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* Working draft of shapefile masking * Version of shapefile masking with tests and ready for preliminary review * Updated tests with proper paths and skip_tests decorator * fixed some paths and removed broken code * Added more tests and split into integration and unit tests. Testing warnings/errors aswell. * responces to comments on utils.py for shapefile masking * tests actually pass now * Moved tests to correct locations and strted changes on _shapefiles.py * some changes to _shapefiles to match review * added setUp cases to tests * moved test names to lower_case and added acknoledgment * removed seperate guess_bounds function * updated structure to properly call coord names/coords when optimal * sphnix improvements to docstring Co-authored-by: Martin Yeo <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * commited dask map_blocks approach and some test improvements * replaced bounds rebasing via modulus with vectorized version * Dask chunk control and some docstrings * reverted behaviour of modulus function to ASCEND and switcher argument order in utils * edied tests to work with flipped argument order * Improved optimisation by reading shapely docs properly and just using a dask.delayed call * Docstring updates and a 4d integration test * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update lib/iris/_shapefiles.py Co-authored-by: Martin Yeo <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * improving readability from martin * removed dask.delayed call * Update lib/iris/_shapefiles.py Co-authored-by: Martin Yeo <[email protected]> * Update lib/iris/_shapefiles.py Co-authored-by: Martin Yeo <[email protected]> * Update lib/iris/util.py Co-authored-by: Martin Yeo <[email protected]> * Added warning for possible mismatch of mask/cube coords * test for new warning * added test * Update lib/iris/_shapefiles.py Co-authored-by: Martin Yeo <[email protected]> * Added licenses * fixed doctest failures in example * Improved test coverage * fixed doctest * doctest again * Docstring tidy up. * fixed prime meridian bug * Update lib/iris/_shapefiles.py Co-authored-by: Martin Yeo <[email protected]> * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added first draft of user guide page * Add What's New entry. --------- Co-authored-by: Martin Yeo <[email protected]> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Martin Yeo <[email protected]>
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docs/src/userguide/plotting_examples/masking_brazil_plot.py
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"""Global cube masked to Brazil and plotted with quickplot.""" | ||
import cartopy.io.shapereader as shpreader | ||
import matplotlib.pyplot as plt | ||
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import iris | ||
import iris.quickplot as qplt | ||
from iris.util import mask_cube_from_shapefile | ||
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country_shp_reader = shpreader.Reader( | ||
shpreader.natural_earth( | ||
resolution="110m", category="cultural", name="admin_0_countries" | ||
) | ||
) | ||
brazil_shp = [ | ||
country.geometry | ||
for country in country_shp_reader.records() | ||
if "Brazil" in country.attributes["NAME_LONG"] | ||
][0] | ||
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cube = iris.load_cube(iris.sample_data_path("air_temp.pp")) | ||
brazil_cube = mask_cube_from_shapefile(cube, brazil_shp) | ||
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qplt.pcolormesh(brazil_cube) | ||
plt.show() |
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# Copyright Iris contributors | ||
# | ||
# This file is part of Iris and is released under the BSD license. | ||
# See LICENSE in the root of the repository for full licensing details. | ||
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# Much of this code is originally based off the ASCEND library, developed in | ||
# the Met Office by Chris Kent, Emilie Vanvyve, David Bentley, Joana Mendes | ||
# many thanks to them. Converted to iris by Alex Chamberlain-Clay | ||
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from itertools import product | ||
import warnings | ||
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import numpy as np | ||
import shapely | ||
import shapely.errors | ||
import shapely.geometry as sgeom | ||
import shapely.ops | ||
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from iris.exceptions import IrisDefaultingWarning, IrisUserWarning | ||
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def create_shapefile_mask( | ||
geometry, | ||
cube, | ||
minimum_weight=0.0, | ||
): | ||
"""Make a mask for a cube from a shape. | ||
Get the mask of the intersection between the | ||
given shapely geometry and cube with x/y DimCoords. | ||
Can take a minimum weight and evaluate area overlaps instead | ||
Parameters | ||
---------- | ||
geometry : :class:`shapely.Geometry` | ||
cube : :class:`iris.cube.Cube` | ||
A :class:`~iris.cube.Cube` which has 1d x and y coordinates | ||
minimum_weight : float, default 0.0 | ||
A float between 0 and 1 determining what % of a cell | ||
a shape must cover for the cell to remain unmasked. | ||
eg: 0.1 means that at least 10% of the shape overlaps the cell | ||
to be unmasked. | ||
Requires geometry to be a Polygon or MultiPolygon | ||
Defaults to 0.0 (eg only test intersection) | ||
Returns | ||
------- | ||
:class:`np.array` | ||
An array of the shape of the x & y coordinates of the cube, with points | ||
to mask equal to True | ||
""" | ||
from iris.cube import Cube, CubeList | ||
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try: | ||
msg = "Geometry is not a valid Shapely object" | ||
if not shapely.is_valid(geometry): | ||
raise TypeError(msg) | ||
except Exception: | ||
raise TypeError(msg) | ||
if not isinstance(cube, Cube): | ||
if isinstance(cube, CubeList): | ||
msg = "Received CubeList object rather than Cube - \ | ||
to mask a CubeList iterate over each Cube" | ||
raise TypeError(msg) | ||
else: | ||
msg = "Received non-Cube object where a Cube is expected" | ||
raise TypeError(msg) | ||
if minimum_weight > 0.0 and isinstance( | ||
geometry, | ||
( | ||
sgeom.Point, | ||
sgeom.LineString, | ||
sgeom.LinearRing, | ||
sgeom.MultiPoint, | ||
sgeom.MultiLineString, | ||
), | ||
): | ||
minimum_weight = 0.0 | ||
warnings.warn( | ||
"""Shape is of invalid type for minimum weight masking, | ||
must use a Polygon rather than Line shape.\n | ||
Masking based off intersection instead. """, | ||
category=IrisDefaultingWarning, | ||
) | ||
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# prepare 2D cube | ||
y_name, x_name = _cube_primary_xy_coord_names(cube) | ||
cube_2d = cube.slices([y_name, x_name]).next() | ||
for coord in cube_2d.dim_coords: | ||
if not coord.has_bounds(): | ||
coord.guess_bounds() | ||
trans_geo = _transform_coord_system(geometry, cube_2d) | ||
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y_coord, x_coord = [cube_2d.coord(n) for n in (y_name, x_name)] | ||
x_bounds = _get_mod_rebased_coord_bounds(x_coord) | ||
y_bounds = _get_mod_rebased_coord_bounds(y_coord) | ||
# prepare array for dark | ||
box_template = [ | ||
sgeom.box(x[0], y[0], x[1], y[1]) for x, y in product(x_bounds, y_bounds) | ||
] | ||
# shapely can do lazy evaluation of intersections if it's given a list of grid box shapes | ||
# delayed lets us do it in parallel | ||
intersect_template = shapely.intersects(trans_geo, box_template) | ||
# we want areas not under shapefile to be True (to mask) | ||
intersect_template = np.invert(intersect_template) | ||
# now calc area overlaps if doing weights and adjust mask | ||
if minimum_weight > 0.0: | ||
intersections = np.array(box_template)[~intersect_template] | ||
intersect_template[~intersect_template] = [ | ||
trans_geo.intersection(box).area / box.area <= minimum_weight | ||
for box in intersections | ||
] | ||
mask_template = np.reshape(intersect_template, cube_2d.shape[::-1]).T | ||
return mask_template | ||
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def _transform_coord_system(geometry, cube, geometry_system=None): | ||
"""Project the shape onto another coordinate system. | ||
Parameters | ||
---------- | ||
geometry: :class:`shapely.Geometry` | ||
cube: :class:`iris.cube.Cube` | ||
:class:`~iris.cube.Cube` with the coord_system to be projected to and | ||
a x coordinate | ||
geometry_system: :class:`iris.coord_systems`, optional | ||
A :class:`~iris.coord_systems` object describing | ||
the coord_system of the shapefile. Defaults to None, | ||
which is treated as GeogCS | ||
Returns | ||
------- | ||
:class:`shapely.Geometry` | ||
A transformed copy of the provided :class:`shapely.Geometry` | ||
""" | ||
y_name, x_name = _cube_primary_xy_coord_names(cube) | ||
import iris.analysis.cartography | ||
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DEFAULT_CS = iris.coord_systems.GeogCS( | ||
iris.analysis.cartography.DEFAULT_SPHERICAL_EARTH_RADIUS | ||
) | ||
target_system = cube.coord_system() | ||
if not target_system: | ||
warnings.warn( | ||
"Cube has no coord_system; using default GeogCS lat/lon", | ||
category=IrisDefaultingWarning, | ||
) | ||
target_system = DEFAULT_CS | ||
if geometry_system is None: | ||
geometry_system = DEFAULT_CS | ||
target_proj = target_system.as_cartopy_projection() | ||
source_proj = geometry_system.as_cartopy_projection() | ||
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trans_geometry = target_proj.project_geometry(geometry, source_proj) | ||
# A GeogCS in iris can be either -180 to 180 or 0 to 360. If cube is 0-360, shift geom to match | ||
if ( | ||
isinstance(target_system, iris.coord_systems.GeogCS) | ||
and cube.coord(x_name).points[-1] > 180 | ||
): | ||
# chop geom at 0 degree line very finely then transform | ||
prime_meridian_line = shapely.LineString([(0, 90), (0, -90)]) | ||
trans_geometry = trans_geometry.difference(prime_meridian_line.buffer(0.00001)) | ||
trans_geometry = shapely.transform(trans_geometry, _trans_func) | ||
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if (not isinstance(target_system, iris.coord_systems.GeogCS)) and cube.coord( | ||
x_name | ||
).points[-1] > 180: | ||
# this may lead to incorrect masking or not depending on projection type so warn user | ||
warnings.warn( | ||
"""Cube has x-coordinates over 180E and a non-standard projection type.\n | ||
This may lead to incorrect masking. \n | ||
If the result is not as expected, you might want to transform the x coordinate points of your cube to -180-180 """, | ||
category=IrisUserWarning, | ||
) | ||
return trans_geometry | ||
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def _trans_func(geometry): | ||
"""Pocket function for transforming the x coord of a geometry from -180 to 180 to 0-360.""" | ||
for point in geometry: | ||
if point[0] < 0: | ||
point[0] = 360 - np.abs(point[0]) | ||
return geometry | ||
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def _cube_primary_xy_coord_names(cube): | ||
"""Return the primary latitude and longitude coordinate names, or long names, from a cube. | ||
Parameters | ||
---------- | ||
cube : :class:`iris.cube.Cube` | ||
Returns | ||
------- | ||
tuple of str | ||
The names of the primary latitude and longitude coordinates | ||
""" | ||
latc = ( | ||
cube.coords(axis="y", dim_coords=True)[0] | ||
if cube.coords(axis="y", dim_coords=True) | ||
else -1 | ||
) | ||
lonc = ( | ||
cube.coords(axis="x", dim_coords=True)[0] | ||
if cube.coords(axis="x", dim_coords=True) | ||
else -1 | ||
) | ||
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if -1 in (latc, lonc): | ||
msg = "Error retrieving 1d xy coordinates in cube: {!r}" | ||
raise ValueError(msg.format(cube)) | ||
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latitude = latc.name() | ||
longitude = lonc.name() | ||
return latitude, longitude | ||
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def _get_mod_rebased_coord_bounds(coord): | ||
"""Take in a coord and returns a array of the bounds of that coord rebased to the modulus. | ||
Parameters | ||
---------- | ||
coord : :class:`iris.coords.Coord` | ||
An Iris coordinate with a modulus | ||
Returns | ||
------- | ||
:class:`np.array` | ||
A 1d Numpy array of [start,end] pairs for bounds of the coord | ||
""" | ||
modulus = coord.units.modulus | ||
# Force realisation (rather than core_bounds) - more efficient for the | ||
# repeated indexing happening downstream. | ||
result = np.array(coord.bounds) | ||
if modulus: | ||
result[result < 0.0] = (np.abs(result[result < 0.0]) % modulus) * -1 | ||
result[np.isclose(result, modulus, 1e-10)] = 0.0 | ||
return result |
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