometries" + " or latitude and longitude values.") + @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): """Create Centroids object with meta attribute according to points border data. From f59278cf542473ccbb398ff1168d1068dd0447fd Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 5 Jan 2024 12:13:16 +0100 Subject: [PATCH 134/192] Make from geodataframe more restrictive. --- climada/hazard/centroids/centr.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 09ff65f2e5..4beee5e0f0 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -46,6 +46,8 @@ LOGGER = logging.getLogger(__name__) +DEF_COLS = ['region_id', 'on_land', 'geometry'] + class Centroids(): """Contains raster or vector centroids. @@ -201,7 +203,7 @@ def to_crs(self, crs, inplace=False): inplace: bool if True, modifies the centroids in place. if False, returns a copy. - Default is True. + Default is False. Returns ------- @@ -237,7 +239,8 @@ def from_geodataframe(cls, gdf): # This is a bit ugly, but avoids to recompute the geometries # in the init. For large datasets this saves computation time centroids = cls(lat=[1], lon=[1]) #make "empty" centroids - centroids.gdf = gdf + columns = [col for col in gdf.columns if col in DEF_COLS] + centroids.gdf = gdf[columns] if not gdf.crs: centroids.gdf.set_crs(DEF_CRS, inplace=True) return centroids From 4c641dcfd7fe3eb52ddbf802f8eb1196762c5aec Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 5 Jan 2024 12:16:01 +0100 Subject: [PATCH 135/192] Use consistently to_crs method --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 4beee5e0f0..e5519381f3 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -903,7 +903,7 @@ def _ne_crs_geom(self): """ if u_coord.equal_crs(self.gdf.crs, u_coord.NE_CRS): return self.gdf.geometry - return self.gdf.geometry.to_crs(u_coord.NE_CRS) + return self.to_crs(u_coord.NE_CRS, inplace=False).geometry def _set_region_id(self, level='country', overwrite=False): """Set region_id as country ISO numeric code attribute for every pixel or point. From e5c1c739da672581bd2cf9d6abd5913a2c249d0e Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Fri, 5 Jan 2024 17:30:41 +0100 Subject: [PATCH 136/192] Improve read centroids --- climada/hazard/centroids/centr.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index e5519381f3..e79903d918 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -683,7 +683,7 @@ def from_vector_file(cls, file_name, dst_crs=None): centroids = cls.from_geodataframe(gpd.read_file(file_name)) if dst_crs is not None: if centroids.crs: - centroids.gdf.to_crs(dst_crs, inplace=True) + centroids.to_crs(dst_crs, inplace=True) else: centroids.gdf.set_crs(dst_crs, inplace=True) return centroids @@ -877,7 +877,7 @@ def _legacy_from_hdf5(cls, data): meta[key] = rasterio.Affine(*value) latitude, longitude = _meta_to_lat_lon(meta) - extra_values = {} + extra_values = dict.fromkeys(DEF_COLS) for centr_name in data.keys(): if centr_name not in ('crs', 'lat', 'lon', 'meta', 'latitude', 'longitude'): values = np.array(data.get(centr_name)) From 26e2702367a91fbe49362859b5e6eae4002363be Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 13:24:40 +0100 Subject: [PATCH 137/192] Add literal to import --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index e79903d918..2cf0878d4b 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -22,7 +22,7 @@ import copy import logging from pathlib import Path -from typing import Union +from typing import Union, Literal import warnings import h5py From e6fa996bcd914b8d89a2e951a14c7d4bdf0b866d Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 13:58:31 +0100 Subject: [PATCH 138/192] Update to crs with inplace argument --- climada/hazard/centroids/centr.py | 9 +++---- climada/hazard/centroids/test/test_centr.py | 28 +++++++++++---------- 2 files changed, 19 insertions(+), 18 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 2cf0878d4b..b0da5af249 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -193,8 +193,7 @@ def to_default_crs(self, inplace=True): self.to_crs(DEF_CRS, inplace=inplace) def to_crs(self, crs, inplace=False): - """ Project the current centroids to the default CRS (epsg4326) - Modifies the object in place. + """ Project the current centroids to the desired crs Parameters ---------- @@ -211,7 +210,8 @@ def to_crs(self, crs, inplace=False): Centroids in the new crs """ if inplace: - self.gdf.to_crs(crs) + self.gdf.to_crs(crs, inplace=True) + return None return Centroids.from_geodataframe(self.gdf.to_crs(crs)) @classmethod @@ -263,14 +263,13 @@ def from_exposures(cls, exposures): col_names = [ column for column in exposures.gdf.columns - if column in ['region_id', 'on_land'] + if column in DEF_COLS ] # Legacy behaviour # Exposures can be without geometry column #TODO: remove once exposures is real geodataframe with geometry. if 'geometry' in exposures.gdf.columns: - col_names += ['geometry'] gdf = exposures.gdf[col_names] return cls.from_geodataframe(gdf) diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 798b281e39..f1494cf382 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -136,8 +136,8 @@ def test_from_csv(self): self.assertEqual(centroids.crs, 'epsg:3857') # Delete file - Path(tmpfile).unlink() - + Path(tmpfile).unlink() + def test_write_read_csv(self): """Write and read a Centroids CSV file correctly.""" # Create Centroids with latitude and longitude arrays @@ -158,8 +158,8 @@ def test_write_read_csv(self): self.assertEqual(centroids_in.crs, centroids_out.crs) #delete file - Path(tmpfile).unlink() - + Path(tmpfile).unlink() + def test_from_excel_def_crs(self): """Read a centroid excel file correctly and use default CRS.""" # Create temporary excel file containing centroids data @@ -168,10 +168,10 @@ def test_from_excel_def_crs(self): lon = np.array([0, 0, 0, 180, -180]) df = pd.DataFrame({'lat':lat, 'lon':lon}) df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - + # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) - + # test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) @@ -179,7 +179,7 @@ def test_from_excel_def_crs(self): #delete file Path(tmpfile).unlink() - + def test_from_excel(self): """Read a centroid excel file correctly which contains CRS information.""" # Create temporary excel file containing centroids data @@ -189,10 +189,10 @@ def test_from_excel(self): df = pd.DataFrame({'lat':lat, 'lon':lon}) df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_excel(tmpfile, sheet_name = 'centroids', index=False) - + # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) - + # test attributes np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) @@ -221,7 +221,7 @@ def test_write_read_excel(self): self.assertEqual(centroids_in.crs, centroids_out.crs) #delete file - Path(tmpfile).unlink() + Path(tmpfile).unlink() def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" @@ -229,20 +229,22 @@ def test_from_geodataframe(self): lat = np.arange(170, 180) lon = np.arange(-50, -40) region_id = np.arange(1, 11) + on_land = np.ones(10).astype(bool) extra = np.repeat(str('a'), 10) gdf = gpd.GeoDataFrame({ 'geometry' : gpd.points_from_xy(lon, lat), 'region_id' : region_id, + 'on_land': on_land, 'extra' : extra }, crs=crs) centroids = Centroids.from_geodataframe(gdf) - for name, array in zip(['lat', 'lon', 'region_id'], - [lat, lon, region_id]): + for name, array in zip(['lat', 'lon', 'region_id', 'on_land'], + [lat, lon, region_id, on_land]): np.testing.assert_array_equal(array, getattr(centroids, name)) - np.testing.assert_array_equal(extra, centroids.gdf.extra.values) + self.assertTrue('extra' not in centroids.gdf.columns) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) def test_from_geodataframe_invalid(self): From 37b5d195471dd23104b9452d8d07c48b9adfee1a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Mon, 8 Jan 2024 14:06:16 +0100 Subject: [PATCH 139/192] improve excel, csv method, test based on review --- climada/hazard/centroids/centr.py | 31 ++++++++++++--------- climada/hazard/centroids/test/test_centr.py | 28 +++++++++++++++---- 2 files changed, 40 insertions(+), 19 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index b0da5af249..647a9de74a 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -727,12 +727,7 @@ def write_csv(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = pd.DataFrame(self.gdf) - df['lon'] = self.gdf['geometry'].x - df['lat'] = self.gdf['geometry'].y - df = df.drop(['geometry'], axis=1) - crs = CRS.from_user_input(self.crs).to_wkt() - df['crs'] = crs + df = self._centroids_to_df() df.to_csv(file_path, index=False) @@ -786,12 +781,7 @@ def write_excel(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = pd.DataFrame(self.gdf) - df['lon'] = self.gdf['geometry'].x - df['lat'] = self.gdf['geometry'].y - df = df.drop(['geometry'], axis=1) - crs = CRS.from_user_input(self.crs).to_wkt() - df['crs'] = crs + df = self._centroids_to_df() df.to_excel(file_path, sheet_name='centroids', index=False) def write_hdf5(self, file_name, mode='w'): @@ -891,7 +881,22 @@ def _legacy_from_hdf5(cls, data): ''' Private methods ''' - + + def _centroids_to_df(self): + """Create dataframe from Centroids object to facilitate saving in different file formats. + + Returns + ------- + df : DataFrame + """ + + df = pd.DataFrame(self.gdf) + df['lon'] = self.gdf['geometry'].x + df['lat'] = self.gdf['geometry'].y + df = df.drop(['geometry'], axis=1) + crs = CRS.from_user_input(self.crs).to_wkt() + df['crs'] = crs + return df def _ne_crs_geom(self): """Return `geometry` attribute in the CRS of Natural Earth. diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index f1494cf382..927556fc68 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -123,7 +123,9 @@ def test_from_csv(self): tmpfile = Path('test_write_csv.csv') lat = np.array([0, 20048966.1, -20048966, 0, 0]) lon = np.array([0, 0, 0, 20037508.34, -20037508.34]) - df = pd.DataFrame({'lat':lat, 'lon':lon}) + region_id = np.array([1, 2, 3, 4, 5]) + on_land = np.array([True, False, False, True, True]) + df = pd.DataFrame({'lat':lat, 'lon':lon, 'region_id':region_id, 'on_land':on_land}) df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_csv(tmpfile, index=False) @@ -134,6 +136,8 @@ def test_from_csv(self): np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) self.assertEqual(centroids.crs, 'epsg:3857') + np.testing.assert_array_equal(centroids.region_id, region_id) + np.testing.assert_array_equal(centroids.on_land, on_land) # Delete file Path(tmpfile).unlink() @@ -144,7 +148,9 @@ def test_write_read_csv(self): tmpfile = Path('test_write_csv.csv') lat = np.array([10.0, 20.0, 30.0]) lon = np.array([-10.0, -20.0, -30.0]) - centroids_out = Centroids(lat=lat, lon=lon) + region_id = np.array([1, 2, 3]) + on_land = np.array([True, False, False]) + centroids_out = Centroids(lat=lat, lon=lon, region_id=region_id, on_land=on_land) # Write CSV file from Centroids using write_csv centroids_out.write_csv(tmpfile) @@ -155,7 +161,9 @@ def test_write_read_csv(self): # Test attributes np.testing.assert_array_equal(centroids_in.lat, centroids_out.lat) np.testing.assert_array_equal(centroids_in.lon, centroids_out.lon) - self.assertEqual(centroids_in.crs, centroids_out.crs) + self.assertTrue(u_coord.equal_crs(centroids_in.crs, centroids_out.crs)) + np.testing.assert_array_equal(centroids_in.region_id, centroids_out.region_id) + np.testing.assert_array_equal(centroids_in.on_land, centroids_out.on_land) #delete file Path(tmpfile).unlink() @@ -186,7 +194,9 @@ def test_from_excel(self): tmpfile = Path('test_write_excel.xlsx') lat = np.array([0, 20048966.1, -20048966, 0, 0]) lon = np.array([0, 0, 0, 20037508.34, -20037508.34]) - df = pd.DataFrame({'lat':lat, 'lon':lon}) + region_id = np.array([1, 2, 3, 4, 5]) + on_land = np.array([True, False, False, True, True]) + df = pd.DataFrame({'lat':lat, 'lon':lon, 'region_id':region_id, 'on_land':on_land}) df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_excel(tmpfile, sheet_name = 'centroids', index=False) @@ -197,6 +207,8 @@ def test_from_excel(self): np.testing.assert_array_equal(centroids.lat, lat) np.testing.assert_array_equal(centroids.lon, lon) self.assertEqual(centroids.crs, 'epsg:3857') + np.testing.assert_array_equal(centroids.region_id, region_id) + np.testing.assert_array_equal(centroids.on_land, on_land) #delete file Path(tmpfile).unlink() @@ -207,7 +219,9 @@ def test_write_read_excel(self): tmpfile = Path('test_write_excel.xlsx') lat = np.array([10.0, 20.0, 30.0]) lon = np.array([-10.0, -20.0, -30.0]) - centroids_out = Centroids(lat=lat, lon=lon) + region_id = np.array([1, 2, 3]) + on_land = np.array([True, False, False]) + centroids_out = Centroids(lat=lat, lon=lon, region_id=region_id, on_land=on_land) # Write Excel file from Centroids using write_csv centroids_out.write_excel(tmpfile) @@ -218,7 +232,9 @@ def test_write_read_excel(self): # Test attributes np.testing.assert_array_equal(centroids_in.lat, centroids_out.lat) np.testing.assert_array_equal(centroids_in.lon, centroids_out.lon) - self.assertEqual(centroids_in.crs, centroids_out.crs) + self.assertTrue(u_coord.equal_crs(centroids_in.crs, centroids_out.crs)) + np.testing.assert_array_equal(centroids_in.region_id, centroids_out.region_id) + np.testing.assert_array_equal(centroids_in.on_land, centroids_out.on_land) #delete file Path(tmpfile).unlink() From 622d326f63909d0cbbf9574d1606102d50ece5fe Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 15:11:09 +0100 Subject: [PATCH 140/192] Update typing --- climada/hazard/centroids/centr.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 647a9de74a..35d261a928 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -74,7 +74,7 @@ def __init__( lon: Union[np.ndarray, list[float]], crs: str = DEF_CRS, region_id: Union[Literal["country"], None, np.ndarray, list[float]] = None, - on_land: Union[Literal["natural_earth"], None, np.ndarray, list[float]] = None, + on_land: Union[Literal["natural_earth"], None, np.ndarray, list[bool]] = None, ): """Initialization @@ -881,15 +881,15 @@ def _legacy_from_hdf5(cls, data): ''' Private methods ''' - + def _centroids_to_df(self): """Create dataframe from Centroids object to facilitate saving in different file formats. - + Returns ------- df : DataFrame """ - + df = pd.DataFrame(self.gdf) df['lon'] = self.gdf['geometry'].x df['lat'] = self.gdf['geometry'].y From a7311a00810bebabe465459bae0632b24ddf91b7 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 17:19:27 +0100 Subject: [PATCH 141/192] Fix equal centroids for different gdf columns ordering --- climada/hazard/centroids/centr.py | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 35d261a928..870ae04df5 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -173,7 +173,16 @@ def __eq__(self, other): ------- eq : bool """ - return self.gdf.equals(other.gdf) & u_coord.equal_crs(self.crs, other.crs) + eq_crs = u_coord.equal_crs(self.crs, other.crs) + try: + pd.testing.assert_frame_equal( + self.gdf, other.gdf, check_like=True + ) + eq_df = True + except AssertionError: + eq_df = False + + return eq_crs & eq_df def to_default_crs(self, inplace=True): """Project the current centroids to the default CRS (epsg4326) From 99203ad4dfbea43641bc68fb25305b27e01b72ac Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 17:19:45 +0100 Subject: [PATCH 142/192] Make consistent gdf column ordering --- climada/hazard/centroids/centr.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 870ae04df5..347750efd0 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -249,6 +249,7 @@ def from_geodataframe(cls, gdf): # in the init. For large datasets this saves computation time centroids = cls(lat=[1], lon=[1]) #make "empty" centroids columns = [col for col in gdf.columns if col in DEF_COLS] + columns.insert(0, 'geometry') #Same order as init centroids.gdf = gdf[columns] if not gdf.crs: centroids.gdf.set_crs(DEF_CRS, inplace=True) @@ -279,6 +280,7 @@ def from_exposures(cls, exposures): # Exposures can be without geometry column #TODO: remove once exposures is real geodataframe with geometry. if 'geometry' in exposures.gdf.columns: + col_names.append('geometry') gdf = exposures.gdf[col_names] return cls.from_geodataframe(gdf) From e5cd4ada474fca2bd112e923e0c827477a8e399b Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 17:20:22 +0100 Subject: [PATCH 143/192] Simplify from excel/csv --- climada/hazard/centroids/centr.py | 68 +++++++++++++++---------------- 1 file changed, 34 insertions(+), 34 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 347750efd0..78b623c2fb 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -46,7 +46,8 @@ LOGGER = logging.getLogger(__name__) -DEF_COLS = ['region_id', 'on_land', 'geometry'] +DEF_COLS = ['region_id', 'on_land'] +DEF_SHEET_NAME = 'centroids' class Centroids(): @@ -712,22 +713,8 @@ def from_csv(cls, file_path): Centroids Centroids with data from the given CSV file """ - df = pd.read_csv(file_path) - if 'crs' in df.columns: - crs = df['crs'].iloc[0] - else: - LOGGER.info(f'No \'crs\' column provided in file, setting CRS to WGS84 default.') - crs = DEF_CRS - if 'region_id' in df.columns: - region_id = df['region_id'] - else: - region_id = None - if 'on_land' in df.columns: - on_land = df['on_land'] - else: - on_land = None - return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) + return cls._from_dataframe(df) def write_csv(self, file_path): """Save centroids as CSV file @@ -739,7 +726,7 @@ def write_csv(self, file_path): """ LOGGER.info('Writing %s', file_path) df = self._centroids_to_df() - df.to_csv(file_path, index=False) + df.to_csv(file_path.with_suffix('.csv'), index=False) @classmethod @@ -765,23 +752,8 @@ def from_excel(cls, file_path, sheet_name=None): """ if sheet_name is None: sheet_name = 'centroids' - df = pd.read_excel(file_path, sheet_name) - - if 'crs' in df.columns: - crs = df['crs'].iloc[0] - else: - LOGGER.info(f'No \'crs\' column provided in file, setting CRS to WGS84 default.') - crs = DEF_CRS - if 'region_id' in df.columns: - region_id = df['region_id'] - else: - region_id = None - if 'on_land' in df.columns: - on_land = df['on_land'] - else: - on_land = None - return cls(lat=df['lat'], lon=df['lon'], region_id=region_id, on_land=on_land, crs=crs) + return cls._from_dataframe(df) def write_excel(self, file_path): """Save centroids as excel file @@ -793,7 +765,10 @@ def write_excel(self, file_path): """ LOGGER.info('Writing %s', file_path) df = self._centroids_to_df() - df.to_excel(file_path, sheet_name='centroids', index=False) + df.to_excel( + file_path.with_suffix('.xlsx'), + sheet_name=DEF_SHEET_NAME, index=False + ) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format @@ -855,6 +830,31 @@ def from_hdf5(cls, file_name): return cls.from_geodataframe(gdf) + ''' + Private methods + ''' + @classmethod + def _from_dataframe(cls, df): + if 'crs' in df.columns: + crs = df['crs'].iloc[0] + else: + LOGGER.info( + 'No \'crs\' column provided in file,' + 'setting CRS to WGS84 default.' + ) + crs = DEF_CRS + + extra_values = { + col: df[col] + for col in df.columns + if col in DEF_COLS + } + + return cls( + lat=df['lat'], lon=df['lon'], + **extra_values, crs=crs + ) + @classmethod def _legacy_from_hdf5(cls, data): crs = DEF_CRS From 58360a5da22b137e5a0e1487267c8190722b0475 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 17:20:37 +0100 Subject: [PATCH 144/192] Add support for legacy hazard excell --- climada/hazard/base.py | 2 +- climada/hazard/centroids/centr.py | 15 +++++++++++---- 2 files changed, 12 insertions(+), 5 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 49fc6a38ac..a3976a2629 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1182,7 +1182,7 @@ def from_excel(cls, file_name, var_names=None, haz_type=None): if haz_type is not None: hazard_kwargs["haz_type"] = haz_type try: - centroids = Centroids.from_excel(file_name, var_names=var_names['col_centroids']) + centroids = Centroids._legacy_from_excel(file_name, var_names=var_names['col_centroids']) hazard_kwargs.update(cls._read_att_excel(file_name, var_names, centroids)) except KeyError as var_err: raise KeyError("Variable not in Excel file: " + str(var_err)) from var_err diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 78b623c2fb..e64d3f7aa7 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -889,12 +889,19 @@ def _legacy_from_hdf5(cls, data): geometry=gpd.points_from_xy(x=longitude, y=latitude, crs=crs) ) - ''' - Private methods - ''' + @classmethod + def _legacy_from_excel(cls, file_name, var_names): + LOGGER.info('Reading %s', file_name) + try: + df = pd.read_excel(file_name, var_names['sheet_name']) + df = df.rename(columns=var_names['col_name']) + except KeyError as err: + raise KeyError("Not existing variable: %s" % str(err)) from err + return cls._from_dataframe(df) def _centroids_to_df(self): - """Create dataframe from Centroids object to facilitate saving in different file formats. + """Create dataframe from Centroids object to facilitate + saving in different file formats. Returns ------- From 2f248b8754f97eb95802f2990566d71afc7ba5e6 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Mon, 8 Jan 2024 17:21:13 +0100 Subject: [PATCH 145/192] Avoid single column loading error for df --- climada/hazard/centroids/centr.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index e64d3f7aa7..5c4b14e8ae 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -877,7 +877,7 @@ def _legacy_from_hdf5(cls, data): meta[key] = rasterio.Affine(*value) latitude, longitude = _meta_to_lat_lon(meta) - extra_values = dict.fromkeys(DEF_COLS) + extra_values = {} for centr_name in data.keys(): if centr_name not in ('crs', 'lat', 'lon', 'meta', 'latitude', 'longitude'): values = np.array(data.get(centr_name)) From 19cae86246a1f23dd0fbd84ac04f50bb226e8f8a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Sarah=20H=C3=BClsen?= <49907095+sarah-hlsn@users.noreply.github.com> Date: Tue, 9 Jan 2024 12:23:31 +0100 Subject: [PATCH 146/192] fix path in write_excel, write_csv --- climada/hazard/centroids/centr.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 5c4b14e8ae..e2595ef6ed 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -721,12 +721,12 @@ def write_csv(self, file_path): Parameters ---------- - file_path : str + file_path : str, Path absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) df = self._centroids_to_df() - df.to_csv(file_path.with_suffix('.csv'), index=False) + df.to_csv(Path(file_path).with_suffix('.csv'), index=False) @classmethod @@ -760,13 +760,13 @@ def write_excel(self, file_path): Parameters ---------- - file_path : str + file_path : str, Path absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) df = self._centroids_to_df() df.to_excel( - file_path.with_suffix('.xlsx'), + Path(file_path).with_suffix('.xlsx'), sheet_name=DEF_SHEET_NAME, index=False ) From 19fe589de808e32b3b42ea7022b90b08b40cdbbe Mon Sep 17 00:00:00 2001 From: Igor Detring Date: Tue, 9 Jan 2024 17:37:37 +0100 Subject: [PATCH 147/192] fixing docstrings in centr.py --- climada/hazard/centroids/centr.py | 65 +++++++++++++++++++++---------- 1 file changed, 44 insertions(+), 21 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index e2595ef6ed..b3330b7f2b 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -51,7 +51,7 @@ class Centroids(): - """Contains raster or vector centroids. + """Contains vector centroids as a GeoDataFrame Attributes ---------- @@ -163,12 +163,13 @@ def coord(self): return np.stack([self.lat, self.lon], axis=1) def __eq__(self, other): - """Return True if two centroids equal, False otherwise + """ dunder method for Centroids comparison. + returns True if two centroids equal, False otherwise Parameters ---------- other : Centroids - centroids to compare + object to compare with Returns ------- @@ -192,15 +193,16 @@ def to_default_crs(self, inplace=True): ---------- inplace: bool if True, modifies the centroids in place. - if False, returns a copy. + if False, return projected centroids object. Default is True. Returns ------- Centroids Centroids in the new crs + """ - self.to_crs(DEF_CRS, inplace=inplace) + return self.to_crs(DEF_CRS, inplace=inplace) def to_crs(self, crs, inplace=False): """ Project the current centroids to the desired crs @@ -209,10 +211,9 @@ def to_crs(self, crs, inplace=False): ---------- crs : str coordinate reference system - inplace: bool + inplace: bool, default False if True, modifies the centroids in place. if False, returns a copy. - Default is False. Returns ------- @@ -239,6 +240,10 @@ def from_geodataframe(cls, gdf): ------- Centroids Centroids built from the geodataframe. + + Raises + ------ + ValueError """ if np.any(gdf.geom_type != 'Point'): raise ValueError( @@ -269,7 +274,11 @@ def from_exposures(cls, exposures): Returns ------- Centroids - Centroids built from the exposures + Centroids built from the exposures geodataframe + + Raises + ------ + ValueError """ col_names = [ column @@ -324,7 +333,7 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): return cls(lat=y_grid.flatten(), lon=x_grid.flatten(), crs=crs) def append(self, centr): - """Append centroids points. + """Append Centroids Parameters ---------- @@ -357,7 +366,7 @@ def union(self, *others): Returns ------- centroids : Centroids - Centroids containing the union of the centroids in others. + Centroids containing the union of all Centroids. """ centroids = copy.deepcopy(self) @@ -368,15 +377,20 @@ def union(self, *others): return Centroids.remove_duplicate_points(centroids) @classmethod - def remove_duplicate_points(cls, centroids): + def remove_duplicate_points(cls, centr): """Return a copy of centroids with removed duplicated points + Parameters + ---------- + centr : Centroids + Centroids with or without duplicate points + Returns ------- - : Centroids - Sub-selection of centroids withtout duplicates + centroids : Centroids + Sub-selection of centroids without duplicates """ - return cls.from_geodataframe(centroids.gdf.drop_duplicates()) + return cls.from_geodataframe(centr.gdf.drop_duplicates()) def select(self, reg_id=None, extent=None, sel_cen=None): """Return Centroids with points in the given reg_id and/or in an @@ -396,7 +410,7 @@ def select(self, reg_id=None, extent=None, sel_cen=None): Returns ------- - cen : Centroids + centroids : Centroids Sub-selection of this object """ sel_cen_bool = sel_cen @@ -459,6 +473,8 @@ def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, The default is (9, 13) latlon_bounds_buffer : float, optional Buffer to add to all sides of the bounding box. Default: 0.0. + shapes : bool, optional + overlay axis with coastlines. Default: True kwargs : optional arguments for scatter matplotlib function @@ -497,6 +513,11 @@ def get_area_pixel(self, min_resol=1.0e-8): method climada.util.coordinates.get_resolution. Default: 1.0e-8 + Returns + ------- + areapixels : np.array + area values in m*m + See also -------- climada.util.coordinates.get_resolution @@ -645,7 +666,9 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, Returns ------- centr : Centroids - Centroids with meta attribute according to the given raster file + Centroids according to the given raster file + meta : dict, optional if return_meta is True + Raster meta (height, width, transform, crs). """ meta, _ = u_coord.read_raster( file_name, [1], src_crs, window, geometry, dst_crs, @@ -683,7 +706,7 @@ def from_vector_file(cls, file_name, dst_crs=None): vector file with format supported by fiona and 'geometry' field. dst_crs : crs, optional reproject to given crs - If not crs is given in the file, simply sets the crs. + If no crs is given in the file, simply sets the crs. Returns ------- @@ -741,10 +764,6 @@ def from_excel(cls, file_path, sheet_name=None): name of sheet in excel file containing centroid information Default: "centroids" - Raises - ------ - KeyError - Returns ------- centr : Centroids @@ -811,6 +830,10 @@ def from_hdf5(cls, file_name): ------- centr : Centroids Centroids with data from the given file + + Raises + ------ + FileNotFoundError """ if not Path(file_name).is_file(): raise FileNotFoundError(str(file_name)) From 5ccc278713a1dd98aebbc9514714d8b46be62f26 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 10 Jan 2024 20:43:04 +0100 Subject: [PATCH 148/192] Update code cosmetics --- climada/hazard/centroids/centr.py | 118 +++++++++--------- climada/hazard/centroids/test/test_vec_ras.py | 8 +- 2 files changed, 65 insertions(+), 61 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index b3330b7f2b..6a2c51766d 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -103,10 +103,10 @@ def __init__( if isinstance(region_id, str): LOGGER.info(f'Setting region id to {region_id} level.') - self._set_region_id(level=region_id, overwrite=True) + self.set_region_id(level=region_id, overwrite=True) if isinstance(on_land, str): LOGGER.info(f'Setting on land from {on_land} source.') - self._set_on_land(source=on_land, overwrite=True) + self.set_on_land(source=on_land, overwrite=True) @property def lat(self): @@ -163,7 +163,7 @@ def coord(self): return np.stack([self.lat, self.lon], axis=1) def __eq__(self, other): - """ dunder method for Centroids comparison. + """ dunder method for Centroids comparison. returns True if two centroids equal, False otherwise Parameters @@ -243,7 +243,7 @@ def from_geodataframe(cls, gdf): Raises ------ - ValueError + ValueError """ if np.any(gdf.geom_type != 'Point'): raise ValueError( @@ -383,7 +383,7 @@ def remove_duplicate_points(cls, centr): Parameters ---------- centr : Centroids - Centroids with or without duplicate points + Centroids with or without duplicate points Returns ------- @@ -501,6 +501,60 @@ def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, plt.tight_layout() return ax + def set_region_id(self, level='country', overwrite=False): + """Set region_id as country ISO numeric code attribute for every pixel or point. + + Parameters + ---------- + level: str + defines the admin level on which to assign centroids. Currently + only 'country' (admin0) is implemented. Default is 'country'. + overwrite : bool, optional + if True, overwrites the existing region_id information. + if False and region_id is None region_id is computed. + """ + if overwrite or self.region_id is None: + LOGGER.debug('Setting region_id %s points.', str(self.size)) + if level == 'country': + ne_geom = self._ne_crs_geom() + self.gdf['region_id'] = u_coord.get_country_code( + ne_geom.y.values, ne_geom.x.values + ) + else: + raise NotImplementedError( + 'The region id can only be assigned for countries so far' + ) + return None + + def set_on_land(self, source='natural_earth', overwrite=False): + """Set on_land attribute for every pixel or point. + + natural_earth: https://www.naturalearthdata.com/ + + Parameters + ---------- + source: str + defines the source of the coastlines. Currently + only 'natural_earth' is implemented. + Default is 'natural_earth'. + overwrite : bool + if True, overwrites the existing on_land information. + if False and on_land is None on_land is computed. + """ + if overwrite or self.on_land is None: + LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) + if source=='natural_earth': + ne_geom = self._ne_crs_geom() + self.gdf['on_land'] = u_coord.coord_on_land( + ne_geom.y.values, ne_geom.x.values + ) + else: + raise NotImplementedError( + 'The on land variables can only be assigned' + 'using natural earth.' + ) + return None + def get_area_pixel(self, min_resol=1.0e-8): """Computes the area per centroid in the CEA projection assuming that the centroids define a regular grid of pixels @@ -831,8 +885,8 @@ def from_hdf5(cls, file_name): centr : Centroids Centroids with data from the given file - Raises - ------ + Raises + ------ FileNotFoundError """ if not Path(file_name).is_file(): @@ -950,57 +1004,7 @@ def _ne_crs_geom(self): return self.gdf.geometry return self.to_crs(u_coord.NE_CRS, inplace=False).geometry - def _set_region_id(self, level='country', overwrite=False): - """Set region_id as country ISO numeric code attribute for every pixel or point. - - Parameters - ---------- - level: str - defines the admin level on which to assign centroids. Currently - only 'country' (admin0) is implemented. Default is 'country'. - overwrite : bool, optional - if True, overwrites the existing region_id information. - if False and region_id is None region_id is computed. - """ - if overwrite or self.region_id is None: - LOGGER.debug('Setting region_id %s points.', str(self.size)) - if level == 'country': - ne_geom = self._ne_crs_geom() - self.gdf['region_id'] = u_coord.get_country_code( - ne_geom.y.values, ne_geom.x.values - ) - else: - raise NotImplementedError( - 'The region id can only be assigned for countries so far' - ) - - def _set_on_land(self, source='natural_earth', overwrite=False): - """Set on_land attribute for every pixel or point. - - natural_earth: https://www.naturalearthdata.com/ - Parameters - ---------- - source: str - defines the source of the coastlines. Currently - only 'natural_earth' is implemented. - Default is 'natural_earth'. - overwrite : bool - if True, overwrites the existing on_land information. - if False and on_land is None on_land is computed. - """ - if overwrite or self.on_land is None: - LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) - if source=='natural_earth': - ne_geom = self._ne_crs_geom() - self.gdf['on_land'] = u_coord.coord_on_land( - ne_geom.y.values, ne_geom.x.values - ) - else: - raise NotImplementedError( - 'The on land variables can only be assigned' - 'using natural earth.' - ) def _meta_to_lat_lon(meta): diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index adc80d396e..13759eb5b4 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -97,7 +97,7 @@ def test_dist_coast_pass(self): def test_region_id_pass(self): """Test set_region_id""" - self.centr._set_region_id() + self.centr.set_region_id() np.testing.assert_array_equal( self.centr.region_id, REGION_ID @@ -113,7 +113,7 @@ def test_region_id_pass(self): def test_on_land(self): """Test set_on_land""" - self.centr._set_on_land() + self.centr.set_on_land() np.testing.assert_array_equal( self.centr.on_land, ON_LAND @@ -215,7 +215,7 @@ def test_ne_crs_geom_pass(self): def test_region_id_pass(self): """Test set_dist_coast""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras._set_region_id() + centr_ras.set_region_id() self.assertEqual(centr_ras.region_id.size, centr_ras.size) self.assertTrue(np.array_equal(np.unique(centr_ras.region_id), np.array([862]))) @@ -238,7 +238,7 @@ def test_dist_coast_pass(self): def test_on_land(self): """Test set_on_land""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras._set_on_land() + centr_ras.set_on_land() self.assertTrue(np.array_equal(centr_ras.on_land, np.ones(60 * 50, bool))) def test_area_pass(self): From ee512cab1f6d137066b531f81bdab2c3d48c7e04 Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Wed, 10 Jan 2024 21:22:07 +0100 Subject: [PATCH 149/192] Fix typo --- climada/hazard/storm_europe.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/storm_europe.py b/climada/hazard/storm_europe.py index a15ad6a49e..a0c5b77718 100644 --- a/climada/hazard/storm_europe.py +++ b/climada/hazard/storm_europe.py @@ -773,7 +773,7 @@ def generate_prob_storms(self, reg_id=528, spatial_shift=4, ssi_args=None, """ # bool vector selecting the targeted centroids if reg_id is not None: - self.centroids._set_region_id(overwrite=False) + self.centroids.set_region_id(overwrite=False) if not isinstance(reg_id, list): reg_id = [reg_id] sel_cen = np.isin(self.centroids.region_id, reg_id) From 4053565e7e07174fc06d330bce08ecbc3fca259c Mon Sep 17 00:00:00 2001 From: Chahan Kropf Date: Thu, 18 Jan 2024 17:21:30 +0100 Subject: [PATCH 150/192] Allo for kwargs in init and update from exposures --- climada/hazard/centroids/centr.py | 30 ++++++++++++--------- climada/hazard/centroids/test/test_centr.py | 9 ++++++- 2 files changed, 26 insertions(+), 13 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 6a2c51766d..c3971b6ee6 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -39,16 +39,20 @@ import climada.util.coordinates as u_coord import climada.util.plot as u_plot - __all__ = ['Centroids'] PROJ_CEA = CRS.from_user_input({'proj': 'cea'}) LOGGER = logging.getLogger(__name__) -DEF_COLS = ['region_id', 'on_land'] DEF_SHEET_NAME = 'centroids' - +EXP_SPECIFIC_COLS = [ + 'value', + 'impf_', + 'centr_', + 'cover', + 'deductible' +] class Centroids(): """Contains vector centroids as a GeoDataFrame @@ -76,6 +80,7 @@ def __init__( crs: str = DEF_CRS, region_id: Union[Literal["country"], None, np.ndarray, list[float]] = None, on_land: Union[Literal["natural_earth"], None, np.ndarray, list[bool]] = None, + **kwargs ): """Initialization @@ -98,6 +103,7 @@ def __init__( 'geometry': gpd.points_from_xy(lon, lat, crs=crs), 'region_id': region_id, 'on_land': on_land, + **kwargs } ) @@ -251,12 +257,11 @@ def from_geodataframe(cls, gdf): ' that are not points.' ) + # Don't forget to make a copy!! # This is a bit ugly, but avoids to recompute the geometries # in the init. For large datasets this saves computation time centroids = cls(lat=[1], lon=[1]) #make "empty" centroids - columns = [col for col in gdf.columns if col in DEF_COLS] - columns.insert(0, 'geometry') #Same order as init - centroids.gdf = gdf[columns] + centroids.gdf = gdf.copy(deep=True) if not gdf.crs: centroids.gdf.set_crs(DEF_CRS, inplace=True) return centroids @@ -264,6 +269,8 @@ def from_geodataframe(cls, gdf): @classmethod def from_exposures(cls, exposures): """Generate centroids from the location of an exposures. + The columns value, impf_*, centr_*, cover, deductible, + are discarded. Parameters ---------- @@ -283,14 +290,13 @@ def from_exposures(cls, exposures): col_names = [ column for column in exposures.gdf.columns - if column in DEF_COLS + if not np.any(np.isin(EXP_SPECIFIC_COLS, column)) ] # Legacy behaviour # Exposures can be without geometry column #TODO: remove once exposures is real geodataframe with geometry. if 'geometry' in exposures.gdf.columns: - col_names.append('geometry') gdf = exposures.gdf[col_names] return cls.from_geodataframe(gdf) @@ -802,7 +808,7 @@ def write_csv(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = self._centroids_to_df() + df = self._centroids_to_dataframe() df.to_csv(Path(file_path).with_suffix('.csv'), index=False) @@ -837,7 +843,7 @@ def write_excel(self, file_path): absolute or relative file path and name to write to """ LOGGER.info('Writing %s', file_path) - df = self._centroids_to_df() + df = self._centroids_to_dataframe() df.to_excel( Path(file_path).with_suffix('.xlsx'), sheet_name=DEF_SHEET_NAME, index=False @@ -924,7 +930,7 @@ def _from_dataframe(cls, df): extra_values = { col: df[col] for col in df.columns - if col in DEF_COLS + if col not in ['lat', 'lon', 'crs'] } return cls( @@ -976,7 +982,7 @@ def _legacy_from_excel(cls, file_name, var_names): raise KeyError("Not existing variable: %s" % str(err)) from err return cls._from_dataframe(df) - def _centroids_to_df(self): + def _centroids_to_dataframe(self): """Create dataframe from Centroids object to facilitate saving in different file formats. diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 927556fc68..a15f540fa3 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -260,7 +260,7 @@ def test_from_geodataframe(self): for name, array in zip(['lat', 'lon', 'region_id', 'on_land'], [lat, lon, region_id, on_land]): np.testing.assert_array_equal(array, getattr(centroids, name)) - self.assertTrue('extra' not in centroids.gdf.columns) + self.assertTrue('extra' in centroids.gdf.columns) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) def test_from_geodataframe_invalid(self): @@ -307,6 +307,7 @@ def test_from_exposures_with_region_id(self): np.testing.assert_array_equal(centroids.lon, lon) np.testing.assert_array_equal(centroids.region_id, region_id) np.testing.assert_array_equal(centroids.on_land, on_land) + self.assertFalse(np.isin('value', centroids.gdf.columns)) self.assertEqual(centroids.crs, crs) def test_from_exposures_without_region_id(self): @@ -339,6 +340,12 @@ def test_from_exposures_without_region_id(self): self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) self.assertEqual(centroids.region_id, None) self.assertEqual(centroids.on_land, None) + self.assertFalse( + np.all(np.isin( + ['value', 'impf_tc', 'centr_tc'], centroids.gdf.columns + )) + ) + From 4d621011b91512c924828ee8a76d88b58a3e335a Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Wed, 24 Jan 2024 10:33:05 +0100 Subject: [PATCH 151/192] code linting --- climada/entity/exposures/base.py | 12 ++- climada/entity/exposures/test/test_base.py | 10 +- climada/hazard/base.py | 86 ++++++++-------- climada/hazard/centroids/centr.py | 2 - climada/hazard/centroids/test/test_centr.py | 93 ++++++++--------- climada/hazard/centroids/test/test_vec_ras.py | 99 +++++++++---------- climada/hazard/test/test_base.py | 4 +- climada/hazard/trop_cyclone.py | 6 +- climada/util/coordinates.py | 6 +- climada/util/test/test_coordinates.py | 13 ++- 10 files changed, 162 insertions(+), 169 deletions(-) diff --git a/climada/entity/exposures/base.py b/climada/entity/exposures/base.py index e3e20a46ce..53504739e0 100644 --- a/climada/entity/exposures/base.py +++ b/climada/entity/exposures/base.py @@ -498,7 +498,6 @@ def from_raster(cls, file_name, band=1, src_crs=None, window=None, -------- Exposures """ - meta, value = u_coord.read_raster(file_name, [band], src_crs, window, geometry, dst_crs, transform, width, height, resampling) @@ -508,9 +507,14 @@ def from_raster(cls, file_name, band=1, src_crs=None, window=None, x_grid, y_grid = np.meshgrid(np.arange(ulx + xres / 2, lrx, xres), np.arange(uly + yres / 2, lry, yres)) return cls( - {'longitude': x_grid.flatten(), 'latitude': y_grid.flatten(), 'value': value.reshape(-1)} - , meta=meta, crs= meta['crs'] - ) + { + 'longitude': x_grid.flatten(), + 'latitude': y_grid.flatten(), + 'value': value.reshape(-1), + }, + meta=meta, + crs=meta['crs'], + ) def plot_scatter(self, mask=None, ignore_zero=False, pop_name=True, diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index e565d7dcf0..4a1146e26d 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -73,8 +73,8 @@ def test_assign_pass(self): # make sure that it works for both float32 and float64 for test_dtype in [np.float64, np.float32]: - haz.centroids.gdf.lat = haz.centroids.lat.astype(test_dtype) - haz.centroids.gdf.lon = haz.centroids.lon.astype(test_dtype) + haz.centroids.gdf["lat"] = haz.centroids.lat.astype(test_dtype) + haz.centroids.gdf["lon"] = haz.centroids.lon.astype(test_dtype) exp.assign_centroids(haz) self.assertEqual(exp.gdf.shape[0], len(exp.gdf[INDICATOR_CENTR + 'FL'])) np.testing.assert_array_equal(exp.gdf[INDICATOR_CENTR + 'FL'].values, expected_result) @@ -170,9 +170,9 @@ def test_assign_raster_same_pass(self): np.testing.assert_array_equal(exp.gdf[INDICATOR_CENTR + 'FL'].values, np.arange(haz.centroids.size, dtype=int)) -# Test fails because exposures stores the crs in the meta attribute as rasterio object, -# while the centroids stores the crs in the geodataframe, which is not a rasterio object. -# The comparison in assign_centroids then fails. + # Test fails because exposures stores the crs in the meta attribute as rasterio object, + # while the centroids stores the crs in the geodataframe, which is not a rasterio object. + # The comparison in assign_centroids then fails. def test_assign_large_hazard_subset_pass(self): """Test assign_centroids with raster hazard""" exp = Exposures.from_raster(HAZ_DEMO_FL, window=Window(10, 20, 50, 60)) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 1cebec9a2a..db274c9b70 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -343,8 +343,8 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, centroids, meta = Centroids.from_raster_file( files_intensity[0], src_crs=src_crs, window=window, geometry=geometry, dst_crs=dst_crs, transform=transform, - width=width, height=height, resampling=resampling, return_meta=True - ) + width=width, height=height, resampling=resampling, return_meta=True, + ) if pool: chunksize = max(min(len(files_intensity) // pool.ncpus, 1000), 1) @@ -371,8 +371,8 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, intensity = _values_from_raster_files( files_intensity, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, dst_crs=dst_crs, transform=transform, width=width, - height=height, resampling=resampling - ) + height=height, resampling=resampling, + ) if files_fraction is not None: fraction = _values_from_raster_files( files_fraction, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, @@ -1702,7 +1702,7 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): """Write intensity or fraction as GeoTIFF file. Each band is an event. Output raster is always a regular grid (same resolution for lat/lon). - Note that is output_resolution is not None, the data is rasterized to that + Note that if output_resolution is not None, the data is rasterized to that resolution. This is an expensive operation. For hazards that are already a raster, output_resolution=None saves on this raster which is efficient. @@ -1733,21 +1733,21 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): else: raise ValueError( f"The variable {variable} is not valid. Please use 'intensity' or 'fraction'." - ) + ) meta = self.centroids.get_meta(resolution=output_resolution) meta.update(driver='GTiff', dtype=rasterio.float32, count=self.size) res = meta["transform"][0] # resolution from lon coordinates if meta['height'] * meta['width'] == self.centroids.shape[0]: - #If centroids already in raster format + # centroids already in raster format u_coord.write_raster(file_name, var_to_write.toarray(), meta) else: geometry = self.centroids.gdf.geometry.buffer( - distance=res/2, resolution=1, cap_style=3 - ) - #resolution=1, cap_style=3: squared buffers - #https://shapely.readthedocs.io/en/latest/manual.html#object.buffer + distance=res/2, resolution=1, cap_style=3, + ) + # resolution=1, cap_style=3: squared buffers + # https://shapely.readthedocs.io/en/latest/manual.html#object.buffer with rasterio.open(file_name, 'w', **meta) as dst: LOGGER.info('Writing %s', file_name) for i_ev in range(self.size): @@ -1761,8 +1761,8 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): transform=meta['transform'], fill=0, all_touched=True, - dtype=meta['dtype'] - ) + dtype=meta['dtype'], + ) dst.write(raster.astype(meta['dtype']), i_ev + 1) def write_hdf5(self, file_name, todense=False): @@ -1782,13 +1782,6 @@ def write_hdf5(self, file_name, todense=False): for (var_name, var_val) in self.__dict__.items(): if var_name == 'centroids': pass - elif var_name == 'tag': - hf_str = hf_data.create_dataset('haz_type', (1,), dtype=str_dt) - hf_str[0] = var_val.haz_type - hf_str = hf_data.create_dataset('file_name', (1,), dtype=str_dt) - hf_str[0] = str(var_val.file_name) - hf_str = hf_data.create_dataset('description', (1,), dtype=str_dt) - hf_str[0] = str(var_val.description) elif isinstance(var_val, sparse.csr_matrix): if todense: hf_data.create_dataset(var_name, data=var_val.toarray()) @@ -1850,13 +1843,6 @@ def from_hdf5(cls, file_name): continue if var_name == 'centroids': continue - elif var_name == 'tag': - hazard_kwargs["haz_type"] = u_hdf5.to_string( - hf_data.get('haz_type')[0]) - hazard_kwargs["file_name"] = u_hdf5.to_string( - hf_data.get('file_name')[0]) - hazard_kwargs["description"] = u_hdf5.to_string( - hf_data.get('description')[0]) elif isinstance(var_val, np.ndarray) and var_val.ndim == 1: hazard_kwargs[var_name] = np.array(hf_data.get(var_name)) elif isinstance(var_val, sparse.csr_matrix): @@ -1976,15 +1962,20 @@ def _centr_plot(self, centr_idx, mat_var, col_name, axis=None, **kwargs): except IndexError as err: raise ValueError(f'Wrong centroid id: {centr_idx}.') from err array_val = mat_var[:, centr_pos].toarray() - title = f'Centroid {centr_idx}: ({np.around(coord[centr_pos, 0],3)}, {np.around(coord[centr_pos, 1],3)})' + title = ( + f'Centroid {centr_idx}:' + f' ({np.around(coord[centr_pos, 0], 3)}, {np.around(coord[centr_pos, 1],3)})' + ) elif centr_idx < 0: max_inten = np.asarray(np.sum(mat_var, axis=0)).reshape(-1) centr_pos = np.argpartition(max_inten, centr_idx)[centr_idx:] centr_pos = centr_pos[np.argsort(max_inten[centr_pos])][0] array_val = mat_var[:, centr_pos].toarray() - title = (f'{np.abs(centr_idx)}-largest Centroid. {centr_pos}:' - f' ({np.around(coord[centr_pos, 0], 3)}, {np.around(coord[centr_pos, 1], 3)})') + title = ( + f'{np.abs(centr_idx)}-largest Centroid. {centr_pos}:' + f' ({np.around(coord[centr_pos, 0], 3)}, {np.around(coord[centr_pos, 1], 3)})' + ) else: array_val = np.max(mat_var, axis=1).toarray() title = f'{self.haz_type} max intensity at each event' @@ -2377,16 +2368,18 @@ def change_centroids(self, centroids, threshold=NEAREST_NEIGHBOR_THRESHOLD): self.centroids.coord, centroids.coord, threshold=threshold ) if -1 in new_cent_idx: - raise ValueError("At least one hazard centroid is at a larger " - f"distance than the given threshold {threshold} " - "from the given centroids. Please choose a " - "larger threshold or enlarge the centroids") + raise ValueError( + "At least one hazard centroid is at a larger distance than the given threshold" + f" {threshold} from the given centroids. Please choose a larger threshold or" + " enlarge the centroids" + ) if np.unique(new_cent_idx).size < new_cent_idx.size: - raise ValueError("At least two hazard centroids are mapped to the same " - "centroids. Please make sure that the given centroids " - "cover the same area like the original centroids and " - "are not of lower resolution.") + raise ValueError( + "At least two hazard centroids are mapped to the same centroids. Please make sure" + " that the given centroids cover the same area like the original centroids and are" + " not of lower resolution." + ) # re-assign attributes intensity and fraction for attr_name in ["intensity", "fraction"]: @@ -2505,16 +2498,20 @@ def _get_fraction(self, cent_idx=None): return self.fraction[:, cent_idx] -#Function to read intensity/fraction values from raster files -#Not a method to allow for parallel computing -def _values_from_raster_files(file_names, meta, band=None, src_crs=None, window=None, - geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): +def _values_from_raster_files( + file_names, meta, band=None, src_crs=None, window=None, + geometry=None, dst_crs=None, transform=None, width=None, + height=None, resampling=Resampling.nearest, +): """Read raster of bands and set 0 values to the masked ones. Each band is an event. Select region using window or geometry. Reproject input by proving dst_crs and/or (transform, width, height). + The main purpose of this function is to read intensity/fraction values from raster files for + use in Hazard.read_raster. It is implemented as a separate helper function (instead of a + class method) to allow for parallel computing. + Parameters ---------- file_names : str @@ -2556,7 +2553,8 @@ def _values_from_raster_files(file_names, meta, band=None, src_crs=None, window= for file_name in file_names: tmp_meta, data = u_coord.read_raster( file_name, band, src_crs, window, geometry, dst_crs, - transform, width, height, resampling) + transform, width, height, resampling, + ) if (tmp_meta['crs'] != meta['crs'] or tmp_meta['transform'] != meta['transform'] or tmp_meta['height'] != meta['height'] diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index c3971b6ee6..ac45c95755 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -1011,8 +1011,6 @@ def _ne_crs_geom(self): return self.to_crs(u_coord.NE_CRS, inplace=False).geometry - - def _meta_to_lat_lon(meta): """Compute lat and lon of every pixel center from meta raster. diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 57cbfca630..979c5eaf4b 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -73,8 +73,8 @@ def test_to_default_crs(self): self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) def test_to_crs(self): - # Creating Centroids with non-default CRS - crs = 'epsg:4326' + # Creating Centroids with default CRS + crs = DEF_CRS lat = np.array([-10, 0, 10]) lon = np.array([-170, -150, -130]) centroids = Centroids(lat=lat, lon=lon, crs=crs) @@ -103,7 +103,7 @@ def test_from_csv_def_crs(self): tmpfile = Path('test_write_csv.csv') lat = np.array([0, 90, -90, 0, 0]) lon = np.array([0, 0, 0, 180, -180]) - df = pd.DataFrame({'lat':lat, 'lon':lon}) + df = pd.DataFrame({'lat': lat, 'lon': lon}) df.to_csv(tmpfile, index=False) # Read centroids using from_csv method @@ -114,8 +114,8 @@ def test_from_csv_def_crs(self): np.testing.assert_array_equal(centroids.lon, lon) self.assertEqual(centroids.crs, DEF_CRS) - #delete file - Path(tmpfile).unlink() + # delete file + tmpfile.unlink() def test_from_csv(self): """Read a centroid csv file which contains CRS information.""" @@ -124,7 +124,7 @@ def test_from_csv(self): lon = np.array([0, 0, 0, 20037508.34, -20037508.34]) region_id = np.array([1, 2, 3, 4, 5]) on_land = np.array([True, False, False, True, True]) - df = pd.DataFrame({'lat':lat, 'lon':lon, 'region_id':region_id, 'on_land':on_land}) + df = pd.DataFrame({'lat': lat, 'lon': lon, 'region_id': region_id, 'on_land': on_land}) df['crs'] = CRS.from_user_input(3857).to_wkt() df.to_csv(tmpfile, index=False) @@ -139,7 +139,7 @@ def test_from_csv(self): np.testing.assert_array_equal(centroids.on_land, on_land) # Delete file - Path(tmpfile).unlink() + tmpfile.unlink() def test_write_read_csv(self): """Write and read a Centroids CSV file correctly.""" @@ -164,8 +164,8 @@ def test_write_read_csv(self): np.testing.assert_array_equal(centroids_in.region_id, centroids_out.region_id) np.testing.assert_array_equal(centroids_in.on_land, centroids_out.on_land) - #delete file - Path(tmpfile).unlink() + # delete file + tmpfile.unlink() def test_from_excel_def_crs(self): """Read a centroid excel file correctly and use default CRS.""" @@ -173,8 +173,8 @@ def test_from_excel_def_crs(self): tmpfile = Path('test_write_excel.xlsx') lat = np.array([0, 90, -90, 0, 0]) lon = np.array([0, 0, 0, 180, -180]) - df = pd.DataFrame({'lat':lat, 'lon':lon}) - df.to_excel(tmpfile, sheet_name = 'centroids', index=False) + df = pd.DataFrame({'lat': lat, 'lon': lon}) + df.to_excel(tmpfile, sheet_name='centroids', index=False) # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) @@ -184,8 +184,8 @@ def test_from_excel_def_crs(self): np.testing.assert_array_equal(centroids.lon, lon) self.assertEqual(centroids.crs, DEF_CRS) - #delete file - Path(tmpfile).unlink() + # delete file + tmpfile.unlink() def test_from_excel(self): """Read a centroid excel file correctly which contains CRS information.""" @@ -195,9 +195,9 @@ def test_from_excel(self): lon = np.array([0, 0, 0, 20037508.34, -20037508.34]) region_id = np.array([1, 2, 3, 4, 5]) on_land = np.array([True, False, False, True, True]) - df = pd.DataFrame({'lat':lat, 'lon':lon, 'region_id':region_id, 'on_land':on_land}) + df = pd.DataFrame({'lat': lat, 'lon': lon, 'region_id': region_id, 'on_land': on_land}) df['crs'] = CRS.from_user_input(3857).to_wkt() - df.to_excel(tmpfile, sheet_name = 'centroids', index=False) + df.to_excel(tmpfile, sheet_name='centroids', index=False) # Read centroids using from_excel method centroids = Centroids.from_excel(file_path=tmpfile) @@ -209,8 +209,8 @@ def test_from_excel(self): np.testing.assert_array_equal(centroids.region_id, region_id) np.testing.assert_array_equal(centroids.on_land, on_land) - #delete file - Path(tmpfile).unlink() + # delete file + tmpfile.unlink() def test_write_read_excel(self): """Write and read a Centroids Excel file correctly.""" @@ -235,8 +235,8 @@ def test_write_read_excel(self): np.testing.assert_array_equal(centroids_in.region_id, centroids_out.region_id) np.testing.assert_array_equal(centroids_in.on_land, centroids_out.on_land) - #delete file - Path(tmpfile).unlink() + # delete file + tmpfile.unlink() def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" @@ -244,20 +244,22 @@ def test_from_geodataframe(self): lat = np.arange(170, 180) lon = np.arange(-50, -40) region_id = np.arange(1, 11) - on_land = np.ones(10).astype(bool) - extra = np.repeat(str('a'), 10) + on_land = np.ones(10, dtype=bool) + extra = np.full(10, 'a') gdf = gpd.GeoDataFrame({ - 'geometry' : gpd.points_from_xy(lon, lat), - 'region_id' : region_id, + 'geometry': gpd.points_from_xy(lon, lat), + 'region_id': region_id, 'on_land': on_land, - 'extra' : extra + 'extra': extra, }, crs=crs) centroids = Centroids.from_geodataframe(gdf) - for name, array in zip(['lat', 'lon', 'region_id', 'on_land'], - [lat, lon, region_id, on_land]): + for name, array in zip( + ['lat', 'lon', 'region_id', 'on_land'], + [lat, lon, region_id, on_land], + ): np.testing.assert_array_equal(array, getattr(centroids, name)) self.assertTrue('extra' in centroids.gdf.columns) self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) @@ -269,9 +271,9 @@ def test_from_geodataframe_invalid(self): 'geometry': [ shapely.Point((2,2)), shapely.Polygon([(0, 0), (1, 1), (1, 0), (0, 0)]), - shapely.LineString([(0, 1), (1, 0)]) - ] - }) + shapely.LineString([(0, 1), (1, 0)]), + ], + }) with self.assertRaises(ValueError): # Trying to create Centroids from invalid GeoDataFrame @@ -290,11 +292,11 @@ def test_from_exposures_with_region_id(self): on_land = [False, True, True] crs = 'epsg:32632' gdf = gpd.GeoDataFrame({ - 'latitude' : lat, + 'latitude': lat, 'longitude': lon, 'value': value, 'region_id': region_id, - 'on_land': on_land + 'on_land': on_land, }) exposures = Exposures(gdf, crs=crs) @@ -322,11 +324,11 @@ def test_from_exposures_without_region_id(self): impf_TC = np.array([1, 2, 3]) centr_TC = np.array([1, 2, 3]) gdf = gpd.GeoDataFrame({ - 'latitude' : lat, + 'latitude': lat, 'longitude': lon, 'value': value, 'impf_tc': impf_TC, - 'centr_TC': centr_TC + 'centr_TC': centr_TC, }) exposures = Exposures(gdf) @@ -339,27 +341,24 @@ def test_from_exposures_without_region_id(self): self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) self.assertEqual(centroids.region_id, None) self.assertEqual(centroids.on_land, None) - self.assertFalse( - np.all(np.isin( - ['value', 'impf_tc', 'centr_tc'], centroids.gdf.columns - )) + self.testing.assert_equal( + np.isin(['value', 'impf_tc', 'centr_tc'], centroids.gdf.columns), + True, ) - - class TestCentroidsWriter(unittest.TestCase): def test_read_write_hdf5(self): tmpfile = Path('test_write_hdf5.out.hdf5') - lat = np.arange(0,10) - lon = np.arange(-10,0) + lat = np.arange(0, 10) + lon = np.arange(-10, 0) crs = DEF_CRS centroids_w = Centroids(lat=lat, lon=lon, crs=crs) centroids_w.write_hdf5(tmpfile) centroids_r = Centroids.from_hdf5(tmpfile) self.assertTrue(centroids_w == centroids_r) - Path(tmpfile).unlink() + tmpfile.unlink() class TestCentroidsMethods(unittest.TestCase): @@ -416,10 +415,12 @@ def test_get_meta(self): # Check metadata expected_meta = dict( crs=DEF_CRS, - height= 3, - width= 3, - transform=Affine(10, 0, -35, - 0, -10, 35) + height=3, + width=3, + transform=Affine( + 10, 0, -35, + 0, -10, 35, + ), ) self.assertEqual(meta['height'], expected_meta['height']) self.assertEqual(meta['width'], expected_meta['width']) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 13759eb5b4..ae09d102a7 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -40,14 +40,14 @@ # Note: the coordinates are not directly on the cities, the region id and on land # otherwise do not work correctly. It is only a close point. LATLON = np.array([ - [-21.1736, -175.1883], #Tonga, Nuku'alofa, TON, 776 - [-18.133, 178.433], #Fidji, Suva, FJI, 242 IN WATER IN NATURAL EARTH - [-38.4689, 177.8642], #New-Zealand, Te Karaka, NZL, 554 - [69.6833, 18.95], #Norway, Tromso, NOR, 578 IN WATER IN NATURAL EARTH - [78.84422, 20.82842], #Norway, Svalbard, NOR, 578 - [1, 1], # Ocean, 0 (0,0 is onland in Natural earth for testing reasons) - [-77.85, 166.6778], #Antarctica, McMurdo station, ATA, 010 - [-0.25, -78.5833] #Ecuador, Quito, ECU, 218 + [-21.1736, -175.1883], # Tonga, Nuku'alofa, TON, 776 + [-18.133, 178.433], # Fidji, Suva, FJI, 242 IN WATER IN NATURAL EARTH + [-38.4689, 177.8642], # New-Zealand, Te Karaka, NZL, 554 + [69.6833, 18.95], # Norway, Tromso, NOR, 578 IN WATER IN NATURAL EARTH + [78.84422, 20.82842], # Norway, Svalbard, NOR, 578 + [1, 1], # Ocean, 0 (0,0 is onland in Natural earth for testing reasons) + [-77.85, 166.6778], # Antarctica, McMurdo station, ATA, 010 + [-0.25, -78.5833] # Ecuador, Quito, ECU, 218 ]) VEC_LAT = LATLON[:,0] @@ -57,13 +57,13 @@ REGION_ID = np.array([776, 0, 554, 0, 578, 0, 10, 218]) TEST_CRS = 'EPSG:4326' -ALT_CRS = 'epsg:32632' #Europe +ALT_CRS = 'epsg:32632' # Europe class TestVector(unittest.TestCase): """Test CentroidsVector class""" def setUp(self): - self.centr = Centroids(lat=VEC_LAT,lon=VEC_LON, crs=TEST_CRS) + self.centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=TEST_CRS) def test_init_pass(self): """Test from_lat_lon""" @@ -73,8 +73,11 @@ def test_init_pass(self): # Test default crs and other inputs centr = Centroids( - lat=VEC_LAT,lon=VEC_LON, - region_id = REGION_ID, on_land=ON_LAND) + lat=VEC_LAT, + lon=VEC_LON, + region_id=REGION_ID, + on_land=ON_LAND, + ) self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) self.assertTrue(np.allclose(centr.region_id, REGION_ID)) self.assertTrue(np.allclose(centr.on_land, ON_LAND)) @@ -91,48 +94,34 @@ def test_dist_coast_pass(self): # Just checking that the output doesnt change over time. REF_VALUES = np.array([ 1605.243, 603.261, 26112.239, 2228.629, 7207.817, - 156271.372, 661.114, 158184.4 - ]) + 156271.372, 661.114, 158184.4, + ]) np.testing.assert_array_almost_equal(dist_coast, REF_VALUES, decimal=3) def test_region_id_pass(self): """Test set_region_id""" self.centr.set_region_id() - np.testing.assert_array_equal( - self.centr.region_id, - REGION_ID - ) + np.testing.assert_array_equal(self.centr.region_id, REGION_ID) - centroids = Centroids( - lat=VEC_LAT, lon=VEC_LON, region_id='country' - ) - np.testing.assert_array_equal( - centroids.region_id, - REGION_ID - ) + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id='country') + np.testing.assert_array_equal(centroids.region_id, REGION_ID) def test_on_land(self): """Test set_on_land""" self.centr.set_on_land() - np.testing.assert_array_equal( - self.centr.on_land, - ON_LAND - ) + np.testing.assert_array_equal(self.centr.on_land, ON_LAND) - centroids = Centroids( - lat=VEC_LAT, lon=VEC_LON, on_land='natural_earth' - ) - np.testing.assert_array_equal( - centroids.on_land, - ON_LAND - ) + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, on_land='natural_earth') + np.testing.assert_array_equal(centroids.on_land, ON_LAND) def test_remove_duplicate_pass(self): """Test remove_duplicate_points""" - centr = Centroids(lat = np.hstack([VEC_LAT, VEC_LAT]), - lon = np.hstack([VEC_LON , VEC_LON]), - crs=TEST_CRS) - self.assertTrue(centr.gdf.shape[0] == 2*self.centr.gdf.shape[0]) + centr = Centroids( + lat=np.hstack([VEC_LAT, VEC_LAT]), + lon=np.hstack([VEC_LON, VEC_LON]), + crs=TEST_CRS, + ) + self.assertTrue(centr.gdf.shape[0] == 2 * self.centr.gdf.shape[0]) rem_centr = Centroids.remove_duplicate_points(centr) self.assertTrue(self.centr == rem_centr) @@ -154,7 +143,7 @@ def test_area_pass(self): def test_get_closest_point(self): """Test get_closest_point""" for n, (lat, lon) in enumerate(LATLON): - x, y, idx = self.centr.get_closest_point(lon*0.99, lat*1.01) + x, y, idx = self.centr.get_closest_point(lon * 0.99, lat * 1.01) self.assertAlmostEqual(x, lon) self.assertAlmostEqual(y, lat) self.assertEqual(idx, n) @@ -166,7 +155,7 @@ def test_append_pass(self): centr = self.centr centr_bis = Centroids(lat=np.array([1, 2, 3]), lon=np.array([4, 5, 6]), crs=DEF_CRS) with self.assertRaises(ValueError): - #Different crs + # Different crs centr_bis.to_crs(ALT_CRS).append(centr) centr_bis.append(centr) self.assertAlmostEqual(centr_bis.lat[0], 1) @@ -183,7 +172,7 @@ def test_equal_pass(self): centr_list = [ Centroids(lat=VEC_LAT, lon=VEC_LON, crs=DEF_CRS), Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS), - Centroids(lat=VEC_LAT+1, lon=VEC_LON+1) + Centroids(lat=VEC_LAT + 1, lon=VEC_LON + 1) ] for centr1, centr2 in itertools.combinations(centr_list, 2): self.assertFalse(centr2 == centr1) @@ -251,17 +240,15 @@ def test_area_pass(self): # This is a wrong result as it should be projected to CEA (for correct area) res = 0.009000000000000341 self.assertFalse( - np.allclose(area_pixel, np.ones(window_size[2] * window_size[3]) * res ** 2) - ) + np.allclose(area_pixel, np.ones(window_size[2] * window_size[3]) * res**2) + ) # Correct result in CEA results in unequal pixel area test_area = np.array([ 981010.32497514, 981010.3249724 , 981037.92674855, - 981037.92674582, 981065.50487659, 981065.50487385 - ]) - self.assertTrue( - np.allclose(area_pixel, test_area) - ) + 981037.92674582, 981065.50487659, 981065.50487385, + ]) + np.testing.assert_allclose(area_pixel, test_area) def test_size_pass(self): """Test size property""" @@ -322,8 +309,10 @@ def test_centroids_check_pass(self): centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) self.assertTrue(u_coord.equal_crs(centr.crs, CRS.from_user_input(ALT_CRS))) - self.assertEqual(list(centr.total_bounds), - [VEC_LON.min(), VEC_LAT.min(), VEC_LON.max(), VEC_LAT.max()]) + self.assertEqual( + list(centr.total_bounds), + [VEC_LON.min(), VEC_LAT.min(), VEC_LON.max(), VEC_LAT.max()], + ) self.assertIsInstance(centr.lat, np.ndarray) self.assertIsInstance(centr.lon, np.ndarray) @@ -337,7 +326,7 @@ def test_centroids_check_pass(self): class TestReader(unittest.TestCase): """Test Centroids setter vector and raster methods""" def setUp(self): - self.centr = Centroids(lat=VEC_LAT,lon=VEC_LON, crs=TEST_CRS) + self.centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=TEST_CRS) def test_from_vector_file(self): """Test from_vector_file and values_from_vector_files""" @@ -354,7 +343,6 @@ def test_from_vector_file(self): centr = Centroids.from_vector_file(shp_file, dst_crs=ALT_CRS) self.assertTrue(u_coord.equal_crs(centr.crs, ALT_CRS)) - def test_write_read_h5(self): """Write and read hdf5 format""" file_name = str(DATA_DIR.joinpath('test_centr.h5')) @@ -384,7 +372,8 @@ def test_select_extent_pass(self): centr = Centroids( lat=np.array([-5, -3, 0, 3, 5]), lon=np.array([-180, -175, -170, 170, 175]), - region_id=np.zeros(5)) + region_id=np.zeros(5), + ) ext_centr = centr.select(extent=[-175, -170, -5, 5]) np.testing.assert_array_equal(ext_centr.lon, np.array([-175, -170])) np.testing.assert_array_equal(ext_centr.lat, np.array([-3, 0])) diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index d21258c33d..0a7e6bfd56 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -82,8 +82,8 @@ def setUp(self): centroids = Centroids( lat=np.array([1, 3]), lon=np.array([2, 3]), - region_id = np.array([1, 2]) - ) + region_id=np.array([1, 2]), + ) self.hazard = Hazard( "TC", centroids=centroids, diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index e1127e1cdc..39744075a2 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -178,7 +178,7 @@ def set_from_tracks(self, *args, **kwargs): def from_tracks( cls, tracks: TCTracks, - centroids: Optional[Centroids], + centroids: Centroids, pool: Optional[pathos.pools.ProcessPool] = None, model: str = 'H08', ignore_distance_to_coast: bool = False, @@ -268,9 +268,9 @@ def from_tracks( coastal_idx = (np.abs(centroids.lat) <= max_latitude).nonzero()[0] else: # Select centroids which are inside max_dist_inland_km and lat <= max_latitude - if 'dist_coast' not in centroids.gdf: + if 'dist_coast' not in centroids.gdf.columns: centroids.gdf['dist_coast'] = centroids.get_dist_coast() - coastal_idx = ((centroids.gdf.dist_coast.values <= max_dist_inland_km * 1000) + coastal_idx = ((centroids.gdf['dist_coast'].values <= max_dist_inland_km * 1000) & (np.abs(centroids.lat) <= max_latitude)).nonzero()[0] # Filter early with a larger threshold, but inaccurate (lat/lon) distances. diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index b5b126e8e2..a4f61682a8 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -1133,9 +1133,9 @@ def match_centroids(coord_gdf, centroids, distance='euclidean', pass assigned = match_coordinates( - np.stack([coord_gdf.latitude.values, coord_gdf.longitude.values], axis=1), - centroids.coord, distance=distance, threshold=threshold - ) + np.stack([coord_gdf['latitude'].values, coord_gdf['longitude'].values], axis=1), + centroids.coord, distance=distance, threshold=threshold, + ) return assigned @numba.njit diff --git a/climada/util/test/test_coordinates.py b/climada/util/test/test_coordinates.py index bdd0ef9d52..496eb3c271 100644 --- a/climada/util/test/test_coordinates.py +++ b/climada/util/test/test_coordinates.py @@ -546,17 +546,20 @@ def test_match_centroids(self): -19.0, -19.0, -19.0, -19.0, -20.1, 0.0, 10.1, 10.1, 10.1, 0.0, -20.2, -20.3, -6.4, 9.8, 0.0, - ]), + ]), 'latitude': np.array([ 7.3, 7.3, 7.3, 7.3, 7.3, 7.3, 8.1, 7.9, 6.7, 6.5, 8.1, 8.2, 8.3, 0.0, -6.1, -6.2, -6.3, 0.0, -1.9, -1.7, 0.0, - ]) + ]), }) - gdf = gpd.GeoDataFrame(df,geometry=gpd.points_from_xy(df.longitude, df.latitude), - crs=DEF_CRS) - assigned = u_coord.match_centroids(gdf,centroids) + gdf = gpd.GeoDataFrame( + df, + geometry=gpd.points_from_xy(df.longitude, df.latitude), + crs=DEF_CRS, + ) + assigned = u_coord.match_centroids(gdf, centroids) expected_result = [ # constant y-value, varying x-value From 1ba2ade9180ea6d14833fc5e23e83d15b33fddad Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Wed, 24 Jan 2024 14:11:52 +0100 Subject: [PATCH 152/192] Centroids: test from_meta --- climada/hazard/centroids/centr.py | 9 ++-- climada/hazard/centroids/test/test_vec_ras.py | 52 +++++++++++++++++-- 2 files changed, 53 insertions(+), 8 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index ac45c95755..10e175eda1 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -657,14 +657,15 @@ def get_dist_coast(self, signed=False, precomputed=False): def get_meta(self, resolution=None): """Returns a meta raster based on the centroids bounds. - When resolution is None it is estimated from the centroids - by assuming that they form a regular raster. + Note that this function is not perfectly inverse with `from_meta` since `get_meta` enforces + a grid with equal resolution in x- and y-direction with coordinates increasing in + x-direction and decreasing in y-direction. Parameters ---------- resolution : int, optional - Resolution of the raster. - By default None (resolution is estimated from centroids) + Resolution of the raster. If not given, the resolution is estimated from the centroids + by assuming that they form a regular raster. Default: None Returns ------- diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index ae09d102a7..51329fc6a0 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -66,7 +66,7 @@ def setUp(self): self.centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=TEST_CRS) def test_init_pass(self): - """Test from_lat_lon""" + """Test init""" self.assertTrue(np.allclose(self.centr.lat, VEC_LAT)) self.assertTrue(np.allclose(self.centr.lon, VEC_LON)) self.assertTrue(u_coord.equal_crs(self.centr.crs, TEST_CRS)) @@ -288,9 +288,53 @@ def test_get_closest_point(self): self.assertEqual(y, 0.2) self.assertEqual(idx, 1) - def test_set_meta_to_lat_lon_pass(self): - """Test set_meta_to_lat_lon by using its inverse set_lat_lon_to_meta""" - pass + def test_from_meta(self): + """Test from_meta""" + meta_ref = { + 'width': 10, + 'height': 8, + 'transform': rasterio.Affine( + 0.6, 0, -0.1, + 0, -0.6, 0.3, + ), + 'crs': DEF_CRS, + } + + lon_ref = np.array([0.2, 0.8, 1.4, 2.0, 2.6, 3.2, 3.8, 4.4, 5.0, 5.6]) + lat_ref = np.array([0.0, -0.6, -1.2, -1.8, -2.4, -3.0, -3.6, -4.2]) + lon_ref, lat_ref = [ar.ravel() for ar in np.meshgrid(lon_ref, lat_ref)] + + centr = Centroids.from_meta(meta_ref) + meta = centr.get_meta() + self.assertTrue(u_coord.equal_crs(meta_ref["crs"], meta["crs"])) + self.assertEqual(meta_ref["width"], meta["width"]) + self.assertEqual(meta_ref["height"], meta["height"]) + np.testing.assert_allclose(meta_ref["transform"], meta["transform"]) + + centr = Centroids.from_meta( + Centroids(lat=lat_ref, lon=lon_ref).get_meta() + ) + np.testing.assert_allclose(lat_ref, centr.lat) + np.testing.assert_allclose(lon_ref, centr.lon) + + # `get_meta` enforces same resolution in x and y, and y-coordinates are decreasing. + # For other cases, `from_meta` needs to be checked manually. + meta_ref = { + 'width': 4, + 'height': 5, + 'transform': rasterio.Affine( + 0.5, 0, 0.2, + 0, 0.6, -0.7, + ), + 'crs': DEF_CRS, + } + lon_ref = np.array([0.45, 0.95, 1.45, 1.95]) + lat_ref = np.array([-0.4, 0.2, 0.8, 1.4, 2.0]) + lon_ref, lat_ref = [ar.ravel() for ar in np.meshgrid(lon_ref, lat_ref)] + + centr = Centroids.from_meta(meta_ref) + np.testing.assert_allclose(lat_ref, centr.lat) + np.testing.assert_allclose(lon_ref, centr.lon) def test_equal_pass(self): """Test equal""" From 62df2dd6158f8406baa6d12cbb502dbe0e6b926b Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Wed, 24 Jan 2024 14:48:39 +0100 Subject: [PATCH 153/192] Centroids: refined tests --- climada/hazard/centroids/test/test_vec_ras.py | 26 ++++++++++++++++--- 1 file changed, 22 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 51329fc6a0..4e2388b413 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -57,7 +57,7 @@ REGION_ID = np.array([776, 0, 554, 0, 578, 0, 10, 218]) TEST_CRS = 'EPSG:4326' -ALT_CRS = 'epsg:32632' # Europe +ALT_CRS = 'epsg:32632' # UTM zone 32N (Central Europe, 6-12°E) class TestVector(unittest.TestCase): """Test CentroidsVector class""" @@ -186,20 +186,38 @@ class TestRaster(unittest.TestCase): def test_from_pnt_bounds_pass(self): """Test from_pnt_bounds""" + width, height = 26, 51 left, bottom, right, top = 5, 0, 10, 10 + centr = Centroids.from_pnt_bounds((left, bottom, right, top), 0.2, crs=DEF_CRS) self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) + self.assertEqual(centr.size, width * height) + np.testing.assert_allclose([5.0, 5.2, 5.0], centr.lon[[0, 1, width]], atol=0.1) + np.testing.assert_allclose([10.0, 10.0, 9.8], centr.lat[[0, 1, width]], atol=0.1) - def test_read_all_pass(self): - """Test centr_ras data""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) + def test_from_raster(self): + """Test from_raster_file""" + width, height = 50, 60 + o_lat, o_lon = (10.42822096697894, -69.33714959699981) + res_lat, res_lon = (-0.009000000000000341, 0.009000000000000341) + + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, width, height)) self.assertTrue(u_coord.equal_crs(centr_ras.crs, DEF_CRS)) + self.assertEqual(centr_ras.size, width * height) + np.testing.assert_allclose( + [-69.333, -69.324, -69.333], centr_ras.lon[[0, 1, width]], atol=0.001, + ) + np.testing.assert_allclose( + [10.424, 10.424, 10.415], centr_ras.lat[[0, 1, width]], atol=0.001, + ) def test_ne_crs_geom_pass(self): """Test _ne_crs_geom""" centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) ne_geom = centr._ne_crs_geom() self.assertTrue(u_coord.equal_crs(ne_geom.crs, u_coord.NE_CRS)) + np.testing.assert_allclose(ne_geom.geometry[:].x.values, 4.5, atol=0.1) + np.testing.assert_allclose(ne_geom.geometry[:].y.values, 0.0, atol=0.001) def test_region_id_pass(self): """Test set_dist_coast""" From a7b8cf95da688bb50a48d3b0dca31bd7d86dd906 Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Wed, 24 Jan 2024 15:16:50 +0100 Subject: [PATCH 154/192] Centroids: fix from_exposures --- climada/hazard/centroids/centr.py | 32 ++++++++++++--------- climada/hazard/centroids/test/test_centr.py | 4 +-- 2 files changed, 20 insertions(+), 16 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 10e175eda1..95e28a0e4e 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -288,10 +288,9 @@ def from_exposures(cls, exposures): ValueError """ col_names = [ - column - for column in exposures.gdf.columns - if not np.any(np.isin(EXP_SPECIFIC_COLS, column)) - ] + column for column in exposures.gdf.columns + if not any(pattern in column for pattern in EXP_SPECIFIC_COLS) + ] # Legacy behaviour # Exposures can be without geometry column @@ -316,27 +315,32 @@ def from_exposures(cls, exposures): @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): - """Create Centroids object with meta attribute according to points border data. + """Create Centroids object from coordinate bounds and resolution. - raster border = point border + res/2 + The result contains all points from a regular raster with the given resolution and CRS, + covering the given bounds. Note that the raster bounds are larger than the points' bounds + by res/2. Parameters ---------- points_bounds : tuple - points' lon_min, lat_min, lon_max, lat_max + The bounds (lon_min, lat_min, lon_max, lat_max) of the point coordinates. res : float - desired resolution in same units as points_bounds + The desired resolution in same units as `points_bounds`. crs : dict() or rasterio.crs.CRS, optional - CRS. Default: DEF_CRS + Coordinate reference system. Default: DEF_CRS Returns ------- - centr : Centroids - Centroids with meta according to given points border data. + Centroids """ - rows, cols, ras_trans = u_coord.pts_to_raster_meta(points_bounds, (res, -res)) - x_grid, y_grid = u_coord.raster_to_meshgrid(ras_trans, cols, rows) - return cls(lat=y_grid.flatten(), lon=x_grid.flatten(), crs=crs) + height, width, transform = u_coord.pts_to_raster_meta(points_bounds, (res, -res)) + return cls.from_meta({ + "crs": crs, + "width": width, + "height": height, + "transform": transform, + }) def append(self, centr): """Append Centroids diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 979c5eaf4b..578cb5040d 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -341,9 +341,9 @@ def test_from_exposures_without_region_id(self): self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) self.assertEqual(centroids.region_id, None) self.assertEqual(centroids.on_land, None) - self.testing.assert_equal( + np.testing.assert_equal( np.isin(['value', 'impf_tc', 'centr_tc'], centroids.gdf.columns), - True, + False, ) From e514195e084c8b7f7492388ce67c6751a8f09d27 Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Wed, 24 Jan 2024 16:25:33 +0100 Subject: [PATCH 155/192] Centroids: implement get_pixel_shapes --- climada/hazard/base.py | 6 +- climada/hazard/centroids/centr.py | 161 +++++++++++++++++------------- 2 files changed, 92 insertions(+), 75 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index db274c9b70..7b5deaf8ec 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1743,11 +1743,7 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): # centroids already in raster format u_coord.write_raster(file_name, var_to_write.toarray(), meta) else: - geometry = self.centroids.gdf.geometry.buffer( - distance=res/2, resolution=1, cap_style=3, - ) - # resolution=1, cap_style=3: squared buffers - # https://shapely.readthedocs.io/en/latest/manual.html#object.buffer + geometry = self.centroids.get_pixel_shapes(res=res) with rasterio.open(file_name, 'w', **meta) as dst: LOGGER.info('Writing %s', file_name) for i_ev in range(self.size): diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 95e28a0e4e..06a235ef8e 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -60,16 +60,15 @@ class Centroids(): Attributes ---------- lat : np.array - latitudes in the chosen crs (can be any unit) + Latitudinal coordinates in the specified CRS (can be any unit). lon : np.array - longitudes in the chosen crs (can be any unit) - crs : str, optional - coordinate reference system, default is WGS84 + Longitudinal coordinates in the specified CRS (can be any unit). + crs : pyproj.CRS + Coordinate reference system. Default: EPSG:4326 (WGS84) region_id : np.array, optional - region numeric codes - (can be any values, admin0, admin1, custom values) + Numeric country (or region) codes. Default: None on_land : np.array, optional - on land (True) and on sea (False) + Boolean array indicating on land (True) or off shore (False). Default: None """ def __init__( @@ -77,7 +76,7 @@ def __init__( *, lat: Union[np.ndarray, list[float]], lon: Union[np.ndarray, list[float]], - crs: str = DEF_CRS, + crs: any = DEF_CRS, region_id: Union[Literal["country"], None, np.ndarray, list[float]] = None, on_land: Union[Literal["natural_earth"], None, np.ndarray, list[bool]] = None, **kwargs @@ -87,15 +86,18 @@ def __init__( Parameters ---------- lat : np.array - latitude of size size. Defaults to empty array + Latitudinal coordinates in the specified CRS (can be any unit). lon : np.array - longitude of size size. Defaults to empty array - crs : str - coordinate reference system - region_id : np.array, optional - country region code of size size, Defaults to None array - on_land : np.array, optional - on land (True) and on sea (False) of size size. Defaults to None array + Longitudinal coordinates in the specified CRS (can be any unit). + crs : str or anything accepted by pyproj.CRS.from_user_input() + Coordinate reference system. Default: EPSG:4326 (WGS84) + region_id : np.array or str, optional + Array of numeric country (or region) codes. If the special value "country" is given + admin-0 codes are automatically assigned. Default: None + on_land : np.array or str, optional + Boolean array indicating on land (True) or off shore (False). If the special value + "natural_earth" is given, the property is automatically determined from NaturalEarth + shapes. Default: None """ self.gdf = gpd.GeoDataFrame( @@ -103,7 +105,7 @@ def __init__( 'geometry': gpd.points_from_xy(lon, lat, crs=crs), 'region_id': region_id, 'on_land': on_land, - **kwargs + **kwargs, } ) @@ -516,40 +518,38 @@ def set_region_id(self, level='country', overwrite=False): Parameters ---------- - level: str - defines the admin level on which to assign centroids. Currently - only 'country' (admin0) is implemented. Default is 'country'. + level: str, optional + The admin level on which to assign centroids. Currently only 'country' (admin0) is + implemented. Defaul: 'country' overwrite : bool, optional - if True, overwrites the existing region_id information. - if False and region_id is None region_id is computed. + If True, overwrite the existing region_id information. If False, region_id is set + only if region_id is missing (None). Default: False """ if overwrite or self.region_id is None: LOGGER.debug('Setting region_id %s points.', str(self.size)) if level == 'country': ne_geom = self._ne_crs_geom() self.gdf['region_id'] = u_coord.get_country_code( - ne_geom.y.values, ne_geom.x.values - ) + ne_geom.y.values, ne_geom.x.values, + ) else: raise NotImplementedError( 'The region id can only be assigned for countries so far' - ) + ) return None def set_on_land(self, source='natural_earth', overwrite=False): """Set on_land attribute for every pixel or point. - natural_earth: https://www.naturalearthdata.com/ - Parameters ---------- - source: str - defines the source of the coastlines. Currently - only 'natural_earth' is implemented. - Default is 'natural_earth'. - overwrite : bool - if True, overwrites the existing on_land information. - if False and on_land is None on_land is computed. + source: str, optional + The source of the on-land information. Currently, only 'natural_earth' (based on shapes + from NaturalEarth, https://www.naturalearthdata.com/) is implemented. + Default: 'natural_earth'. + overwrite : bool, optional + If True, overwrite the existing on_land information. If False, on_land is set + only if on_land is missing (None). Default: False """ if overwrite or self.on_land is None: LOGGER.debug('Setting on_land %s points.', str(self.lat.size)) @@ -560,41 +560,64 @@ def set_on_land(self, source='natural_earth', overwrite=False): ) else: raise NotImplementedError( - 'The on land variables can only be assigned' - 'using natural earth.' - ) + 'The on land variables can only be automatically assigned using natural earth.' + ) return None - def get_area_pixel(self, min_resol=1.0e-8): - """Computes the area per centroid in the CEA projection - assuming that the centroids define a regular grid of pixels - (area in m*m). + def get_pixel_shapes(self, res=None, **kwargs): + """Create a GeoSeries of the quadratic pixel shapes at the centroid locations + + Note that this assumes that the centroids define a regular grid of pixels. Parameters ---------- - min_resol : float, optional - Use this minimum resolution in lat and lon. Is passed to the - method climada.util.coordinates.get_resolution. - Default: 1.0e-8 + res : float, optional + The resolution of the regular grid the pixels are taken from. If not given, it is + estimated using climada.util.coordinates.get_resolution. Default: None + kwargs : optional + Additional keyword arguments are passed to climada.util.coordinates.get_resolution. Returns ------- - areapixels : np.array - area values in m*m + GeoSeries See also -------- climada.util.coordinates.get_resolution """ + if res is None: + res = np.abs(u_coord.get_resolution(self.lat, self.lon, **kwargs)).min() + geom = self.geometry.copy() + # unset CRS to avoid warnings about geographic CRS when using `GeoSeries.buffer` + geom.crs = None + return geom.buffer( + # resolution=1, cap_style=3: squared buffers + # https://shapely.readthedocs.io/en/latest/manual.html#object.buffer + distance=res / 2, resolution=1, cap_style=3, + # reset CRS (see above) + ).set_crs(self.crs) - res = np.abs(u_coord.get_resolution(self.lat, self.lon, min_resol=min_resol)).min() - LOGGER.debug('Setting area_pixel %s points.', str(self.lat.size)) - xy_pixels = self.geometry.buffer(res / 2, resolution=1, cap_style=3).envelope - if PROJ_CEA == self.geometry.crs: - area_pixel = xy_pixels.area.values - else: - area_pixel = xy_pixels.to_crs(crs={'proj': 'cea'}).area.values - return area_pixel + def get_area_pixel(self, min_resol=1.0e-8): + """Compute the area per centroid in the CEA projection + + Note that this assumes that the centroids define a regular grid of pixels (area in m²). + + Parameters + ---------- + min_resol : float, optional + When estimating the grid resolution, use this as the minimum resolution in lat and lon. + It is passed to climada.util.coordinates.get_resolution. Default: 1.0e-8 + + Returns + ------- + areapixels : np.array + Area of each pixel in square meters. + """ + LOGGER.debug('Computing pixel area for %d centroids.', self.size) + xy_pixels = self.get_pixel_shapes(min_resol=min_resol) + if PROJ_CEA != xy_pixels.crs: + xy_pixels = xy_pixels.to_crs(crs={'proj': 'cea'}) + return xy_pixels.area.values def get_closest_point(self, x_lon, y_lat): """Returns closest centroid and its index to a given point. @@ -737,11 +760,10 @@ def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, """ meta, _ = u_coord.read_raster( file_name, [1], src_crs, window, geometry, dst_crs, - transform, width, height, resampling) - lat, lon = _meta_to_lat_lon(meta) - if return_meta: - return cls(lon=lon, lat=lat, crs=meta['crs']), meta - return cls(lon=lon, lat=lat, crs=meta['crs']) + transform, width, height, resampling, + ) + centr = cls.from_meta(meta) + return (centr, meta) if return_meta else centr @classmethod def from_meta(cls, meta): @@ -911,10 +933,10 @@ def from_hdf5(cls, file_name): gdf = gpd.GeoDataFrame(store['centroids'], crs=crs) except TypeError: with h5py.File(file_name, 'r') as data: - gdf = cls._legacy_from_hdf5(data.get('centroids')) + gdf = cls._gdf_from_legacy_hdf5(data.get('centroids')) except KeyError: with h5py.File(file_name, 'r') as data: - gdf = cls._legacy_from_hdf5(data) + gdf = cls._gdf_from_legacy_hdf5(data) return cls.from_geodataframe(gdf) @@ -943,8 +965,7 @@ def _from_dataframe(cls, df): **extra_values, crs=crs ) - @classmethod - def _legacy_from_hdf5(cls, data): + def _gdf_from_legacy_hdf5(data): crs = DEF_CRS if data.get('crs'): crs = u_coord.to_crs_user_input(data.get('crs')[0]) @@ -1026,10 +1047,10 @@ def _meta_to_lat_lon(meta): Returns ------- - tuple(np.ndarray, np.ndarray) - latitudes, longitudes + latitudes : np.ndarray + Latitudinal coordinates of pixel centers. + longitudes : np.ndarray + Longitudinal coordinates of pixel centers. """ - xgrid, ygrid = u_coord.raster_to_meshgrid( - meta['transform'], meta['width'], meta['height'] - ) - return ygrid.flatten(), xgrid.flatten() + xgrid, ygrid = u_coord.raster_to_meshgrid(meta['transform'], meta['width'], meta['height']) + return ygrid.ravel(), xgrid.ravel() From ec11611abe7dba7941853b2e786f48f60870a0dc Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Thu, 25 Jan 2024 12:02:13 +0100 Subject: [PATCH 156/192] Centroids: code linting and docstrings --- climada/hazard/centroids/centr.py | 199 +++++++++++++++--------------- climada/util/coordinates.py | 3 - 2 files changed, 100 insertions(+), 102 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 06a235ef8e..6a46f932ab 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -79,7 +79,7 @@ def __init__( crs: any = DEF_CRS, region_id: Union[Literal["country"], None, np.ndarray, list[float]] = None, on_land: Union[Literal["natural_earth"], None, np.ndarray, list[bool]] = None, - **kwargs + **kwargs, ): """Initialization @@ -98,6 +98,8 @@ def __init__( Boolean array indicating on land (True) or off shore (False). If the special value "natural_earth" is given, the property is automatically determined from NaturalEarth shapes. Default: None + kwargs : dict + Additional columns with data to store in the internal GeoDataFrame (gdf attribute). """ self.gdf = gpd.GeoDataFrame( @@ -181,18 +183,16 @@ def __eq__(self, other): Returns ------- - eq : bool + bool """ - eq_crs = u_coord.equal_crs(self.crs, other.crs) + if not u_coord.equal_crs(self.crs, other.crs): + return False + try: - pd.testing.assert_frame_equal( - self.gdf, other.gdf, check_like=True - ) - eq_df = True + pd.testing.assert_frame_equal(self.gdf, other.gdf, check_like=True) + return True except AssertionError: - eq_df = False - - return eq_crs & eq_df + return False def to_default_crs(self, inplace=True): """Project the current centroids to the default CRS (epsg4326) @@ -253,10 +253,9 @@ def from_geodataframe(cls, gdf): ------ ValueError """ - if np.any(gdf.geom_type != 'Point'): + if (gdf.geom_type != 'Point').any(): raise ValueError( - 'The inpute geodataframe contains geometries' - ' that are not points.' + 'The inpute geodataframe contains geometries that are not points.' ) # Don't forget to make a copy!! @@ -264,26 +263,27 @@ def from_geodataframe(cls, gdf): # in the init. For large datasets this saves computation time centroids = cls(lat=[1], lon=[1]) #make "empty" centroids centroids.gdf = gdf.copy(deep=True) - if not gdf.crs: + if gdf.crs is None: centroids.gdf.set_crs(DEF_CRS, inplace=True) return centroids @classmethod def from_exposures(cls, exposures): - """Generate centroids from the location of an exposures. - The columns value, impf_*, centr_*, cover, deductible, - are discarded. + """Generate centroids from the locations of exposures. + + The properties "region_id" and "on_land" are also extracted from the Exposures object if + available. The columns "value", "impf_*", "centr_*", "cover", and "deductible" are not + used. Parameters ---------- - exposures : Exposure - exposures from which to take the centroids location - and region_id (if defined) and on_land (if defined) + exposures : Exposures + Exposures from which to take the centroids locations (as well as region_id and on_land + if available). Returns ------- Centroids - Centroids built from the exposures geodataframe Raises ------ @@ -304,16 +304,17 @@ def from_exposures(cls, exposures): if 'latitude' in exposures.gdf.columns and 'longitude' in exposures.gdf.columns: gdf = exposures.gdf[col_names] return cls( - lat = exposures.gdf['latitude'], - lon = exposures.gdf['longitude'], - crs = exposures.crs, - **dict(gdf.items()) + lat=exposures.gdf['latitude'], + lon=exposures.gdf['longitude'], + crs=exposures.crs, + **dict(gdf.items()), ) raise ValueError( "The given exposures object has no coordinates information." - "The exposures' geodataframe must have either point geometries" - " or latitude and longitude values.") + "The exposures' GeoDataFrame must have either point geometries" + " or latitude and longitude values." + ) @classmethod def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): @@ -347,6 +348,9 @@ def from_pnt_bounds(cls, points_bounds, res, crs=DEF_CRS): def append(self, centr): """Append Centroids + Note that the result might contain duplicate points if the object to append has an overlap + with the current object. + Parameters ---------- centr : Centroids @@ -359,38 +363,37 @@ def append(self, centr): See Also -------- union : Union of Centroid objects. + remove_duplicate_points : Remove duplicate points in a Centroids object. """ if not u_coord.equal_crs(self.crs, centr.crs): raise ValueError( - "The centroids have different Coordinate-Reference-Systems (CRS)") + "The centroids have different Coordinate-Reference-Systems (CRS)" + ) self.gdf = pd.concat([self.gdf, centr.gdf]) def union(self, *others): - """Create the union of centroids from the inputs. - The centroids are combined together point by point. - All centroids must have the same CRS. + """Create the union of Centroids objects + + All centroids must have the same CRS. Points that are contained in more than one of the + Centroids objects will only be contained once (i.e. duplicates are removed). Parameters ---------- - others : any number of climada.hazard.Centroids() - Centroids to form the union with + others : list of Centroids + Centroids contributing to the union. Returns ------- centroids : Centroids - Centroids containing the union of all Centroids. - + Centroids object containing the union of all Centroids. """ centroids = copy.deepcopy(self) for cent in others: centroids.append(cent) + return centroids.remove_duplicate_points() - # remove duplicate points - return Centroids.remove_duplicate_points(centroids) - - @classmethod - def remove_duplicate_points(cls, centr): - """Return a copy of centroids with removed duplicated points + def remove_duplicate_points(self): + """Return a copy of centroids with duplicate points removed Parameters ---------- @@ -400,25 +403,30 @@ def remove_duplicate_points(cls, centr): Returns ------- centroids : Centroids - Sub-selection of centroids without duplicates + A new Centroids object that contains a subselection of the original centroids without + duplicates. Note that a copy is returned even if there were no duplicates. """ - return cls.from_geodataframe(centr.gdf.drop_duplicates()) + return self.from_geodataframe(self.gdf.drop_duplicates(subset=["geometry"])) def select(self, reg_id=None, extent=None, sel_cen=None): - """Return Centroids with points in the given reg_id and/or in an - spatial extent and/or in an index based list + """Return new Centroids object containing points following certain criteria + + It is currently possible to filter by region (reg_id), by geographical extent (extent), or + by an explicit list of indices/a mask (sel_cen). If more than one criterion is given, all + of them must be satisfied for a point to be included in the selection. Parameters ---------- - reg_id : int, optional - region to filter according to region_id values + reg_id : int or list of int, optional + Numeric ID (or IDs) of the region (or regions) to restrict to, according to the values + in the region_id property. Default: None extent : tuple, optional - Format (min_lon, max_lon, min_lat, max_lat) tuple. - If min_lon > lon_max, the extend crosses the antimeridian and is - [lon_max, 180] + [-180, lon_min] - Borders are inclusive. - sel_cen : np.array, optional - 1-dim mask or 1-dim centroids indices, complements reg_id and extent + The geographical extent (min_lon, max_lon, min_lat, max_lat) to restrict to, including + the boundary. If the value for min_lon is greater than lon_max, the extent is + interpreted to cross the antimeridian ([lon_max, 180] and [-180, lon_min]). + Default: None + sel_cen : np.ndarray of int or bool, optional + Boolean mask, or list of indices to restrict to. Default: None Returns ------- @@ -426,36 +434,35 @@ def select(self, reg_id=None, extent=None, sel_cen=None): Sub-selection of this object """ sel_cen_bool = sel_cen - #if needed, convert indices to bool - if sel_cen is not None: - if sel_cen.dtype.kind == 'i': #is integer - sel_cen_bool = np.zeros(self.size, dtype=bool) - sel_cen_bool[np.unique(sel_cen)] = True + if sel_cen is not None and sel_cen.dtype.kind == 'i': + # if needed, convert indices to bool + sel_cen_bool = np.zeros(self.size, dtype=bool) + sel_cen_bool[np.unique(sel_cen)] = True sel_cen_mask = self.select_mask(sel_cen=sel_cen_bool, reg_id=reg_id, extent=extent) - return Centroids.from_geodataframe(self.gdf[sel_cen_mask]) + return Centroids.from_geodataframe(self.gdf.iloc[sel_cen_mask]) def select_mask(self, sel_cen=None, reg_id=None, extent=None): - """Return mask of selected centroids + """Create mask of selected centroids Parameters ---------- - sel_cen: np.array(bool), optional - boolean array mask for centroids - reg_id : int, optional - region to filter according to region_id values + sel_cen: np.ndarray of bool, optional + Boolean array, with size matching the number of centroids. Default: None + reg_id : int or list of int, optional + Numeric ID (or IDs) of the region (or regions) to restrict to, according to the values + in the region_id property. Default: None extent : tuple, optional - Format (min_lon, max_lon, min_lat, max_lat) tuple. - If min_lon > lon_max, the extend crosses the antimeridian and is - [lon_max, 180] + [-180, lon_min] - Borders are inclusive. + The geographical extent (min_lon, max_lon, min_lat, max_lat) to restrict to, including + the boundary. If the value for min_lon is greater than lon_max, the extent is + interpreted to cross the antimeridian ([lon_max, 180] and [-180, lon_min]). + Default: None Returns ------- - sel_cen : 1d array of booleans - 1d mask of selected centroids - + sel_cen : np.ndarray of bool + Boolean array (mask) with value True for centroids in selection. """ if sel_cen is None: sel_cen = np.ones(self.size, dtype=bool) @@ -472,7 +479,7 @@ def select_mask(self, sel_cen=None, reg_id=None, extent=None): ) return sel_cen - #TODO replace with nice Geodataframe util plot method. + #TODO replace with nice GeoDataFrame util plot method. def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, **kwargs): """Plot centroids scatter points over earth @@ -520,7 +527,7 @@ def set_region_id(self, level='country', overwrite=False): ---------- level: str, optional The admin level on which to assign centroids. Currently only 'country' (admin0) is - implemented. Defaul: 'country' + implemented. Default: 'country' overwrite : bool, optional If True, overwrite the existing region_id information. If False, region_id is set only if region_id is missing (None). Default: False @@ -625,16 +632,16 @@ def get_closest_point(self, x_lon, y_lat): Parameters ---------- x_lon : float - x coord (lon) + Longitudinal (x) coordinate. y_lat : float - y coord (lat) + Latitudinal (y) coordinate. Returns ------- x_close : float x-coordinate (longitude) of closest centroid. y_close : float - y-coordinate (latitude) of closest centroids. + y-coordinate (latitude) of closest centroid. idx_close : int Index of centroid in internal ordering of centroids. """ @@ -703,8 +710,9 @@ def get_meta(self, resolution=None): resolution = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() xmin, ymin, xmax, ymax = self.gdf.total_bounds rows, cols, ras_trans = u_coord.pts_to_raster_meta( - (xmin, ymin, xmax, ymax), (resolution, -resolution) - ) + (xmin, ymin, xmax, ymax), + (resolution, -resolution), + ) meta = { 'crs': self.crs, 'height': rows, @@ -810,21 +818,21 @@ def from_vector_file(cls, file_name, dst_crs=None): return centroids @classmethod - def from_csv(cls, file_path): + def from_csv(cls, file_path, **kwargs): """Generate centroids from a CSV file with column names in var_names. Parameters ---------- file_path : str path to CSV file to be read + kwargs : dict + Additional keyword arguments to pass on to pandas.read_csv. Returns ------- Centroids - Centroids with data from the given CSV file """ - df = pd.read_csv(file_path) - return cls._from_dataframe(df) + return cls._from_dataframe(pd.read_csv(file_path, **kwargs)) def write_csv(self, file_path): """Save centroids as CSV file @@ -834,9 +842,9 @@ def write_csv(self, file_path): file_path : str, Path absolute or relative file path and name to write to """ + file_path = Path(file_path).with_suffix('.csv') LOGGER.info('Writing %s', file_path) - df = self._centroids_to_dataframe() - df.to_csv(Path(file_path).with_suffix('.csv'), index=False) + self._centroids_to_dataframe().to_csv(file_path, index=False) @classmethod @@ -869,12 +877,11 @@ def write_excel(self, file_path): file_path : str, Path absolute or relative file path and name to write to """ + file_path = Path(file_path).with_suffix('.xlsx') LOGGER.info('Writing %s', file_path) - df = self._centroids_to_dataframe() - df.to_excel( - Path(file_path).with_suffix('.xlsx'), - sheet_name=DEF_SHEET_NAME, index=False - ) + self._centroids_to_dataframe().to_excel( + file_path, sheet_name=DEF_SHEET_NAME, index=False, + ) def write_hdf5(self, file_name, mode='w'): """Write data frame and metadata in hdf5 format @@ -948,22 +955,16 @@ def _from_dataframe(cls, df): if 'crs' in df.columns: crs = df['crs'].iloc[0] else: - LOGGER.info( - 'No \'crs\' column provided in file,' - 'setting CRS to WGS84 default.' - ) + LOGGER.info("No 'crs' column provided in file, setting CRS to WGS84 default.") crs = DEF_CRS extra_values = { col: df[col] for col in df.columns if col not in ['lat', 'lon', 'crs'] - } + } - return cls( - lat=df['lat'], lon=df['lon'], - **extra_values, crs=crs - ) + return cls(lat=df['lat'], lon=df['lon'], **extra_values, crs=crs) def _gdf_from_legacy_hdf5(data): crs = DEF_CRS @@ -995,7 +996,7 @@ def _gdf_from_legacy_hdf5(data): return gpd.GeoDataFrame( extra_values, - geometry=gpd.points_from_xy(x=longitude, y=latitude, crs=crs) + geometry=gpd.points_from_xy(x=longitude, y=latitude, crs=crs), ) @classmethod diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index a4f61682a8..0d9e4fd9c4 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -68,9 +68,6 @@ NE_CRS = f"epsg:{NE_EPSG}" """Natural Earth CRS""" -TMP_ELEVATION_FILE = SYSTEM_DIR.joinpath('tmp_elevation.tif') -"""Path of elevation file written in set_elevation""" - DEM_NODATA = -9999 """Value to use for no data values in DEM, i.e see points""" From e77af81a2132cb908e81287c65d373d4f9a1123c Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Mon, 29 Jan 2024 15:56:07 +0100 Subject: [PATCH 157/192] hazard.test.test_base: remove undefined classes from main --- climada/hazard/test/test_base.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/climada/hazard/test/test_base.py b/climada/hazard/test/test_base.py index 0a7e6bfd56..f322412856 100644 --- a/climada/hazard/test/test_base.py +++ b/climada/hazard/test/test_base.py @@ -1246,13 +1246,11 @@ def test_get_fraction(self): TESTS = unittest.TestLoader().loadTestsFromTestCase(TestLoader) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestHDF5)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestReaderExcel)) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestReaderMat)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestRemoveDupl)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestSelect)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestStats)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestYearset)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestAppend)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroids)) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestClear)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestImpactFuncs)) unittest.TextTestRunner(verbosity=2).run(TESTS) From bba7e495c5fdd80198b041b3f6eefb6af9c47314 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Tue, 30 Jan 2024 08:29:48 +0100 Subject: [PATCH 158/192] hazard.base: remove unused imports --- climada/hazard/base.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 7b5deaf8ec..45f85c9b8b 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -29,15 +29,13 @@ from typing import Union, Optional, Callable, Dict, Any, List import warnings -import geopandas as gpd import h5py import matplotlib.pyplot as plt import numpy as np import pandas as pd from pathos.pools import ProcessPool as Pool import rasterio -from rasterio.features import rasterize -from rasterio.warp import reproject, Resampling, calculate_default_transform +from rasterio.warp import Resampling import sparse as sp from scipy import sparse import xarray as xr From 655b749920467fe6858b4b6ac88efd9a7be5942e Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Tue, 30 Jan 2024 09:10:29 +0100 Subject: [PATCH 159/192] hazard.base: clean up imports --- climada/hazard/base.py | 30 +++++++++++++++--------------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 45f85c9b8b..f9bc0d0270 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -35,20 +35,20 @@ import pandas as pd from pathos.pools import ProcessPool as Pool import rasterio -from rasterio.warp import Resampling +import rasterio.features +import rasterio.warp import sparse as sp from scipy import sparse import xarray as xr +from climada import CONFIG from climada.hazard.centroids.centr import Centroids -import climada.util.plot as u_plot import climada.util.checker as u_check +import climada.util.constants as u_const +import climada.util.coordinates as u_coord import climada.util.dates_times as u_dt -from climada import CONFIG import climada.util.hdf5_handler as u_hdf5 -import climada.util.coordinates as u_coord -from climada.util.constants import ONE_LAT_KM, DEF_CRS, DEF_FREQ_UNIT -from climada.util.coordinates import NEAREST_NEIGHBOR_THRESHOLD +import climada.util.plot as u_plot LOGGER = logging.getLogger(__name__) @@ -172,7 +172,7 @@ def __init__(self, centroids: Optional[Centroids] = None, event_id: Optional[np.ndarray] = None, frequency: Optional[np.ndarray] = None, - frequency_unit: str = DEF_FREQ_UNIT, + frequency_unit: str = u_const.DEF_FREQ_UNIT, event_name: Optional[List[str]] = None, date: Optional[np.ndarray] = None, orig: Optional[np.ndarray] = None, @@ -258,7 +258,7 @@ def get_default(cls, attribute): Any """ return { - 'frequency_unit': DEF_FREQ_UNIT, + 'frequency_unit': u_const.DEF_FREQ_UNIT, }.get(attribute) def check(self): @@ -274,7 +274,7 @@ def check(self): def from_raster(cls, files_intensity, files_fraction=None, attrs=None, band=None, haz_type=None, pool=None, src_crs=None, window=None, geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest): + height=None, resampling=rasterio.warp.Resampling.nearest): """Create Hazard with intensity and fraction values from raster files If raster files are masked, the masked values are set to 0. @@ -449,7 +449,7 @@ def from_xarray_raster( intensity: str = "intensity", coordinate_vars: Optional[Dict[str, str]] = None, data_vars: Optional[Dict[str, str]] = None, - crs: str = DEF_CRS, + crs: str = u_const.DEF_CRS, rechunk: bool = False, ): """Read raster-like data from an xarray Dataset @@ -1339,7 +1339,7 @@ def select(self, event_names=None, event_id=None, date=None, orig=None, LOGGER.warning("Resetting the frequency is based on the calendar year of given" " dates but the frequency unit here is %s. Consider setting the frequency" " manually for the selection or changing the frequency unit to %s.", - self.frequency_unit, DEF_FREQ_UNIT) + self.frequency_unit, u_const.DEF_FREQ_UNIT) year_span_old = np.abs(dt.datetime.fromordinal(self.date.max()).year - dt.datetime.fromordinal(self.date.min()).year) + 1 year_span_new = np.abs(dt.datetime.fromordinal(haz.date.max()).year - @@ -1349,7 +1349,7 @@ def select(self, event_names=None, event_id=None, date=None, orig=None, haz.sanitize_event_ids() return haz - def select_tight(self, buffer=NEAREST_NEIGHBOR_THRESHOLD/ONE_LAT_KM, + def select_tight(self, buffer=u_coord.NEAREST_NEIGHBOR_THRESHOLD / u_const.ONE_LAT_KM, val='intensity'): """ Reduce hazard to those centroids spanning a minimal box which @@ -1678,7 +1678,7 @@ def set_frequency(self, yearrange=None): if self.frequency_unit not in ['1/year', 'annual', '1/y', '1/a']: LOGGER.warning("setting the frequency on a hazard object who's frequency unit" "is %s and not %s will most likely lead to unexpected results", - self.frequency_unit, DEF_FREQ_UNIT) + self.frequency_unit, u_const.DEF_FREQ_UNIT) if not yearrange: delta_time = dt.datetime.fromordinal(int(np.max(self.date))).year - \ dt.datetime.fromordinal(int(np.min(self.date))).year + 1 @@ -2317,7 +2317,7 @@ def concat(cls, haz_list): haz_concat.append(*haz_list) return haz_concat - def change_centroids(self, centroids, threshold=NEAREST_NEIGHBOR_THRESHOLD): + def change_centroids(self, centroids, threshold=u_coord.NEAREST_NEIGHBOR_THRESHOLD): """ Assign (new) centroids to hazard. @@ -2495,7 +2495,7 @@ def _get_fraction(self, cent_idx=None): def _values_from_raster_files( file_names, meta, band=None, src_crs=None, window=None, geometry=None, dst_crs=None, transform=None, width=None, - height=None, resampling=Resampling.nearest, + height=None, resampling=rasterio.warp.Resampling.nearest, ): """Read raster of bands and set 0 values to the masked ones. From 7dfa631f10874aacfd59f4f4f7f94113db07250b Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Tue, 30 Jan 2024 14:27:25 +0100 Subject: [PATCH 160/192] cosmetics --- climada/hazard/base.py | 6 +++--- climada/test/test_hazard.py | 2 +- doc/tutorial/climada_hazard_Hazard.ipynb | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index f9bc0d0270..f77283472a 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -373,9 +373,9 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, ) if files_fraction is not None: fraction = _values_from_raster_files( - files_fraction, meta=meta, band=band, src_crs=src_crs, window=window, geometry=geometry, - dst_crs=dst_crs, transform=transform, width=width, height=height, - resampling=resampling) + files_fraction, meta=meta, band=band, src_crs=src_crs, window=window, + geometry=geometry, dst_crs=dst_crs, transform=transform, width=width, + height=height, resampling=resampling) if files_fraction is None: fraction = intensity.copy() diff --git a/climada/test/test_hazard.py b/climada/test/test_hazard.py index 18fe40e717..6166e9ecd3 100644 --- a/climada/test/test_hazard.py +++ b/climada/test/test_hazard.py @@ -379,7 +379,7 @@ def test_write_read_pass(self): self.assertIsInstance(haz_read.fraction, sparse.csr_matrix) def test_read_raster_pass(self): - """Test raster_to_vector method""" + """Test from_raster method""" haz_fl = Hazard.from_raster([HAZ_DEMO_FL], haz_type="FL") inten_orig = haz_fl.intensity diff --git a/doc/tutorial/climada_hazard_Hazard.ipynb b/doc/tutorial/climada_hazard_Hazard.ipynb index 2375b5d97c..21cb19ac39 100644 --- a/doc/tutorial/climada_hazard_Hazard.ipynb +++ b/doc/tutorial/climada_hazard_Hazard.ipynb @@ -418,7 +418,7 @@ "- `select()` returns a new hazard with the selected region, date and/or synthetic or historical filter.\n", "- `remove_duplicates()` removes events with same name and date.\n", "- `local_exceedance_inten()` returns a matrix with the exceedence frequency at every frequency and provided return periods. This is the one used in `plot_rp_intensity()`.\n", - "- `reproject_raster()`, `reproject_vector()`, `raster_to_vector()`, `vector_to_raster()` are methods to change centroids' CRS and between raster and vector data. \n", + "- `reproject_vector()` is a method to change the centroids' CRS. \n", "\n", "`Centroids` methods:\n", "- centroids properties such as area per pixel, distance to coast, country ISO code, on land mask or elevation are available through different `set_XX()`methods.\n", From eda27554fa1c396e68934a8a63adc5426926238c Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Tue, 30 Jan 2024 14:40:27 +0100 Subject: [PATCH 161/192] hazard.base.write_htdf5: add inline comment. --- climada/hazard/base.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index f77283472a..8dd6fe2b75 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1775,6 +1775,8 @@ def write_hdf5(self, file_name, todense=False): str_dt = h5py.special_dtype(vlen=str) for (var_name, var_val) in self.__dict__.items(): if var_name == 'centroids': + # Centroids have their own write_hdf2 method, + # which is invoked at the end of this method (s.b.) pass elif isinstance(var_val, sparse.csr_matrix): if todense: From 8fcf3b3c129a018a69b67b310cbfed7b2b59bb6e Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 31 Jan 2024 09:41:15 +0100 Subject: [PATCH 162/192] Centroids: fix _gdf_from_legacy_hdf signature --- climada/hazard/centroids/centr.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 6a46f932ab..2253bfc2c8 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -22,7 +22,7 @@ import copy import logging from pathlib import Path -from typing import Union, Literal +from typing import Any, Literal, Union import warnings import h5py @@ -76,7 +76,7 @@ def __init__( *, lat: Union[np.ndarray, list[float]], lon: Union[np.ndarray, list[float]], - crs: any = DEF_CRS, + crs: Any = DEF_CRS, region_id: Union[Literal["country"], None, np.ndarray, list[float]] = None, on_land: Union[Literal["natural_earth"], None, np.ndarray, list[bool]] = None, **kwargs, @@ -697,7 +697,7 @@ def get_meta(self, resolution=None): Parameters ---------- - resolution : int, optional + resolution : float, optional Resolution of the raster. If not given, the resolution is estimated from the centroids by assuming that they form a regular raster. Default: None @@ -966,7 +966,8 @@ def _from_dataframe(cls, df): return cls(lat=df['lat'], lon=df['lon'], **extra_values, crs=crs) - def _gdf_from_legacy_hdf5(data): + @classmethod + def _gdf_from_legacy_hdf5(cls, data): crs = DEF_CRS if data.get('crs'): crs = u_coord.to_crs_user_input(data.get('crs')[0]) From 57fd36998fa7569efa87dfd9a4466ec07048184e Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Wed, 31 Jan 2024 09:53:31 +0100 Subject: [PATCH 163/192] Centroids._gdf_from_legacy_hdf5: static, not classmethod --- climada/hazard/base.py | 2 +- climada/hazard/centroids/centr.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 8dd6fe2b75..87769f1a22 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1775,7 +1775,7 @@ def write_hdf5(self, file_name, todense=False): str_dt = h5py.special_dtype(vlen=str) for (var_name, var_val) in self.__dict__.items(): if var_name == 'centroids': - # Centroids have their own write_hdf2 method, + # Centroids have their own write_hdf5 method, # which is invoked at the end of this method (s.b.) pass elif isinstance(var_val, sparse.csr_matrix): diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 2253bfc2c8..7c971c8faa 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -966,8 +966,8 @@ def _from_dataframe(cls, df): return cls(lat=df['lat'], lon=df['lon'], **extra_values, crs=crs) - @classmethod - def _gdf_from_legacy_hdf5(cls, data): + @staticmethod + def _gdf_from_legacy_hdf5(data): crs = DEF_CRS if data.get('crs'): crs = u_coord.to_crs_user_input(data.get('crs')[0]) From ddb6dcc464d5b73b7f7c904fe317f4b20b6be71f Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 31 Jan 2024 11:24:38 +0100 Subject: [PATCH 164/192] hazard.centroids.centr: pylint --- climada/hazard/centroids/centr.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 7c971c8faa..7e321d7846 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -112,10 +112,10 @@ def __init__( ) if isinstance(region_id, str): - LOGGER.info(f'Setting region id to {region_id} level.') + LOGGER.info('Setting region id to %s level.', region_id) self.set_region_id(level=region_id, overwrite=True) if isinstance(on_land, str): - LOGGER.info(f'Setting on land from {on_land} source.') + LOGGER.info('Setting on land from %s source.', on_land) self.set_on_land(source=on_land, overwrite=True) @property @@ -543,7 +543,6 @@ def set_region_id(self, level='country', overwrite=False): raise NotImplementedError( 'The region id can only be assigned for countries so far' ) - return None def set_on_land(self, source='natural_earth', overwrite=False): """Set on_land attribute for every pixel or point. @@ -684,9 +683,8 @@ def get_dist_coast(self, signed=False, precomputed=False): if precomputed: return u_coord.dist_to_coast_nasa( ne_geom.y.values, ne_geom.x.values, highres=True, signed=signed) - else: - LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) - return u_coord.dist_to_coast(ne_geom, signed=signed) + LOGGER.debug('Computing distance to coast for %s centroids.', str(self.size)) + return u_coord.dist_to_coast(ne_geom, signed=signed) def get_meta(self, resolution=None): """Returns a meta raster based on the centroids bounds. From bd1f9fd77c7bc12791bb1bacf2e5dd6d9080c2a6 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 31 Jan 2024 13:56:32 +0100 Subject: [PATCH 165/192] centroids.centr : fix pydoc typos and pylint --- climada/hazard/centroids/centr.py | 19 +++++++++---------- 1 file changed, 9 insertions(+), 10 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 7e321d7846..e3250d6938 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -422,8 +422,8 @@ def select(self, reg_id=None, extent=None, sel_cen=None): in the region_id property. Default: None extent : tuple, optional The geographical extent (min_lon, max_lon, min_lat, max_lat) to restrict to, including - the boundary. If the value for min_lon is greater than lon_max, the extent is - interpreted to cross the antimeridian ([lon_max, 180] and [-180, lon_min]). + the boundary. If the value for min_lon is greater than max_lon, the extent is + interpreted to cross the antimeridian ([max_lon, 180] and [-180, min_lon]). Default: None sel_cen : np.ndarray of int or bool, optional Boolean mask, or list of indices to restrict to. Default: None @@ -568,7 +568,6 @@ def set_on_land(self, source='natural_earth', overwrite=False): raise NotImplementedError( 'The on land variables can only be automatically assigned using natural earth.' ) - return None def get_pixel_shapes(self, res=None, **kwargs): """Create a GeoSeries of the quadratic pixel shapes at the centroid locations @@ -719,10 +718,9 @@ def get_meta(self, resolution=None): } return meta - - ''' - I/O methods - ''' + ## + # I/O methods + ## @classmethod def from_raster_file(cls, file_name, src_crs=None, window=None, geometry=None, @@ -945,9 +943,10 @@ def from_hdf5(cls, file_name): return cls.from_geodataframe(gdf) - ''' - Private methods - ''' + ## + # Private methods + ## + @classmethod def _from_dataframe(cls, df): if 'crs' in df.columns: From 31aba1cdb9e6c39972e481f404f46db8831c039c Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 31 Jan 2024 14:36:14 +0100 Subject: [PATCH 166/192] climada.hazard.base: pylint --- climada/hazard/base.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 87769f1a22..83d0b80677 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -225,7 +225,8 @@ def __init__(self, """ self.haz_type = haz_type self.units = units - self.centroids = centroids if centroids is not None else Centroids(lat=np.empty(0), lon=np.empty(0)) + self.centroids = centroids if centroids is not None else Centroids( + lat=np.empty(0), lon=np.empty(0)) # following values are defined for each event self.event_id = event_id if event_id is not None else np.array([], int) self.frequency = frequency if frequency is not None else np.array( @@ -1224,7 +1225,8 @@ def from_excel(cls, file_name, var_names=None, haz_type=None): if haz_type is not None: hazard_kwargs["haz_type"] = haz_type try: - centroids = Centroids._legacy_from_excel(file_name, var_names=var_names['col_centroids']) + centroids = Centroids._legacy_from_excel( + file_name, var_names=var_names['col_centroids']) hazard_kwargs.update(cls._read_att_excel(file_name, var_names, centroids)) except KeyError as var_err: raise KeyError("Variable not in Excel file: " + str(var_err)) from var_err @@ -1839,7 +1841,7 @@ def from_hdf5(cls, file_name): continue if var_name == 'centroids': continue - elif isinstance(var_val, np.ndarray) and var_val.ndim == 1: + if isinstance(var_val, np.ndarray) and var_val.ndim == 1: hazard_kwargs[var_name] = np.array(hf_data.get(var_name)) elif isinstance(var_val, sparse.csr_matrix): hf_csr = hf_data.get(var_name) From b84a76db6393a26187ecd4573ddc12c441973409 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 31 Jan 2024 14:38:38 +0100 Subject: [PATCH 167/192] hazard.centroids.centr: pylint --- climada/hazard/centroids/centr.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index e3250d6938..1c6a7e0c88 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -1015,13 +1015,11 @@ def _centroids_to_dataframe(self): ------- df : DataFrame """ - df = pd.DataFrame(self.gdf) df['lon'] = self.gdf['geometry'].x df['lat'] = self.gdf['geometry'].y + df['crs'] = CRS.from_user_input(self.crs).to_wkt() df = df.drop(['geometry'], axis=1) - crs = CRS.from_user_input(self.crs).to_wkt() - df['crs'] = crs return df def _ne_crs_geom(self): From b1b0efaa4828264ba574e671dd4999cda2bb9c11 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 31 Jan 2024 16:58:15 +0100 Subject: [PATCH 168/192] climada.test.test_calicbration: use hzard test file with hdf5 format --- climada/test/test_calibration.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/climada/test/test_calibration.py b/climada/test/test_calibration.py index 96c3353c6b..8caa0bc140 100644 --- a/climada/test/test_calibration.py +++ b/climada/test/test_calibration.py @@ -32,7 +32,7 @@ from climada.test import get_test_file -HAZ_TEST_MAT = get_test_file('atl_prob_no_name', file_format='matlab') +HAZ_TEST_TC = get_test_file('test_tc_florida', file_format='hdf5') DATA_FOLDER = CONFIG.test_data.dir() @@ -47,7 +47,7 @@ def test_calib_instance(self): ent.check() # Read default hazard file - hazard = Hazard.from_mat(HAZ_TEST_MAT) + hazard = Hazard.from_hdf5(HAZ_TEST_TC) # get impact function from set imp_func = ent.impact_funcs.get_func(hazard.haz_type, From 473bc9dad7b57a99c2b06459bd41e937c102f5c7 Mon Sep 17 00:00:00 2001 From: Thomas Vogt <57705593+tovogt@users.noreply.github.com> Date: Thu, 1 Feb 2024 15:12:18 +0100 Subject: [PATCH 169/192] Update climada/hazard/centroids/test/test_vec_ras.py Co-authored-by: Emanuel Schmid <51439563+emanuel-schmid@users.noreply.github.com> --- climada/hazard/centroids/test/test_vec_ras.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py index 4e2388b413..93182f57d6 100644 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ b/climada/hazard/centroids/test/test_vec_ras.py @@ -239,8 +239,8 @@ def test_dist_coast_pass(self): """Test set_region_id""" centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) dist_coast = centr_ras.get_dist_coast() - self.assertTrue(abs(dist_coast[0] - 117000) < 1000) - self.assertTrue(abs(dist_coast[-1] - 104000) < 1000) + self.assertLess(abs(dist_coast[0] - 117000), 1000) + self.assertLess(abs(dist_coast[-1] - 104000), 1000) def test_on_land(self): """Test set_on_land""" From 017864e80dced922307396f446e5860b4cdc1657 Mon Sep 17 00:00:00 2001 From: Thomas Vogt Date: Thu, 1 Feb 2024 16:25:08 +0100 Subject: [PATCH 170/192] Hazard: fix write_raster, and some docstrings --- climada/hazard/base.py | 2 +- climada/hazard/centroids/centr.py | 11 ++++------- climada/util/coordinates.py | 2 +- 3 files changed, 6 insertions(+), 9 deletions(-) diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 83d0b80677..708b789dfe 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -1739,7 +1739,7 @@ def write_raster(self, file_name, variable='intensity', output_resolution=None): meta.update(driver='GTiff', dtype=rasterio.float32, count=self.size) res = meta["transform"][0] # resolution from lon coordinates - if meta['height'] * meta['width'] == self.centroids.shape[0]: + if meta['height'] * meta['width'] == self.centroids.size: # centroids already in raster format u_coord.write_raster(file_name, var_to_write.toarray(), meta) else: diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1c6a7e0c88..1e03eb9a37 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -206,8 +206,7 @@ def to_default_crs(self, inplace=True): Returns ------- - Centroids - Centroids in the new crs + Centroids or None (if inplace is True) """ return self.to_crs(DEF_CRS, inplace=inplace) @@ -225,8 +224,7 @@ def to_crs(self, crs, inplace=False): Returns ------- - Centroids - Centroids in the new crs + Centroids or None (if inplace is True) """ if inplace: self.gdf.to_crs(crs, inplace=True) @@ -668,10 +666,9 @@ def get_dist_coast(self, signed=False, precomputed=False): Parameters ---------- signed : bool, optional - If True, use signed distances (positive off shore and negative on land). Default: False. + If True, use signed distances (positive off shore and negative on land). Default: False precomputed : bool, optional - If True, use precomputed distances (from NASA). Works only for crs=epsg:4326 - Default: False. + If True, use precomputed distances (from NASA). Default: False Returns ------- diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index 0d9e4fd9c4..c7de565fc2 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -980,7 +980,7 @@ def assign_coordinates(*args, **kwargs): return match_coordinates(*args, **kwargs) def match_coordinates(coords, coords_to_assign, distance="euclidean", - threshold=NEAREST_NEIGHBOR_THRESHOLD, **kwargs): + threshold=NEAREST_NEIGHBOR_THRESHOLD, **kwargs): """To each coordinate in `coords`, assign a matching coordinate in `coords_to_assign` If there is no exact match for some entry, an attempt is made to assign the geographically From 441fbb10a8cbe4b9548f285a2f07836c342f865d Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 7 Feb 2024 11:30:40 +0100 Subject: [PATCH 171/192] test.test_calibration: fix test file name --- climada/test/test_calibration.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/climada/test/test_calibration.py b/climada/test/test_calibration.py index 8caa0bc140..0986580d48 100644 --- a/climada/test/test_calibration.py +++ b/climada/test/test_calibration.py @@ -59,10 +59,10 @@ def test_calib_instance(self): # create input frame df_in = pd.DataFrame.from_dict({'v_threshold': [25.7], 'other_param': [2], - 'hazard': [HAZ_TEST_MAT]}) + 'hazard': [HAZ_TEST_TC]}) df_in_yearly = pd.DataFrame.from_dict({'v_threshold': [25.7], 'other_param': [2], - 'hazard': [HAZ_TEST_MAT]}) + 'hazard': [HAZ_TEST_TC]}) # Compute the impact over the whole exposures df_out = calib_instance(hazard, ent.exposures, imp_func, df_in) From db748c754c082cecf32035d74833d1edf799c283 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 7 Feb 2024 17:28:14 +0100 Subject: [PATCH 172/192] test_api_client: added test for basic centroids plotting (just because it fails in PR #787) --- climada/test/test_api_client.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/climada/test/test_api_client.py b/climada/test/test_api_client.py index 92421f3992..6c6c0e72e1 100644 --- a/climada/test/test_api_client.py +++ b/climada/test/test_api_client.py @@ -212,6 +212,10 @@ def test_get_litpop_fail(self): client.get_litpop(['AUT', 'CHE']) self.assertIn(" can only query single countries. Download the data for multiple countries individually and concatenate ", str(cm.exception)) + + def test_get_centroids_plot(self): + client = Client() + client.get_centroids(country='COM').plot() def test_get_dataset_file(self): client = Client() From 5863cb2804f18a7e51319bfa7023c154099f1b4c Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 8 Feb 2024 15:07:48 +0100 Subject: [PATCH 173/192] centr.Centroids.plot: all changes reverted (with the exception of the obsolete `self.set_meta_to_lat_lon()`) --- climada/hazard/centroids/centr.py | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 1e03eb9a37..57d97a6fea 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -478,20 +478,16 @@ def select_mask(self, sel_cen=None, reg_id=None, extent=None): return sel_cen #TODO replace with nice GeoDataFrame util plot method. - def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, **kwargs): + def plot(self, axis=None, figsize=(9, 13), **kwargs): """Plot centroids scatter points over earth Parameters ---------- - ax : matplotlib.axes._subplots.AxesSubplot, optional + axis : matplotlib.axes._subplots.AxesSubplot, optional axis to use figsize: (float, float), optional figure size for plt.subplots The default is (9, 13) - latlon_bounds_buffer : float, optional - Buffer to add to all sides of the bounding box. Default: 0.0. - shapes : bool, optional - overlay axis with coastlines. Default: True kwargs : optional arguments for scatter matplotlib function @@ -499,24 +495,26 @@ def plot(self, ax=None, figsize=(9, 13), latlon_bounds_buffer=0.0, shapes=True, ------- axis : matplotlib.axes._subplots.AxesSubplot """ + pad = np.abs(u_coord.get_resolution(self.lat, self.lon)).min() + proj_data, _ = u_plot.get_transformation(self.crs) proj_plot = proj_data if isinstance(proj_data, ccrs.PlateCarree): # use different projections for plot and data to shift the central lon in the plot - xmin, _ymin, xmax, _ymax = u_coord.latlon_bounds(self.lat, self.lon, - buffer=latlon_bounds_buffer) + xmin, ymin, xmax, ymax = u_coord.latlon_bounds(self.lat, self.lon, buffer=pad) proj_plot = ccrs.PlateCarree(central_longitude=0.5 * (xmin + xmax)) - - if ax is None: - ax = self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) else: - self.gdf.copy().to_crs(proj_plot).plot(figsize=figsize, **kwargs) + xmin, ymin, xmax, ymax = (self.lon.min() - pad, self.lat.min() - pad, + self.lon.max() + pad, self.lat.max() + pad) - if shapes: - u_plot.add_shapes(ax) + if not axis: + _fig, axis, _fontsize = u_plot.make_map(proj=proj_plot, figsize=figsize) + axis.set_extent((xmin, xmax, ymin, ymax), crs=proj_data) + u_plot.add_shapes(axis) + axis.scatter(self.lon, self.lat, transform=proj_data, **kwargs) plt.tight_layout() - return ax + return axis def set_region_id(self, level='country', overwrite=False): """Set region_id as country ISO numeric code attribute for every pixel or point. From 3dd4a502363ac360794ed1e8ab3c62d9e8f0c3d0 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 8 Feb 2024 15:12:05 +0100 Subject: [PATCH 174/192] Hazard tutorial: use centroids.get_meta() instead of the attribute meta --- doc/tutorial/climada_hazard_Hazard.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/tutorial/climada_hazard_Hazard.ipynb b/doc/tutorial/climada_hazard_Hazard.ipynb index 21cb19ac39..ba57a68d4a 100644 --- a/doc/tutorial/climada_hazard_Hazard.ipynb +++ b/doc/tutorial/climada_hazard_Hazard.ipynb @@ -195,7 +195,7 @@ "haz.check()\n", "print('\\n Solution 1:')\n", "print('centroids CRS:', haz.centroids.crs)\n", - "print('raster info:', haz.centroids.meta)\n", + "print('raster info:', haz.centroids.get_meta())\n", "\n", "# 2. Transformations of the coordinates can be set using the transform option and Affine\n", "from rasterio import Affine\n", @@ -205,7 +205,7 @@ " height=500, width=501)\n", "haz.check()\n", "print('\\n Solution 2:')\n", - "print('raster info:', haz.centroids.meta)\n", + "print('raster info:', haz.centroids.get_meta())\n", "print('intensity size:', haz.intensity.shape)\n", "\n", "# 3. A partial part of the raster can be loaded using the window or geometry\n", @@ -213,7 +213,7 @@ "haz = Hazard.from_raster([HAZ_DEMO_FL], haz_type='FL', window=Window(10, 10, 20, 30))\n", "haz.check()\n", "print('\\n Solution 3:')\n", - "print('raster info:', haz.centroids.meta)\n", + "print('raster info:', haz.centroids.get_meta())\n", "print('intensity size:', haz.intensity.shape)" ] }, From 065c868e1fe0ac801d6e2ba0fedbd3d6b9be702d Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 8 Feb 2024 15:19:00 +0100 Subject: [PATCH 175/192] Hazard tutorial: use Centroids() instead of from_lat_lon() --- doc/tutorial/climada_hazard_Hazard.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/doc/tutorial/climada_hazard_Hazard.ipynb b/doc/tutorial/climada_hazard_Hazard.ipynb index ba57a68d4a..d43d5b00c8 100644 --- a/doc/tutorial/climada_hazard_Hazard.ipynb +++ b/doc/tutorial/climada_hazard_Hazard.ipynb @@ -314,7 +314,7 @@ "haz = Hazard(haz_type='TC',\n", " intensity=intensity,\n", " fraction=fraction,\n", - " centroids=Centroids.from_lat_lon(lat, lon), # default crs used\n", + " centroids=Centroids(lat=lat, lon=lon), # default crs used\n", " units='m',\n", " event_id=np.arange(n_ev, dtype=int),\n", " event_name=['ev_12', 'ev_21', 'Maria', 'ev_35',\n", From f6f7db8f2e2d1fac0e606ef528fa0f8b8a185f0d Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 9 Feb 2024 12:45:33 +0100 Subject: [PATCH 176/192] hazard tutorial: update Hazard from raster section --- doc/tutorial/climada_hazard_Hazard.ipynb | 113 +++++++++++++++++------ 1 file changed, 84 insertions(+), 29 deletions(-) diff --git a/doc/tutorial/climada_hazard_Hazard.ipynb b/doc/tutorial/climada_hazard_Hazard.ipynb index d43d5b00c8..44c8e6159a 100644 --- a/doc/tutorial/climada_hazard_Hazard.ipynb +++ b/doc/tutorial/climada_hazard_Hazard.ipynb @@ -65,8 +65,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - " \n", - "## Part 1: Read hazards from raster data\n", + "\n", + "## Part 1: Read hazards from raster data\n", "\n", "Raster data can be read in any format accepted by [rasterio](https://rasterio.readthedocs.io/en/stable/) using `Hazard`'s `from_raster()` method. The raster information might refer to the `intensity` or `fraction`of the hazard. Different configuration options such as transforming the coordinates, changing the CRS and reading only a selected area or band are available through the `from_raster()` arguments as follows:" ] @@ -221,13 +221,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - " \n", - "## Part 2: Read hazards from other data\n", + "\n", + "## Part 2: Read hazards from other data\n", "\n", "- excel: Hazards can be read from Excel files following the template in `climada_python/climada/data/system/hazard_template.xlsx` using the `from_excel()` method. \n", "- MATLAB: Hazards generated with CLIMADA's MATLAB version (.mat format) can be read using `from_mat()`.\n", "- vector data: Use `Hazard`'s `from_vector`-constructor to read shape data (all formats supported by [fiona](https://fiona.readthedocs.io/en/latest/manual.html)).\n", - "- hdf5: Hazards generated with the CLIMADA in Python (.h5 format) can be read using `from_hdf5()`." + "- hdf5: Hazards generated with the CLIMADA in Python (.h5 format) can be read using `from_hdf5()`.\n" ] }, { @@ -255,8 +255,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - " \n", - "## Part 3: Define hazards manually\n", + "\n", + "## Part 3: Define hazards manually\n", + "\n", "A `Hazard` can be defined by filling its values one by one, as follows:" ] }, @@ -328,17 +329,86 @@ "haz.centroids.plot();" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Or the `Hazard` can be defined with a grid:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# using from_pnt_bounds\n", + "\n", + "# bounds\n", + "left, bottom, right, top = -72, -3.0, -52.0, 22 # the bounds refer to the bounds of the center of the pixel\n", + "# resolution\n", + "res = 0.5\n", + "centroids = Centroids.from_pnt_bounds((left, bottom, right, top), res) # default crs used" + ] + }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# the same can be done with the method `from_meta`, by definition of a raster meta object\n", + "\n", + "import rasterio\n", + "from climada.util.constants import DEF_CRS\n", + "\n", + "# raster info:\n", + "# border upper left corner (of the pixel, not of the center of the pixel)\n", + "max_lat = top + res/2\n", + "min_lon = left - res/2\n", + "# resolution in lat and lon\n", + "d_lat = -res # negative because starting in upper corner\n", + "d_lon = res # same step as d_lat\n", + "# number of points\n", + "n_lat, n_lon = centroids.shape\n", + "\n", + "# meta: raster specification\n", + "meta = {\n", + " 'dtype': 'float32',\n", + " 'width': n_lon,\n", + " 'height': n_lat,\n", + " 'crs': DEF_CRS,\n", + " 'transform': rasterio.Affine(\n", + " a=d_lon, b=0.0, c=min_lon,\n", + " d=0.0, e=d_lat, f=max_lat),\n", + "}\n", + "\n", + "centroids_from_meta = Centroids.from_meta(meta) # default crs used\n", + "\n", + "centroids_from_meta == centroids" + ] + }, + { + "cell_type": "code", + "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Check centroids borders: (-72.0, -3.0, -52.0, 22.0)\n", - "Check centroids borders: (-72.25, -3.25, -51.75, 22.25)\n" + "Check centroids borders: [-72. -3. -52. 22.]\n" ] }, { @@ -355,23 +425,13 @@ } ], "source": [ - "# setting raster\n", + "# create a Hazard object with random events\n", + "\n", "import numpy as np\n", "from scipy import sparse\n", "\n", - "# raster info:\n", - "# border upper left corner (of the pixel, not of the center of the pixel)\n", - "xf_lat = 22\n", - "xo_lon = -72\n", - "# resolution in lat and lon\n", - "d_lat = -0.5 # negative because starting in upper corner\n", - "d_lon = 0.5 # same step as d_lat\n", - "# number of points\n", - "n_lat = 50\n", - "n_lon = 40\n", - "\n", "n_ev = 10 # number of events\n", - "centroids = Centroids.from_pix_bounds(xf_lat, xo_lon, d_lat, d_lon, n_lat, n_lon) # default crs used\n", + "\n", "intensity = sparse.csr_matrix(np.random.random((n_ev, centroids.size)))\n", "fraction = intensity.copy()\n", "fraction.data.fill(1)\n", @@ -391,12 +451,7 @@ "\n", "haz.check()\n", "print('Check centroids borders:', haz.centroids.total_bounds)\n", - "haz.centroids.plot()\n", - "\n", - "# using from_pnt_bounds, the bounds refer to the bounds of the center of the pixel\n", - "left, bottom, right, top = xo_lon, -3.0, -52.0, xf_lat\n", - "haz.centroids = Centroids.from_pnt_bounds((left, bottom, right, top), 0.5) # default crs used\n", - "print('Check centroids borders:', haz.centroids.total_bounds)" + "haz.centroids.plot();" ] }, { From ead5e056f35370820a3bed3af18151e1422ef68f Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 9 Feb 2024 12:56:33 +0100 Subject: [PATCH 177/192] hazard tutorial: fix dist_coast access --- doc/tutorial/climada_hazard_Hazard.ipynb | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/doc/tutorial/climada_hazard_Hazard.ipynb b/doc/tutorial/climada_hazard_Hazard.ipynb index 44c8e6159a..6785a80b7e 100644 --- a/doc/tutorial/climada_hazard_Hazard.ipynb +++ b/doc/tutorial/climada_hazard_Hazard.ipynb @@ -551,8 +551,7 @@ "print('Year with most hurricanes between 1995 and 2001:', max_year)\n", "\n", "# 4. What is the number of centroids with distance to coast smaller than 1km?\n", - "hist_tc.centroids.set_dist_coast()\n", - "num_cen_coast = np.argwhere(hist_tc.centroids.dist_coast < 1000).size\n", + "num_cen_coast = np.argwhere(hist_tc.centroids.get_dist_coast() < 1000).size\n", "print('Number of centroids close to coast: ', num_cen_coast)" ] }, @@ -774,7 +773,7 @@ "# 7. one figure with two plots: maximum intensities and selected centroid with all intensities:\n", "from climada.util.plot import make_map\n", "import matplotlib.pyplot as plt\n", - "plt.ioff()\n", + "\n", "fig, ax1, fontsize = make_map(1) # map\n", "ax2 = fig.add_subplot(2, 1, 2) # add regular axes\n", "haz_tc_fl.plot_intensity(axis=ax1, event=0) # plot original resolution\n", From 693af7789128ecd4f0b57fbfb6fc30bfe1426ab6 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 9 Feb 2024 15:11:28 +0100 Subject: [PATCH 178/192] climada.hazard.Hazard: remove broken vector file support --- CHANGELOG.md | 3 +- climada/hazard/base.py | 121 ----------------------------------------- 2 files changed, 2 insertions(+), 122 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index fb680f5e6b..5dfd9c6110 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -53,7 +53,8 @@ Removed: ### Deprecated ### Removed -- Read/write matlab file methods for Centroids and Hazard objects. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) + +- Read/write matlab file and vector file methods for Centroids and Hazard objects. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) ## 4.0.1 diff --git a/climada/hazard/base.py b/climada/hazard/base.py index 708b789dfe..82c2a4ce18 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -391,12 +391,6 @@ def set_raster(self, *args, **kwargs): "Use Hazard.from_raster instead.") self.__dict__ = Hazard.from_raster(*args, **kwargs).__dict__ - def set_vector(self, *args, **kwargs): - """This function is deprecated, use Hazard.from_vector.""" - LOGGER.warning("The use of Hazard.set_vector is deprecated." - "Use Hazard.from_vector instead.") - self.__dict__ = Hazard.from_vector(*args, **kwargs).__dict__ - @classmethod def from_xarray_raster_file( cls, filepath: Union[pathlib.Path, str], *args, **kwargs @@ -1011,72 +1005,6 @@ def vshape(array): LOGGER.debug("Hazard successfully loaded. Number of events: %i", num_events) return cls(centroids=centroids, intensity=intensity_matrix, **hazard_kwargs) - @classmethod - def from_vector(cls, files_intensity, files_fraction=None, attrs=None, - inten_name=None, frac_name=None, dst_crs=None, haz_type=None): - """Read vector files format supported by fiona. Each intensity name is - considered an event. - - Parameters - ---------- - files_intensity : list(str) - file names containing intensity, default: ['intensity'] - files_fraction : (list(str)) - file names containing fraction, - default: ['fraction'] - attrs : dict, optional - name of Hazard attributes and their values - inten_name : list(str), optional - name of variables containing the intensities of each event - frac_name : list(str), optional - name of variables containing - the fractions of each event - dst_crs : crs, optional - reproject to given crs - haz_type : str, optional - acronym of the hazard type (e.g. 'TC'). - default: None, which will use the class default ('' for vanilla - `Hazard` objects, hard coded in some subclasses) - - Returns - ------- - haz : climada.hazard.Hazard - Hazard from vector file - """ - if not attrs: - attrs = {} - if not inten_name: - inten_name = ['intensity'] - if not frac_name: - inten_name = ['fraction'] - if files_fraction is not None and len(files_intensity) != len(files_fraction): - raise ValueError('Number of intensity files differs from fraction files:' - f' {len(files_intensity)} != {len(files_fraction)}') - - hazard_kwargs = {} - if haz_type is not None: - hazard_kwargs["haz_type"] = haz_type - - if len(files_intensity) > 0: - centroids = Centroids.from_vector_file(files_intensity[0], dst_crs=dst_crs) - elif files_fraction is not None and len(files_fraction) > 0: - centroids = Centroids.from_vector_file(files_fraction[0], dst_crs=dst_crs) - else: - centroids = Centroids() - - intensity = centroids.values_from_vector_files( - files_intensity, val_names=inten_name, dst_crs=dst_crs) - if files_fraction is None: - fraction = intensity.copy() - fraction.data.fill(1) - else: - fraction = centroids.values_from_vector_files( - files_fraction, val_names=frac_name, dst_crs=dst_crs) - - hazard_kwargs.update(cls._attrs_to_kwargs(attrs, num_events=intensity.shape[0])) - return cls( - centroids=centroids, intensity=intensity, fraction=fraction, **hazard_kwargs) - @staticmethod def _attrs_to_kwargs(attrs: Dict[str, Any], num_events: int) -> Dict[str, Any]: """Transform attributes to init kwargs or use default values @@ -1138,55 +1066,6 @@ def reproject_vector(self, dst_crs): self.centroids.gdf.to_crs(dst_crs, inplace=True) self.check() - - def read_mat(self, *args, **kwargs): - """This function is deprecated, use Hazard.from_mat.""" - LOGGER.warning("The use of Hazard.read_mat is deprecated." - "Use Hazard.from_mat instead.") - self.__dict__ = Hazard.from_mat(*args, **kwargs).__dict__ - - @classmethod - def from_mat(cls, file_name, var_names=None): - """Read climada hazard generate with the MATLAB code in .mat format. - - Parameters - ---------- - file_name : str - absolute file name - var_names : dict, optional - name of the variables in the file, - default: DEF_VAR_MAT constant - - Returns - ------- - haz : climada.hazard.Hazard - Hazard object from the provided MATLAB file - - Raises - ------ - KeyError - """ - # pylint: disable=protected-access - if not var_names: - var_names = DEF_VAR_MAT - LOGGER.info('Reading %s', file_name) - try: - data = u_hdf5.read(file_name) - try: - data = data[var_names['field_name']] - except KeyError: - pass - - centroids = Centroids.from_mat(file_name, var_names=var_names['var_cent']) - attrs = cls._read_att_mat(data, file_name, var_names, centroids) - haz = cls(haz_type=u_hdf5.get_string(data[var_names['var_name']['per_id']]), - centroids=centroids, - **attrs - ) - except KeyError as var_err: - raise KeyError("Variable not in MAT file: " + str(var_err)) from var_err - return haz - def read_excel(self, *args, **kwargs): """This function is deprecated, use Hazard.from_excel.""" LOGGER.warning("The use of Hazard.read_excel is deprecated." From bc75e0f77697bdcc1d227c7ee856d3393fa30fb8 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 15 Feb 2024 17:30:58 +0100 Subject: [PATCH 179/192] climada.hazard.centr: add deprecated methods section --- climada/hazard/centroids/centr.py | 52 +++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 57d97a6fea..824829b04a 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -20,6 +20,7 @@ """ import copy +from deprecation import deprecated import logging from pathlib import Path from typing import Any, Literal, Union @@ -1028,6 +1029,57 @@ def _ne_crs_geom(self): return self.gdf.geometry return self.to_crs(u_coord.NE_CRS, inplace=False).geometry + ## + # Deprecated methods + ## + + @classmethod + @deprecated(details="Reading Centroids data from matlab files is not supported anymore." + " You are suggested to use an old version of climada (<=4.*) and convert the file to hdf5 format.") + def from_mat(cls, file_name, var_names=None): + pass + + @staticmethod + @deprecated(details="Centroids as raster data is not supported in the current version of climada." + " You are suggested to downgrade to an older version (<=4.*) or turn the grid into a ``GeoDataFrame``") + def from_base_grid(land=False, res_as=360, base_file=None): + pass + + @classmethod + @deprecated(details="This method will be removed in a future version." + " Simply use the constructor instead.") + def from_lat_lon(cls, lat, lon, crs="EPSG:4326"): + return cls(lat=lat, lon=lon, crs=crs) + + @deprecated(details="This method is futile and will be removed in a future version." + " `Centroids.get_area_pixel` can be run without initialization.") + def set_area_pixel(self, min_resol=1e-08, scheduler=None): + pass + + @deprecated(details="This method is futile and will be removed in a future version." + " `Centroids.get_area_pixel` can be run without initialization.") + def set_area_approx(self, min_resol=1e-08): + pass + + @deprecated(details="This method is futile and will be removed in a future version." + " `Centroids.get_dist_coast` can be run without initialization.") + def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): + pass + + @deprecated(details="This method has no effect and will be removed in a future version." + " In the current version of climada the geometry points of a `Centroids` object" + " cannot be removed as they are the backbone of the Centroids' GeoDataFrame.") + def empty_geometry_points(self): + pass + + @deprecated(details="This method has no effect and will be removed in a future version.") + def set_meta_to_lat_lon(self): + pass + + @deprecated(details="This method has no effect and will be removed in a future version.") + def set_lat_lon_to_meta(self, min_resol=1e-08): + pass + def _meta_to_lat_lon(meta): """Compute lat and lon of every pixel center from meta raster. From e59eb188004d9e3d289e8578aca546c2035114ac Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 15 Feb 2024 18:34:43 +0100 Subject: [PATCH 180/192] fix from_tracks method, remove side effect --- climada/hazard/trop_cyclone.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index 467ea77302..2bc2172945 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -268,10 +268,8 @@ def from_tracks( [idx_centr_filter] = (np.abs(centroids.lat) <= max_latitude).nonzero() else: # Select centroids which are inside max_dist_inland_km and lat <= max_latitude - if 'dist_coast' not in centroids.gdf.columns: - centroids.gdf['dist_coast'] = centroids.get_dist_coast() [idx_centr_filter] = ( - (centroids.dist_coast <= max_dist_inland_km * 1000) + (centroids.get_dist_coast() <= max_dist_inland_km * 1000) & (np.abs(centroids.lat) <= max_latitude) ).nonzero() From 0ad0804c7a6862a8cbddc24c945c81a1ec799bca Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 15 Feb 2024 18:41:45 +0100 Subject: [PATCH 181/192] climada.hazard.trop_cyclone.TropCytlone.from_tracks: option for predefined dist_coast in centroids --- climada/hazard/trop_cyclone.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index 2bc2172945..a6730e5525 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -268,8 +268,12 @@ def from_tracks( [idx_centr_filter] = (np.abs(centroids.lat) <= max_latitude).nonzero() else: # Select centroids which are inside max_dist_inland_km and lat <= max_latitude + if 'dist_coast' not in centroids.gdf.columns: + dist_coast = centroids.get_dist_coast() + else: + dist_coast = centroids.gdf.dist_coast [idx_centr_filter] = ( - (centroids.get_dist_coast() <= max_dist_inland_km * 1000) + (dist_coast <= max_dist_inland_km * 1000) & (np.abs(centroids.lat) <= max_latitude) ).nonzero() From 88b320a6258759d5caa341b20a3b3a3d1a64cea0 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 15 Feb 2024 20:00:31 +0100 Subject: [PATCH 182/192] TropicalCyclone.from_tracks pydoc --- climada/hazard/trop_cyclone.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index a6730e5525..bbb2384456 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -223,7 +223,11 @@ def from_tracks( "ER11" (Emanuel and Rotunno 2011). Default: "H08". ignore_distance_to_coast : boolean, optional - If True, centroids far from coast are not ignored. Default: False. + If True, centroids far from coast are not ignored. + If False, the centroids' distances to the coast are calculated with the + `Centroids.get_dist_coast()` method (unless there is "dist_coast" column in the + centroids' GeoDataFrame) and centroids far from coast are ignored. + Default: False. store_windfields : boolean, optional If True, the Hazard object gets a list ``windfields`` of sparse matrices. For each track, the full velocity vectors at each centroid and track position are stored in a sparse From b543636020d151621e840dd89724a6b0f5d12f0a Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 16 Feb 2024 10:52:30 +0100 Subject: [PATCH 183/192] white space cosmetics --- climada/hazard/trop_cyclone.py | 25 +++++++++++++------------ 1 file changed, 13 insertions(+), 12 deletions(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index bbb2384456..02637d4c5f 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -229,10 +229,10 @@ def from_tracks( centroids' GeoDataFrame) and centroids far from coast are ignored. Default: False. store_windfields : boolean, optional - If True, the Hazard object gets a list ``windfields`` of sparse matrices. For each track, - the full velocity vectors at each centroid and track position are stored in a sparse - matrix of shape (npositions, ncentroids * 2) that can be reshaped to a full ndarray - of shape (npositions, ncentroids, 2). Default: False. + If True, the Hazard object gets a list ``windfields`` of sparse matrices. For each + track, the full velocity vectors at each centroid and track position are stored in a + sparse matrix of shape (npositions, ncentroids * 2) that can be reshaped to a full + ndarray of shape (npositions, ncentroids, 2). Default: False. metric : str, optional Specify an approximation method to use for earth distances: @@ -540,7 +540,8 @@ def from_single_track( If True, store windfields. Default: False. metric : str, optional Specify an approximation method to use for earth distances: "equirect" (faster) or - "geosphere" (more accurate). See ``dist_approx`` function in ``climada.util.coordinates``. + "geosphere" (more accurate). See ``dist_approx`` function in + ``climada.util.coordinates``. Default: "equirect". intensity_thres : float, optional Wind speeds (in m/s) below this threshold are stored as 0. Default: 17.5 @@ -1431,9 +1432,9 @@ def _x_holland_2010( mask_centr_close : np.ndarray of shape (nnodes, ncentroids) Mask indicating for each track node which centroids are within reach of the windfield. v_n : np.ndarray of shape (nnodes,) or float, optional - Peripheral wind speeds (in m/s) at radius ``r_n`` outside of radius of maximum winds ``r_max``. - In absence of a second wind speed measurement, this value defaults to 17 m/s following - Holland et al. 2010 (at a radius of 300 km). + Peripheral wind speeds (in m/s) at radius ``r_n`` outside of radius of maximum winds + ``r_max``. In absence of a second wind speed measurement, this value defaults to 17 m/s + following Holland et al. 2010 (at a radius of 300 km). r_n_km : np.ndarray of shape (nnodes,) or float, optional Radius (in km) where the peripheral wind speed ``v_n`` is measured (or assumed). In absence of a second wind speed measurement, this value defaults to 300 km following @@ -1557,8 +1558,8 @@ def _stat_holland_1980( Parameters ---------- si_track : xr.Dataset - Output of ``tctrack_to_si`` with "hol_b" (see, e.g., _B_holland_1980) data variable. The data - variables used by this function are "lat", "cp", "rad", "cen", "env", and "hol_b". + Output of ``tctrack_to_si`` with "hol_b" (see, e.g., _B_holland_1980) data variable. The + data variables used by this function are "lat", "cp", "rad", "cen", "env", and "hol_b". d_centr : np.ndarray of shape (nnodes, ncentroids) Distance (in m) between centroids and track nodes. mask_centr_close : np.ndarray of shape (nnodes, ncentroids) @@ -1622,8 +1623,8 @@ def _stat_er_2011( Parameters ---------- si_track : xr.Dataset - Output of ``tctrack_to_si``. The data variables used by this function are "lat", "cp", "rad", - and "vmax". + Output of ``tctrack_to_si``. The data variables used by this function are "lat", "cp", + "rad", and "vmax". d_centr : np.ndarray of shape (nnodes, ncentroids) Distance (in m) between centroids and track nodes. mask_centr_close : np.ndarray of shape (nnodes, ncentroids) From 5f3904b542407e903e30f8662ab0e8d21c25c5cb Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 16 Feb 2024 13:16:15 +0100 Subject: [PATCH 184/192] CHANGELOG: list deprecated and removed methods --- CHANGELOG.md | 35 +++++++++++++++++++++++++++++++++-- 1 file changed, 33 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index d5807251d2..b9a766af54 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -14,7 +14,7 @@ Code freeze date: YYYY-MM-DD ### Changed -- Centroids complete overhaul. Most function should be backward compatible. Internal data is stored in a geodataframe attribute. Raster are now stored as points, and the meta attribute is removed. The methods to read matlab files were removed. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) +- Centroids complete overhaul. Most function should be backward compatible. Internal data is stored in a geodataframe attribute. Raster are now stored as points, and the meta attribute is removed. Several methds were deprecated or removed. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) ### Fixed @@ -23,9 +23,40 @@ Code freeze date: YYYY-MM-DD ### Deprecated +- climada.hazard.centroids.centr.Centroids.from_mat +- climada.hazard.centroids.centr.Centroids.from_base_grid +- climada.hazard.centroids.centr.Centroids.from_lat_lon +- climada.hazard.centroids.centr.Centroids.def set_area_pixel +- climada.hazard.centroids.centr.Centroids.def set_area_approx +- climada.hazard.centroids.centr.Centroids.set_dist_coast +- climada.hazard.centroids.centr.Centroids.empty_geometry_points +- climada.hazard.centroids.centr.Centroids.set_meta_to_lat_lon +- climada.hazard.centroids.centr.Centroids.set_lat_lon_to_meta + ### Removed -- Read/write matlab file and vector file methods for Centroids and Hazard objects. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) +- climada.hazard.base.Hazard.clear +- climada.hazard.base.Hazard.raster_to_vector +- climada.hazard.base.Hazard.read_mat +- climada.hazard.base.Hazard.reproject_raster +- climada.hazard.base.Hazard.set_vector +- climada.hazard.base.Hazard.vector_to_raster +- climada.hazard.centroids.centr.Centroids.calc_pixels_polygons +- climada.hazard.centroids.centr.Centroids.check +- climada.hazard.centroids.centr.Centroids.clear +- climada.hazard.centroids.centr.Centroids.equal +- climada.hazard.centroids.centr.Centroids.read_excel +- climada.hazard.centroids.centr.Centroids.read_hdf5 +- climada.hazard.centroids.centr.Centroids.read_mat +- climada.hazard.centroids.centr.Centroids.set_elevation +- climada.hazard.centroids.centr.Centroids.set_geometry_points +- climada.hazard.centroids.centr.Centroids.set_lat_lon +- climada.hazard.centroids.centr.Centroids.set_raster_file +- climada.hazard.centroids.centr.Centroids.set_raster_from_pnt_bounds +- climada.hazard.centroids.centr.Centroids.set_vector_file +- climada.hazard.centroids.centr.Centroids.values_from_raster_files +- climada.hazard.centroids.centr.Centroids.values_from_vector_files +- climada.hazard.centroids.centr.generate_nat_earth_centroids ## 4.1.0 From 7b009e9451d15456ddf568a47765a2f5d362c107 Mon Sep 17 00:00:00 2001 From: Igor Detring Date: Tue, 20 Feb 2024 08:58:58 +0100 Subject: [PATCH 185/192] Refactor and add to centroids testing --- climada/hazard/centroids/test/test_centr.py | 677 ++++++++++++++++-- climada/hazard/centroids/test/test_vec_ras.py | 460 ------------ 2 files changed, 621 insertions(+), 516 deletions(-) delete mode 100644 climada/hazard/centroids/test/test_vec_ras.py diff --git a/climada/hazard/centroids/test/test_centr.py b/climada/hazard/centroids/test/test_centr.py index 578cb5040d..cb0f47aedd 100644 --- a/climada/hazard/centroids/test/test_centr.py +++ b/climada/hazard/centroids/test/test_centr.py @@ -19,83 +19,356 @@ Test CentroidsVector and CentroidsRaster classes. """ import unittest +from unittest.mock import patch from pathlib import Path import numpy as np import pandas as pd import geopandas as gpd import shapely -import csv +import itertools +import rasterio from pyproj.crs.crs import CRS +from rasterio.windows import Window +from shapely.geometry.point import Point +from cartopy.io import shapereader + +from climada import CONFIG from climada.hazard.centroids.centr import Centroids -from climada.util.constants import DEF_CRS +from climada.util.constants import DEF_CRS, HAZ_DEMO_FL import climada.util.coordinates as u_coord from climada.entity import Exposures from rasterio import Affine +DATA_DIR = CONFIG.hazard.test_data.dir() + +# Note: the coordinates are not directly on the cities, the region id and on land +# otherwise do not work correctly. It is only a close point. +LATLON = np.array([ + [-21.1736, -175.1883], # Tonga, Nuku'alofa, TON, 776 + [-18.133, 178.433], # Fidji, Suva, FJI, 242 IN WATER IN NATURAL EARTH + [-38.4689, 177.8642], # New-Zealand, Te Karaka, NZL, 554 + [69.6833, 18.95], # Norway, Tromso, NOR, 578 IN WATER IN NATURAL EARTH + [78.84422, 20.82842], # Norway, Svalbard, NOR, 578 + [1, 1], # Ocean, 0 (0,0 is onland in Natural earth for testing reasons) + [-77.85, 166.6778], # Antarctica, McMurdo station, ATA, 010 + [-0.25, -78.5833] # Ecuador, Quito, ECU, 218 +]) + +VEC_LAT = LATLON[:,0] +VEC_LON = LATLON[:,1] + +ON_LAND = np.array([True, False, True, False, True, False, True, True]) +REGION_ID = np.array([776, 0, 554, 0, 578, 0, 10, 218]) + +TEST_CRS = 'EPSG:4326' +ALT_CRS = 'epsg:32632' # UTM zone 32N (Central Europe, 6-12°E) + class TestCentroidsData(unittest.TestCase): + """ Test class for initialisation and value based creation of Centroids objects""" + def setUp(self): + self.lat = np.array([-10, 0, 10]) + self.lon = np.array([-170, -150, -130]) + self.region_id = np.array([1, 2, 3]) + self.on_land = np.array([True, False, False]) + self.crs = 'epsg:32632' + self.centr = Centroids(lat=VEC_LAT,lon=VEC_LON) + + def test_centroids_check_pass(self): + """Test vector data in Centroids""" + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) + + self.assertTrue(u_coord.equal_crs(centr.crs, CRS.from_user_input(ALT_CRS))) + self.assertEqual( + list(centr.total_bounds), + [VEC_LON.min(), VEC_LAT.min(), VEC_LON.max(), VEC_LAT.max()], + ) - def test_init(self): - # Creating Centroids with latitude and longitude arrays - lat = np.array([10.0, 20.0, 30.0]) - lon = np.array([-10.0, -20.0, -30.0]) - centroids = Centroids(lat=lat, lon=lon) + self.assertIsInstance(centr,Centroids) + self.assertIsInstance(centr.lat, np.ndarray) + self.assertIsInstance(centr.lon, np.ndarray) + self.assertIsInstance(centr.coord, np.ndarray) + self.assertTrue(np.array_equal(centr.lat, VEC_LAT)) + self.assertTrue(np.array_equal(centr.lon, VEC_LON)) + self.assertTrue(np.array_equal(centr.coord, np.array([VEC_LAT, VEC_LON]).transpose())) + self.assertEqual(centr.size, VEC_LON.size) + def test_init_pass(self): + # Creating Centroids with latitude and longitude arrays + # check instance - trivial... # Checking attributes - np.testing.assert_array_equal(centroids.lat, lat) - np.testing.assert_array_equal(centroids.lon, lon) - self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) + np.testing.assert_array_equal(self.centr.lat, VEC_LAT) + np.testing.assert_array_equal(self.centr.lon, VEC_LON) + self.assertTrue(u_coord.equal_crs(self.centr.crs, DEF_CRS)) - # Creating Centroids with additional properties - region_id = np.array([1, 2, 3]) - on_land = np.array([True, False, False]) - centroids = Centroids(lat=lat, lon=lon, region_id=region_id, on_land=on_land) + # Creating Centroids with additional attributes + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, + region_id=REGION_ID, on_land=ON_LAND) # Checking additional attributes - np.testing.assert_array_equal(centroids.region_id, region_id) - np.testing.assert_array_equal(centroids.on_land, on_land) + np.testing.assert_array_equal(centroids.region_id, REGION_ID) + np.testing.assert_array_equal(centroids.on_land, ON_LAND) + + def test_init_defaults(self): + ''' Checking default values for Centroids''' + centroids = Centroids(lat=VEC_LAT,lon=VEC_LON) + # Checking defaults: nothing set for region_id, on_land + self.assertFalse(centroids.region_id) + self.assertFalse(centroids.on_land) + # Guarantee a no-default TypeError for lon/lat + with self.assertRaises(TypeError): Centroids() + + def test_init_properties(self): + """ Guarantee that Centroid objects have at least the properties: """ + properties = ['gdf','lon','lat','geometry', + 'on_land','region_id','crs', + 'shape','size','total_bounds','coord'] + centroids = Centroids(lat=[],lon=[]) + [self.assertTrue(hasattr(centroids,prop)) for prop in properties] + + def test_init_kwargs(self): + """ Test default crs and kwargs forwarding """ + centr = Centroids( + lat=VEC_LAT, + lon=VEC_LON, + region_id=REGION_ID, + on_land=ON_LAND, + ) + self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) + self.assertTrue(np.allclose(centr.region_id, REGION_ID)) + self.assertTrue(np.allclose(centr.on_land, ON_LAND)) + + # make sure kwargs are properly forwarded to centroids.gdf + np.random.seed(1000) + randommask = np.random.choice([True,False],size=len(VEC_LON)) + centroids = Centroids(lat=VEC_LAT,lon=VEC_LON,masked=randommask,ones=1) + self.assertTrue(hasattr(centroids.gdf,'masked')) + self.assertTrue(hasattr(centroids.gdf,'ones')) + np.testing.assert_array_equal(randommask,centroids.gdf.masked) + self.assertEqual(sum(centroids.gdf.ones),len(VEC_LON)) + + def test_from_meta_pass(self): + expected_lon = np.array([-30.0, -20.0, -10.0]*3) + expected_lat = np.repeat([30.0, 20.0, 10.0],3) + # Check metadata + meta = dict( + crs=DEF_CRS, + height=3, + width=3, + transform=Affine( + 10, 0, -35, + 0, -10, 35, + ), + ) + centroids = Centroids.from_meta(meta) + + # check created object + np.testing.assert_array_equal(centroids.lon,expected_lon) + np.testing.assert_array_equal(centroids.lat,expected_lat) + self.assertEqual(centroids.crs,DEF_CRS) + # generally we assume that from_meta does not set region_ids and on_land flags + self.assertFalse(centroids.region_id) + self.assertFalse(centroids.on_land) + + def test_from_meta(self): + """Test from_meta""" + meta_ref = { + 'width': 10, + 'height': 8, + 'transform': rasterio.Affine( + 0.6, 0, -0.1, + 0, -0.6, 0.3, + ), + 'crs': DEF_CRS, + } + + lon_ref = np.array([0.2, 0.8, 1.4, 2.0, 2.6, 3.2, 3.8, 4.4, 5.0, 5.6]) + lat_ref = np.array([0.0, -0.6, -1.2, -1.8, -2.4, -3.0, -3.6, -4.2]) + lon_ref, lat_ref = [ar.ravel() for ar in np.meshgrid(lon_ref, lat_ref)] + + centr = Centroids.from_meta(meta_ref) + meta = centr.get_meta() + self.assertTrue(u_coord.equal_crs(meta_ref["crs"], meta["crs"])) + self.assertEqual(meta_ref["width"], meta["width"]) + self.assertEqual(meta_ref["height"], meta["height"]) + np.testing.assert_allclose(meta_ref["transform"], meta["transform"]) + + centr = Centroids.from_meta( + Centroids(lat=lat_ref, lon=lon_ref).get_meta() + ) + np.testing.assert_allclose(lat_ref, centr.lat) + np.testing.assert_allclose(lon_ref, centr.lon) + + # `get_meta` enforces same resolution in x and y, and y-coordinates are decreasing. + # For other cases, `from_meta` needs to be checked manually. + meta_ref = { + 'width': 4, + 'height': 5, + 'transform': rasterio.Affine( + 0.5, 0, 0.2, + 0, 0.6, -0.7, + ), + 'crs': DEF_CRS, + } + lon_ref = np.array([0.45, 0.95, 1.45, 1.95]) + lat_ref = np.array([-0.4, 0.2, 0.8, 1.4, 2.0]) + lon_ref, lat_ref = [ar.ravel() for ar in np.meshgrid(lon_ref, lat_ref)] + + centr = Centroids.from_meta(meta_ref) + np.testing.assert_allclose(lat_ref, centr.lat) + np.testing.assert_allclose(lon_ref, centr.lon) + + + def test_from_pnt_bounds(self): + """Test from_pnt_bounds""" + width, height = 26, 51 + left, bottom, right, top = 5, 0, 10, 10 + + centr = Centroids.from_pnt_bounds((left, bottom, right, top), 0.2, crs=DEF_CRS) + self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) + self.assertEqual(centr.size, width * height) + np.testing.assert_allclose([5.0, 5.2, 5.0], centr.lon[[0, 1, width]], atol=0.1) + np.testing.assert_allclose([10.0, 10.0, 9.8], centr.lat[[0, 1, width]], atol=0.1) + # generally we assume that from_meta does not set region_ids and on_land flags + self.assertFalse(centr.region_id) + self.assertFalse(centr.on_land) + +class TestCentroidsTransformation(unittest.TestCase): + """ Test class for coordinate transformations of Centroid objects + and modifications using set_ methods""" + def setUp(self): + self.lat = np.array([-10, 0, 10]) + self.lon = np.array([-170, -150, -130]) + self.region_id = np.array([1, 2, 3]) + self.on_land = np.array([True, False, False]) + self.crs = 'epsg:32632' + self.centr = Centroids(lat=VEC_LAT,lon=VEC_LON,crs=TEST_CRS) def test_to_default_crs(self): - # Creating Centroids with non-default CRS - crs = 'epsg:32632' - lat = np.array([-10, 0, 10]) - lon = np.array([-170, -150, -130]) - centroids = Centroids(lat=lat, lon=lon, crs=crs) - - self.assertTrue(u_coord.equal_crs(centroids.crs, 'epsg:32632')) - - # Transforming to default CRS + # Creating Centroids with non-default CRS and + # inplace transformation afterwards + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) + self.assertTrue(u_coord.equal_crs(centroids.crs, ALT_CRS)) centroids.to_default_crs() - - # Checking CRS after transformation + # make sure CRS is DEF_CRS after transformation self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) + # Checking that modification actually took place + [self.assertNotEqual(x-y,0) for x,y in zip(centroids.lon,VEC_LON)] + [self.assertNotEqual(x-y,0) for x,y in zip(centroids.lat,VEC_LAT) if not x == 0] + + def test_to_default_crs_not_inplace(self): + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) + newcentr = centroids.to_default_crs(inplace=False) + # make sure that new object has been created + self.assertIsNot(centroids,newcentr) + self.assertIsInstance(newcentr,Centroids) + ## compare with inplace transformation + centroids.to_default_crs() + np.testing.assert_array_equal(centroids.lat,newcentr.lat) + np.testing.assert_array_equal(centroids.lon,newcentr.lon) def test_to_crs(self): # Creating Centroids with default CRS - crs = DEF_CRS - lat = np.array([-10, 0, 10]) - lon = np.array([-170, -150, -130]) - centroids = Centroids(lat=lat, lon=lon, crs=crs) + centroids = Centroids(lat=self.lat, lon=self.lon, crs=DEF_CRS) # Transforming to another CRS new_crs = 'epsg:3857' transformed_centroids = centroids.to_crs(new_crs) - # Checking CRS after transformation + self.assertIsNot(centroids,transformed_centroids) + self.assertFalse(centroids == transformed_centroids) + + # Checking CRS string after transformation self.assertTrue(u_coord.equal_crs(transformed_centroids.crs, new_crs)) - self.assertTrue(u_coord.equal_crs(centroids.crs, crs)) + self.assertTrue(u_coord.equal_crs(centroids.crs, DEF_CRS)) - # Checking coordinates after transformation + # Checking correctness of transformation expected_lat = np.array([-1118889.974858, 0., 1118889.9748585]) expected_lon = np.array([-18924313.434857, -16697923.618991, -14471533.803126]) np.testing.assert_array_almost_equal(transformed_centroids.lat, expected_lat) np.testing.assert_array_almost_equal(transformed_centroids.lon, expected_lon) + def test_to_crs_inplace(self): + centroids = Centroids(lat=self.lat,lon=self.lon,crs=DEF_CRS) + new_crs = 'epsg:3857' + transformed_centroids = centroids.to_crs(new_crs) + + # inplace transforming to another CRS + centroids.to_crs(new_crs,inplace=True) -class TestCentroidsReader(unittest.TestCase): - """Test read functions Centroids""" + self.assertTrue(centroids == transformed_centroids) + + expected_lat = np.array([-1118889.974858, 0., 1118889.9748585]) + expected_lon = np.array([-18924313.434857, -16697923.618991, -14471533.803126]) + np.testing.assert_array_almost_equal(centroids.lat, expected_lat) + np.testing.assert_array_almost_equal(centroids.lon, expected_lon) + + def test_ne_crs_geom_pass(self): + """Test _ne_crs_geom""" + natural_earth_geom = self.centr._ne_crs_geom() + self.assertEqual(natural_earth_geom.crs, u_coord.NE_CRS) + + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) + ne_geom = centr._ne_crs_geom() + self.assertTrue(u_coord.equal_crs(ne_geom.crs, u_coord.NE_CRS)) + np.testing.assert_allclose(ne_geom.geometry[:].x.values, 4.5, atol=0.1) + np.testing.assert_allclose(ne_geom.geometry[:].y.values, 0.0, atol=0.001) + + def test_set_on_land_pass(self): + """Test set_on_land""" + self.centr.set_on_land() + np.testing.assert_array_equal(self.centr.on_land, ON_LAND) + + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, on_land='natural_earth') + np.testing.assert_array_equal(centroids.on_land, ON_LAND) + + def test_set_on_land_implementationerror(self): + centroids = Centroids(lat=self.lat,lon=self.lon) + + with self.assertRaises(NotImplementedError): + centroids.set_on_land(source='satellite',overwrite=True) + + def test_set_on_land_raster(self): + """Test set_on_land""" + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) + centr_ras.set_on_land() + self.assertTrue(np.array_equal(centr_ras.on_land, np.ones(60 * 50, bool))) + + def test_set_region_id_pass(self): + """Test set_region_id""" + self.centr.set_region_id() + np.testing.assert_array_equal(self.centr.region_id, REGION_ID) + + centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id='country') + np.testing.assert_array_equal(centroids.region_id, REGION_ID) + + def test_set_region_id_raster(self): + """Test set_region_id raster file""" + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) + centr_ras.set_region_id() + self.assertEqual(centr_ras.region_id.size, centr_ras.size) + self.assertTrue(np.array_equal(np.unique(centr_ras.region_id), np.array([862]))) + + def test_set_region_id_implementationerror(self): + centroids = Centroids(lat=self.lat,lon=self.lon) + + with self.assertRaises(NotImplementedError): + centroids.set_region_id(level='continent',overwrite=True) + + def test_set_geometry_points_pass(self): + """Test set_geometry_points""" + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) + x_flat = np.arange(-69.3326495969998, -68.88264959699978, 0.009000000000000341) + y_flat = np.arange(10.423720966978939, 9.883720966978919, -0.009000000000000341) + x_grid, y_grid = np.meshgrid(x_flat, y_flat) + self.assertTrue(np.allclose(x_grid.flatten(), centr_ras.lon)) + self.assertTrue(np.allclose(y_grid.flatten(), centr_ras.lat)) + + +class TestCentroidsReaderWriter(unittest.TestCase): + """Test class for file based creation of Centroid objects and output""" def test_from_csv_def_crs(self): """Read a centroid csv file correctly and use default CRS.""" @@ -238,6 +511,37 @@ def test_write_read_excel(self): # delete file tmpfile.unlink() + def test_from_raster_file(self): + """Test from_raster_file""" + width, height = 50, 60 + o_lat, o_lon = (10.42822096697894, -69.33714959699981) + res_lat, res_lon = (-0.009000000000000341, 0.009000000000000341) + + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, width, height)) + self.assertTrue(u_coord.equal_crs(centr_ras.crs, DEF_CRS)) + self.assertEqual(centr_ras.size, width * height) + np.testing.assert_allclose( + [-69.333, -69.324, -69.333], centr_ras.lon[[0, 1, width]], atol=0.001, + ) + np.testing.assert_allclose( + [10.424, 10.424, 10.415], centr_ras.lat[[0, 1, width]], atol=0.001, + ) + + def test_from_vector_file(self): + """Test from_vector_file and values_from_vector_files""" + shp_file = shapereader.natural_earth(resolution='110m', category='cultural', + name='populated_places_simple') + + centr = Centroids.from_vector_file(shp_file, dst_crs=DEF_CRS) + self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) + self.assertAlmostEqual(centr.lon[0], 12.453386544971766) + self.assertAlmostEqual(centr.lon[-1], 114.18306345846304) + self.assertAlmostEqual(centr.lat[0], 41.903282179960115) + self.assertAlmostEqual(centr.lat[-1], 22.30692675357551) + + centr = Centroids.from_vector_file(shp_file, dst_crs=ALT_CRS) + self.assertTrue(u_coord.equal_crs(centr.crs, ALT_CRS)) + def test_from_geodataframe(self): """Test that constructing a valid Centroids instance from gdf works.""" crs = DEF_CRS @@ -346,22 +650,136 @@ def test_from_exposures_without_region_id(self): False, ) - -class TestCentroidsWriter(unittest.TestCase): + def test_from_exposure_exceptions(self): + gdf = gpd.GeoDataFrame({ + }) + exposures = Exposures(gdf) + with self.assertRaises(ValueError): + Centroids.from_exposures(exposures) def test_read_write_hdf5(self): tmpfile = Path('test_write_hdf5.out.hdf5') - lat = np.arange(0, 10) - lon = np.arange(-10, 0) crs = DEF_CRS - centroids_w = Centroids(lat=lat, lon=lon, crs=crs) + centroids_w = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=crs) centroids_w.write_hdf5(tmpfile) centroids_r = Centroids.from_hdf5(tmpfile) self.assertTrue(centroids_w == centroids_r) tmpfile.unlink() + def test_from_hdf5_nonexistent_file(self): + """Test raising FileNotFoundError when creating Centroids object from a nonexistent HDF5 file""" + file_name = "/path/to/nonexistentfile.h5" + # prescribe that file does not exist + with patch("pathlib.Path.is_file", return_value=False): + with self.assertRaises(FileNotFoundError): + Centroids.from_hdf5(file_name) class TestCentroidsMethods(unittest.TestCase): + """Test Centroids methods""" + def setUp(self): + self.centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=TEST_CRS) + + def test_select_pass(self): + """Test Centroids.select method""" + region_id = np.zeros(VEC_LAT.size) + region_id[[2, 4]] = 10 + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id=region_id) + + fil_centr = centr.select(reg_id=10) + self.assertIsInstance(fil_centr,Centroids) + self.assertEqual(fil_centr.size, 2) + self.assertEqual(fil_centr.lat[0], VEC_LAT[2]) + self.assertEqual(fil_centr.lat[1], VEC_LAT[4]) + self.assertEqual(fil_centr.lon[0], VEC_LON[2]) + self.assertEqual(fil_centr.lon[1], VEC_LON[4]) + self.assertTrue(np.array_equal(fil_centr.region_id, np.ones(2) * 10)) + + def test_select_extent_pass(self): + """Test select extent""" + centr = Centroids( + lat=np.array([-5, -3, 0, 3, 5]), + lon=np.array([-180, -175, -170, 170, 175]), + region_id=np.zeros(5), + ) + ext_centr = centr.select(extent=[-175, -170, -5, 5]) + self.assertIsInstance(ext_centr,Centroids) + np.testing.assert_array_equal(ext_centr.lon, np.array([-175, -170])) + np.testing.assert_array_equal(ext_centr.lat, np.array([-3, 0])) + + # Cross antimeridian, version 1 + ext_centr = centr.select(extent=[170, -175, -5, 5]) + np.testing.assert_array_equal(ext_centr.lon, np.array([-180, -175, 170, 175])) + np.testing.assert_array_equal(ext_centr.lat, np.array([-5, -3, 3, 5])) + + # Cross antimeridian, version 2 + ext_centr = centr.select(extent=[170, 185, -5, 5]) + np.testing.assert_array_equal(ext_centr.lon, np.array([-180, -175, 170, 175])) + np.testing.assert_array_equal(ext_centr.lat, np.array([-5, -3, 3, 5])) + + def test_append_pass(self): + """Append points""" + centr = self.centr + centr_bis = Centroids(lat=np.array([1, 2, 3]), lon=np.array([4, 5, 6]), crs=DEF_CRS) + with self.assertRaises(ValueError): + # Different crs + centr_bis.to_crs(ALT_CRS).append(centr) + centr_bis.append(centr) + self.assertAlmostEqual(centr_bis.lat[0], 1) + self.assertAlmostEqual(centr_bis.lat[1], 2) + self.assertAlmostEqual(centr_bis.lat[2], 3) + self.assertAlmostEqual(centr_bis.lon[0], 4) + self.assertAlmostEqual(centr_bis.lon[1], 5) + self.assertAlmostEqual(centr_bis.lon[2], 6) + self.assertTrue(np.array_equal(centr_bis.lat[3:], centr.lat)) + self.assertTrue(np.array_equal(centr_bis.lon[3:], centr.lon)) + + def test_append(self): + lat2,lon2 = np.array([6,7,8,9,10]),np.array([6,7,8,9,10]) + newcentr = Centroids(lat=lat2,lon=lon2) + newcentr.append(self.centr) + self.assertTrue(newcentr.size == len(self.centr.lon)+len(lon2)) + np.testing.assert_array_equal(newcentr.lon,np.concatenate([lon2,self.centr.lon])) + np.testing.assert_array_equal(newcentr.lat,np.concatenate([lat2,self.centr.lat])) + + def test_append_dif_crs(self): + lat2,lon2 = np.array([0,0,1,2,3,4,5]),np.array([0,0,1,2,3,4,5]) + centr2 = Centroids(lat=lat2,lon=lon2,crs='epsg:3857') + + # appending differing crs is not provided/possible + with self.assertRaises(ValueError): + self.centr.append(centr2) + + def test_remove_duplicate_pass(self): + """Test remove_duplicate_points""" + centr = Centroids( + lat=np.hstack([VEC_LAT, VEC_LAT]), + lon=np.hstack([VEC_LON, VEC_LON]), + crs=TEST_CRS, + ) + self.assertTrue(centr.gdf.shape[0] == 2 * self.centr.gdf.shape[0]) + rem_centr = Centroids.remove_duplicate_points(centr) + self.assertIsInstance(rem_centr,Centroids) + self.assertTrue(self.centr == rem_centr) + + + def test_remove_duplicates_dif_on_land(self): + ### We currently expect that only the geometry of the gdf defines duplicates. + ### If one geometry is duplicated with differences in other attributes e.g. on_land + ### they get removed nevertheless. Only the first occurrence will be part of the new object + ### this test is only here to guarantee this behaviour + lat, lon = np.array([0,0,1,2,3,4,5]),np.array([0,0,1,2,3,4,5]) + centr = Centroids(lat=lat,lon=lon,on_land=[True]+[False]*6) + centr_subset = centr.remove_duplicate_points() + # new object created + self.assertFalse(centr == centr_subset) + self.assertIsNot(centr,centr_subset) + # duplicates removed + self.assertTrue(centr_subset.size == len(lat)-1) + self.assertTrue(np.all(centr_subset.shape == (len(lat)-1,len(lon)-1))) + np.testing.assert_array_equal(centr_subset.lon,np.unique(lon)) + np.testing.assert_array_equal(centr_subset.lat,np.unique(lat)) + # only first on_land (True) is selected + self.assertTrue(centr_subset.on_land[0]) def test_union(self): lat, lon = np.array([0, 1]), np.array([0, -1]) @@ -376,28 +794,65 @@ def test_union(self): cent3 = Centroids(lat=lat3,lon=lon3) cent = cent1.union(cent2) - np.testing.assert_array_equal(cent.lat, [0, 1, 2, 3]) - np.testing.assert_array_equal(cent.lon, [0, -1, -2, 3]) - np.testing.assert_array_equal(cent.on_land, [True, True, False, False]) + np.testing.assert_array_equal(cent.lat, np.concatenate([lat,lat2])) + np.testing.assert_array_equal(cent.lon, np.concatenate([lon,lon2])) + np.testing.assert_array_equal(cent.on_land, np.concatenate([on_land,on_land2])) cent = cent1.union(cent1, cent2) - np.testing.assert_array_equal(cent.lat, [0, 1, 2, 3]) - np.testing.assert_array_equal(cent.lon, [0, -1, -2, 3]) - np.testing.assert_array_equal(cent.on_land, [True, True, False, False]) + np.testing.assert_array_equal(cent.lat, np.concatenate([lat,lat2])) + np.testing.assert_array_equal(cent.lon, np.concatenate([lon,lon2])) + np.testing.assert_array_equal(cent.on_land, np.concatenate([on_land,on_land2])) cent = Centroids.union(cent1) - np.testing.assert_array_equal(cent.lat, [0, 1]) - np.testing.assert_array_equal(cent.lon, [0, -1]) - np.testing.assert_array_equal(cent.on_land, [True, True]) + np.testing.assert_array_equal(cent.lat, cent1.lat) + np.testing.assert_array_equal(cent.lon, cent1.lon) + np.testing.assert_array_equal(cent.on_land, cent1.on_land) cent = cent1.union(cent1) - np.testing.assert_array_equal(cent.lat, [0, 1]) - np.testing.assert_array_equal(cent.lon, [0, -1]) - np.testing.assert_array_equal(cent.on_land, [True, True]) + np.testing.assert_array_equal(cent.lat, cent1.lat) + np.testing.assert_array_equal(cent.lon, cent1.lon) + np.testing.assert_array_equal(cent.on_land, cent1.on_land) + # if attributes are not part in one of the centroid objects it will be added as None in the union cent = Centroids.union(cent1, cent2, cent3) - np.testing.assert_array_equal(cent.lat, [0, 1, 2, 3, -1, -2]) - np.testing.assert_array_equal(cent.lon, [0, -1, -2, 3, 1, 2]) + np.testing.assert_array_equal(cent.lat, np.concatenate([lat,lat2,lat3])) + np.testing.assert_array_equal(cent.lon, np.concatenate([lon,lon2,lon3])) + np.testing.assert_array_equal(cent.on_land, np.concatenate([on_land,on_land2,[None,None]])) + + def test_select_pass(self): + """Test Centroids.select method""" + region_id = np.zeros(VEC_LAT.size) + region_id[[2, 4]] = 10 + centr = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id=region_id) + + fil_centr = centr.select(reg_id=10) + self.assertEqual(fil_centr.size, 2) + self.assertEqual(fil_centr.lat[0], VEC_LAT[2]) + self.assertEqual(fil_centr.lat[1], VEC_LAT[4]) + self.assertEqual(fil_centr.lon[0], VEC_LON[2]) + self.assertEqual(fil_centr.lon[1], VEC_LON[4]) + self.assertTrue(np.array_equal(fil_centr.region_id, np.ones(2) * 10)) + + def test_select_extent_pass(self): + """Test select extent""" + centr = Centroids( + lat=np.array([-5, -3, 0, 3, 5]), + lon=np.array([-180, -175, -170, 170, 175]), + region_id=np.zeros(5), + ) + ext_centr = centr.select(extent=[-175, -170, -5, 5]) + np.testing.assert_array_equal(ext_centr.lon, np.array([-175, -170])) + np.testing.assert_array_equal(ext_centr.lat, np.array([-3, 0])) + + # Cross antimeridian, version 1 + ext_centr = centr.select(extent=[170, -175, -5, 5]) + np.testing.assert_array_equal(ext_centr.lon, np.array([-180, -175, 170, 175])) + np.testing.assert_array_equal(ext_centr.lat, np.array([-5, -3, 3, 5])) + + # Cross antimeridian, version 2 + ext_centr = centr.select(extent=[170, 185, -5, 5]) + np.testing.assert_array_equal(ext_centr.lon, np.array([-180, -175, 170, 175])) + np.testing.assert_array_equal(ext_centr.lat, np.array([-5, -3, 3, 5])) def test_get_meta(self): """ @@ -427,10 +882,120 @@ def test_get_meta(self): self.assertTrue(u_coord.equal_crs(meta['crs'], expected_meta['crs'])) self.assertTrue(meta['transform'].almost_equals(expected_meta['transform'])) + def test_get_closest_point(self): + """Test get_closest_point""" + for n, (lat, lon) in enumerate(LATLON): + x, y, idx = self.centr.get_closest_point(lon * 0.99, lat * 1.01) + self.assertAlmostEqual(x, lon) + self.assertAlmostEqual(y, lat) + self.assertEqual(idx, n) + self.assertEqual(self.centr.lon[n], x) + self.assertEqual(self.centr.lat[n], y) + + def test_get_closest_point(self): + """Test get_closest_point""" + for y_sign in [1, -1]: + meta = { + 'width': 10, + 'height': 20, + 'transform': rasterio.Affine(0.5, 0, 0.1, 0, y_sign * 0.6, y_sign * (-0.3)), + 'crs': DEF_CRS, + } + centr_ras = Centroids.from_meta(meta=meta) + + test_data = np.array([ + [0.4, 0.1, 0.35, 0.0, 0], + [-0.1, 0.2, 0.35, 0.0, 0], + [2.2, 0.1, 2.35, 0.0, 4], + [1.4, 2.5, 1.35, 2.4, 42], + [5.5, -0.1, 4.85, 0.0, 9], + ]) + test_data[:,[1,3]] *= y_sign + for x_in, y_in, x_out, y_out, idx_out in test_data: + x, y, idx = centr_ras.get_closest_point(x_in, y_in) + self.assertEqual(x, x_out) + self.assertEqual(y, y_out) + self.assertEqual(idx, idx_out) + self.assertEqual(centr_ras.lon[idx], x) + self.assertEqual(centr_ras.lat[idx], y) + + centr_ras = Centroids(lat=np.array([0, 0.2, 0.7]), lon=np.array([-0.4, 0.2, 1.1])) + x, y, idx = centr_ras.get_closest_point(0.1, 0.0) + self.assertEqual(x, 0.2) + self.assertEqual(y, 0.2) + self.assertEqual(idx, 1) + + def test_dist_coast_pass(self): + """Test set_dist_coast""" + dist_coast = self.centr.get_dist_coast() + # Just checking that the output doesnt change over time. + REF_VALUES = np.array([ + 1605.243, 603.261, 26112.239, 2228.629, 7207.817, + 156271.372, 661.114, 158184.4, + ]) + # + self.assertIsInstance(dist_coast,np.ndarray) + np.testing.assert_array_almost_equal(dist_coast, REF_VALUES, decimal=3) + + def test_dist_coast_pass_raster(self): + """Test set_region_id""" + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) + dist_coast = centr_ras.get_dist_coast() + self.assertLess(abs(dist_coast[0] - 117000), 1000) + self.assertLess(abs(dist_coast[-1] - 104000), 1000) + + def test_area_pass(self): + """Test set_area""" + ulx, xres, lrx = 60, 1, 90 + uly, yres, lry = 0, 1, 20 + xx, yy = np.meshgrid(np.arange(ulx + xres / 2, lrx, xres), + np.arange(uly + yres / 2, lry, yres)) + vec_data = gpd.GeoDataFrame({ + 'geometry': [Point(xflat, yflat) for xflat, yflat in zip(xx.flatten(), yy.flatten())], + 'lon': xx.flatten(), + 'lat': yy.flatten(), + }, crs={'proj': 'cea'}) + centr = Centroids.from_geodataframe(vec_data) + area_pixel = centr.get_area_pixel() + self.assertTrue(np.allclose(area_pixel, np.ones(centr.size))) + + def test_area_pass_raster(self): + """Test set_area""" + window_size = (0, 0, 2, 3) + centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(*window_size)) + area_pixel = centr_ras.get_area_pixel() + + # Result in the crs of the test file (ESPG:4326) + # This is a wrong result as it should be projected to CEA (for correct area) + res = 0.009000000000000341 + self.assertFalse( + np.allclose(area_pixel, np.ones(window_size[2] * window_size[3]) * res**2) + ) + + # Correct result in CEA results in unequal pixel area + test_area = np.array([ + 981010.32497514, 981010.3249724 , 981037.92674855, + 981037.92674582, 981065.50487659, 981065.50487385, + ]) + np.testing.assert_allclose(area_pixel, test_area) + + def test_equal_pass(self): + """Test equal""" + centr_list = [ + Centroids(lat=VEC_LAT, lon=VEC_LON, crs=DEF_CRS), + Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS), + Centroids(lat=VEC_LAT + 1, lon=VEC_LON + 1) + ] + for centr1, centr2 in itertools.combinations(centr_list, 2): + self.assertFalse(centr2 == centr1) + self.assertFalse(centr1 == centr2) + self.assertTrue(centr1 == centr1) + self.assertTrue(centr2 == centr2) + # Execute Tests if __name__ == "__main__": TESTS = unittest.TestLoader().loadTestsFromTestCase(TestCentroidsData) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroidsReader)) + TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroidsReaderWriter)) TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroidsMethods)) unittest.TextTestRunner(verbosity=2).run(TESTS) diff --git a/climada/hazard/centroids/test/test_vec_ras.py b/climada/hazard/centroids/test/test_vec_ras.py deleted file mode 100644 index 93182f57d6..0000000000 --- a/climada/hazard/centroids/test/test_vec_ras.py +++ /dev/null @@ -1,460 +0,0 @@ -""" -This file is part of CLIMADA. - -Copyright (C) 2017 ETH Zurich, CLIMADA contributors listed in AUTHORS. - -CLIMADA is free software: you can redistribute it and/or modify it under the -terms of the GNU General Public License as published by the Free -Software Foundation, version 3. - -CLIMADA is distributed in the hope that it will be useful, but WITHOUT ANY -WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A -PARTICULAR PURPOSE. See the GNU General Public License for more details. - -You should have received a copy of the GNU General Public License along -with CLIMADA. If not, see . - ---- - -Test CentroidsVector and CentroidsRaster classes. -""" -import unittest - -from cartopy.io import shapereader -import geopandas as gpd -import numpy as np -from pyproj.crs.crs import CRS -import rasterio -from rasterio.windows import Window -from shapely.geometry.point import Point - -from climada import CONFIG -from climada.hazard.centroids.centr import Centroids -from climada.util.constants import HAZ_DEMO_FL, DEF_CRS -import climada.util.coordinates as u_coord -import itertools - -DATA_DIR = CONFIG.hazard.test_data.dir() - - -# Note: the coordinates are not directly on the cities, the region id and on land -# otherwise do not work correctly. It is only a close point. -LATLON = np.array([ - [-21.1736, -175.1883], # Tonga, Nuku'alofa, TON, 776 - [-18.133, 178.433], # Fidji, Suva, FJI, 242 IN WATER IN NATURAL EARTH - [-38.4689, 177.8642], # New-Zealand, Te Karaka, NZL, 554 - [69.6833, 18.95], # Norway, Tromso, NOR, 578 IN WATER IN NATURAL EARTH - [78.84422, 20.82842], # Norway, Svalbard, NOR, 578 - [1, 1], # Ocean, 0 (0,0 is onland in Natural earth for testing reasons) - [-77.85, 166.6778], # Antarctica, McMurdo station, ATA, 010 - [-0.25, -78.5833] # Ecuador, Quito, ECU, 218 -]) - -VEC_LAT = LATLON[:,0] -VEC_LON = LATLON[:,1] - -ON_LAND = np.array([True, False, True, False, True, False, True, True]) -REGION_ID = np.array([776, 0, 554, 0, 578, 0, 10, 218]) - -TEST_CRS = 'EPSG:4326' -ALT_CRS = 'epsg:32632' # UTM zone 32N (Central Europe, 6-12°E) - -class TestVector(unittest.TestCase): - """Test CentroidsVector class""" - - def setUp(self): - self.centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=TEST_CRS) - - def test_init_pass(self): - """Test init""" - self.assertTrue(np.allclose(self.centr.lat, VEC_LAT)) - self.assertTrue(np.allclose(self.centr.lon, VEC_LON)) - self.assertTrue(u_coord.equal_crs(self.centr.crs, TEST_CRS)) - - # Test default crs and other inputs - centr = Centroids( - lat=VEC_LAT, - lon=VEC_LON, - region_id=REGION_ID, - on_land=ON_LAND, - ) - self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) - self.assertTrue(np.allclose(centr.region_id, REGION_ID)) - self.assertTrue(np.allclose(centr.on_land, ON_LAND)) - - - def test_ne_crs_geom_pass(self): - """Test _ne_crs_geom""" - natural_earth_geom = self.centr._ne_crs_geom() - self.assertEqual(natural_earth_geom.crs, u_coord.NE_CRS) - - def test_dist_coast_pass(self): - """Test set_dist_coast""" - dist_coast = self.centr.get_dist_coast() - # Just checking that the output doesnt change over time. - REF_VALUES = np.array([ - 1605.243, 603.261, 26112.239, 2228.629, 7207.817, - 156271.372, 661.114, 158184.4, - ]) - np.testing.assert_array_almost_equal(dist_coast, REF_VALUES, decimal=3) - - def test_region_id_pass(self): - """Test set_region_id""" - self.centr.set_region_id() - np.testing.assert_array_equal(self.centr.region_id, REGION_ID) - - centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id='country') - np.testing.assert_array_equal(centroids.region_id, REGION_ID) - - def test_on_land(self): - """Test set_on_land""" - self.centr.set_on_land() - np.testing.assert_array_equal(self.centr.on_land, ON_LAND) - - centroids = Centroids(lat=VEC_LAT, lon=VEC_LON, on_land='natural_earth') - np.testing.assert_array_equal(centroids.on_land, ON_LAND) - - def test_remove_duplicate_pass(self): - """Test remove_duplicate_points""" - centr = Centroids( - lat=np.hstack([VEC_LAT, VEC_LAT]), - lon=np.hstack([VEC_LON, VEC_LON]), - crs=TEST_CRS, - ) - self.assertTrue(centr.gdf.shape[0] == 2 * self.centr.gdf.shape[0]) - rem_centr = Centroids.remove_duplicate_points(centr) - self.assertTrue(self.centr == rem_centr) - - def test_area_pass(self): - """Test set_area""" - ulx, xres, lrx = 60, 1, 90 - uly, yres, lry = 0, 1, 20 - xx, yy = np.meshgrid(np.arange(ulx + xres / 2, lrx, xres), - np.arange(uly + yres / 2, lry, yres)) - vec_data = gpd.GeoDataFrame({ - 'geometry': [Point(xflat, yflat) for xflat, yflat in zip(xx.flatten(), yy.flatten())], - 'lon': xx.flatten(), - 'lat': yy.flatten(), - }, crs={'proj': 'cea'}) - centr = Centroids.from_geodataframe(vec_data) - area_pixel = centr.get_area_pixel() - self.assertTrue(np.allclose(area_pixel, np.ones(centr.size))) - - def test_get_closest_point(self): - """Test get_closest_point""" - for n, (lat, lon) in enumerate(LATLON): - x, y, idx = self.centr.get_closest_point(lon * 0.99, lat * 1.01) - self.assertAlmostEqual(x, lon) - self.assertAlmostEqual(y, lat) - self.assertEqual(idx, n) - self.assertEqual(self.centr.lon[n], x) - self.assertEqual(self.centr.lat[n], y) - - def test_append_pass(self): - """Append points""" - centr = self.centr - centr_bis = Centroids(lat=np.array([1, 2, 3]), lon=np.array([4, 5, 6]), crs=DEF_CRS) - with self.assertRaises(ValueError): - # Different crs - centr_bis.to_crs(ALT_CRS).append(centr) - centr_bis.append(centr) - self.assertAlmostEqual(centr_bis.lat[0], 1) - self.assertAlmostEqual(centr_bis.lat[1], 2) - self.assertAlmostEqual(centr_bis.lat[2], 3) - self.assertAlmostEqual(centr_bis.lon[0], 4) - self.assertAlmostEqual(centr_bis.lon[1], 5) - self.assertAlmostEqual(centr_bis.lon[2], 6) - self.assertTrue(np.array_equal(centr_bis.lat[3:], centr.lat)) - self.assertTrue(np.array_equal(centr_bis.lon[3:], centr.lon)) - - def test_equal_pass(self): - """Test equal""" - centr_list = [ - Centroids(lat=VEC_LAT, lon=VEC_LON, crs=DEF_CRS), - Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS), - Centroids(lat=VEC_LAT + 1, lon=VEC_LON + 1) - ] - for centr1, centr2 in itertools.combinations(centr_list, 2): - self.assertFalse(centr2 == centr1) - self.assertFalse(centr1 == centr2) - self.assertTrue(centr1 == centr1) - self.assertTrue(centr2 == centr2) - - -class TestRaster(unittest.TestCase): - """Test CentroidsRaster class""" - - def test_from_pnt_bounds_pass(self): - """Test from_pnt_bounds""" - width, height = 26, 51 - left, bottom, right, top = 5, 0, 10, 10 - - centr = Centroids.from_pnt_bounds((left, bottom, right, top), 0.2, crs=DEF_CRS) - self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) - self.assertEqual(centr.size, width * height) - np.testing.assert_allclose([5.0, 5.2, 5.0], centr.lon[[0, 1, width]], atol=0.1) - np.testing.assert_allclose([10.0, 10.0, 9.8], centr.lat[[0, 1, width]], atol=0.1) - - def test_from_raster(self): - """Test from_raster_file""" - width, height = 50, 60 - o_lat, o_lon = (10.42822096697894, -69.33714959699981) - res_lat, res_lon = (-0.009000000000000341, 0.009000000000000341) - - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, width, height)) - self.assertTrue(u_coord.equal_crs(centr_ras.crs, DEF_CRS)) - self.assertEqual(centr_ras.size, width * height) - np.testing.assert_allclose( - [-69.333, -69.324, -69.333], centr_ras.lon[[0, 1, width]], atol=0.001, - ) - np.testing.assert_allclose( - [10.424, 10.424, 10.415], centr_ras.lat[[0, 1, width]], atol=0.001, - ) - - def test_ne_crs_geom_pass(self): - """Test _ne_crs_geom""" - centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) - ne_geom = centr._ne_crs_geom() - self.assertTrue(u_coord.equal_crs(ne_geom.crs, u_coord.NE_CRS)) - np.testing.assert_allclose(ne_geom.geometry[:].x.values, 4.5, atol=0.1) - np.testing.assert_allclose(ne_geom.geometry[:].y.values, 0.0, atol=0.001) - - def test_region_id_pass(self): - """Test set_dist_coast""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_region_id() - self.assertEqual(centr_ras.region_id.size, centr_ras.size) - self.assertTrue(np.array_equal(np.unique(centr_ras.region_id), np.array([862]))) - - def test_set_geometry_points_pass(self): - """Test set_geometry_points""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - x_flat = np.arange(-69.3326495969998, -68.88264959699978, 0.009000000000000341) - y_flat = np.arange(10.423720966978939, 9.883720966978919, -0.009000000000000341) - x_grid, y_grid = np.meshgrid(x_flat, y_flat) - self.assertTrue(np.allclose(x_grid.flatten(), centr_ras.lon)) - self.assertTrue(np.allclose(y_grid.flatten(), centr_ras.lat)) - - def test_dist_coast_pass(self): - """Test set_region_id""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - dist_coast = centr_ras.get_dist_coast() - self.assertLess(abs(dist_coast[0] - 117000), 1000) - self.assertLess(abs(dist_coast[-1] - 104000), 1000) - - def test_on_land(self): - """Test set_on_land""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_ras.set_on_land() - self.assertTrue(np.array_equal(centr_ras.on_land, np.ones(60 * 50, bool))) - - def test_area_pass(self): - """Test set_area""" - window_size = (0, 0, 2, 3) - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(*window_size)) - area_pixel = centr_ras.get_area_pixel() - - # Result in the crs of the test file (ESPG:4326) - # This is a wrong result as it should be projected to CEA (for correct area) - res = 0.009000000000000341 - self.assertFalse( - np.allclose(area_pixel, np.ones(window_size[2] * window_size[3]) * res**2) - ) - - # Correct result in CEA results in unequal pixel area - test_area = np.array([ - 981010.32497514, 981010.3249724 , 981037.92674855, - 981037.92674582, 981065.50487659, 981065.50487385, - ]) - np.testing.assert_allclose(area_pixel, test_area) - - def test_size_pass(self): - """Test size property""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - self.assertEqual(centr_ras.size, 50 * 60) - - def test_get_closest_point(self): - """Test get_closest_point""" - for y_sign in [1, -1]: - meta = { - 'width': 10, - 'height': 20, - 'transform': rasterio.Affine(0.5, 0, 0.1, 0, y_sign * 0.6, y_sign * (-0.3)), - 'crs': DEF_CRS, - } - centr_ras = Centroids.from_meta(meta=meta) - - test_data = np.array([ - [0.4, 0.1, 0.35, 0.0, 0], - [-0.1, 0.2, 0.35, 0.0, 0], - [2.2, 0.1, 2.35, 0.0, 4], - [1.4, 2.5, 1.35, 2.4, 42], - [5.5, -0.1, 4.85, 0.0, 9], - ]) - test_data[:,[1,3]] *= y_sign - for x_in, y_in, x_out, y_out, idx_out in test_data: - x, y, idx = centr_ras.get_closest_point(x_in, y_in) - self.assertEqual(x, x_out) - self.assertEqual(y, y_out) - self.assertEqual(idx, idx_out) - self.assertEqual(centr_ras.lon[idx], x) - self.assertEqual(centr_ras.lat[idx], y) - - centr_ras = Centroids(lat=np.array([0, 0.2, 0.7]), lon=np.array([-0.4, 0.2, 1.1])) - x, y, idx = centr_ras.get_closest_point(0.1, 0.0) - self.assertEqual(x, 0.2) - self.assertEqual(y, 0.2) - self.assertEqual(idx, 1) - - def test_from_meta(self): - """Test from_meta""" - meta_ref = { - 'width': 10, - 'height': 8, - 'transform': rasterio.Affine( - 0.6, 0, -0.1, - 0, -0.6, 0.3, - ), - 'crs': DEF_CRS, - } - - lon_ref = np.array([0.2, 0.8, 1.4, 2.0, 2.6, 3.2, 3.8, 4.4, 5.0, 5.6]) - lat_ref = np.array([0.0, -0.6, -1.2, -1.8, -2.4, -3.0, -3.6, -4.2]) - lon_ref, lat_ref = [ar.ravel() for ar in np.meshgrid(lon_ref, lat_ref)] - - centr = Centroids.from_meta(meta_ref) - meta = centr.get_meta() - self.assertTrue(u_coord.equal_crs(meta_ref["crs"], meta["crs"])) - self.assertEqual(meta_ref["width"], meta["width"]) - self.assertEqual(meta_ref["height"], meta["height"]) - np.testing.assert_allclose(meta_ref["transform"], meta["transform"]) - - centr = Centroids.from_meta( - Centroids(lat=lat_ref, lon=lon_ref).get_meta() - ) - np.testing.assert_allclose(lat_ref, centr.lat) - np.testing.assert_allclose(lon_ref, centr.lon) - - # `get_meta` enforces same resolution in x and y, and y-coordinates are decreasing. - # For other cases, `from_meta` needs to be checked manually. - meta_ref = { - 'width': 4, - 'height': 5, - 'transform': rasterio.Affine( - 0.5, 0, 0.2, - 0, 0.6, -0.7, - ), - 'crs': DEF_CRS, - } - lon_ref = np.array([0.45, 0.95, 1.45, 1.95]) - lat_ref = np.array([-0.4, 0.2, 0.8, 1.4, 2.0]) - lon_ref, lat_ref = [ar.ravel() for ar in np.meshgrid(lon_ref, lat_ref)] - - centr = Centroids.from_meta(meta_ref) - np.testing.assert_allclose(lat_ref, centr.lat) - np.testing.assert_allclose(lon_ref, centr.lon) - - def test_equal_pass(self): - """Test equal""" - centr_ras = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(0, 0, 50, 60)) - centr_bis = Centroids.from_raster_file(HAZ_DEMO_FL, window=Window(51, 61, 10, 10)) - self.assertFalse(centr_ras == centr_bis) - self.assertTrue(centr_ras == centr_ras) - self.assertTrue(centr_bis == centr_bis) - - -class TestCentroids(unittest.TestCase): - """Test Centroids class""" - - def test_centroids_check_pass(self): - """Test vector data in Centroids""" - centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=ALT_CRS) - - self.assertTrue(u_coord.equal_crs(centr.crs, CRS.from_user_input(ALT_CRS))) - self.assertEqual( - list(centr.total_bounds), - [VEC_LON.min(), VEC_LAT.min(), VEC_LON.max(), VEC_LAT.max()], - ) - - self.assertIsInstance(centr.lat, np.ndarray) - self.assertIsInstance(centr.lon, np.ndarray) - self.assertIsInstance(centr.coord, np.ndarray) - self.assertTrue(np.array_equal(centr.lat, VEC_LAT)) - self.assertTrue(np.array_equal(centr.lon, VEC_LON)) - self.assertTrue(np.array_equal(centr.coord, np.array([VEC_LAT, VEC_LON]).transpose())) - self.assertEqual(centr.size, VEC_LON.size) - - -class TestReader(unittest.TestCase): - """Test Centroids setter vector and raster methods""" - def setUp(self): - self.centr = Centroids(lat=VEC_LAT, lon=VEC_LON, crs=TEST_CRS) - - def test_from_vector_file(self): - """Test from_vector_file and values_from_vector_files""" - shp_file = shapereader.natural_earth(resolution='110m', category='cultural', - name='populated_places_simple') - - centr = Centroids.from_vector_file(shp_file, dst_crs=DEF_CRS) - self.assertTrue(u_coord.equal_crs(centr.crs, DEF_CRS)) - self.assertAlmostEqual(centr.lon[0], 12.453386544971766) - self.assertAlmostEqual(centr.lon[-1], 114.18306345846304) - self.assertAlmostEqual(centr.lat[0], 41.903282179960115) - self.assertAlmostEqual(centr.lat[-1], 22.30692675357551) - - centr = Centroids.from_vector_file(shp_file, dst_crs=ALT_CRS) - self.assertTrue(u_coord.equal_crs(centr.crs, ALT_CRS)) - - def test_write_read_h5(self): - """Write and read hdf5 format""" - file_name = str(DATA_DIR.joinpath('test_centr.h5')) - self.centr.write_hdf5(file_name) - centr_read = Centroids.from_hdf5(file_name) - self.assertEqual(self.centr, centr_read) - - -class TestCentroidsFuncs(unittest.TestCase): - """Test Centroids methods""" - def test_select_pass(self): - """Test Centroids.select method""" - region_id = np.zeros(VEC_LAT.size) - region_id[[2, 4]] = 10 - centr = Centroids(lat=VEC_LAT, lon=VEC_LON, region_id=region_id) - - fil_centr = centr.select(reg_id=10) - self.assertEqual(fil_centr.size, 2) - self.assertEqual(fil_centr.lat[0], VEC_LAT[2]) - self.assertEqual(fil_centr.lat[1], VEC_LAT[4]) - self.assertEqual(fil_centr.lon[0], VEC_LON[2]) - self.assertEqual(fil_centr.lon[1], VEC_LON[4]) - self.assertTrue(np.array_equal(fil_centr.region_id, np.ones(2) * 10)) - - def test_select_extent_pass(self): - """Test select extent""" - centr = Centroids( - lat=np.array([-5, -3, 0, 3, 5]), - lon=np.array([-180, -175, -170, 170, 175]), - region_id=np.zeros(5), - ) - ext_centr = centr.select(extent=[-175, -170, -5, 5]) - np.testing.assert_array_equal(ext_centr.lon, np.array([-175, -170])) - np.testing.assert_array_equal(ext_centr.lat, np.array([-3, 0])) - - # Cross antimeridian, version 1 - ext_centr = centr.select(extent=[170, -175, -5, 5]) - np.testing.assert_array_equal(ext_centr.lon, np.array([-180, -175, 170, 175])) - np.testing.assert_array_equal(ext_centr.lat, np.array([-5, -3, 3, 5])) - - # Cross antimeridian, version 2 - ext_centr = centr.select(extent=[170, 185, -5, 5]) - np.testing.assert_array_equal(ext_centr.lon, np.array([-180, -175, 170, 175])) - np.testing.assert_array_equal(ext_centr.lat, np.array([-5, -3, 3, 5])) - -# Execute Tests -if __name__ == "__main__": - TESTS = unittest.TestLoader().loadTestsFromTestCase(TestRaster) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestVector)) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroids)) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestReader)) - TESTS.addTests(unittest.TestLoader().loadTestsFromTestCase(TestCentroidsFuncs)) - unittest.TextTestRunner(verbosity=2).run(TESTS) From 5fba7f6ab12008615c9b9de48160dcd728decf8f Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 21 Feb 2024 14:10:11 +0100 Subject: [PATCH 186/192] trop_cyclone.TropCyclone.from_tracks: fix dist_coast type --- climada/hazard/trop_cyclone.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/climada/hazard/trop_cyclone.py b/climada/hazard/trop_cyclone.py index 02637d4c5f..686a88b214 100644 --- a/climada/hazard/trop_cyclone.py +++ b/climada/hazard/trop_cyclone.py @@ -275,7 +275,7 @@ def from_tracks( if 'dist_coast' not in centroids.gdf.columns: dist_coast = centroids.get_dist_coast() else: - dist_coast = centroids.gdf.dist_coast + dist_coast = centroids.gdf.dist_coast.values [idx_centr_filter] = ( (dist_coast <= max_dist_inland_km * 1000) & (np.abs(centroids.lat) <= max_latitude) From 62f26370f7809169ac479054ed192113ca27f2bf Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Fri, 23 Feb 2024 14:11:52 +0100 Subject: [PATCH 187/192] climada.hazard.Centroids: raise exception in deprecated methods that really _are_ failing now --- climada/hazard/base.py | 2 +- climada/hazard/centroids/centr.py | 12 +++++----- .../petals_regression_test/Jenkinsfile | 15 +----------- .../petals_regression_test/run_integ_test.sh | 24 +++++++++++++++++++ 4 files changed, 32 insertions(+), 21 deletions(-) create mode 100644 script/jenkins/petals_regression_test/run_integ_test.sh diff --git a/climada/hazard/base.py b/climada/hazard/base.py index b4060573c1..908e6d01f1 100644 --- a/climada/hazard/base.py +++ b/climada/hazard/base.py @@ -311,7 +311,7 @@ def from_raster(cls, files_intensity, files_fraction=None, attrs=None, reproject to given crs transform : rasterio.Affine affine transformation to apply - wdith : float, optional + width : float, optional number of lons for transform height : float, optional number of lats for transform diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 824829b04a..9cc97f78ca 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -1034,16 +1034,16 @@ def _ne_crs_geom(self): ## @classmethod - @deprecated(details="Reading Centroids data from matlab files is not supported anymore." - " You are suggested to use an old version of climada (<=4.*) and convert the file to hdf5 format.") + @deprecated(details="Reading Centroids data from matlab files is not supported anymore.") def from_mat(cls, file_name, var_names=None): - pass + raise NotImplementedError("You are suggested to use an old version of climada (<=4.*) and" + " convert the file to hdf5 format.") @staticmethod - @deprecated(details="Centroids as raster data is not supported in the current version of climada." - " You are suggested to downgrade to an older version (<=4.*) or turn the grid into a ``GeoDataFrame``") + @deprecated(details="Centroids as raster data is not supported in the current version of" + " climada.") def from_base_grid(land=False, res_as=360, base_file=None): - pass + raise NotImplementedError() @classmethod @deprecated(details="This method will be removed in a future version." diff --git a/script/jenkins/petals_regression_test/Jenkinsfile b/script/jenkins/petals_regression_test/Jenkinsfile index 56a8b0241a..433771e3ab 100644 --- a/script/jenkins/petals_regression_test/Jenkinsfile +++ b/script/jenkins/petals_regression_test/Jenkinsfile @@ -4,20 +4,7 @@ pipeline { stages { stage('integ_test') { steps { - sh '''#!/bin/bash - export PATH=$PATH:$CONDAPATH - mamba env update -n climada_env -f ~/jobs/petals_install_env/workspace/requirements/env_climada.yml - - source activate climada_env - pip install -e ~/jobs/petals_install_env/workspace/ - - cp ~/jobs/petals_install_env/workspace/climada.conf climada.conf - python script/jenkins/set_config.py test_directory ~/jobs/petals_install_env/workspace/climada_petals - - PYTHONPATH=.:$PYTHONPATH pytest --junitxml=tests_xml/tests.xml ~/jobs/petals_install_env/workspace/climada_petals - - git checkout climada.conf - ''' + sh 'bash script/jenkins/petals_regression_test/run_integ_test.sh' } } } diff --git a/script/jenkins/petals_regression_test/run_integ_test.sh b/script/jenkins/petals_regression_test/run_integ_test.sh new file mode 100644 index 0000000000..9f9844bf60 --- /dev/null +++ b/script/jenkins/petals_regression_test/run_integ_test.sh @@ -0,0 +1,24 @@ +#!/bin/bash +export PATH=$PATH:$CONDAPATH +mamba env update -n climada_env -f ~/jobs/petals_install_env/workspace/requirements/env_climada.yml + +source activate climada_env + +REGTESTENV=~/jobs/petals_compatibility/petals_env +BRANCH=`git name-rev --name-only HEAD | cut -f 3- -d /` +PETALS_DIR=`test -e $REGTESTENV/$BRANCH && cat $REGTESTENV/$BRANCH || echo ~/jobs/petals_branches/branches/develop/workspace` + +python -m venv --system-site-packages tvenv +source tvenv/bin/activate + +pip install -e $PETALS_DIR + +cp $PETALS_DIR/climada.conf climada.conf +python script/jenkins/set_config.py test_directory $PETALS_DIR/climada_petals + +PYTHONPATH=.:$PYTHONPATH pytest --junitxml=tests_xml/tests.xml $PETALS_DIR/climada_petals + +git checkout climada.conf + +deactivate +#rm -r tvenv From cd960c29455801fb1bdbe54ae92cc231e9bbdbe3 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Mon, 26 Feb 2024 10:23:59 +0100 Subject: [PATCH 188/192] changelog: list added Centroids methods --- CHANGELOG.md | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index e9d926778a..e2ffc63302 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,14 +10,24 @@ Code freeze date: YYYY-MM-DD ### Dependency Changes -### Added - ### Changed - Centroids complete overhaul. Most function should be backward compatible. Internal data is stored in a geodataframe attribute. Raster are now stored as points, and the meta attribute is removed. Several methds were deprecated or removed. [#787](https://github.com/CLIMADA-project/climada_python/pull/787) ### Fixed +### Added + +- climada.hazard.centroids.centr.Centroids.get_area_pixel +- climada.hazard.centroids.centr.Centroids.get_dist_coast +- climada.hazard.centroids.centr.Centroids.get_elevation +- climada.hazard.centroids.centr.Centroids.get_meta +- climada.hazard.centroids.centr.Centroids.get_pixel_shapes +- climada.hazard.centroids.centr.Centroids.to_crs +- climada.hazard.centroids.centr.Centroids.to_default_crs +- climada.hazard.centroids.centr.Centroids.write_csv +- climada.hazard.centroids.centr.Centroids.write_excel + ### Deprecated - climada.hazard.centroids.centr.Centroids.from_mat From 05676cbc226875c9afd32d8182a4cd25da733062 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 14 Mar 2024 09:39:05 +0100 Subject: [PATCH 189/192] hazard.centr: depreecated methods: pydoc string instaed of pass --- climada/hazard/centroids/centr.py | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 9cc97f78ca..69c348c995 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -1036,6 +1036,7 @@ def _ne_crs_geom(self): @classmethod @deprecated(details="Reading Centroids data from matlab files is not supported anymore.") def from_mat(cls, file_name, var_names=None): + """deprecated, raises NotImplementedError""" raise NotImplementedError("You are suggested to use an old version of climada (<=4.*) and" " convert the file to hdf5 format.") @@ -1043,42 +1044,46 @@ def from_mat(cls, file_name, var_names=None): @deprecated(details="Centroids as raster data is not supported in the current version of" " climada.") def from_base_grid(land=False, res_as=360, base_file=None): + """deprecated, raises NotImplementedError""" raise NotImplementedError() @classmethod @deprecated(details="This method will be removed in a future version." " Simply use the constructor instead.") def from_lat_lon(cls, lat, lon, crs="EPSG:4326"): + """deprecated, use the constructor instead""" return cls(lat=lat, lon=lon, crs=crs) @deprecated(details="This method is futile and will be removed in a future version." " `Centroids.get_area_pixel` can be run without initialization.") def set_area_pixel(self, min_resol=1e-08, scheduler=None): - pass + """deprecated, obsolete""" @deprecated(details="This method is futile and will be removed in a future version." " `Centroids.get_area_pixel` can be run without initialization.") def set_area_approx(self, min_resol=1e-08): - pass + """deprecated, obsolete""" @deprecated(details="This method is futile and will be removed in a future version." " `Centroids.get_dist_coast` can be run without initialization.") def set_dist_coast(self, signed=False, precomputed=False, scheduler=None): - pass + """deprecated, obsolete""" @deprecated(details="This method has no effect and will be removed in a future version." " In the current version of climada the geometry points of a `Centroids` object" " cannot be removed as they are the backbone of the Centroids' GeoDataFrame.") def empty_geometry_points(self): - pass + """"deprecated, has no effect, which may be unexpected: no geometry points will be removed, + the centroids' GeoDataFrame is built on them! + """ @deprecated(details="This method has no effect and will be removed in a future version.") def set_meta_to_lat_lon(self): - pass + """deprecated, has no effect""" @deprecated(details="This method has no effect and will be removed in a future version.") def set_lat_lon_to_meta(self, min_resol=1e-08): - pass + """deprecated, has no effect""" def _meta_to_lat_lon(meta): From d6d2859096fc3499c97e14d36fff4c93ada94755 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 14 Mar 2024 11:23:48 +0100 Subject: [PATCH 190/192] fixing geodataframe issues --- climada/entity/exposures/test/test_base.py | 2 +- climada/util/coordinates.py | 14 ++++++++------ 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 4a1146e26d..9e657a346e 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -280,7 +280,7 @@ def test_error_geometry_fail(self): """Wrong exposures definition""" expo = good_exposures() expo.set_geometry_points() - expo.gdf.latitude.values[0] = 5 + expo.gdf.loc[0, 'latitude'] = 5 with self.assertRaises(ValueError): expo.check() diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index 0659cb6252..451623880a 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -2743,18 +2743,20 @@ def apply_point(df_exp): return df_exp.apply(lambda row: Point(row.longitude, row.latitude), axis=1) ddata = dd.from_pandas(df_val, npartitions=cpu_count()) - df_val['geometry'] = ddata.map_partitions( + df_val['_-geometry-prov'] = ddata.map_partitions( apply_point, meta=('geometry', gpd.array.GeometryDtype) ).compute(scheduler=scheduler) + # single process else: - df_val['geometry'] = gpd.GeoSeries( - gpd.points_from_xy(df_val.longitude, df_val.latitude), index=df_val.index, crs=crs) + df_val['_-geometry-prov'] = gpd.GeoSeries( + gpd.points_from_xy(df_val.longitude, df_val.latitude), + index=df_val.index) - # set crs - if crs: - df_val.set_crs(crs, inplace=True) + # A 'geometry' column must not be created in a GeoDataFrame except through the constructor + # or with set_geometry. That's why we first made a temporary columns with a weird name + df_val.set_geometry('_-geometry-prov', inplace=True, drop=True, crs=crs) def fao_code_def(): From ab03d2a481f426f52af9e2a44b8d8b1f5f79d6c8 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Thu, 14 Mar 2024 16:18:50 +0100 Subject: [PATCH 191/192] Revert "fixing geodataframe issues" This reverts commit d6d2859096fc3499c97e14d36fff4c93ada94755. --- climada/entity/exposures/test/test_base.py | 2 +- climada/util/coordinates.py | 14 ++++++-------- 2 files changed, 7 insertions(+), 9 deletions(-) diff --git a/climada/entity/exposures/test/test_base.py b/climada/entity/exposures/test/test_base.py index 9e657a346e..4a1146e26d 100644 --- a/climada/entity/exposures/test/test_base.py +++ b/climada/entity/exposures/test/test_base.py @@ -280,7 +280,7 @@ def test_error_geometry_fail(self): """Wrong exposures definition""" expo = good_exposures() expo.set_geometry_points() - expo.gdf.loc[0, 'latitude'] = 5 + expo.gdf.latitude.values[0] = 5 with self.assertRaises(ValueError): expo.check() diff --git a/climada/util/coordinates.py b/climada/util/coordinates.py index 0978bd19db..8b9113c5bf 100644 --- a/climada/util/coordinates.py +++ b/climada/util/coordinates.py @@ -2744,20 +2744,18 @@ def apply_point(df_exp): return df_exp.apply(lambda row: Point(row.longitude, row.latitude), axis=1) ddata = dd.from_pandas(df_val, npartitions=cpu_count()) - df_val['_-geometry-prov'] = ddata.map_partitions( + df_val['geometry'] = ddata.map_partitions( apply_point, meta=('geometry', gpd.array.GeometryDtype) ).compute(scheduler=scheduler) - # single process else: - df_val['_-geometry-prov'] = gpd.GeoSeries( - gpd.points_from_xy(df_val.longitude, df_val.latitude), - index=df_val.index) + df_val['geometry'] = gpd.GeoSeries( + gpd.points_from_xy(df_val.longitude, df_val.latitude), index=df_val.index, crs=crs) - # A 'geometry' column must not be created in a GeoDataFrame except through the constructor - # or with set_geometry. That's why we first made a temporary columns with a weird name - df_val.set_geometry('_-geometry-prov', inplace=True, drop=True, crs=crs) + # set crs + if crs: + df_val.set_crs(crs, inplace=True) def fao_code_def(): From abc78ab0a19a0cc28b56f57f9660d43b8eda8a78 Mon Sep 17 00:00:00 2001 From: emanuel-schmid Date: Wed, 20 Mar 2024 13:13:43 +0100 Subject: [PATCH 192/192] centroids: deprecation warnings improved --- CHANGELOG.md | 4 ++-- climada/hazard/centroids/centr.py | 15 +++++++++------ 2 files changed, 11 insertions(+), 8 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index e2ffc63302..92086bdf5d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -30,8 +30,6 @@ Code freeze date: YYYY-MM-DD ### Deprecated -- climada.hazard.centroids.centr.Centroids.from_mat -- climada.hazard.centroids.centr.Centroids.from_base_grid - climada.hazard.centroids.centr.Centroids.from_lat_lon - climada.hazard.centroids.centr.Centroids.def set_area_pixel - climada.hazard.centroids.centr.Centroids.def set_area_approx @@ -52,6 +50,8 @@ Code freeze date: YYYY-MM-DD - climada.hazard.centroids.centr.Centroids.check - climada.hazard.centroids.centr.Centroids.clear - climada.hazard.centroids.centr.Centroids.equal +- climada.hazard.centroids.centr.Centroids.from_mat +- climada.hazard.centroids.centr.Centroids.from_base_grid - climada.hazard.centroids.centr.Centroids.read_excel - climada.hazard.centroids.centr.Centroids.read_hdf5 - climada.hazard.centroids.centr.Centroids.read_mat diff --git a/climada/hazard/centroids/centr.py b/climada/hazard/centroids/centr.py index 69c348c995..89ec5f0a34 100644 --- a/climada/hazard/centroids/centr.py +++ b/climada/hazard/centroids/centr.py @@ -1034,18 +1034,21 @@ def _ne_crs_geom(self): ## @classmethod - @deprecated(details="Reading Centroids data from matlab files is not supported anymore.") + @deprecated(details="Reading Centroids data from matlab files is not supported anymore." + "This method has been removed with climada 5.0") def from_mat(cls, file_name, var_names=None): - """deprecated, raises NotImplementedError""" + """Reading Centroids data from matlab files is not supported anymore. + This method has been removed with climada 5.0""" raise NotImplementedError("You are suggested to use an old version of climada (<=4.*) and" " convert the file to hdf5 format.") @staticmethod - @deprecated(details="Centroids as raster data is not supported in the current version of" - " climada.") + @deprecated(details="This method has been removed with climada 5.0") def from_base_grid(land=False, res_as=360, base_file=None): - """deprecated, raises NotImplementedError""" - raise NotImplementedError() + """This method has been removed with climada 5.0""" + raise NotImplementedError("Create the Centroids from a custom base file or from Natural" + " Earth (files are available in Climada, look up ``climada.util" + ".constants.NATEARTH_CENTROIDS`` for their location)") @classmethod @deprecated(details="This method will be removed in a future version."

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