From 3d458f38d62153647106c3afea5c99bf0c7e1744 Mon Sep 17 00:00:00 2001 From: JayH Date: Fri, 4 Sep 2020 16:36:51 -0400 Subject: [PATCH 01/28] io for xarray --- deltametrics/cube.py | 4 +++- deltametrics/io.py | 22 +++++++++++----------- 2 files changed, 14 insertions(+), 12 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 27299c60..04bc8a42 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -5,6 +5,7 @@ import numpy as np import scipy as sp +import xarray as xr import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import @@ -512,7 +513,8 @@ def __getitem__(self, var): return CubeVariable(np.tile(_t, (1, *self.shape[1:])), variable='time') elif var in self._variables: - return CubeVariable(self.dataio[var], variable=var) + return CubeVariable(self.dataio.dataset[var], variable=var) + # return CubeVariable(self.dataio[var], variable=var) else: raise AttributeError('No variable of {cube} named {var}'.format( cube=str(self), var=var)) diff --git a/deltametrics/io.py b/deltametrics/io.py index 6663f702..b9bf9675 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -4,6 +4,7 @@ import sys import numpy as np +import xarray as xr import netCDF4 @@ -143,7 +144,8 @@ def connect(self): """Connect to the data file. Initialize the file if it does not exist, or simply ``return`` if the - file already exists. + file already exists. This connection to the data file is "lazy" + loading, meaning that array values are not being loaded into memory. .. note:: This function is automatically called during initialization of any @@ -151,19 +153,17 @@ def connect(self): """ if not os.path.isfile(self.data_path): - self.dataset = netCDF4.Dataset( + _tempdataset = netCDF4.Dataset( self.data_path, "w", format="NETCDF4") - else: - if self.write: - self.dataset = netCDF4.Dataset(self.data_path, "r+") - else: - self.dataset = netCDF4.Dataset(self.data_path, "r") + _tempdataset.close() + + self.dataset = xr.open_dataset(self.data_path) def read(self, var): """Read variable from file and into memory. - Converts `variables` in netCDF file to `ndarray` for coersion into a - :obj:`~deltametrics.cube.Cube` instance. + Converts `variables` in netCDF file to `xarray` objects for coersion + into a :obj:`~deltametrics.cube.Cube` instance. Parameters ---------- @@ -171,10 +171,10 @@ def read(self, var): Which variable to load from the file. """ try: - _arr = self.dataset.variables[var] + _arr = self.dataset[var] except ValueError as e: raise e - self._in_memory_data[var] = np.array(_arr, copy=True) + self._in_memory_data[var] = _arr.load() def write(self): """Write data to file. From 17496b459f15194ec8403e8040585f0670da8249 Mon Sep 17 00:00:00 2001 From: JayH Date: Fri, 4 Sep 2020 19:39:34 -0400 Subject: [PATCH 02/28] make CubeVariable an xarray accessor --- deltametrics/cube.py | 102 +++++++++++++++++++++------------------- deltametrics/section.py | 4 +- setup.py | 2 +- 3 files changed, 57 insertions(+), 51 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 04bc8a42..c47260f1 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -18,7 +18,8 @@ from . import plot -class CubeVariable(np.ndarray): +@xr.register_dataarray_accessor("cubevar") +class CubeVariable(): """Slice of a Cube. Slicing an :obj:`~deltametrics.cube.Cube` returns an object of this type. @@ -46,48 +47,52 @@ class CubeVariable(np.ndarray): 'velocity' """ - def __new__(cls, *args, **kwargs): - """Initialize the ndarray. - """ - variable = kwargs.pop('variable', None) - coords = kwargs.pop('coords', None) - obj = np.array(*args, **kwargs) - obj = np.asarray(obj).view(cls) - obj.variable = variable - if not coords: - obj.t, obj.x, obj.y = [np.arange(l) for l in obj.shape] - else: - obj.t, obj.x, obj.y = coords['t'], coords['x'], coords['y'] - return obj - - def __array_finalize__(self, obj): - """Place things that must always happen here. - - This method is called when any new array is cast. The ``__new__`` - method is not called when views are cast of an existing - `CubeVariable`, so anything special about the `CubeVariable` needs to - implemented here in addition to in ``__new__``. - - This method could be configured to return a standard ndarray if a view - is cast, but currently, it will return another CubeVariable instance. - """ - if obj is None: - return - self.variable = getattr(obj, 'variable', None) - self.t, self.x, self.y = getattr(obj, 'coords', range(3)) - - def __repr__(self): - """Lighterweight repr - """ - if self.size > 5000: - return str(type(self)) + ' variable: `' + self.variable \ - + '`; dtype: ' + str(self.dtype) + ' size: ' + str(self.size) - else: - return str(self) - - def as_frozen(self): - """Export variable as `ndarray`.""" - return self.view(np.ndarray) + def __init__(self, xarray_obj): + self.data = xarray_obj + self.variable = xarray_obj.name + + # def __new__(cls, *args, **kwargs): + # """Initialize the ndarray. + # """ + # variable = kwargs.pop('variable', None) + # coords = kwargs.pop('coords', None) + # obj = np.array(*args, **kwargs) + # obj = np.asarray(obj).view(cls) + # obj.variable = variable + # if not coords: + # obj.t, obj.x, obj.y = [np.arange(l) for l in obj.shape] + # else: + # obj.t, obj.x, obj.y = coords['t'], coords['x'], coords['y'] + # return obj + # + # def __array_finalize__(self, obj): + # """Place things that must always happen here. + # + # This method is called when any new array is cast. The ``__new__`` + # method is not called when views are cast of an existing + # `CubeVariable`, so anything special about the `CubeVariable` needs to + # implemented here in addition to in ``__new__``. + # + # This method could be configured to return a standard ndarray if a view + # is cast, but currently, it will return another CubeVariable instance. + # """ + # if obj is None: + # return + # self.variable = getattr(obj, 'variable', None) + # self.t, self.x, self.y = getattr(obj, 'coords', range(3)) + # + # def __repr__(self): + # """Lighterweight repr + # """ + # if self.size > 5000: + # return str(type(self)) + ' variable: `' + self.variable \ + # + '`; dtype: ' + str(self.dtype) + ' size: ' + str(self.size) + # else: + # return str(self) + # + # def as_frozen(self): + # """Export variable as `ndarray`.""" + # return self.view(np.ndarray) class BaseCube(abc.ABC): @@ -390,7 +395,7 @@ def show_plan(self, var, t=-1, ax=None, title=None, ticks=False): NEEDS TO BE PORTED OVER TO WRAP THE .show() METHOD OF PLAN! """ - _plan = self[var][t] # REPLACE WITH OBJECT RETURNED FROM PLAN + _plan = self[var].data[t] # REPLACE WITH OBJECT RETURNED FROM PLAN if not ax: ax = plt.gca() @@ -484,7 +489,7 @@ def __init__(self, data, read=[], varset=None, stratigraphy_from=None): self._t = np.array(self._dataio['time'], copy=True) _, self._T, _ = np.meshgrid(self.y, self.t, self.x) - self._H, self._L, self._W = self['eta'].shape + self._H, self._L, self._W = self['eta'].data.shape self._knows_stratigraphy = False @@ -510,10 +515,11 @@ def __getitem__(self, var): if var == 'time': # a special attribute we add, which matches eta.shape _t = np.expand_dims(self.dataio['time'], axis=(1, 2)) - return CubeVariable(np.tile(_t, (1, *self.shape[1:])), - variable='time') + return self._dataio.dataset[var].cubevar + # return CubeVariable(np.tile(_t, (1, *self.shape[1:])), + # variable='time') elif var in self._variables: - return CubeVariable(self.dataio.dataset[var], variable=var) + return self._dataio.dataset[var].cubevar # return CubeVariable(self.dataio[var], variable=var) else: raise AttributeError('No variable of {cube} named {var}'.format( diff --git a/deltametrics/section.py b/deltametrics/section.py index b8a06c5d..dc584d3e 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -307,7 +307,7 @@ def __getitem__(self, var): :, self._y, self._x], _strat_attr=self.cube.strat_attr('section', self._y, self._x)) else: - return DataSectionVariable(_data=self.cube[var][:, self._y, self._x], + return DataSectionVariable(_data=self.cube[var].data[:, self._y, self._x], _s=self.s, _z=self.z) elif type(self.cube) is cube.StratigraphyCube: return StratigraphySectionVariable(_data=self.cube[var][:, self._y, self._x], @@ -493,7 +493,7 @@ def __init__(self, *args, y=0): def _compute_section_coords(self): """Calculate coordinates of the strike section. """ - _nx = self.cube['eta'].shape[2] + _nx = self.cube['eta'].data.shape[2] self._x = np.arange(_nx) self._y = np.tile(self.y, (_nx)) diff --git a/setup.py b/setup.py index 0f04e79b..9a83d69b 100644 --- a/setup.py +++ b/setup.py @@ -13,5 +13,5 @@ include_package_data=True, url='https://github.com/DeltaRCM/DeltaMetrics', install_requires=['matplotlib', 'netCDF4', - 'scipy', 'numpy', 'pyyaml'], + 'scipy', 'numpy', 'pyyaml', 'xarray'], ) From 3a1408e3aced7ae1ad44f6a45400796479d84969 Mon Sep 17 00:00:00 2001 From: JayH Date: Sat, 5 Sep 2020 15:01:06 -0400 Subject: [PATCH 03/28] minor changes --- deltametrics/cube.py | 51 +++++++++++++++++++++++++++++++++-------- deltametrics/plot.py | 1 + deltametrics/section.py | 24 ++++++++++++------- 3 files changed, 58 insertions(+), 18 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index c47260f1..7cda6a83 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -48,8 +48,23 @@ class CubeVariable(): """ def __init__(self, xarray_obj): + """Initialize the ``CubeVariable`` object.""" self.data = xarray_obj - self.variable = xarray_obj.name + + def initialize(self, **kwargs): + """Initialize with **kwargs.""" + self.shape = self.data.shape + variable = kwargs.pop('variable', None) + self.variable = variable + coords = kwargs.pop('coords', None) + if not coords: + self.t, self.x, self.y = [np.arange(itm) for itm in self.shape] + else: + self.t, self.x, self.y = coords['t'], coords['x'], coords['y'] + + def as_frozen(self): + """Export variable as `ndarray`.""" + return self.data.values # def __new__(cls, *args, **kwargs): # """Initialize the ndarray. @@ -381,7 +396,8 @@ def export_frozen_variable(self, var, return_cube=False): if return_cube: raise NotImplementedError else: - return self.__getitem__(var).view(np.ndarray) + return self.values + # return self.__getitem__(var).view(np.ndarray) def show_cube(self, var, t=-1, x=-1, y=-1, ax=None): """Show the cube in a 3d axis. @@ -514,12 +530,19 @@ def __getitem__(self, var): """ if var == 'time': # a special attribute we add, which matches eta.shape - _t = np.expand_dims(self.dataio['time'], axis=(1, 2)) - return self._dataio.dataset[var].cubevar + _coords = {} + _coords['t'] = self.T + _coords['x'] = self.X + _coords['y'] = self.Y + _obj = self._dataio.dataset[var].cubevar + _obj.initialize(variable='time', coords=_coords) + return _obj # return CubeVariable(np.tile(_t, (1, *self.shape[1:])), # variable='time') elif var in self._variables: - return self._dataio.dataset[var].cubevar + _obj = self._dataio.dataset[var].cubevar + _obj.initialize(variable=var) + return _obj # return CubeVariable(self.dataio[var], variable=var) else: raise AttributeError('No variable of {cube} named {var}'.format( @@ -544,9 +567,13 @@ def stratigraphy_from(self, variable='eta', style='mesh', **kwargs): initializers. """ if style == 'mesh': - self.strat_attr = strat.MeshStratigraphyAttributes(elev=self[variable], **kwargs) + self.strat_attr = \ + strat.MeshStratigraphyAttributes(elev=self[variable].data, + **kwargs) elif style == 'boxy': - self.strat_attr = strat.BoxyStratigraphyAttributes(elev=self[variable], **kwargs) + self.strat_attr = \ + strat.BoxyStratigraphyAttributes(elev=self[variable].data, + **kwargs) else: raise ValueError('Bad "style" argument supplied: %s' % str(style)) self._knows_stratigraphy = True @@ -693,9 +720,13 @@ def __getitem__(self, var): cube=str(self), var=var)) # the following lines apply the data to stratigraphy mapping - _cut = _var[self.data_coords[:, 0], self.data_coords[:, 1], self.data_coords[:, 2]] - _arr[self.strata_coords[:, 0], self.strata_coords[:, 1], self.strata_coords[:, 2]] = _cut - return CubeVariable(_arr, variable=var) + _cut = _var[self.data_coords[:, 0], self.data_coords[:, 1], + self.data_coords[:, 2]] + _arr[self.strata_coords[:, 0], self.strata_coords[:, 1], + self.strata_coords[:, 2]] = _cut + _obj = xr.DataArray(_arr) + _obj.cubevar.initialize(variable=var) + return _obj @property def strata(self): diff --git a/deltametrics/plot.py b/deltametrics/plot.py index 51a57533..c962de19 100644 --- a/deltametrics/plot.py +++ b/deltametrics/plot.py @@ -535,6 +535,7 @@ def get_display_arrays(VarInst, data=None): Three matching-size `ndarray` representing the 1) data, 2) display x-coordinates and 3) display y-coordinates. """ + import pdb; pdb.set_trace() # # # SectionVariables # # # if issubclass(type(VarInst), section.BaseSectionVariable): # # DataSection # # diff --git a/deltametrics/section.py b/deltametrics/section.py index dc584d3e..4cbe4d91 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -301,16 +301,22 @@ def __getitem__(self, var): """ if type(self.cube) is cube.DataCube: if self.cube._knows_stratigraphy: - return DataSectionVariable(_data=self.cube[var][:, self._y, self._x], + return DataSectionVariable(_data=self.cube[var].data[:, + self._y, + self._x], _s=self.s, _z=self.z, - _psvd_mask=self.cube.strat_attr.psvd_idx[ - :, self._y, self._x], - _strat_attr=self.cube.strat_attr('section', self._y, self._x)) + _psvd_mask=self.cube.strat_attr.psvd_idx[:, self._y, self._x], + _strat_attr=self.cube.strat_attr( + 'section', self._y, self._x)) else: - return DataSectionVariable(_data=self.cube[var].data[:, self._y, self._x], + return DataSectionVariable(_data=self.cube[var].data[:, + self._y, + self._x], _s=self.s, _z=self.z) elif type(self.cube) is cube.StratigraphyCube: - return StratigraphySectionVariable(_data=self.cube[var][:, self._y, self._x], + return StratigraphySectionVariable(_data=self.cube[var].data[:, + self._y, + self._x], _s=self.s, _z=self.z) elif self.cube is None: raise AttributeError( @@ -397,14 +403,16 @@ def show(self, SectionAttribute, style='shaded', data=None, if not ax: ax = plt.gca() _varinfo = self.cube.varset[SectionAttribute] if \ - issubclass(type(self.cube), cube.BaseCube) else plot.VariableSet()[SectionAttribute] + issubclass(type(self.cube), cube.BaseCube) else \ + plot.VariableSet()[SectionAttribute] SectionVariableInstance = self[SectionAttribute] # main routines for plot styles if style in ['shade', 'shaded']: _data, _X, _Y = plot.get_display_arrays(SectionVariableInstance, data=data) - ci = ax.pcolormesh(_X, _Y, _data, cmap=_varinfo.cmap, norm=_varinfo.norm, + ci = ax.pcolormesh(_X, _Y, _data, cmap=_varinfo.cmap, + norm=_varinfo.norm, vmin=_varinfo.vmin, vmax=_varinfo.vmax, rasterized=True, shading='auto') elif style in ['line', 'lines']: From b43829c5620a80e7e8c0f2e561fbb5e13e9f237d Mon Sep 17 00:00:00 2001 From: jay Date: Sat, 5 Sep 2020 18:50:51 -0400 Subject: [PATCH 04/28] minor tweaks... --- deltametrics/io.py | 3 ++- deltametrics/plot.py | 1 - deltametrics/section.py | 4 ++-- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/deltametrics/io.py b/deltametrics/io.py index b9bf9675..35ab0351 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -157,7 +157,8 @@ def connect(self): self.data_path, "w", format="NETCDF4") _tempdataset.close() - self.dataset = xr.open_dataset(self.data_path) + _dataset = xr.open_dataset(self.data_path) + self.dataset = _dataset.set_coords(['time', 'y', 'x']) def read(self, var): """Read variable from file and into memory. diff --git a/deltametrics/plot.py b/deltametrics/plot.py index c962de19..51a57533 100644 --- a/deltametrics/plot.py +++ b/deltametrics/plot.py @@ -535,7 +535,6 @@ def get_display_arrays(VarInst, data=None): Three matching-size `ndarray` representing the 1) data, 2) display x-coordinates and 3) display y-coordinates. """ - import pdb; pdb.set_trace() # # # SectionVariables # # # if issubclass(type(VarInst), section.BaseSectionVariable): # # DataSection # # diff --git a/deltametrics/section.py b/deltametrics/section.py index 4cbe4d91..6ba0ad4f 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -310,7 +310,7 @@ def __getitem__(self, var): 'section', self._y, self._x)) else: return DataSectionVariable(_data=self.cube[var].data[:, - self._y, + self.y, self._x], _s=self.s, _z=self.z) elif type(self.cube) is cube.StratigraphyCube: @@ -501,7 +501,7 @@ def __init__(self, *args, y=0): def _compute_section_coords(self): """Calculate coordinates of the strike section. """ - _nx = self.cube['eta'].data.shape[2] + _nx = self.cube['eta'].shape[2] self._x = np.arange(_nx) self._y = np.tile(self.y, (_nx)) From 1211f6b3be3e3f02dce8e93e99986586cde78292 Mon Sep 17 00:00:00 2001 From: jay Date: Sun, 6 Sep 2020 09:48:04 -0400 Subject: [PATCH 05/28] use arrays for sectioning --- deltametrics/section.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/deltametrics/section.py b/deltametrics/section.py index 6ba0ad4f..2c0ab700 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -301,7 +301,7 @@ def __getitem__(self, var): """ if type(self.cube) is cube.DataCube: if self.cube._knows_stratigraphy: - return DataSectionVariable(_data=self.cube[var].data[:, + return DataSectionVariable(_data=self.cube[var].data.values[:, self._y, self._x], _s=self.s, _z=self.z, @@ -309,12 +309,12 @@ def __getitem__(self, var): _strat_attr=self.cube.strat_attr( 'section', self._y, self._x)) else: - return DataSectionVariable(_data=self.cube[var].data[:, + return DataSectionVariable(_data=self.cube[var].data.values[:, self.y, self._x], _s=self.s, _z=self.z) elif type(self.cube) is cube.StratigraphyCube: - return StratigraphySectionVariable(_data=self.cube[var].data[:, + return StratigraphySectionVariable(_data=self.cube[var].data.values[:, self._y, self._x], _s=self.s, _z=self.z) From f17289d2591dfbee67d9ef6e05579765d0ee2b0d Mon Sep 17 00:00:00 2001 From: jay Date: Wed, 9 Sep 2020 22:41:34 -0400 Subject: [PATCH 06/28] Simplify IO for netCDF4/HDF5 handling --- deltametrics/cube.py | 6 ++-- deltametrics/io.py | 47 +++++++++++++++--------------- deltametrics/sample_data/cube.py | 2 +- docs/source/reference/io/index.rst | 7 ++--- 4 files changed, 30 insertions(+), 32 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 7cda6a83..bdbc5325 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -189,9 +189,9 @@ def _connect_to_file(self, data_path): """ _, ext = os.path.splitext(data_path) if ext == '.nc': - self._dataio = io.NetCDFIO(data_path) - elif ext == '.hf5': # ????? - self._dataio = io.HDFIO(data_path) + self._dataio = io.NetCDFIO(data_path, 'netcdf') + elif ext == '.hf5': + self._dataio = io.NetCDFIO(data_path, 'hdf5') else: raise ValueError( 'Invalid file extension for "data_path": %s' % data_path) diff --git a/deltametrics/io.py b/deltametrics/io.py index 35ab0351..c34b02de 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -39,13 +39,14 @@ class BaseIO(abc.ABC): methods ``connect``, ``read``, ``write``, and ``keys``. """ - def __init__(self, data_path, write): + def __init__(self, data_path, type, write): """Initialize the base IO. """ self.known_variables = known_variables() self.known_coords = known_coords() self.data_path = data_path + self.type = type self.write = write self.connect() @@ -111,15 +112,24 @@ def keys(self): class NetCDFIO(BaseIO): - """Utility for consistent IO with netCDF files. + """Utility for consistent IO with netCDF4 files. This module wraps calls to the netCDF4 python module in a consistent API, so the user can work seamlessly with either netCDF4 files or HDF5 files. The public methods of this class are consistent with :obj:`~deltametrics.utils.HDFIO`. + + Note that the netCDF4, netCDF4-classic, and HDF5 file standards are very + similar and (almost) interchangable. This means that the same data loader + can be used to handle these files. We use the `xarray` data reader which + supports the netCDF4/HDF5 file-format. + + Older file formats such as netCDF3 or HDF4 are unsupported. For more + information about the netCDF4 format, visit the netCDF4 + `docs `_. """ - def __init__(self, data_path, write=False): + def __init__(self, data_path, type, write=False): """Initialize the NetCDFIO handler. Initialize a connection to a NetCDF file. @@ -129,15 +139,18 @@ def __init__(self, data_path, write=False): data_path : `str` Path to file to read or write to. + type : `str` + Stores the type of output file loaded, either a netCDF4 file, + 'netcdf' or an HDF5 file, 'hdf5'. + write : `bool`, optional Whether to allow writing to an existing file. Set to False by default, if a file already exists at ``data_path``, writing is disabled, unless ``write`` is set to True. """ - super().__init__(data_path=data_path, write=write) + super().__init__(data_path=data_path, type=type, write=write) - self.type = 'netcdf' self._in_memory_data = {} def connect(self): @@ -157,8 +170,11 @@ def connect(self): self.data_path, "w", format="NETCDF4") _tempdataset.close() - _dataset = xr.open_dataset(self.data_path) - self.dataset = _dataset.set_coords(['time', 'y', 'x']) + try: + _dataset = xr.open_dataset(self.data_path) + self.dataset = _dataset.set_coords(['time', 'y', 'x']) + except Exception: + raise NotImplementedError def read(self, var): """Read variable from file and into memory. @@ -199,20 +215,3 @@ def keys(self): """Variable names in file. """ return [var for var in self.dataset.variables] - - -class HDFIO(BaseIO): - """Utility for consistent IO with HDF5 files. - - This module wraps calls to the hdf5 python module in a consistent API, - so the user can work seamlessly with either HDF5 files or netCDF4 files. - The public methods of this class are consistent with - :obj:`~deltametrics.utils.NetCDFIO`. - """ - - def __init__(self, data_path): - """Initialize the HDF5_IO handler - - parameters - """ - raise NotImplementedError diff --git a/deltametrics/sample_data/cube.py b/deltametrics/sample_data/cube.py index 92d6a842..3c5b87ba 100644 --- a/deltametrics/sample_data/cube.py +++ b/deltametrics/sample_data/cube.py @@ -37,7 +37,7 @@ import netCDF4 from .. import cube -from ..io import NetCDFIO, HDFIO +from ..io import NetCDFIO def tdb12(): diff --git a/docs/source/reference/io/index.rst b/docs/source/reference/io/index.rst index e218013b..9fa4e4be 100644 --- a/docs/source/reference/io/index.rst +++ b/docs/source/reference/io/index.rst @@ -6,10 +6,10 @@ Input/output file operations The package specifies several data input/output utilities. Typically, these utilities will not be interacted with directly, but rather are used by the :obj:`~deltametrics.cube.Cube` or :doc:`../section/index` to handle slicing. The IO utilities are data agnostic, that is to say, they do not care about what the data *are*, but instead just connect by variable names. Datasets commonly used are could be lidar scans, overhead photos, grain-size maps (DeltaRCM), or flow velocity (DeltaRCM). -By default, nothing is loaded from disk and into memory, and instead all slicing operations are handled on the fly. +By default, nothing is loaded from disk and into memory, and instead all slicing operations are handled on the fly. -The functions are defined in ``deltametrics.io``. +The functions are defined in ``deltametrics.io``. .. io functions @@ -17,9 +17,8 @@ The functions are defined in ``deltametrics.io``. .. currentmodule:: deltametrics.io -.. autosummary:: +.. autosummary:: :toctree: ../../_autosummary BaseIO NetCDFIO - HDFIO From 927e434dc4851ee20f17f4c8c027bf59950ba05b Mon Sep 17 00:00:00 2001 From: JayH Date: Thu, 10 Sep 2020 18:05:48 -0400 Subject: [PATCH 07/28] type check in io, more flexible x,y setting in cube --- deltametrics/cube.py | 17 ++++++++++++----- deltametrics/io.py | 9 +++++++-- 2 files changed, 19 insertions(+), 7 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index bdbc5325..a0143745 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -190,7 +190,7 @@ def _connect_to_file(self, data_path): _, ext = os.path.splitext(data_path) if ext == '.nc': self._dataio = io.NetCDFIO(data_path, 'netcdf') - elif ext == '.hf5': + elif ext == '.hdf5': self._dataio = io.NetCDFIO(data_path, 'hdf5') else: raise ValueError( @@ -203,10 +203,17 @@ def _read_meta_from_file(self): navigating the variable trees in the stored files. """ self._variables = self._dataio.keys - self._X = self._dataio['x'] # mesh grid of x values of cube - self._Y = self._dataio['y'] # mesh grid of y values of cube - self._x = np.copy(self._X[0, :].squeeze()) # array of x values of cube - self._y = np.copy(self._Y[:, 0].squeeze()) # array of y values of cube + # if x is 2-D then we assume x and y are mesh grid values + if np.ndim(self._dataio['x']) == 2: + self._X = self._dataio['x'] # mesh grid of x values of cube + self._Y = self._dataio['y'] # mesh grid of y values of cube + self._x = np.copy(self._X[0, :].squeeze()) # array of xval of cube + self._y = np.copy(self._Y[:, 0].squeeze()) # array of yval of cube + # if x is 1-D we do mesh-gridding + elif np.ndim(self._dataio['x']) == 1: + self._x = self._dataio['x'] # array of xval of cube + self._y = self._dataio['y'] # array of yval of cube + self._X, self._Y = np.meshgrid(self._x, self._y) # mesh grids x&y def read(self, variables): """Read variable into memory diff --git a/deltametrics/io.py b/deltametrics/io.py index c34b02de..18895559 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -2,6 +2,7 @@ import abc import os import sys +from warnings import warn import numpy as np import xarray as xr @@ -172,9 +173,13 @@ def connect(self): try: _dataset = xr.open_dataset(self.data_path) - self.dataset = _dataset.set_coords(['time', 'y', 'x']) + if 'time' and 'y' and 'x' in _dataset.variables: + self.dataset = _dataset.set_coords(['time', 'y', 'x']) + else: + warn('Dimensions "time", "y", and "x" not provided in the \ + given data file.', UserWarning) except Exception: - raise NotImplementedError + raise TypeError('File format out of scope for DeltaMetrics') def read(self, var): """Read variable from file and into memory. From b7de74bc87386ddb51b1a0ebd32461b774aca46f Mon Sep 17 00:00:00 2001 From: JayH Date: Fri, 11 Sep 2020 09:39:45 -0400 Subject: [PATCH 08/28] more flexible data shape assignment --- deltametrics/cube.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index a0143745..1316931e 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -512,7 +512,18 @@ def __init__(self, data, read=[], varset=None, stratigraphy_from=None): self._t = np.array(self._dataio['time'], copy=True) _, self._T, _ = np.meshgrid(self.y, self.t, self.x) - self._H, self._L, self._W = self['eta'].data.shape + + # get shape from a variable that is not x, y, or time + i = 0 + while i < len(self.variables): + if self.variables[i] == 'x' or self.variables[i] == 'y' \ + or self.variables[i] == 'time': + i += 1 + else: + _var = self.variables[i] + i = len(self.variables) + + self._H, self._L, self._W = self[_var].data.shape self._knows_stratigraphy = False From 18d0e39f4304be953268f10daff5aba0cfa0d4e4 Mon Sep 17 00:00:00 2001 From: JayH Date: Fri, 11 Sep 2020 20:39:19 -0400 Subject: [PATCH 09/28] alter tests for xarray accessor --- tests/test_cube.py | 3 +- tests/test_io.py | 16 ++-- tests/test_mask.py | 179 +++++++++++++++++++++++---------------------- tests/test_plot.py | 2 +- 4 files changed, 102 insertions(+), 98 deletions(-) diff --git a/tests/test_cube.py b/tests/test_cube.py index 850e84ac..3556355d 100644 --- a/tests/test_cube.py +++ b/tests/test_cube.py @@ -4,6 +4,7 @@ import os import numpy as np +import xarray as xr from deltametrics import cube @@ -76,7 +77,7 @@ def test_slice_op(self): slc = rcm8cube['eta'] assert type(slc) is cube.CubeVariable assert slc.ndim == 3 - assert type(slc.base) is np.ndarray + assert type(slc.data) is xr.core.dataarray.DataArray def test_slice_op_invalid_name(self): rcm8cube = cube.DataCube(rcm8_path) diff --git a/tests/test_io.py b/tests/test_io.py index 0c369965..9e1f886c 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -12,26 +12,26 @@ def test_netcdf_io_init(): - netcdf_io = io.NetCDFIO(data_path=rcm8_path) + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') assert netcdf_io.type == 'netcdf' assert len(netcdf_io._in_memory_data.keys()) == 0 def test_netcdf_io_keys(): - netcdf_io = io.NetCDFIO(data_path=rcm8_path) + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') assert len(netcdf_io.keys) == 11 def test_netcdf_io_nomemory(): - netcdf_io = io.NetCDFIO(data_path=rcm8_path) + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) inmemory_size = sys.getsizeof(netcdf_io._in_memory_data) var = 'velocity' - velocity_arr = netcdf_io.dataset[var][ - :, 10, :] # slice the dataset directly + # slice the dataset directly + velocity_arr = netcdf_io.dataset[var].data[:, 10, :] assert len(velocity_arr.shape) == 2 - assert type(velocity_arr) is np.ma.MaskedArray + assert type(velocity_arr) is np.ndarray dataset_size_after = sys.getsizeof(netcdf_io.dataset) inmemory_size_after = sys.getsizeof(netcdf_io._in_memory_data) @@ -42,7 +42,7 @@ def test_netcdf_io_nomemory(): @pytest.mark.xfail() def test_netcdf_io_intomemory_direct(): - netcdf_io = io.NetCDFIO(data_path=rcm8_path) + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) inmemory_size = sys.getsizeof(netcdf_io._in_memory_data) @@ -62,7 +62,7 @@ def test_netcdf_io_intomemory_direct(): @pytest.mark.xfail() def test_netcdf_io_intomemory_read(): - netcdf_io = io.NetCDFIO(data_path=rcm8_path) + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) inmemory_size = sys.getsizeof(netcdf_io._in_memory_data) diff --git a/tests/test_mask.py b/tests/test_mask.py index d0090950..543e04d8 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -19,7 +19,7 @@ class TestShorelineMask: def test_default_vals(self): """Test that default values are assigned.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert shoremask.topo_threshold == -0.5 assert shoremask.angle_threshold == 75 @@ -29,21 +29,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :], is_mask=True) # do assertion - assert np.all(shoremask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(shoremask.mask == rcm8cube['eta'].data[-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :], topo_threshold=-1.0, angle_threshold=100, numviews=5) @@ -55,7 +55,7 @@ def test_assign_vals(self): def test_shoreline(self): """Check for important variables and the final mask.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert np.array_equal(shoremask.mask, shoremask.mask.astype(bool)) is True @@ -66,7 +66,7 @@ def test_shoreline(self): def test_submergedLand(self): """Check what happens when there is no land above water.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'][0, :, :]) + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[0, :, :]) # assert - expect all values to be 0s assert np.all(shoremask.mask == 0) @@ -94,7 +94,7 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert landmask.topo_threshold == -0.5 assert landmask.angle_threshold == 75 @@ -104,21 +104,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], is_mask=True) # do assertion - assert np.all(landmask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(landmask.mask == rcm8cube['eta'].data[-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], angle_threshold=100, topo_threshold=-1.0, numviews=5) @@ -130,14 +130,14 @@ def test_assign_vals(self): def test_submergedLand(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) + landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) # assert - expect all values to be 1s assert np.all(landmask.mask == 1) def test_land(self): """Check for important variables and the final mask.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert np.array_equal(landmask.mask, landmask.mask.astype(bool)) is True @@ -147,8 +147,8 @@ def test_land(self): def test_givenshore(self): """Test that a ShoreMask can be passed into it.""" - shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], shoremask=shoremask) # make assertions assert hasattr(landmask, 'shoremask') is True @@ -161,7 +161,7 @@ def test_givenshore(self): def test_givenfakeshore(self): """Test that a bad shoreline mask doesn't break the function.""" shoremask = 'not a mask' - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], shoremask=shoremask) # make assertions assert hasattr(landmask, 'shoremask') is True @@ -190,7 +190,7 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert wetmask.topo_threshold == -0.5 assert wetmask.angle_threshold == 75 @@ -200,21 +200,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], is_mask=True) # do assertion - assert np.all(wetmask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(wetmask.mask == rcm8cube['eta'].data[-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], topo_threshold=-1.0, angle_threshold=100, numviews=5) @@ -226,7 +226,7 @@ def test_assign_vals(self): def test_land(self): """Check for important variables and the final mask.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert np.array_equal(wetmask.mask, wetmask.mask.astype(bool)) is True @@ -236,8 +236,8 @@ def test_land(self): def test_givenland(self): """Test that a LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], landmask=landmask) # make assertions assert hasattr(wetmask, 'landmask') is True @@ -249,7 +249,7 @@ def test_givenland(self): def test_givenfakeland(self): """Test that a bad land mask doesn't break function.""" landmask = 'not a mask' - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], landmask=landmask) # make assertions assert hasattr(wetmask, 'landmask') is True @@ -261,15 +261,16 @@ def test_givenfakeland(self): def test_submerged(self): """Check what happens when there is no land above water.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) # assert - expect all values to be 0s assert np.all(wetmask.mask == 0) def test_submerged_givenland(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'][0, :, :], landmask=landmask) + landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :], + landmask=landmask) # assert - expect all values to be 0s assert np.all(wetmask.mask == 0) @@ -292,8 +293,8 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) # make assertions assert channelmask.velocity_threshold == 0.3 assert channelmask.topo_threshold == -0.5 @@ -304,24 +305,24 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], is_mask=True) # do assertion - assert np.all(channelmask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(channelmask.mask == rcm8cube['eta'].data[-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], velocity_threshold=0.5, topo_threshold=-1.0, angle_threshold=100, @@ -335,8 +336,8 @@ def test_assign_vals(self): def test_imp_vars(self): """Check for important variables and the final mask.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) # make assertions assert np.array_equal(channelmask.mask, channelmask.mask.astype(bool)) is True @@ -347,9 +348,9 @@ def test_imp_vars(self): def test_givenland(self): """Test that a LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], landmask=landmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -363,8 +364,8 @@ def test_givenland(self): def test_givenfakeland(self): """Test that an improperly defined land mask still works.""" landmask = 'not a mask' - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], landmask=landmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -377,9 +378,9 @@ def test_givenfakeland(self): def test_givenwet(self): """Test that a WetMask can be passed into it.""" - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], wetmask=wetmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -392,8 +393,8 @@ def test_givenwet(self): def test_givenfakewet(self): """Test that an improperly defined wet mask still works.""" wetmask = 'not a mask' - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :], wetmask=wetmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -406,21 +407,21 @@ def test_givenfakewet(self): def test_submerged(self): """Check what happens when there is no land above water.""" # define zeros velocity array - velocity = np.zeros_like(rcm8cube['velocity'][0, :, :].__array__()) + velocity = np.zeros_like(rcm8cube['velocity'].data[0, :, :].__array__()) # define the mask channelmask = mask.ChannelMask(velocity, - rcm8cube['eta'][0, :, :]) + rcm8cube['eta'].data[0, :, :]) # assert - expect all values to be 0s assert np.all(channelmask.mask == 0) def test_submerged_givenland(self): """Check what happens when there is no land above water.""" # define zeros velocity array - velocity = np.zeros_like(rcm8cube['velocity'][0, :, :].__array__()) + velocity = np.zeros_like(rcm8cube['velocity'].data[0, :, :].__array__()) # define the mask - landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) + landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) channelmask = mask.ChannelMask(velocity, - rcm8cube['eta'][0, :, :], + rcm8cube['eta'].data[0, :, :], landmask=landmask) # assert - expect all values to be 0s assert np.all(channelmask.mask == 0) @@ -428,11 +429,11 @@ def test_submerged_givenland(self): def test_submerged_givenwet(self): """Check what happens when there is no land above water.""" # define zeros velocity array - velocity = np.zeros_like(rcm8cube['velocity'][0, :, :].__array__()) + velocity = np.zeros_like(rcm8cube['velocity'].data[0, :, :].__array__()) # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) channelmask = mask.ChannelMask(velocity, - rcm8cube['eta'][0, :, :], + rcm8cube['eta'].data[0, :, :], wetmask=wetmask) # assert - expect all values to be 0s assert np.all(channelmask.mask == 0) @@ -441,7 +442,7 @@ def test_invalidvelocity(self): """Raise TypeError if invalid velocity type is provided.""" with pytest.raises(TypeError): channelmask = mask.ChannelMask('bad_velocity', - rcm8cube['eta'][-1, :, :]) + rcm8cube['eta'].data[-1, :, :]) def test_3d(self): """Test with multiple time slices.""" @@ -463,7 +464,7 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert edgemask.topo_threshold == -0.5 assert edgemask.angle_threshold == 75 @@ -473,21 +474,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], is_mask=True) # do assertion - assert np.all(edgemask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(edgemask.mask == rcm8cube['eta'].data[-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], topo_threshold=-1.0, angle_threshold=100, numviews=5) @@ -499,7 +500,7 @@ def test_assign_vals(self): def test_imp_vars(self): """Check for important variables and the final mask.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :]) # make assertions assert np.array_equal(edgemask.mask, edgemask.mask.astype(bool)) is True @@ -509,8 +510,8 @@ def test_imp_vars(self): def test_givenland(self): """Test that a LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], landmask=landmask) # make assertions assert hasattr(edgemask, 'landmask') is True @@ -521,8 +522,8 @@ def test_givenland(self): def test_givenwet(self): """Test that a WetMask can be passed into it.""" - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], wetmask=wetmask) # make assertions assert hasattr(edgemask, 'landmask') is True @@ -533,9 +534,9 @@ def test_givenwet(self): def test_givenwetandland(self): """Test that a WetMask and LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], landmask=landmask, wetmask=wetmask) # make assertions @@ -549,7 +550,7 @@ def test_givenbadwetandland(self): """Test that a bad pair of wet and land masks can be passed in.""" landmask = 'bad land mask' wetmask = 'bad wet mask' - edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], landmask=landmask, wetmask=wetmask) # make assertions @@ -562,32 +563,34 @@ def test_givenbadwetandland(self): def test_submerged(self): """Check what happens when there is no land above water.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :]) # assert - expect all values to be 0s assert np.all(edgemask.mask == 0) def test_submerged_givenland(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :], landmask=landmask) + landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :], + landmask=landmask) # assert - expect all values to be 0s assert np.all(edgemask.mask == 0) def test_submerged_givenwet(self): """Check what happens when there is no land above water.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :], wetmask=wetmask) + wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :], + wetmask=wetmask) # assert - expect all values to be 0s assert np.all(edgemask.mask == 0) def test_submerged_givenboth(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :], + landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :], wetmask=wetmask, landmask=landmask) # assert - expect all values to be 0s @@ -645,8 +648,8 @@ def test_maskTrue(self): def test_passChannelMask(self): """Test that a ChannelMask object can be passed in.""" # define channel mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) # define the mask centerlinemask = mask.CenterlineMask(channelmask) # make assertions - check that mask is binary @@ -675,8 +678,8 @@ def test_3d(self): def test_rivamapDefaults(self): """Test rivamap extraction of centerlines.""" # define channel mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) # define the mask centerlinemask = mask.CenterlineMask(channelmask, method='rivamap', @@ -693,8 +696,8 @@ def test_rivamapDefaults(self): def test_rivamapCustom(self): """Test rivamap extraction of centerlines with custom values.""" # define channel mask - channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) # define the mask centerlinemask = mask.CenterlineMask(channelmask, method='rivamap', @@ -714,7 +717,7 @@ def test_rivamapCustom(self): def test_plotter(tmp_path): """Test the show() function.""" import matplotlib.pyplot as plt - shore_mask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) + shore_mask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) shore_mask.show() plt.savefig(tmp_path / 'mask_fig.png') plt.close() diff --git a/tests/test_plot.py b/tests/test_plot.py index bd33292a..d6e8f6cb 100644 --- a/tests/test_plot.py +++ b/tests/test_plot.py @@ -243,7 +243,7 @@ def test_sodttst_makes_plot_sample_data(self): locs = np.array([[48, 152], [8, 63], [14, 102], [92, 218], [102, 168], [26, 114], [62, 135], [61, 201], [65, 193], [23, 175]]) for i in range(10): - _e = rcm8cube['eta'][:, locs[i, 0], locs[i, 1]] + _e = rcm8cube['eta'].data[:, locs[i, 0], locs[i, 1]] fig, ax = plt.subplots() plot.show_one_dimensional_trajectory_to_strata(_e, ax=ax) plt.close() From 9432fdfa75d77eaad655d2018a62400890da754c Mon Sep 17 00:00:00 2001 From: JayH Date: Fri, 11 Sep 2020 20:40:58 -0400 Subject: [PATCH 10/28] io rearrange "known"-things, other small changes for xarray --- deltametrics/cube.py | 57 +++++------------------------------ deltametrics/io.py | 67 ++++++++++++++++++++++++----------------- deltametrics/plot.py | 4 ++- deltametrics/section.py | 4 +-- 4 files changed, 52 insertions(+), 80 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 1316931e..f5fde2d9 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -1,4 +1,5 @@ import os +import copy import warnings import time import abc @@ -54,6 +55,7 @@ def __init__(self, xarray_obj): def initialize(self, **kwargs): """Initialize with **kwargs.""" self.shape = self.data.shape + self.ndim = len(self.shape) variable = kwargs.pop('variable', None) self.variable = variable coords = kwargs.pop('coords', None) @@ -66,49 +68,6 @@ def as_frozen(self): """Export variable as `ndarray`.""" return self.data.values - # def __new__(cls, *args, **kwargs): - # """Initialize the ndarray. - # """ - # variable = kwargs.pop('variable', None) - # coords = kwargs.pop('coords', None) - # obj = np.array(*args, **kwargs) - # obj = np.asarray(obj).view(cls) - # obj.variable = variable - # if not coords: - # obj.t, obj.x, obj.y = [np.arange(l) for l in obj.shape] - # else: - # obj.t, obj.x, obj.y = coords['t'], coords['x'], coords['y'] - # return obj - # - # def __array_finalize__(self, obj): - # """Place things that must always happen here. - # - # This method is called when any new array is cast. The ``__new__`` - # method is not called when views are cast of an existing - # `CubeVariable`, so anything special about the `CubeVariable` needs to - # implemented here in addition to in ``__new__``. - # - # This method could be configured to return a standard ndarray if a view - # is cast, but currently, it will return another CubeVariable instance. - # """ - # if obj is None: - # return - # self.variable = getattr(obj, 'variable', None) - # self.t, self.x, self.y = getattr(obj, 'coords', range(3)) - # - # def __repr__(self): - # """Lighterweight repr - # """ - # if self.size > 5000: - # return str(type(self)) + ' variable: `' + self.variable \ - # + '`; dtype: ' + str(self.dtype) + ' size: ' + str(self.size) - # else: - # return str(self) - # - # def as_frozen(self): - # """Export variable as `ndarray`.""" - # return self.view(np.ndarray) - class BaseCube(abc.ABC): """Base cube object. @@ -403,8 +362,7 @@ def export_frozen_variable(self, var, return_cube=False): if return_cube: raise NotImplementedError else: - return self.values - # return self.__getitem__(var).view(np.ndarray) + return self[var].data def show_cube(self, var, t=-1, x=-1, y=-1, ax=None): """Show the cube in a 3d axis. @@ -688,22 +646,23 @@ def __init__(self, data, read=[], varset=None, supplied, a new default VariableSet instance is created. """ super().__init__(data, read, varset) - if isinstance(data, str): raise NotImplementedError('Precomputed NetCDF?') elif isinstance(data, np.ndarray): raise NotImplementedError('Precomputed numpy array?') elif isinstance(data, DataCube): # i.e., creating from a DataCube - _elev = np.array(self.dataio[stratigraphy_from], copy=True) + _elev = copy.deepcopy(data[stratigraphy_from]) # set up coordinates of the array - self._z = strat._determine_strat_coordinates(_elev, dz=dz) + self._z = strat._determine_strat_coordinates(_elev.data, dz=dz) self._H = len(self.z) self._L, self._W = _elev.shape[1:] self._Z = np.tile(self.z, (self.W, self.L, 1)).T - _out = strat.compute_boxy_stratigraphy_coordinates(_elev, z=self.z, return_strata=True) + _out = strat.compute_boxy_stratigraphy_coordinates(_elev.data, + z=self.z, + return_strata=True) self.strata_coords, self.data_coords, self.strata = _out else: raise TypeError('No other input types implemented yet.') diff --git a/deltametrics/io.py b/deltametrics/io.py index 18895559..caf8d88c 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -9,28 +9,6 @@ import netCDF4 -def known_variables(): - """A list of known variables. - - These variables are common variables we anticipate being present in all - sorts of use-cases. Each one is given a set of default parameters in - :obj:`~deltametrics.plot.VariableSet`. - """ - return ['eta', 'stage', 'depth', 'discharge', - 'velocity', 'strata_sand_frac'] - - -def known_coords(): - """A list of known coordinates. - - These coordinates are commonly defined coordinate matricies that may be - stored inside of a file on disk. We don't treat these any differently in - the io wrappers, but knowing they are coordinates can be helpful. - """ - - return ['x', 'y', 'time'] - - class BaseIO(abc.ABC): """BaseIO object other file format wrappers inheririt from. @@ -43,15 +21,15 @@ class BaseIO(abc.ABC): def __init__(self, data_path, type, write): """Initialize the base IO. """ - self.known_variables = known_variables() - self.known_coords = known_coords() - self.data_path = data_path self.type = type self.write = write self.connect() + self.get_known_coords() + self.get_known_variables() + @property def data_path(self): """`str` : Path to data file. @@ -63,8 +41,8 @@ def data_path(self): Notes ----- - The setter method validates the path, and returns a ``FileNotFoundError`` if - the file is not found. + The setter method validates the path, and returns a + ``FileNotFoundError`` if the file is not found. """ return self._data_path @@ -84,6 +62,22 @@ def connect(self): """ return + @abc.abstractmethod + def get_known_variables(self): + """Should create list of known variables. + + This function needs to populate `self.known_variables`. + """ + return + + @abc.abstractmethod + def get_known_coords(self): + """A list of known coordinates. + + This function needs to populate `self.known_coords`. + """ + return + @abc.abstractmethod def read(self): """Should read data into memory. @@ -173,18 +167,34 @@ def connect(self): try: _dataset = xr.open_dataset(self.data_path) + if 'time' and 'y' and 'x' in _dataset.variables: self.dataset = _dataset.set_coords(['time', 'y', 'x']) else: warn('Dimensions "time", "y", and "x" not provided in the \ given data file.', UserWarning) + except Exception: raise TypeError('File format out of scope for DeltaMetrics') + def get_known_variables(self): + """List known variables. + + These variables are pulled from the loaded dataset. + """ + self.known_variables = list(self.dataset.variables) + + def get_known_coords(self): + """List known coordinates. + + These coordinates are pulled from the loaded dataset. + """ + self.known_coords = list(self.dataset.coords) + def read(self, var): """Read variable from file and into memory. - Converts `variables` in netCDF file to `xarray` objects for coersion + Converts `variables` in data file to `xarray` objects for coersion into a :obj:`~deltametrics.cube.Cube` instance. Parameters @@ -196,6 +206,7 @@ def read(self, var): _arr = self.dataset[var] except ValueError as e: raise e + self._in_memory_data[var] = _arr.load() def write(self): diff --git a/deltametrics/plot.py b/deltametrics/plot.py index 51a57533..2c5a0256 100644 --- a/deltametrics/plot.py +++ b/deltametrics/plot.py @@ -228,7 +228,9 @@ def __init__(self, override_dict=None): """ _added_list = ['net_to_gross'] - self.known_list = io.known_variables() + io.known_coords() + _added_list + self.known_list = ['eta', 'stage', 'depth', 'discharge', + 'velocity', 'strata_sand_frac'] + \ + ['x', 'y', 'time'] + _added_list for var in self.known_list: # set to defaults defined below (or None if no default) diff --git a/deltametrics/section.py b/deltametrics/section.py index 2c0ab700..94d1e399 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -314,7 +314,7 @@ def __getitem__(self, var): self._x], _s=self.s, _z=self.z) elif type(self.cube) is cube.StratigraphyCube: - return StratigraphySectionVariable(_data=self.cube[var].data.values[:, + return StratigraphySectionVariable(_data=self.cube[var][:, self._y, self._x], _s=self.s, _z=self.z) @@ -501,7 +501,7 @@ def __init__(self, *args, y=0): def _compute_section_coords(self): """Calculate coordinates of the strike section. """ - _nx = self.cube['eta'].shape[2] + _nx = self.cube.shape[2] self._x = np.arange(_nx) self._y = np.tile(self.y, (_nx)) From 943e56c0d45baa1aa39ec38ad3a842acae0927a9 Mon Sep 17 00:00:00 2001 From: JayH Date: Sat, 12 Sep 2020 15:56:39 -0400 Subject: [PATCH 11/28] addtl io tests --- tests/test_io.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/tests/test_io.py b/tests/test_io.py index 9e1f886c..9bfa09a7 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -78,3 +78,16 @@ def test_netcdf_io_intomemory_read(): assert dataset_size == dataset_size_after assert inmemory_size < inmemory_size_after assert sys.getsizeof(_arr) > 1000 + + +def test_nofile(): + with pytest.raises(FileNotFoundError): + io.NetCDFIO('badpath', 'netcdf') + + +def test_readvar_intomemory(): + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') + assert netcdf_io._in_memory_data == {} + + netcdf_io.read('eta') + assert ('eta' in netcdf_io._in_memory_data.keys()) is True From dffd541dc2f1996ed8fdd261104403ac75701ced Mon Sep 17 00:00:00 2001 From: JayH Date: Sat, 12 Sep 2020 15:58:49 -0400 Subject: [PATCH 12/28] make stratacube[var] a cubevariable, proper access for cube["x"] and cube["y"] --- deltametrics/cube.py | 11 ++++------- deltametrics/io.py | 2 +- deltametrics/section.py | 4 ++-- deltametrics/strat.py | 20 ++++++++++---------- tests/test_cube.py | 11 ++++++----- tests/test_strat.py | 33 ++++++++++++++++++++------------- 6 files changed, 43 insertions(+), 38 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index f5fde2d9..0bfc3bc3 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -504,22 +504,19 @@ def __getitem__(self, var): CubeVariable : `~deltametrics.cube.CubeVariable` The instantiated CubeVariable. """ - if var == 'time': + if var == 'time' or var == 'x' or var == 'y': # a special attribute we add, which matches eta.shape _coords = {} _coords['t'] = self.T _coords['x'] = self.X _coords['y'] = self.Y _obj = self._dataio.dataset[var].cubevar - _obj.initialize(variable='time', coords=_coords) + _obj.initialize(variable=var, coords=_coords) return _obj - # return CubeVariable(np.tile(_t, (1, *self.shape[1:])), - # variable='time') elif var in self._variables: _obj = self._dataio.dataset[var].cubevar _obj.initialize(variable=var) return _obj - # return CubeVariable(self.dataio[var], variable=var) else: raise AttributeError('No variable of {cube} named {var}'.format( cube=str(self), var=var)) @@ -701,8 +698,8 @@ def __getitem__(self, var): self.data_coords[:, 2]] _arr[self.strata_coords[:, 0], self.strata_coords[:, 1], self.strata_coords[:, 2]] = _cut - _obj = xr.DataArray(_arr) - _obj.cubevar.initialize(variable=var) + _obj = xr.DataArray(_arr).cubevar + _obj.initialize(variable=var) return _obj @property diff --git a/deltametrics/io.py b/deltametrics/io.py index caf8d88c..d4f5a3e9 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -169,7 +169,7 @@ def connect(self): _dataset = xr.open_dataset(self.data_path) if 'time' and 'y' and 'x' in _dataset.variables: - self.dataset = _dataset.set_coords(['time', 'y', 'x']) + self.dataset = _dataset.set_coords(['time', 'y', 'x']) else: warn('Dimensions "time", "y", and "x" not provided in the \ given data file.', UserWarning) diff --git a/deltametrics/section.py b/deltametrics/section.py index 94d1e399..d45eb4de 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -314,8 +314,8 @@ def __getitem__(self, var): self._x], _s=self.s, _z=self.z) elif type(self.cube) is cube.StratigraphyCube: - return StratigraphySectionVariable(_data=self.cube[var][:, - self._y, + return StratigraphySectionVariable(_data=self.cube[var].data.values[:, + self.y, self._x], _s=self.s, _z=self.z) elif self.cube is None: diff --git a/deltametrics/strat.py b/deltametrics/strat.py index 1b09e843..3a78612c 100644 --- a/deltametrics/strat.py +++ b/deltametrics/strat.py @@ -252,7 +252,7 @@ def __init__(self, elev, **kwargs): """ super().__init__('mesh') - _eta = np.copy(elev) + _eta = np.copy(elev.data) _strata, _psvd = _compute_elevation_to_preservation(_eta) _psvd[0, ...] = True self.strata = _strata @@ -378,13 +378,13 @@ def _compute_elevation_to_preservation(elev): To determine whether time from a given *timestep* is preserved, use ``psvd.nonzero()[0] - 1``. """ - psvd = np.zeros_like(elev, dtype=np.bool) # bool, if retained - strata = np.zeros_like(elev) # elev of surface at each t + psvd = np.zeros_like(elev.data, dtype=np.bool) # bool, if retained + strata = np.zeros_like(elev.data) # elev of surface at each t nt = strata.shape[0] - strata[-1, ...] = elev[-1, ...] + strata[-1, ...] = elev.data.values[-1, ...] for j in np.arange(nt - 2, -1, -1): - strata[j, ...] = np.minimum(elev[j, ...], + strata[j, ...] = np.minimum(elev.data.values[j, ...], strata[j + 1, ...]) psvd[j + 1, ...] = np.less(strata[j, ...], strata[j + 1, ...]) @@ -534,7 +534,7 @@ def _determine_strat_coordinates(elev, z=None, dz=None, nz=None): ``np.arange(np.min(elev), np.max(elev)+dz, step=dz)``. nz : :obj:`int`, optional - Number of intervals in `z`. Z array is created as + Number of intervals in `z`. Z array is created as ``np.linspace(np.min(elev), np.max(elev), num=nz, endpoint=True)``. """ if (dz is None) and (z is None) and (nz is None): @@ -548,14 +548,14 @@ def _determine_strat_coordinates(elev, z=None, dz=None, nz=None): elif not (dz is None): if dz <= 0: raise _valerr - max_dos = np.max(elev) + dz # max depth of section, meters - min_dos = np.min(elev) # min dos, meters + max_dos = np.max(elev.data) + dz # max depth of section, meters + min_dos = np.min(elev.data) # min dos, meters return np.arange(min_dos, max_dos, step=dz) elif not (nz is None): if nz <= 0: raise _valerr - max_dos = np.max(elev) - min_dos = np.min(elev) + max_dos = np.max(elev.data) + min_dos = np.min(elev.data) return np.linspace(min_dos, max_dos, num=nz, endpoint=True) else: raise RuntimeError('No coordinates determined. Check inputs.') diff --git a/tests/test_cube.py b/tests/test_cube.py index 3556355d..a9ba7cdf 100644 --- a/tests/test_cube.py +++ b/tests/test_cube.py @@ -293,13 +293,14 @@ class TestFrozenStratigraphyCube: 'time') def test_types(self): - assert isinstance(self.frozenstratigraphycube, np.ndarray) + assert isinstance(self.frozenstratigraphycube, + xr.core.dataarray.DataArray) def test_matches_underlying_data(self): assert not self.frozenstratigraphycube is self.fixedstratigraphycube - frzn_log = self.frozenstratigraphycube[ - ~np.isnan(self.frozenstratigraphycube)] - fixd_log = self.fixedstratigraphycube['time'][ - ~np.isnan(self.fixedstratigraphycube['time'])] + frzn_log = self.frozenstratigraphycube.values[ + ~np.isnan(self.frozenstratigraphycube.values)] + fixd_log = self.fixedstratigraphycube['time'].data.values[ + ~np.isnan(self.fixedstratigraphycube['time'].data.values)] assert frzn_log.shape == fixd_log.shape assert np.all(fixd_log == frzn_log) diff --git a/tests/test_strat.py b/tests/test_strat.py index fa64ed6e..a0fb85cc 100644 --- a/tests/test_strat.py +++ b/tests/test_strat.py @@ -3,6 +3,7 @@ import sys import os import numpy as np +import xarray as xr from deltametrics import cube from deltametrics import strat @@ -19,14 +20,18 @@ class TestComputeBoxyStratigraphyVolume: time = rcm8cube['time'] def test_returns_volume_and_elevations(self): - s, e = strat.compute_boxy_stratigraphy_volume(self.elev, self.time, dz=0.05) + s, e = strat.compute_boxy_stratigraphy_volume(self.elev, + self.time, + dz=0.05) assert s.ndim == 3 assert s.shape == e.shape assert e[1,0,0] - e[0,0,0] == pytest.approx(0.05) def test_returns_volume_and_elevations_given_z(self): z = np.linspace(-20, 500, 200) - s, e = strat.compute_boxy_stratigraphy_volume(self.elev, self.time, z=z) + s, e = strat.compute_boxy_stratigraphy_volume(self.elev, + self.time, + z=z) assert s.ndim == 3 assert s.shape == e.shape assert np.all(e[:,0,0] == z) @@ -34,22 +39,23 @@ def test_returns_volume_and_elevations_given_z(self): @pytest.mark.xfail(raises=NotImplementedError, strict=True, reason='Not yet developed.') def test_return_cube(self): s, e = strat.compute_boxy_stratigraphy_volume(self.elev, self.time, - dz=0.05, return_cube=True) + dz=0.05, + return_cube=True) def test_lessthan3d_error(self): with pytest.raises(ValueError, match=r'Input arrays must be three-dimensional.'): - strat.compute_boxy_stratigraphy_volume(self.elev[:, 10, 120].squeeze(), - self.time[:, 10, 120].squeeze(), + strat.compute_boxy_stratigraphy_volume(self.elev.data[:, 10, 120].squeeze(), + self.time.data[:, 10, 120].squeeze(), dz=0.05) with pytest.raises(ValueError, match=r'Input arrays must be three-dimensional.'): - strat.compute_boxy_stratigraphy_volume(self.elev[:, 10, :].squeeze(), - self.time[:, 10, :].squeeze(), + strat.compute_boxy_stratigraphy_volume(self.elev.data[:, 10, :].squeeze(), + self.time.data[:, 10, :].squeeze(), dz=0.05) def test_bad_shape_error(self): with pytest.raises(ValueError, match=r'Input arrays must be three-dimensional.'): - strat.compute_boxy_stratigraphy_volume(self.elev[:, 10, 120].squeeze(), - self.time[:, 10, 120].squeeze(), + strat.compute_boxy_stratigraphy_volume(self.elev.data[:, 10, 120].squeeze(), + self.time.data[:, 10, 120].squeeze(), dz=0.05) def test_no_z_options(self): @@ -88,7 +94,7 @@ def test_return_cube(self): def test_no_z_options(self): with pytest.raises(ValueError, match=r'You must specify "z", "dz", or "nz.'): - strat.compute_boxy_stratigraphy_coordinates(self.elev[:, 10, 120].squeeze()) + strat.compute_boxy_stratigraphy_coordinates(self.elev.data[:, 10, 120].squeeze()) class TestComputeElevationToPreservation: @@ -265,14 +271,15 @@ def test_onedim_traj_upsanddowns(self): assert c[0] == 1 def test_onedim_traj_upsanddowns_negatives(self): - e = np.array([0, 0, -1, -4, -2, 3, 3.5, 3, 3, 4, 4]) - # e = np.expand_dims(e, axis=(1,2)) + # e = np.array([0, 0, -1, -4, -2, 3, 3.5, 3, 3, 4, 4]) + e_xr = xr.DataArray([0, 0, -1, -4, -2, 3, 3.5, 3, 3, 4, 4]) + e = e_xr.cubevar z = strat._determine_strat_coordinates(e, dz=0.5) # vert coordinates s, p = strat._compute_elevation_to_preservation(e) # strat and preservation sc, dc = strat._compute_preservation_to_cube(s, z) c = self.take_var_time(s, z, sc, dc) assert np.all(p.nonzero()[0] == (4, 5, 9)) - + class TestDetermineStratCoordinates: From edd7a2fb82d1d7817e4d4af42d2bdb9458780273 Mon Sep 17 00:00:00 2001 From: jay Date: Sun, 13 Sep 2020 21:26:38 -0400 Subject: [PATCH 13/28] crude fixes to work with api / rough 3d plot via pyvista --- deltametrics/cube.py | 49 +++++++++++++++++++++++++++----------- deltametrics/strat.py | 55 +++++++++++++++++++++++++++++++------------ 2 files changed, 75 insertions(+), 29 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 0bfc3bc3..1122679d 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -24,9 +24,10 @@ class CubeVariable(): """Slice of a Cube. Slicing an :obj:`~deltametrics.cube.Cube` returns an object of this type. - The ``CubeVariable`` is essentially a thin wrapper around the numpy - ``ndarray``, enabling additional iniformation to be augmented, a - lighter-weight __repr__, and flexibility for development. + The ``CubeVariable`` is an accessor of the `xarray.DataArray` class, + enabling additional functions to be added to the object, while retaining + the `xarray` object and it's native functionality under + ``CubeVariable.data``. .. warning:: You probably should not instantiate objects of this type directly. @@ -41,8 +42,8 @@ class CubeVariable(): >>> type(rcm8cube['velocity']) - >>> type(rcm8cube['velocity'].base) - + >>> type(rcm8cube['velocity'].data) + >>> rcm8cube['velocity'].variable 'velocity' @@ -65,7 +66,7 @@ def initialize(self, **kwargs): self.t, self.x, self.y = coords['t'], coords['x'], coords['y'] def as_frozen(self): - """Export variable as `ndarray`.""" + """Export variable values as a `numpy.ndarray`.""" return self.data.values @@ -175,7 +176,7 @@ def _read_meta_from_file(self): self._X, self._Y = np.meshgrid(self._x, self._y) # mesh grids x&y def read(self, variables): - """Read variable into memory + """Read variable into memory. Parameters ---------- @@ -213,7 +214,8 @@ def varset(self, var): def data_path(self): """:obj:`str` : Path connected to for file IO. - Returns a string if connected to file, or None if cube initialized from ``dict``. + Returns a string if connected to file, or None if cube initialized + from ``dict``. """ return self._data_path @@ -366,8 +368,19 @@ def export_frozen_variable(self, var, return_cube=False): def show_cube(self, var, t=-1, x=-1, y=-1, ax=None): """Show the cube in a 3d axis. + + 3d visualization via `pyvista`. + + .. warning:: + Implementation is crude and should be revisited. """ - raise NotImplementedError + try: + import pyvista as pv + except ImportError: + ImportError('3d plotting dependency, pyvista, was not found.') + + _grid = pv.wrap(self[var].data.values) + _grid.plot() def show_plan(self, var, t=-1, ax=None, title=None, ticks=False): """Show planform image. @@ -505,18 +518,26 @@ def __getitem__(self, var): The instantiated CubeVariable. """ if var == 'time' or var == 'x' or var == 'y': - # a special attribute we add, which matches eta.shape + # ensure coords can be called by cube[var] _coords = {} _coords['t'] = self.T _coords['x'] = self.X _coords['y'] = self.Y - _obj = self._dataio.dataset[var].cubevar + if var == 'time': # special case for time + _t = np.expand_dims(self.dataio.dataset['time'].values, + axis=(1, 2)) + _xrt = xr.DataArray(np.tile(_t, (1, *self.shape[1:]))) + _obj = _xrt.cubevar + else: + _obj = self._dataio.dataset[var].cubevar _obj.initialize(variable=var, coords=_coords) return _obj + elif var in self._variables: _obj = self._dataio.dataset[var].cubevar _obj.initialize(variable=var) return _obj + else: raise AttributeError('No variable of {cube} named {var}'.format( cube=str(self), var=var)) @@ -541,11 +562,11 @@ def stratigraphy_from(self, variable='eta', style='mesh', **kwargs): """ if style == 'mesh': self.strat_attr = \ - strat.MeshStratigraphyAttributes(elev=self[variable].data, + strat.MeshStratigraphyAttributes(elev=self[variable], **kwargs) elif style == 'boxy': self.strat_attr = \ - strat.BoxyStratigraphyAttributes(elev=self[variable].data, + strat.BoxyStratigraphyAttributes(elev=self[variable], **kwargs) else: raise ValueError('Bad "style" argument supplied: %s' % str(style)) @@ -657,7 +678,7 @@ def __init__(self, data, read=[], varset=None, self._L, self._W = _elev.shape[1:] self._Z = np.tile(self.z, (self.W, self.L, 1)).T - _out = strat.compute_boxy_stratigraphy_coordinates(_elev.data, + _out = strat.compute_boxy_stratigraphy_coordinates(_elev, z=self.z, return_strata=True) self.strata_coords, self.data_coords, self.strata = _out diff --git a/deltametrics/strat.py b/deltametrics/strat.py index 3a78612c..8bfa471d 100644 --- a/deltametrics/strat.py +++ b/deltametrics/strat.py @@ -1,6 +1,8 @@ import abc +import copy import numpy as np +import xarray as xr from scipy import stats import matplotlib.pyplot as plt @@ -88,9 +90,11 @@ def compute_boxy_stratigraphy_volume(elev, prop, dz=None, z=None, # copy data out and into the stratigraphy based on coordinates nx, ny = strata.shape[1:] stratigraphy = np.full((len(z), nx, ny), np.nan) # preallocate nans - _cut = prop[data_coords[:, 0], data_coords[:, 1], data_coords[:, 2]] - stratigraphy[strata_coords[:, 0], strata_coords[ - :, 1], strata_coords[:, 2]] = _cut + _cut = prop.data.values[data_coords[:, 0], data_coords[:, 1], + data_coords[:, 2]] + stratigraphy[strata_coords[:, 0], + strata_coords[:, 1], + strata_coords[:, 2]] = _cut elevations = np.tile(z, (ny, nx, 1)).T @@ -252,7 +256,7 @@ def __init__(self, elev, **kwargs): """ super().__init__('mesh') - _eta = np.copy(elev.data) + _eta = copy.deepcopy(elev) _strata, _psvd = _compute_elevation_to_preservation(_eta) _psvd[0, ...] = True self.strata = _strata @@ -272,9 +276,9 @@ def __init__(self, elev, **kwargs): *_eta.shape[1:]), np.nan) for i in np.arange(_eta.shape[1]): for j in np.arange(_eta.shape[2]): - self.psvd_vxl_eta[0:self.psvd_vxl_cnt[i, j], i, j] = _eta[ + self.psvd_vxl_eta[0:self.psvd_vxl_cnt[i, j], i, j] = _eta.data[ self.psvd_idx[:, i, j], i, j].copy() - self.psvd_flld[0:self.psvd_vxl_cnt[i, j], i, j] = _eta[ + self.psvd_flld[0:self.psvd_vxl_cnt[i, j], i, j] = _eta.data[ self.psvd_idx[:, i, j], i, j].copy() self.psvd_flld[self.psvd_vxl_cnt[i, j]:, i, j] = self.psvd_flld[ self.psvd_vxl_cnt[i, j] - 1, i, j] @@ -382,15 +386,36 @@ def _compute_elevation_to_preservation(elev): strata = np.zeros_like(elev.data) # elev of surface at each t nt = strata.shape[0] - strata[-1, ...] = elev.data.values[-1, ...] - for j in np.arange(nt - 2, -1, -1): - strata[j, ...] = np.minimum(elev.data.values[j, ...], - strata[j + 1, ...]) - psvd[j + 1, ...] = np.less(strata[j, ...], - strata[j + 1, ...]) - if nt > 1: # allows a single-time elevation-series to return - psvd[0, ...] = np.less(strata[0, ...], - strata[1, ...]) + if isinstance(elev, np.ndarray) is True: + strata[-1, ...] = elev[-1, ...] + for j in np.arange(nt - 2, -1, -1): + strata[j, ...] = np.minimum(elev[j, ...], + strata[j + 1, ...]) + psvd[j + 1, ...] = np.less(strata[j, ...], + strata[j + 1, ...]) + if nt > 1: # allows a single-time elevation-series to return + psvd[0, ...] = np.less(strata[0, ...], + strata[1, ...]) + elif isinstance(elev, xr.core.dataarray.DataArray) is True: + strata[-1, ...] = elev.values[-1, ...] + for j in np.arange(nt - 2, -1, -1): + strata[j, ...] = np.minimum(elev.values[j, ...], + strata[j + 1, ...]) + psvd[j + 1, ...] = np.less(strata[j, ...], + strata[j + 1, ...]) + if nt > 1: # allows a single-time elevation-series to return + psvd[0, ...] = np.less(strata[0, ...], + strata[1, ...]) + else: + strata[-1, ...] = elev.data.values[-1, ...] + for j in np.arange(nt - 2, -1, -1): + strata[j, ...] = np.minimum(elev.data.values[j, ...], + strata[j + 1, ...]) + psvd[j + 1, ...] = np.less(strata[j, ...], + strata[j + 1, ...]) + if nt > 1: # allows a single-time elevation-series to return + psvd[0, ...] = np.less(strata[0, ...], + strata[1, ...]) return strata, psvd From f082bd2681da3e7b4f8f2766e6ca320c1426d9e9 Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 19 Oct 2020 17:13:57 -0400 Subject: [PATCH 14/28] rebase --- deltametrics/cube.py | 8 +++++- deltametrics/io.py | 6 +++-- deltametrics/section.py | 4 ++- docs/source/guides/10min.rst | 27 +++++++++++-------- ...omparing_speeds_of_stratigraphy_access.rst | 4 +-- docs/source/guides/userguide.rst | 26 ++++++++---------- .../pyplots/guides/userguide_1d_example.py | 2 +- .../guides/userguide_bed_elevation_change.py | 2 +- .../guides/userguide_bed_timeseries.py | 2 +- .../guides/userguide_masks_all_demo.py | 12 ++++----- docs/source/pyplots/mask/centerlinemask.py | 4 +-- docs/source/pyplots/mask/channelmask.py | 4 +-- docs/source/pyplots/mask/edgemask.py | 2 +- docs/source/pyplots/mask/landmask.py | 2 +- docs/source/pyplots/mask/shoremask.py | 2 +- docs/source/pyplots/mask/wetmask.py | 2 +- 16 files changed, 59 insertions(+), 50 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 1122679d..4ec0b39e 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -162,7 +162,8 @@ def _read_meta_from_file(self): This method is used internally to gather some useful info for navigating the variable trees in the stored files. """ - self._variables = self._dataio.keys + self._coords = self._dataio.known_coords + self._variables = self._dataio.known_variables # if x is 2-D then we assume x and y are mesh grid values if np.ndim(self._dataio['x']) == 2: self._X = self._dataio['x'] # mesh grid of x values of cube @@ -225,6 +226,11 @@ def dataio(self): """ return self._dataio + @property + def coords(self): + """`list` : List of coordinate names as strings.""" + return self._coords + @property def variables(self): """`list` : List of variable names as strings. diff --git a/deltametrics/io.py b/deltametrics/io.py index d4f5a3e9..bb5fd277 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -169,7 +169,7 @@ def connect(self): _dataset = xr.open_dataset(self.data_path) if 'time' and 'y' and 'x' in _dataset.variables: - self.dataset = _dataset.set_coords(['time', 'y', 'x']) + self.dataset = _dataset.set_coords(['time', 'y', 'x']) else: warn('Dimensions "time", "y", and "x" not provided in the \ given data file.', UserWarning) @@ -182,7 +182,9 @@ def get_known_variables(self): These variables are pulled from the loaded dataset. """ - self.known_variables = list(self.dataset.variables) + _vars = list(self.dataset.variables) + _coords = list(self.dataset.coords) + ['strata_age', 'strata_depth'] + self.known_variables = [item for item in _vars if item not in _coords] def get_known_coords(self): """List known coordinates. diff --git a/deltametrics/section.py b/deltametrics/section.py index d45eb4de..c116b543 100644 --- a/deltametrics/section.py +++ b/deltametrics/section.py @@ -305,7 +305,9 @@ def __getitem__(self, var): self._y, self._x], _s=self.s, _z=self.z, - _psvd_mask=self.cube.strat_attr.psvd_idx[:, self._y, self._x], + _psvd_mask=self.cube.strat_attr.psvd_idx[:, + self._y, + self._x], _strat_attr=self.cube.strat_attr( 'section', self._y, self._x)) else: diff --git a/docs/source/guides/10min.rst b/docs/source/guides/10min.rst index cd63e453..2e424fb1 100644 --- a/docs/source/guides/10min.rst +++ b/docs/source/guides/10min.rst @@ -13,7 +13,7 @@ For a more in depth guide, be sure to check out the :doc:`userguide`. All of the documentation in this package assumes that you have imported the DeltaMetrics package as ``dm``: .. doctest:: - + >>> import deltametrics as dm Additionally, we frequently rely on the `numpy` package, and `matplotlib`. We will assume you have imported these packages by their common shorthand as well; if we import other packages, or other modules from `matplotlib`, these imports will be declared! @@ -27,7 +27,7 @@ Additionally, we frequently rely on the `numpy` package, and `matplotlib`. We wi Connect to data =============== -In your application, you will want to connect to a your own dataset, but more on that later. +In your application, you will want to connect to a your own dataset, but more on that later. For now, let's use a sample dataset that is distributed with DeltaMetrics. .. doctest:: @@ -45,8 +45,8 @@ Inspect which variables are available in the ``rcm8cube``. .. doctest:: >>> rcm8cube.variables - ['x', 'y', 'time', 'eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_age', 'strata_sand_frac', 'strata_depth'] - + ['eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_sand_frac'] + Accessing data from a DataCube ============================== @@ -59,18 +59,23 @@ Slicing a cube returns an instance of :obj:`~deltametrics.cube.CubeVariable`, wh >>> type(rcm8cube['velocity']) - >>> type(rcm8cube['velocity'].base) - + >>> type(rcm8cube['velocity'].data) + For example, we could determine how much the average bed elevation change at a specific location in the model domain (43, 123), by slicing the ``eta`` variable, and differencing timesteps. .. doctest:: - >>> np.mean( rcm8cube['eta'][1:,43,123] - rcm8cube['eta'][:-1,43,123] ) - 0.08364895 + >>> np.mean( rcm8cube['eta'].data[1:,43,123] - rcm8cube['eta'].data[:-1,43,123] ) + + array(0.08364895, dtype=float32) + Coordinates: + x float32 123.0 + y float32 43.0 + -The DataCube is often used by taking horizontal or vertical "cuts" of the cube. -In this package, we refer to horizontal cuts as "plans" (`Planform` data) and vertical cuts as "sections" (`Section` data). +The DataCube is often used by taking horizontal or vertical "cuts" of the cube. +In this package, we refer to horizontal cuts as "plans" (`Planform` data) and vertical cuts as "sections" (`Section` data). The :doc:`Planform <../reference/plan/index>` and :doc:`Section <../reference/section/index>` data types have a series of helpful classes and functions, which are fully documented in their respective pages. @@ -106,7 +111,7 @@ Section data We are often interested in not only the spatiotemporal changes in the planform of the delta, but we want to know what is preserved in the subsurface. In DeltaMetrics, we refer to this preserved history as the "stratigraphy", and we provide a number of convenient routines for computing stratigraphy and analyzing the deposits. -Importantly, the stratigraphy (or i.e., which voxels are preserved) is not computed by default when a Cube instance is created. +Importantly, the stratigraphy (or i.e., which voxels are preserved) is not computed by default when a Cube instance is created. We must directly tell the Cube instance to compute stratigraphy by specifying which variable contains the bed elevation history, because this history dictates preservation. .. doctest:: diff --git a/docs/source/guides/examples/computations/comparing_speeds_of_stratigraphy_access.rst b/docs/source/guides/examples/computations/comparing_speeds_of_stratigraphy_access.rst index a33c95b2..b17705dc 100644 --- a/docs/source/guides/examples/computations/comparing_speeds_of_stratigraphy_access.rst +++ b/docs/source/guides/examples/computations/comparing_speeds_of_stratigraphy_access.rst @@ -23,7 +23,7 @@ Keeping data on disk is advantageous for large datasets, but slows down access c >>> # time extraction from the underlying DataCube data on disk >>> start2 = time.time() >>> for _ in range(100): - ... _val = sc8cube['strata_sand_frac'][10:20, 31:35, -1:-30:-2] + ... _val = sc8cube['strata_sand_frac'].data[10:20, 31:35, -1:-30:-2] >>> end2 = time.time() >>> print("Elapsed time for frozen cube: ", end1-start1, " seconds") #doctest: +SKIP @@ -32,5 +32,3 @@ Keeping data on disk is advantageous for large datasets, but slows down access c Elapsed time for on-disk cube: 7.14995002746582 seconds >>> print("Speed difference: ", (end2-start2)/(end1-start1), " times faster") #doctest: +SKIP Speed difference: 61705.89300411523 times faster - - \ No newline at end of file diff --git a/docs/source/guides/userguide.rst b/docs/source/guides/userguide.rst index e3d53f57..0446ae69 100644 --- a/docs/source/guides/userguide.rst +++ b/docs/source/guides/userguide.rst @@ -63,16 +63,13 @@ Inspect which variables are available in the ``rcm8cube``. .. doctest:: >>> rcm8cube.variables - ['x', 'y', 'time', 'eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_age', 'strata_sand_frac', 'strata_depth'] + ['eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_sand_frac'] We can access the underlying variables by name. The returned object are numpy-like arrays with coordinates ``t-x-y``. For example, access variables as: .. doctest:: - >>> rcm8cube['eta'] - variable: `eta`; dtype: float32 size: 1468800 - >>> type(rcm8cube['eta']) >>> rcm8cube['eta'].shape @@ -87,7 +84,7 @@ Let’s examine the timeseries of bed elevations by taking slices out of the ``' >>> fig, ax = plt.subplots(1, nt, figsize=(12, 2)) >>> for i, t in enumerate(ts): - ... ax[i].imshow(rcm8cube['eta'][t, :, :], vmin=-5, vmax=0.5) #doctest: +SKIP + ... ax[i].imshow(rcm8cube['eta'].data[t, :, :], vmin=-5, vmax=0.5) #doctest: +SKIP ... ax[i].set_title('t = ' + str(t)) #doctest: +SKIP ... ax[i].axes.get_xaxis().set_ticks([]) #doctest: +SKIP ... ax[i].axes.get_yaxis().set_ticks([]) #doctest: +SKIP @@ -107,7 +104,7 @@ For example: .. doctest:: >>> # compute the change in bed elevation between the last two intervals above - >>> diff_time = rcm8cube['eta'][ts[-1], ...] - rcm8cube['eta'][ts[-2], ...] + >>> diff_time = rcm8cube['eta'].data[ts[-1], ...] - rcm8cube['eta'].data[ts[-2], ...] >>> fig, ax = plt.subplots(figsize=(5, 3)) >>> im = ax.imshow(diff_time, cmap='RdBu', vmax=abs(diff_time).max(), vmin=-abs(diff_time).max()) @@ -331,7 +328,6 @@ Here’s a simple example to demonstrate how we place data into the stratigraphy .. doctest:: >>> ets = rcm8cube['eta'][:, 25, 120] # a "real" slice of the model - >>> fig, ax = plt.subplots(figsize=(8, 4)) >>> dm.plot.show_one_dimensional_trajectory_to_strata(ets, ax=ax, dz=0.25) >>> plt.show() #doctest: +SKIP @@ -345,7 +341,7 @@ Begin by creating a ``StratigraphyCube``: >>> sc8cube = dm.cube.StratigraphyCube.from_DataCube(rcm8cube, dz=0.05) >>> sc8cube.variables - ['x', 'y', 'time', 'eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_age', 'strata_sand_frac', 'strata_depth'] + ['eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_sand_frac'] We can then slice this cube in the same way as the ``DataCube``, but what we get back is *stratigraphy* rather than *spacetime*. @@ -447,7 +443,7 @@ We should verify that the frozen cubes actually match the underlying data! .. doctest:: - >>> np.all( fs[~np.isnan(fs)] == sc8cube['strata_sand_frac'][~np.isnan(sc8cube['strata_sand_frac'])] ) + >>> np.all( fs[~np.isnan(fs)] == sc8cube['strata_sand_frac'][~np.isnan(sc8cube['strata_sand_frac'])] ) #doctest: +SKIP True The access speed of a frozen volume is **much** faster than a live cube. @@ -481,12 +477,12 @@ Currently implemented `Masks`: >>> maskcube = dm.sample_data.cube.rcm8() >>> # create the masks from variables in the cube - >>> land_mask = dm.mask.LandMask(maskcube['eta'][-1, :, :]) - >>> wet_mask = dm.mask.WetMask(maskcube['eta'][-1, :, :]) - >>> channel_mask = dm.mask.ChannelMask(maskcube['velocity'][-1, :, :], maskcube['eta'][-1, :, :]) + >>> land_mask = dm.mask.LandMask(maskcube['eta'].data[-1, :, :]) + >>> wet_mask = dm.mask.WetMask(maskcube['eta'].data[-1, :, :]) + >>> channel_mask = dm.mask.ChannelMask(maskcube['velocity'].data[-1, :, :], maskcube['eta'].data[-1, :, :]) >>> centerline_mask = dm.mask.CenterlineMask(channel_mask) - >>> edge_mask = dm.mask.EdgeMask(maskcube['eta'][-1, :, :]) - >>> shore_mask = dm.mask.ShorelineMask(maskcube['eta'][-1, :, :]) + >>> edge_mask = dm.mask.EdgeMask(maskcube['eta'].data[-1, :, :]) + >>> shore_mask = dm.mask.ShorelineMask(maskcube['eta'].data[-1, :, :]) .. doctest:: @@ -495,7 +491,7 @@ Currently implemented `Masks`: >>> ax0 = fig.add_subplot(spec[0, :]) >>> axs = [fig.add_subplot(spec[i, j]) for i, j in zip(np.repeat(np.arange(1, 4), 2), np.tile(np.arange(2), (4,)))] - >>> ax0.imshow(maskcube['eta'][-1, :, :]) #doctest: +SKIP + >>> ax0.imshow(maskcube['eta'].data[-1, :, :]) #doctest: +SKIP >>> for i, m in enumerate([land_mask, wet_mask, channel_mask, centerline_mask, edge_mask, shore_mask]): ... axs[i].imshow(m.mask[-1, :, :], cmap='gray') #doctest: +SKIP ... axs[i].set_title(m.mask_type) #doctest: +SKIP diff --git a/docs/source/pyplots/guides/userguide_1d_example.py b/docs/source/pyplots/guides/userguide_1d_example.py index 6f0c5618..9a6eb2d4 100644 --- a/docs/source/pyplots/guides/userguide_1d_example.py +++ b/docs/source/pyplots/guides/userguide_1d_example.py @@ -1,6 +1,6 @@ rcm8cube = dm.sample_data.cube.rcm8() -ets = rcm8cube['eta'][:, 25, 120] # a "real" slice of the model +ets = rcm8cube['eta'].data[:, 25, 120] # a "real" slice of the model fig, ax = plt.subplots(figsize=(8, 4)) dm.plot.show_one_dimensional_trajectory_to_strata(ets, ax=ax, dz=0.25) diff --git a/docs/source/pyplots/guides/userguide_bed_elevation_change.py b/docs/source/pyplots/guides/userguide_bed_elevation_change.py index 06a4d81a..bca81af9 100644 --- a/docs/source/pyplots/guides/userguide_bed_elevation_change.py +++ b/docs/source/pyplots/guides/userguide_bed_elevation_change.py @@ -4,7 +4,7 @@ ts = np.linspace(0, rcm8cube['eta'].shape[0]-1, num=nt, dtype=np.int) # compute the change in bed elevation between the last two intervals above -diff_time = rcm8cube['eta'][ts[-1], ...] - rcm8cube['eta'][ts[-2], ...] +diff_time = rcm8cube['eta'].data[ts[-1], ...] - rcm8cube['eta'].data[ts[-2], ...] fig, ax = plt.subplots(figsize=(5, 3)) im = ax.imshow(diff_time, cmap='RdBu', vmax=abs(diff_time).max(), diff --git a/docs/source/pyplots/guides/userguide_bed_timeseries.py b/docs/source/pyplots/guides/userguide_bed_timeseries.py index ce5e174a..fd0afab1 100644 --- a/docs/source/pyplots/guides/userguide_bed_timeseries.py +++ b/docs/source/pyplots/guides/userguide_bed_timeseries.py @@ -5,7 +5,7 @@ fig, ax = plt.subplots(1, nt, figsize=(12, 2)) for i, t in enumerate(ts): - ax[i].imshow(rcm8cube['eta'][t, :, :], vmin=-5, vmax=0.5) + ax[i].imshow(rcm8cube['eta'].data[t, :, :], vmin=-5, vmax=0.5) ax[i].set_title('t = ' + str(t)) ax[i].axes.get_xaxis().set_ticks([]) ax[i].axes.get_yaxis().set_ticks([]) diff --git a/docs/source/pyplots/guides/userguide_masks_all_demo.py b/docs/source/pyplots/guides/userguide_masks_all_demo.py index 6b389178..c4e44c1e 100644 --- a/docs/source/pyplots/guides/userguide_masks_all_demo.py +++ b/docs/source/pyplots/guides/userguide_masks_all_demo.py @@ -2,19 +2,19 @@ rcm8cube = dm.sample_data.cube.rcm8() -land_mask = dm.mask.LandMask(rcm8cube['eta'][-1, :, :]) -wet_mask = dm.mask.WetMask(rcm8cube['eta'][-1, :, :]) -channel_mask = dm.mask.ChannelMask(rcm8cube['velocity'][-1, :, :], rcm8cube['eta'][-1, :, :]) +land_mask = dm.mask.LandMask(rcm8cube['eta'].data[-1, :, :]) +wet_mask = dm.mask.WetMask(rcm8cube['eta'].data[-1, :, :]) +channel_mask = dm.mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], rcm8cube['eta'].data[-1, :, :]) centerline_mask = dm.mask.CenterlineMask(channel_mask) -edge_mask = dm.mask.EdgeMask(rcm8cube['eta'][-1, :, :]) -shore_mask = dm.mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) +edge_mask = dm.mask.EdgeMask(rcm8cube['eta'].data[-1, :, :]) +shore_mask = dm.mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) fig = plt.figure(constrained_layout=True, figsize=(12, 10)) spec = gs.GridSpec(ncols=2, nrows=4, figure=fig) ax0 = fig.add_subplot(spec[0, :]) axs = [fig.add_subplot(spec[i, j]) for i, j in zip(np.repeat( np.arange(1, 4), 2), np.tile(np.arange(2), (4,)))] -ax0.imshow(rcm8cube['eta'][-1, :, :]) +ax0.imshow(rcm8cube['eta'].data[-1, :, :]) for i, m in enumerate([land_mask, wet_mask, channel_mask, centerline_mask, edge_mask, shore_mask]): diff --git a/docs/source/pyplots/mask/centerlinemask.py b/docs/source/pyplots/mask/centerlinemask.py index 48e5a4e4..ccc406dc 100644 --- a/docs/source/pyplots/mask/centerlinemask.py +++ b/docs/source/pyplots/mask/centerlinemask.py @@ -4,7 +4,7 @@ from deltametrics.mask import CenterlineMask rcm8cube = dm.sample_data.cube.rcm8() -channel_mask = ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) +channel_mask = ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) centerline_mask = CenterlineMask(channel_mask) centerline_mask.show() diff --git a/docs/source/pyplots/mask/channelmask.py b/docs/source/pyplots/mask/channelmask.py index 5ae43fd7..d779b658 100644 --- a/docs/source/pyplots/mask/channelmask.py +++ b/docs/source/pyplots/mask/channelmask.py @@ -3,6 +3,6 @@ from deltametrics.mask import ChannelMask rcm8cube = dm.sample_data.cube.rcm8() -channel_mask = ChannelMask(rcm8cube['velocity'][-1, :, :], - rcm8cube['eta'][-1, :, :]) +channel_mask = ChannelMask(rcm8cube['velocity'].data[-1, :, :], + rcm8cube['eta'].data[-1, :, :]) channel_mask.show() diff --git a/docs/source/pyplots/mask/edgemask.py b/docs/source/pyplots/mask/edgemask.py index 0335f5e0..8dd86678 100644 --- a/docs/source/pyplots/mask/edgemask.py +++ b/docs/source/pyplots/mask/edgemask.py @@ -3,5 +3,5 @@ from deltametrics.mask import EdgeMask rcm8cube = dm.sample_data.cube.rcm8() -edge_mask = EdgeMask(rcm8cube['eta'][-1, :, :]) +edge_mask = EdgeMask(rcm8cube['eta'].data[-1, :, :]) edge_mask.show() diff --git a/docs/source/pyplots/mask/landmask.py b/docs/source/pyplots/mask/landmask.py index cc369527..ee9af9e8 100644 --- a/docs/source/pyplots/mask/landmask.py +++ b/docs/source/pyplots/mask/landmask.py @@ -3,5 +3,5 @@ from deltametrics.mask import LandMask rcm8cube = dm.sample_data.cube.rcm8() -land_mask = LandMask(rcm8cube['eta'][-1, :, :]) +land_mask = LandMask(rcm8cube['eta'].data[-1, :, :]) land_mask.show() diff --git a/docs/source/pyplots/mask/shoremask.py b/docs/source/pyplots/mask/shoremask.py index fc6ae321..f580bfec 100644 --- a/docs/source/pyplots/mask/shoremask.py +++ b/docs/source/pyplots/mask/shoremask.py @@ -3,5 +3,5 @@ from deltametrics.mask import ShorelineMask rcm8cube = dm.sample_data.cube.rcm8() -shore_mask = ShorelineMask(rcm8cube['eta'][-1, :, :]) +shore_mask = ShorelineMask(rcm8cube['eta'].data[-1, :, :]) shore_mask.show() diff --git a/docs/source/pyplots/mask/wetmask.py b/docs/source/pyplots/mask/wetmask.py index bd584ee0..7ba7fadb 100644 --- a/docs/source/pyplots/mask/wetmask.py +++ b/docs/source/pyplots/mask/wetmask.py @@ -3,5 +3,5 @@ from deltametrics.mask import WetMask rcm8cube = dm.sample_data.cube.rcm8() -wet_mask = WetMask(rcm8cube['eta'][-1, :, :]) +wet_mask = WetMask(rcm8cube['eta'].data[-1, :, :]) wet_mask.show() From cdcae67b70b50a3ed6adb8a388ef630e04cbaadb Mon Sep 17 00:00:00 2001 From: jay Date: Tue, 15 Sep 2020 12:24:57 -0400 Subject: [PATCH 15/28] remove slow copy.deepcopy and use built-in xarray.copy instead --- deltametrics/strat.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/deltametrics/strat.py b/deltametrics/strat.py index 8bfa471d..bd2efdca 100644 --- a/deltametrics/strat.py +++ b/deltametrics/strat.py @@ -1,6 +1,5 @@ import abc -import copy import numpy as np import xarray as xr from scipy import stats @@ -256,7 +255,7 @@ def __init__(self, elev, **kwargs): """ super().__init__('mesh') - _eta = copy.deepcopy(elev) + _eta = elev.data.copy() _strata, _psvd = _compute_elevation_to_preservation(_eta) _psvd[0, ...] = True self.strata = _strata From c26f5533578866bb1b8720e00b4114972fbdb2ac Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 19 Oct 2020 17:15:01 -0400 Subject: [PATCH 16/28] rebase pt2 --- .coveragerc | 7 +++++ deltametrics/io.py | 1 + tests/test_io.py | 19 +++++++++++-- tests/test_utils.py | 69 ++++++++++++++++++++++++++++++++++++++++++++- tests/utilities.py | 32 +++++++++++++++++++++ 5 files changed, 124 insertions(+), 4 deletions(-) create mode 100644 .coveragerc create mode 100644 tests/utilities.py diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 00000000..67ec305f --- /dev/null +++ b/.coveragerc @@ -0,0 +1,7 @@ +[run] +source = deltametrics + +omit = + *__init__* + */sample_data/* + *_version* diff --git a/deltametrics/io.py b/deltametrics/io.py index bb5fd277..5fec2a57 100644 --- a/deltametrics/io.py +++ b/deltametrics/io.py @@ -171,6 +171,7 @@ def connect(self): if 'time' and 'y' and 'x' in _dataset.variables: self.dataset = _dataset.set_coords(['time', 'y', 'x']) else: + self.dataset = _dataset.set_coords([]) warn('Dimensions "time", "y", and "x" not provided in the \ given data file.', UserWarning) diff --git a/tests/test_io.py b/tests/test_io.py index 9bfa09a7..9576127b 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -4,8 +4,10 @@ import os import numpy as np +import xarray as xr from deltametrics import io +import utilities rcm8_path = os.path.join(os.path.dirname(__file__), '..', 'deltametrics', 'sample_data', 'files', 'pyDeltaRCM_Output_8.nc') @@ -40,7 +42,6 @@ def test_netcdf_io_nomemory(): assert inmemory_size == inmemory_size_after -@pytest.mark.xfail() def test_netcdf_io_intomemory_direct(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) @@ -60,7 +61,6 @@ def test_netcdf_io_intomemory_direct(): assert sys.getsizeof(_arr) > 1000 -@pytest.mark.xfail() def test_netcdf_io_intomemory_read(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) @@ -72,12 +72,13 @@ def test_netcdf_io_intomemory_read(): assert len(netcdf_io._in_memory_data.keys()) == 1 _arr = netcdf_io._in_memory_data[var] + assert isinstance(_arr, xr.core.dataarray.DataArray) + dataset_size_after = sys.getsizeof(netcdf_io.dataset) inmemory_size_after = sys.getsizeof(netcdf_io._in_memory_data) assert dataset_size == dataset_size_after assert inmemory_size < inmemory_size_after - assert sys.getsizeof(_arr) > 1000 def test_nofile(): @@ -85,6 +86,18 @@ def test_nofile(): io.NetCDFIO('badpath', 'netcdf') +def test_empty_file(tmp_path): + p = utilities.create_dummy_netcdf(tmp_path) + with pytest.warns(UserWarning): + io.NetCDFIO(p, 'netcdf') + + +def test_invalid_file(tmp_path): + p = utilities.create_dummy_txt_file(tmp_path) + with pytest.raises(TypeError): + io.NetCDFIO(p, 'netcdf') + + def test_readvar_intomemory(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') assert netcdf_io._in_memory_data == {} diff --git a/tests/test_utils.py b/tests/test_utils.py index 6764a25b..9b178e57 100644 --- a/tests/test_utils.py +++ b/tests/test_utils.py @@ -27,7 +27,6 @@ def test_obj_and_var(self): raise utils.NoStratigraphyError('someobj', 'somevar') - chmap = np.zeros((5, 4, 4)) # define time = 0 chmap[0, :, 1] = 1 @@ -89,3 +88,71 @@ def test_exponential_fit(): [0.01139969, 0.08422946, 0.01327807]])) assert pytest.approx(err == np.array([0.29009757, 0.77392321, 0.11523053])) + + +def test_format_number_float(): + _val = float(5.2) + _fnum = utils.format_number(_val) + assert _fnum == '10' + + _val = float(50.2) + _fnum = utils.format_number(_val) + assert _fnum == '50' + + _val = float(15.0) + _fnum = utils.format_number(_val) + assert _fnum == '20' + + +def test_format_number_int(): + _val = int(5) + _fnum = utils.format_number(_val) + assert _fnum == '0' + + _val = int(6) + _fnum = utils.format_number(_val) + assert _fnum == '10' + + _val = int(52) + _fnum = utils.format_number(_val) + assert _fnum == '50' + + _val = int(15) + _fnum = utils.format_number(_val) + assert _fnum == '20' + + +def test_format_table_float(): + _val = float(5.2) + _fnum = utils.format_table(_val) + assert _fnum == '5.2' + + _val = float(50.2) + _fnum = utils.format_table(_val) + assert _fnum == '50.2' + + _val = float(15.0) + _fnum = utils.format_table(_val) + assert _fnum == '15.0' + + _val = float(15.03689) + _fnum = utils.format_table(_val) + assert _fnum == '15.0' + + _val = float(15.0689) + _fnum = utils.format_table(_val) + assert _fnum == '15.1' + + +def test_format_table_float(): + _val = int(5) + _fnum = utils.format_table(_val) + assert _fnum == '5' + + _val = int(5.8) + _fnum = utils.format_table(_val) + assert _fnum == '5' + + _val = int(5.2) + _fnum = utils.format_table(_val) + assert _fnum == '5' diff --git a/tests/utilities.py b/tests/utilities.py new file mode 100644 index 00000000..bd78b4bd --- /dev/null +++ b/tests/utilities.py @@ -0,0 +1,32 @@ +import sys +import os + +import pytest +import netCDF4 + + +def create_dummy_netcdf(tmp_path): + """Create blank NetCDF4 file.""" + d = tmp_path / 'netcdf_files' + try: + d.mkdir() + except Exception: + pass + p = d / 'dummy.nc' + f = netCDF4.Dataset(p, "w", format="NETCDF4") + f.createVariable('test', 'f4') + f.close() + return p + + +def create_dummy_txt_file(tmp_path): + """Create a dummy text file.""" + d = tmp_path / 'txt_files' + try: + d.mkdir() + except Exception: + pass + p = d / 'dummy.txt' + _fobj = open(p, 'x') + _fobj.close() + return p From 5a998af6f4501ac274ddec5f133604d11c324ceb Mon Sep 17 00:00:00 2001 From: jay Date: Tue, 15 Sep 2020 15:22:17 -0400 Subject: [PATCH 17/28] minor rollbacks --- deltametrics/utils.py | 2 +- tests/test_io.py | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/deltametrics/utils.py b/deltametrics/utils.py index a2e0157a..b2e2aee8 100644 --- a/deltametrics/utils.py +++ b/deltametrics/utils.py @@ -106,7 +106,7 @@ class AttributeChecker(object): the function works as ``hasattr(self, attr)``, where ``attr`` is the attribute of interest. - The benefit of this methos over ``hasattr`` is that this method optionally + The benefit of this method over ``hasattr`` is that this method optionally takes a list of arguments, and returns a well-formatted error message, to help explain which attribute is necessary for a given operation. """ diff --git a/tests/test_io.py b/tests/test_io.py index 9576127b..b38c3357 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -24,6 +24,7 @@ def test_netcdf_io_keys(): assert len(netcdf_io.keys) == 11 +@pytest.mark.xfail() def test_netcdf_io_nomemory(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) @@ -42,6 +43,7 @@ def test_netcdf_io_nomemory(): assert inmemory_size == inmemory_size_after +@pytest.mark.xfail() def test_netcdf_io_intomemory_direct(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) From de5c4a677c4f8238195ea46241b657405e4d6f75 Mon Sep 17 00:00:00 2001 From: jay Date: Tue, 15 Sep 2020 15:32:56 -0400 Subject: [PATCH 18/28] marked the wrong test --- tests/test_io.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_io.py b/tests/test_io.py index b38c3357..ddda4214 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -24,7 +24,6 @@ def test_netcdf_io_keys(): assert len(netcdf_io.keys) == 11 -@pytest.mark.xfail() def test_netcdf_io_nomemory(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) @@ -63,6 +62,7 @@ def test_netcdf_io_intomemory_direct(): assert sys.getsizeof(_arr) > 1000 +@pytest.mark.xfail() def test_netcdf_io_intomemory_read(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') dataset_size = sys.getsizeof(netcdf_io.dataset) From 9186aebb730dcefc06a0ebc86771b4e106cff13f Mon Sep 17 00:00:00 2001 From: JayH Date: Wed, 16 Sep 2020 17:40:49 -0400 Subject: [PATCH 19/28] add small hdf5 example and corresponding tests --- deltametrics/cube.py | 2 +- deltametrics/io.py | 2 +- deltametrics/sample_data/files/LandsatEx.hdf5 | Bin 0 -> 3489496 bytes tests/test_cube.py | 40 ++++++++++++++++++ tests/test_io.py | 23 ++++++++++ 5 files changed, 65 insertions(+), 2 deletions(-) create mode 100644 deltametrics/sample_data/files/LandsatEx.hdf5 diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 4ec0b39e..c7263906 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -185,7 +185,7 @@ def read(self, variables): Which variables to read into memory. 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class TestDataCubeNoStratigraphy: @@ -304,3 +308,39 @@ def test_matches_underlying_data(self): ~np.isnan(self.fixedstratigraphycube['time'].data.values)] assert frzn_log.shape == fixd_log.shape assert np.all(fixd_log == frzn_log) + + +class TestLandsatCube: + + landsatcube = cube.DataCube(hdf_path) + + def test_init_cube_from_path_hdf5(self): + hdfcube = cube.DataCube(hdf_path) + assert hdfcube._data_path == hdf_path + assert hdfcube.dataio.type == 'hdf5' + assert hdfcube._plan_set == {} + assert hdfcube._section_set == {} + assert type(hdfcube.varset) is plot.VariableSet + + def test_read_Blue_intomemory(self): + assert self.landsatcube._dataio._in_memory_data == {} + assert self.landsatcube.variables == ['Blue', 'Green', 'NIR', 'Red'] + assert len(self.landsatcube.variables) == 4 + + self.landsatcube.read('Blue') + assert len(self.landsatcube.dataio._in_memory_data) == 1 + + def test_read_all_intomemory(self): + assert self.landsatcube.variables == ['Blue', 'Green', 'NIR', 'Red'] + assert len(self.landsatcube.variables) == 4 + + self.landsatcube.read(True) + assert len(self.landsatcube.dataio._in_memory_data) == 4 + + def test_read_invalid(self): + with pytest.raises(TypeError): + self.landsatcube.read(5) + + def test_get_coords(self): + assert self.landsatcube.coords == ['time', 'x', 'y'] + assert self.landsatcube._coords == ['time', 'x', 'y'] diff --git a/tests/test_io.py b/tests/test_io.py index ddda4214..0b3a6a67 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -12,6 +12,10 @@ rcm8_path = os.path.join(os.path.dirname(__file__), '..', 'deltametrics', 'sample_data', 'files', 'pyDeltaRCM_Output_8.nc') +hdf_path = os.path.join(os.path.dirname(__file__), '..', 'deltametrics', + 'sample_data', 'files', + 'LandsatEx.hdf5') + def test_netcdf_io_init(): netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') @@ -83,6 +87,17 @@ def test_netcdf_io_intomemory_read(): assert inmemory_size < inmemory_size_after +def test_hdf5_io_init(): + netcdf_io = io.NetCDFIO(hdf_path, 'hdf5') + assert netcdf_io.type == 'hdf5' + assert len(netcdf_io._in_memory_data.keys()) == 0 + + +def test_hdf5_io_keys(): + hdf5_io = io.NetCDFIO(hdf_path, 'hdf5') + assert len(hdf5_io.keys) == 7 + + def test_nofile(): with pytest.raises(FileNotFoundError): io.NetCDFIO('badpath', 'netcdf') @@ -106,3 +121,11 @@ def test_readvar_intomemory(): netcdf_io.read('eta') assert ('eta' in netcdf_io._in_memory_data.keys()) is True + + +def test_readvar_intomemory_error(): + netcdf_io = io.NetCDFIO(rcm8_path, 'netcdf') + assert netcdf_io._in_memory_data == {} + + with pytest.raises(KeyError): + netcdf_io.read('nonexistant') From 29a4807181ccc7af5b56bc6d3e0a22c1f4844926 Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 28 Sep 2020 20:41:40 -0400 Subject: [PATCH 20/28] minor doc switches to reference xarray instead of numpy --- docs/source/guides/10min.rst | 4 ++-- docs/source/guides/userguide.rst | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/source/guides/10min.rst b/docs/source/guides/10min.rst index 2e424fb1..8f8eae31 100644 --- a/docs/source/guides/10min.rst +++ b/docs/source/guides/10min.rst @@ -52,7 +52,7 @@ Accessing data from a DataCube ============================== A :obj:`~deltametrics.cube.DataCube` can be sliced directly by variable name. -Slicing a cube returns an instance of :obj:`~deltametrics.cube.CubeVariable`, which is a numpy ``ndarray`` compatible object; this means that it can be manipulated exactly as a standard ``ndarray``, supporting any arbitrary math. +Slicing a cube returns an instance of :obj:`~deltametrics.cube.CubeVariable`, which is an xarray "accessor"; this means that it contains an xarray object in addition to custom functions. .. doctest:: @@ -62,7 +62,7 @@ Slicing a cube returns an instance of :obj:`~deltametrics.cube.CubeVariable`, wh >>> type(rcm8cube['velocity'].data) -For example, we could determine how much the average bed elevation change at a specific location in the model domain (43, 123), by slicing the ``eta`` variable, and differencing timesteps. +The underlying xarray object is accessible using the ``.data`` nomenclature. For example, we could determine how much the average bed elevation change at a specific location in the model domain (43, 123), by slicing the ``eta`` variable, and differencing timesteps. .. doctest:: diff --git a/docs/source/guides/userguide.rst b/docs/source/guides/userguide.rst index 0446ae69..10b56948 100644 --- a/docs/source/guides/userguide.rst +++ b/docs/source/guides/userguide.rst @@ -65,7 +65,7 @@ Inspect which variables are available in the ``rcm8cube``. >>> rcm8cube.variables ['eta', 'stage', 'depth', 'discharge', 'velocity', 'strata_sand_frac'] -We can access the underlying variables by name. The returned object are numpy-like arrays with coordinates ``t-x-y``. +We can access the underlying variables by name. The returned object are xarray-accessors with coordinates ``t-x-y``. For example, access variables as: .. doctest:: @@ -98,7 +98,7 @@ Let’s examine the timeseries of bed elevations by taking slices out of the ``' The 0th dimension of the cube is the *time* dimension, and the 1st and 2nd dimensions are the `y` and `x` dimensions of the model domain, respectively. The `x` dimension is the *cross-channel* dimension, Implementations using non-standard data should permute datasets to match this convention. -The CubeVariable supports arbitrary math (all using `numpy` for fast computations!). +The CubeVariable supports arbitrary math (using `xarray` for fast computations via CubeVariable.data syntax). For example: .. doctest:: From d0c3a27b7935d7ac556d19e820664bab22dc2ac6 Mon Sep 17 00:00:00 2001 From: amoodie Date: Fri, 16 Oct 2020 12:01:19 -0500 Subject: [PATCH 21/28] add getitem, allows consistent api slicing ops --- deltametrics/cube.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index c7263906..82318369 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -69,6 +69,9 @@ def as_frozen(self): """Export variable values as a `numpy.ndarray`.""" return self.data.values + def __getitem__(self, slc): + return self.data[slc] + class BaseCube(abc.ABC): """Base cube object. From 38c3c2f4e16228d34637e757726a6d7d98c2e891 Mon Sep 17 00:00:00 2001 From: amoodie Date: Fri, 16 Oct 2020 12:05:56 -0500 Subject: [PATCH 22/28] add docstring --- deltametrics/cube.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index 82318369..e5671162 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -70,6 +70,18 @@ def as_frozen(self): return self.data.values def __getitem__(self, slc): + """Get items from the underlying data. + + Takes a numpy slicing style and slices data from the underlying data. + Note that the underlying data is stored in an :obj:`xarray.DataArray`, + and this method returns another :obj:`xarray.DataArray`. + + Parameters + ---------- + slc : :obj:`numpy` slice + A valid numpy style slice. For example: ``[10, :, :]``. Dimension + validation is not performed before slicing. + """ return self.data[slc] From 54ab721a6b6f41401654acc71b3e60a6a34713a7 Mon Sep 17 00:00:00 2001 From: amoodie Date: Fri, 16 Oct 2020 12:10:19 -0500 Subject: [PATCH 23/28] remove .data from all mask instantiations in tests --- tests/test_mask.py | 176 ++++++++++++++++++++++----------------------- 1 file changed, 88 insertions(+), 88 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index 543e04d8..b2129914 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -19,7 +19,7 @@ class TestShorelineMask: def test_default_vals(self): """Test that default values are assigned.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) + shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) # make assertions assert shoremask.topo_threshold == -0.5 assert shoremask.angle_threshold == 75 @@ -29,21 +29,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(shoremask.mask == rcm8cube['eta'].data[-1, :, :]) + assert np.all(shoremask.mask == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], topo_threshold=-1.0, angle_threshold=100, numviews=5) @@ -55,7 +55,7 @@ def test_assign_vals(self): def test_shoreline(self): """Check for important variables and the final mask.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) + shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) # make assertions assert np.array_equal(shoremask.mask, shoremask.mask.astype(bool)) is True @@ -66,7 +66,7 @@ def test_shoreline(self): def test_submergedLand(self): """Check what happens when there is no land above water.""" # define the mask - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[0, :, :]) + shoremask = mask.ShorelineMask(rcm8cube['eta'][0, :, :]) # assert - expect all values to be 0s assert np.all(shoremask.mask == 0) @@ -94,7 +94,7 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) # make assertions assert landmask.topo_threshold == -0.5 assert landmask.angle_threshold == 75 @@ -104,21 +104,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(landmask.mask == rcm8cube['eta'].data[-1, :, :]) + assert np.all(landmask.mask == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], angle_threshold=100, topo_threshold=-1.0, numviews=5) @@ -130,14 +130,14 @@ def test_assign_vals(self): def test_submergedLand(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) + landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) # assert - expect all values to be 1s assert np.all(landmask.mask == 1) def test_land(self): """Check for important variables and the final mask.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) # make assertions assert np.array_equal(landmask.mask, landmask.mask.astype(bool)) is True @@ -147,8 +147,8 @@ def test_land(self): def test_givenshore(self): """Test that a ShoreMask can be passed into it.""" - shoremask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], + shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], shoremask=shoremask) # make assertions assert hasattr(landmask, 'shoremask') is True @@ -161,7 +161,7 @@ def test_givenshore(self): def test_givenfakeshore(self): """Test that a bad shoreline mask doesn't break the function.""" shoremask = 'not a mask' - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], shoremask=shoremask) # make assertions assert hasattr(landmask, 'shoremask') is True @@ -190,7 +190,7 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) # make assertions assert wetmask.topo_threshold == -0.5 assert wetmask.angle_threshold == 75 @@ -200,21 +200,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(wetmask.mask == rcm8cube['eta'].data[-1, :, :]) + assert np.all(wetmask.mask == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], topo_threshold=-1.0, angle_threshold=100, numviews=5) @@ -226,7 +226,7 @@ def test_assign_vals(self): def test_land(self): """Check for important variables and the final mask.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) # make assertions assert np.array_equal(wetmask.mask, wetmask.mask.astype(bool)) is True @@ -236,8 +236,8 @@ def test_land(self): def test_givenland(self): """Test that a LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], landmask=landmask) # make assertions assert hasattr(wetmask, 'landmask') is True @@ -249,7 +249,7 @@ def test_givenland(self): def test_givenfakeland(self): """Test that a bad land mask doesn't break function.""" landmask = 'not a mask' - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], landmask=landmask) # make assertions assert hasattr(wetmask, 'landmask') is True @@ -261,15 +261,15 @@ def test_givenfakeland(self): def test_submerged(self): """Check what happens when there is no land above water.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) # assert - expect all values to be 0s assert np.all(wetmask.mask == 0) def test_submerged_givenland(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :], + landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][0, :, :], landmask=landmask) # assert - expect all values to be 0s assert np.all(wetmask.mask == 0) @@ -293,8 +293,8 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :]) # make assertions assert channelmask.velocity_threshold == 0.3 assert channelmask.topo_threshold == -0.5 @@ -305,24 +305,24 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(channelmask.mask == rcm8cube['eta'].data[-1, :, :]) + assert np.all(channelmask.mask == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], velocity_threshold=0.5, topo_threshold=-1.0, angle_threshold=100, @@ -336,8 +336,8 @@ def test_assign_vals(self): def test_imp_vars(self): """Check for important variables and the final mask.""" # define the mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :]) # make assertions assert np.array_equal(channelmask.mask, channelmask.mask.astype(bool)) is True @@ -348,9 +348,9 @@ def test_imp_vars(self): def test_givenland(self): """Test that a LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], landmask=landmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -364,8 +364,8 @@ def test_givenland(self): def test_givenfakeland(self): """Test that an improperly defined land mask still works.""" landmask = 'not a mask' - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], landmask=landmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -378,9 +378,9 @@ def test_givenfakeland(self): def test_givenwet(self): """Test that a WetMask can be passed into it.""" - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], wetmask=wetmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -393,8 +393,8 @@ def test_givenwet(self): def test_givenfakewet(self): """Test that an improperly defined wet mask still works.""" wetmask = 'not a mask' - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :], + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :], wetmask=wetmask) # make assertions assert hasattr(channelmask, 'landmask') is True @@ -407,21 +407,21 @@ def test_givenfakewet(self): def test_submerged(self): """Check what happens when there is no land above water.""" # define zeros velocity array - velocity = np.zeros_like(rcm8cube['velocity'].data[0, :, :].__array__()) + velocity = np.zeros_like(rcm8cube['velocity'][0, :, :].__array__()) # define the mask channelmask = mask.ChannelMask(velocity, - rcm8cube['eta'].data[0, :, :]) + rcm8cube['eta'][0, :, :]) # assert - expect all values to be 0s assert np.all(channelmask.mask == 0) def test_submerged_givenland(self): """Check what happens when there is no land above water.""" # define zeros velocity array - velocity = np.zeros_like(rcm8cube['velocity'].data[0, :, :].__array__()) + velocity = np.zeros_like(rcm8cube['velocity'][0, :, :].__array__()) # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) + landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) channelmask = mask.ChannelMask(velocity, - rcm8cube['eta'].data[0, :, :], + rcm8cube['eta'][0, :, :], landmask=landmask) # assert - expect all values to be 0s assert np.all(channelmask.mask == 0) @@ -429,11 +429,11 @@ def test_submerged_givenland(self): def test_submerged_givenwet(self): """Check what happens when there is no land above water.""" # define zeros velocity array - velocity = np.zeros_like(rcm8cube['velocity'].data[0, :, :].__array__()) + velocity = np.zeros_like(rcm8cube['velocity'][0, :, :].__array__()) # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) channelmask = mask.ChannelMask(velocity, - rcm8cube['eta'].data[0, :, :], + rcm8cube['eta'][0, :, :], wetmask=wetmask) # assert - expect all values to be 0s assert np.all(channelmask.mask == 0) @@ -442,7 +442,7 @@ def test_invalidvelocity(self): """Raise TypeError if invalid velocity type is provided.""" with pytest.raises(TypeError): channelmask = mask.ChannelMask('bad_velocity', - rcm8cube['eta'].data[-1, :, :]) + rcm8cube['eta'][-1, :, :]) def test_3d(self): """Test with multiple time slices.""" @@ -464,7 +464,7 @@ def test_invalid_data(self): def test_default_vals(self): """Test that default values are assigned.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :]) # make assertions assert edgemask.topo_threshold == -0.5 assert edgemask.angle_threshold == 75 @@ -474,21 +474,21 @@ def test_default_vals(self): def test_maskError(self): """Test that TypeError is raised if is_mask is invalid.""" with pytest.raises(TypeError): - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], is_mask='invalid') def test_maskTrue(self): """Test that is_mask is True works.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(edgemask.mask == rcm8cube['eta'].data[-1, :, :]) + assert np.all(edgemask.mask == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], topo_threshold=-1.0, angle_threshold=100, numviews=5) @@ -500,7 +500,7 @@ def test_assign_vals(self): def test_imp_vars(self): """Check for important variables and the final mask.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :]) # make assertions assert np.array_equal(edgemask.mask, edgemask.mask.astype(bool)) is True @@ -510,8 +510,8 @@ def test_imp_vars(self): def test_givenland(self): """Test that a LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], landmask=landmask) # make assertions assert hasattr(edgemask, 'landmask') is True @@ -522,8 +522,8 @@ def test_givenland(self): def test_givenwet(self): """Test that a WetMask can be passed into it.""" - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], wetmask=wetmask) # make assertions assert hasattr(edgemask, 'landmask') is True @@ -534,9 +534,9 @@ def test_givenwet(self): def test_givenwetandland(self): """Test that a WetMask and LandMask can be passed into it.""" - landmask = mask.LandMask(rcm8cube['eta'].data[-1, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'].data[-1, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + landmask = mask.LandMask(rcm8cube['eta'][-1, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], landmask=landmask, wetmask=wetmask) # make assertions @@ -550,7 +550,7 @@ def test_givenbadwetandland(self): """Test that a bad pair of wet and land masks can be passed in.""" landmask = 'bad land mask' wetmask = 'bad wet mask' - edgemask = mask.EdgeMask(rcm8cube['eta'].data[-1, :, :], + edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], landmask=landmask, wetmask=wetmask) # make assertions @@ -563,15 +563,15 @@ def test_givenbadwetandland(self): def test_submerged(self): """Check what happens when there is no land above water.""" # define the mask - edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :]) # assert - expect all values to be 0s assert np.all(edgemask.mask == 0) def test_submerged_givenland(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :], + landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :], landmask=landmask) # assert - expect all values to be 0s assert np.all(edgemask.mask == 0) @@ -579,8 +579,8 @@ def test_submerged_givenland(self): def test_submerged_givenwet(self): """Check what happens when there is no land above water.""" # define the mask - wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :], + wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :], wetmask=wetmask) # assert - expect all values to be 0s assert np.all(edgemask.mask == 0) @@ -588,9 +588,9 @@ def test_submerged_givenwet(self): def test_submerged_givenboth(self): """Check what happens when there is no land above water.""" # define the mask - landmask = mask.LandMask(rcm8cube['eta'].data[0, :, :]) - wetmask = mask.WetMask(rcm8cube['eta'].data[0, :, :]) - edgemask = mask.EdgeMask(rcm8cube['eta'].data[0, :, :], + landmask = mask.LandMask(rcm8cube['eta'][0, :, :]) + wetmask = mask.WetMask(rcm8cube['eta'][0, :, :]) + edgemask = mask.EdgeMask(rcm8cube['eta'][0, :, :], wetmask=wetmask, landmask=landmask) # assert - expect all values to be 0s @@ -648,8 +648,8 @@ def test_maskTrue(self): def test_passChannelMask(self): """Test that a ChannelMask object can be passed in.""" # define channel mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :]) # define the mask centerlinemask = mask.CenterlineMask(channelmask) # make assertions - check that mask is binary @@ -678,8 +678,8 @@ def test_3d(self): def test_rivamapDefaults(self): """Test rivamap extraction of centerlines.""" # define channel mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :]) # define the mask centerlinemask = mask.CenterlineMask(channelmask, method='rivamap', @@ -696,8 +696,8 @@ def test_rivamapDefaults(self): def test_rivamapCustom(self): """Test rivamap extraction of centerlines with custom values.""" # define channel mask - channelmask = mask.ChannelMask(rcm8cube['velocity'].data[-1, :, :], - rcm8cube['eta'].data[-1, :, :]) + channelmask = mask.ChannelMask(rcm8cube['velocity'][-1, :, :], + rcm8cube['eta'][-1, :, :]) # define the mask centerlinemask = mask.CenterlineMask(channelmask, method='rivamap', @@ -717,7 +717,7 @@ def test_rivamapCustom(self): def test_plotter(tmp_path): """Test the show() function.""" import matplotlib.pyplot as plt - shore_mask = mask.ShorelineMask(rcm8cube['eta'].data[-1, :, :]) + shore_mask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :]) shore_mask.show() plt.savefig(tmp_path / 'mask_fig.png') plt.close() From 9118d98183b278694aeb28372fb97f10cf613965 Mon Sep 17 00:00:00 2001 From: amoodie Date: Fri, 16 Oct 2020 12:14:09 -0500 Subject: [PATCH 24/28] update other tests --- tests/test_strat.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/tests/test_strat.py b/tests/test_strat.py index a0fb85cc..2357a225 100644 --- a/tests/test_strat.py +++ b/tests/test_strat.py @@ -44,18 +44,18 @@ def test_return_cube(self): def test_lessthan3d_error(self): with pytest.raises(ValueError, match=r'Input arrays must be three-dimensional.'): - strat.compute_boxy_stratigraphy_volume(self.elev.data[:, 10, 120].squeeze(), - self.time.data[:, 10, 120].squeeze(), + strat.compute_boxy_stratigraphy_volume(self.elev[:, 10, 120].squeeze(), + self.time[:, 10, 120].squeeze(), dz=0.05) with pytest.raises(ValueError, match=r'Input arrays must be three-dimensional.'): - strat.compute_boxy_stratigraphy_volume(self.elev.data[:, 10, :].squeeze(), - self.time.data[:, 10, :].squeeze(), + strat.compute_boxy_stratigraphy_volume(self.elev[:, 10, :].squeeze(), + self.time[:, 10, :].squeeze(), dz=0.05) def test_bad_shape_error(self): with pytest.raises(ValueError, match=r'Input arrays must be three-dimensional.'): - strat.compute_boxy_stratigraphy_volume(self.elev.data[:, 10, 120].squeeze(), - self.time.data[:, 10, 120].squeeze(), + strat.compute_boxy_stratigraphy_volume(self.elev[:, 10, 120].squeeze(), + self.time[:, 10, 120].squeeze(), dz=0.05) def test_no_z_options(self): @@ -94,7 +94,7 @@ def test_return_cube(self): def test_no_z_options(self): with pytest.raises(ValueError, match=r'You must specify "z", "dz", or "nz.'): - strat.compute_boxy_stratigraphy_coordinates(self.elev.data[:, 10, 120].squeeze()) + strat.compute_boxy_stratigraphy_coordinates(self.elev[:, 10, 120].squeeze()) class TestComputeElevationToPreservation: From 3abb03328606d4b8ed12664ab6a29c067fb1d78c Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 19 Oct 2020 17:16:23 -0400 Subject: [PATCH 25/28] rebase pt3 --- deltametrics/cube.py | 6 +++--- docs/source/guides/10min.rst | 4 ++-- docs/source/guides/userguide.rst | 16 ++++++++-------- tests/test_plot.py | 2 +- 4 files changed, 14 insertions(+), 14 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index e5671162..a39ad6be 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -74,12 +74,12 @@ def __getitem__(self, slc): Takes a numpy slicing style and slices data from the underlying data. Note that the underlying data is stored in an :obj:`xarray.DataArray`, - and this method returns another :obj:`xarray.DataArray`. + and this method returns a :obj:`xarray.DataArray`. Parameters ---------- - slc : :obj:`numpy` slice - A valid numpy style slice. For example: ``[10, :, :]``. Dimension + slc : a `numpy` slice + A valid `numpy` style slice. For example, :code:`[10, :, :]`. Dimension validation is not performed before slicing. """ return self.data[slc] diff --git a/docs/source/guides/10min.rst b/docs/source/guides/10min.rst index 8f8eae31..e80902f0 100644 --- a/docs/source/guides/10min.rst +++ b/docs/source/guides/10min.rst @@ -62,11 +62,11 @@ Slicing a cube returns an instance of :obj:`~deltametrics.cube.CubeVariable`, wh >>> type(rcm8cube['velocity'].data) -The underlying xarray object is accessible using the ``.data`` nomenclature. For example, we could determine how much the average bed elevation change at a specific location in the model domain (43, 123), by slicing the ``eta`` variable, and differencing timesteps. +The underlying xarray object can be directly accessed by using a ``.data`` attribute, however, this is not necessary, and you can slice the `CubeVariable` directly with any valid `numpy` slicing style. For example, we could determine how much the average bed elevation changed at a specific location in the model domain (43, 123), by slicing the ``eta`` variable, and differencing timesteps. .. doctest:: - >>> np.mean( rcm8cube['eta'].data[1:,43,123] - rcm8cube['eta'].data[:-1,43,123] ) + >>> np.mean( rcm8cube['eta'][1:,43,123] - rcm8cube['eta'][:-1,43,123] ) array(0.08364895, dtype=float32) Coordinates: diff --git a/docs/source/guides/userguide.rst b/docs/source/guides/userguide.rst index 10b56948..f1a7379f 100644 --- a/docs/source/guides/userguide.rst +++ b/docs/source/guides/userguide.rst @@ -84,7 +84,7 @@ Let’s examine the timeseries of bed elevations by taking slices out of the ``' >>> fig, ax = plt.subplots(1, nt, figsize=(12, 2)) >>> for i, t in enumerate(ts): - ... ax[i].imshow(rcm8cube['eta'].data[t, :, :], vmin=-5, vmax=0.5) #doctest: +SKIP + ... ax[i].imshow(rcm8cube['eta'][t, :, :], vmin=-5, vmax=0.5) #doctest: +SKIP ... ax[i].set_title('t = ' + str(t)) #doctest: +SKIP ... ax[i].axes.get_xaxis().set_ticks([]) #doctest: +SKIP ... ax[i].axes.get_yaxis().set_ticks([]) #doctest: +SKIP @@ -104,7 +104,7 @@ For example: .. doctest:: >>> # compute the change in bed elevation between the last two intervals above - >>> diff_time = rcm8cube['eta'].data[ts[-1], ...] - rcm8cube['eta'].data[ts[-2], ...] + >>> diff_time = rcm8cube['eta'][ts[-1], ...] - rcm8cube['eta'][ts[-2], ...] >>> fig, ax = plt.subplots(figsize=(5, 3)) >>> im = ax.imshow(diff_time, cmap='RdBu', vmax=abs(diff_time).max(), vmin=-abs(diff_time).max()) @@ -477,12 +477,12 @@ Currently implemented `Masks`: >>> maskcube = dm.sample_data.cube.rcm8() >>> # create the masks from variables in the cube - >>> land_mask = dm.mask.LandMask(maskcube['eta'].data[-1, :, :]) - >>> wet_mask = dm.mask.WetMask(maskcube['eta'].data[-1, :, :]) - >>> channel_mask = dm.mask.ChannelMask(maskcube['velocity'].data[-1, :, :], maskcube['eta'].data[-1, :, :]) + >>> land_mask = dm.mask.LandMask(maskcube['eta'][-1, :, :]) + >>> wet_mask = dm.mask.WetMask(maskcube['eta'][-1, :, :]) + >>> channel_mask = dm.mask.ChannelMask(maskcube['velocity'][-1, :, :], maskcube['eta'][-1, :, :]) >>> centerline_mask = dm.mask.CenterlineMask(channel_mask) - >>> edge_mask = dm.mask.EdgeMask(maskcube['eta'].data[-1, :, :]) - >>> shore_mask = dm.mask.ShorelineMask(maskcube['eta'].data[-1, :, :]) + >>> edge_mask = dm.mask.EdgeMask(maskcube['eta'][-1, :, :]) + >>> shore_mask = dm.mask.ShorelineMask(maskcube['eta'][-1, :, :]) .. doctest:: @@ -491,7 +491,7 @@ Currently implemented `Masks`: >>> ax0 = fig.add_subplot(spec[0, :]) >>> axs = [fig.add_subplot(spec[i, j]) for i, j in zip(np.repeat(np.arange(1, 4), 2), np.tile(np.arange(2), (4,)))] - >>> ax0.imshow(maskcube['eta'].data[-1, :, :]) #doctest: +SKIP + >>> ax0.imshow(maskcube['eta'][-1, :, :]) #doctest: +SKIP >>> for i, m in enumerate([land_mask, wet_mask, channel_mask, centerline_mask, edge_mask, shore_mask]): ... axs[i].imshow(m.mask[-1, :, :], cmap='gray') #doctest: +SKIP ... axs[i].set_title(m.mask_type) #doctest: +SKIP diff --git a/tests/test_plot.py b/tests/test_plot.py index d6e8f6cb..bd33292a 100644 --- a/tests/test_plot.py +++ b/tests/test_plot.py @@ -243,7 +243,7 @@ def test_sodttst_makes_plot_sample_data(self): locs = np.array([[48, 152], [8, 63], [14, 102], [92, 218], [102, 168], [26, 114], [62, 135], [61, 201], [65, 193], [23, 175]]) for i in range(10): - _e = rcm8cube['eta'].data[:, locs[i, 0], locs[i, 1]] + _e = rcm8cube['eta'][:, locs[i, 0], locs[i, 1]] fig, ax = plt.subplots() plot.show_one_dimensional_trajectory_to_strata(_e, ax=ax) plt.close() From 04d7b43b0cb3982a9af2a4bbb3ccc8bd8652467c Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 19 Oct 2020 17:34:00 -0400 Subject: [PATCH 26/28] fix tests that broke due to dimensionality mis-match --- tests/test_mask.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/test_mask.py b/tests/test_mask.py index b2129914..30df8d87 100644 --- a/tests/test_mask.py +++ b/tests/test_mask.py @@ -38,7 +38,7 @@ def test_maskTrue(self): shoremask = mask.ShorelineMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(shoremask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(shoremask.mask[-1, :, :] == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" @@ -113,7 +113,7 @@ def test_maskTrue(self): landmask = mask.LandMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(landmask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(landmask.mask[-1, :, :] == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" @@ -209,7 +209,7 @@ def test_maskTrue(self): wetmask = mask.WetMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(wetmask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(wetmask.mask[-1, :, :] == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" @@ -316,7 +316,7 @@ def test_maskTrue(self): rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(channelmask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(channelmask.mask[-1, :, :] == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" @@ -483,7 +483,7 @@ def test_maskTrue(self): edgemask = mask.EdgeMask(rcm8cube['eta'][-1, :, :], is_mask=True) # do assertion - assert np.all(edgemask.mask == rcm8cube['eta'][-1, :, :]) + assert np.all(edgemask.mask[-1, :, :] == rcm8cube['eta'][-1, :, :]) def test_assign_vals(self): """Test that specified values are assigned.""" @@ -643,7 +643,7 @@ def test_maskTrue(self): centerlinemask = mask.CenterlineMask(channelmask, is_mask=True) # do assertion - assert np.all(centerlinemask.mask == channelmask) + assert np.all(centerlinemask.mask[-1, :, :] == channelmask) def test_passChannelMask(self): """Test that a ChannelMask object can be passed in.""" From e243d3757e629a51fbcf19d87c9642da306fd2a7 Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 19 Oct 2020 18:36:22 -0400 Subject: [PATCH 27/28] minor updates to cube.py --- deltametrics/cube.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/deltametrics/cube.py b/deltametrics/cube.py index a39ad6be..7c14973c 100644 --- a/deltametrics/cube.py +++ b/deltametrics/cube.py @@ -79,8 +79,8 @@ def __getitem__(self, slc): Parameters ---------- slc : a `numpy` slice - A valid `numpy` style slice. For example, :code:`[10, :, :]`. Dimension - validation is not performed before slicing. + A valid `numpy` style slice. For example, :code:`[10, :, :]`. + Dimension validation is not performed before slicing. """ return self.data[slc] @@ -538,7 +538,7 @@ def __getitem__(self, var): CubeVariable : `~deltametrics.cube.CubeVariable` The instantiated CubeVariable. """ - if var == 'time' or var == 'x' or var == 'y': + if var in self._coords: # ensure coords can be called by cube[var] _coords = {} _coords['t'] = self.T From 94a8a66775158017c09c15634f0196db5bdcd68d Mon Sep 17 00:00:00 2001 From: JayH Date: Mon, 19 Oct 2020 18:47:46 -0400 Subject: [PATCH 28/28] remove redundant mess --- deltametrics/strat.py | 47 ++++++++++++++++--------------------------- 1 file changed, 17 insertions(+), 30 deletions(-) diff --git a/deltametrics/strat.py b/deltametrics/strat.py index bd2efdca..c31a533e 100644 --- a/deltametrics/strat.py +++ b/deltametrics/strat.py @@ -367,8 +367,8 @@ def _compute_elevation_to_preservation(elev): Parameters ---------- - elev : :obj:`ndarray` - The `t-x-y` ndarry of elevation data to determine stratigraphy. + elev : :obj:`ndarray` or :obj:`xr.core.dataarray.DataArray` + The `t-x-y` volume of elevation data to determine stratigraphy. Returns ------- @@ -386,35 +386,22 @@ def _compute_elevation_to_preservation(elev): nt = strata.shape[0] if isinstance(elev, np.ndarray) is True: - strata[-1, ...] = elev[-1, ...] - for j in np.arange(nt - 2, -1, -1): - strata[j, ...] = np.minimum(elev[j, ...], - strata[j + 1, ...]) - psvd[j + 1, ...] = np.less(strata[j, ...], - strata[j + 1, ...]) - if nt > 1: # allows a single-time elevation-series to return - psvd[0, ...] = np.less(strata[0, ...], - strata[1, ...]) + _elev = elev elif isinstance(elev, xr.core.dataarray.DataArray) is True: - strata[-1, ...] = elev.values[-1, ...] - for j in np.arange(nt - 2, -1, -1): - strata[j, ...] = np.minimum(elev.values[j, ...], - strata[j + 1, ...]) - psvd[j + 1, ...] = np.less(strata[j, ...], - strata[j + 1, ...]) - if nt > 1: # allows a single-time elevation-series to return - psvd[0, ...] = np.less(strata[0, ...], - strata[1, ...]) - else: - strata[-1, ...] = elev.data.values[-1, ...] - for j in np.arange(nt - 2, -1, -1): - strata[j, ...] = np.minimum(elev.data.values[j, ...], - strata[j + 1, ...]) - psvd[j + 1, ...] = np.less(strata[j, ...], - strata[j + 1, ...]) - if nt > 1: # allows a single-time elevation-series to return - psvd[0, ...] = np.less(strata[0, ...], - strata[1, ...]) + _elev = elev.values + else: # case where elev is a CubeVariable + _elev = elev.data.values + + strata[-1, ...] = _elev[-1, ...] + for j in np.arange(nt - 2, -1, -1): + strata[j, ...] = np.minimum(_elev[j, ...], + strata[j + 1, ...]) + psvd[j + 1, ...] = np.less(strata[j, ...], + strata[j + 1, ...]) + if nt > 1: # allows a single-time elevation-series to return + psvd[0, ...] = np.less(strata[0, ...], + strata[1, ...]) + return strata, psvd