Mercurial > repos > ecology > xarray_metadata_info
diff xarray_mapplot.py @ 3:663268794710 draft
"planemo upload for repository https://github.com/galaxyecology/tools-ecology/tree/master/tools/data_manipulation/xarray/ commit 57b6d23e3734d883e71081c78e77964d61be82ba"
author | ecology |
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date | Sun, 06 Jun 2021 08:49:43 +0000 |
parents | |
children | 9bbaab36a5d4 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/xarray_mapplot.py Sun Jun 06 08:49:43 2021 +0000 @@ -0,0 +1,457 @@ +#!/usr/bin/env python3 +# +# +# usage: xarray_mapplot.py [-h] [--proj PROJ] +# [--cmap CMAP] +# [--output OUTPUT] +# [--time TIMES] +# [--nrow NROW] +# [--ncol NCOL] +# [--title title] +# [--latitude LATITUDE] +# [--longitude LONGITUDE] +# [--land ALPHA-LAND] +# [--ocean ALPHA-OCEAN] +# [--coastline ALPHA-COASTLINE] +# [--borders ALPHA-BORDERS] +# [--xlim "x1,x2"] +# [--ylim "y1,y2"] +# [--range "valmin,valmax"] +# [--threshold VAL] +# [--label label-colorbar] +# [--shift] +# [-v] +# input varname +# +# positional arguments: +# input input filename with geographical coordinates (netCDF +# format) +# varname Specify which variable to plot (case sensitive) +# +# optional arguments: +# -h, --help show this help message and exit +# --proj PROJ Specify the projection on which we draw +# --cmap CMAP Specify which colormap to use for plotting +# --output OUTPUT output filename to store resulting image (png format) +# --time TIMES time index from the file for multiple plots ("0 1 2 3") +# --title plot or subplot title +# --latitude variable name for latitude +# --longitude variable name for longitude +# --land add land on plot with alpha value [0-1] +# --ocean add oceans on plot with alpha value [0-1] +# --coastline add coastline with alpha value [0-1] +# --borders add country borders with alpha value [0-1] +# --xlim limited geographical area longitudes "x1,x2" +# --ylim limited geographical area latitudes "y1,y2" +# --range "valmin,valmax" for plotting +# --threshold do not plot values below threshold +# --label set a label for colormap +# --shift shift longitudes if specified +# -v, --verbose switch on verbose mode +# + +import argparse +import ast +import warnings +from pathlib import Path + +import cartopy.crs as ccrs +import cartopy.feature as feature + +from cmcrameri import cm + +import matplotlib as mpl +mpl.use('Agg') +from matplotlib import pyplot # noqa: I202,E402 + +import xarray as xr # noqa: E402 + + +class MapPlotXr (): + def __init__(self, input, proj, varname, cmap, output, verbose=False, + time=[], title="", latitude="latitude", + longitude="longitude", land=0, ocean=0, + coastline=0, borders=0, xlim=[], ylim=[], + threshold="", label="", shift=False, + range_values=[]): + self.input = input + print("PROJ", proj) + if proj != "" and proj is not None: + self.proj = proj.replace('X', ':') + else: + self.proj = proj + self.varname = varname + self.get_cmap(cmap) + self.time = time + self.latitude = latitude + self.longitude = longitude + self.land = land + self.ocean = ocean + self.coastline = coastline + self.borders = borders + self.xlim = xlim + self.ylim = ylim + self.range = range_values + self.threshold = threshold + self.shift = shift + self.xylim_supported = False + self.colorbar = True + self.title = title + if output is None: + self.output = Path(input).stem + '.png' + else: + self.output = output + self.verbose = verbose + self.dset = xr.open_dataset(self.input, use_cftime=True) + + self.label = {} + if label != "" and label is not None: + self.label['label'] = label + if verbose: + print("input: ", self.input) + print("proj: ", self.proj) + print("varname: ", self.varname) + print("time: ", self.time) + print("minval, maxval: ", self.range) + print("title: ", self.title) + print("output: ", self.output) + print("label: ", self.label) + print("shift: ", self.shift) + print("ocean: ", self.ocean) + print("land: ", self.land) + print("coastline: ", self.coastline) + print("borders: ", self.borders) + print("latitude: ", self.latitude) + print("longitude: ", self.longitude) + print("xlim: ", self.xlim) + print("ylim: ", self.ylim) + + def get_cmap(self, cmap): + if cmap[0:3] == 'cm.': + self.cmap = cm.__dict__[cmap[3:]] + else: + self.cmap = cmap + + def projection(self): + if self.proj is None: + return ccrs.PlateCarree() + + proj_dict = ast.literal_eval(self.proj) + + user_proj = proj_dict.pop("proj") + if user_proj == 'PlateCarree': + self.xylim_supported = True + return ccrs.PlateCarree(**proj_dict) + elif user_proj == 'AlbersEqualArea': + return ccrs.AlbersEqualArea(**proj_dict) + elif user_proj == 'AzimuthalEquidistant': + return ccrs.AzimuthalEquidistant(**proj_dict) + elif user_proj == 'EquidistantConic': + return ccrs.EquidistantConic(**proj_dict) + elif user_proj == 'LambertConformal': + return ccrs.LambertConformal(**proj_dict) + elif user_proj == 'LambertCylindrical': + return ccrs.LambertCylindrical(**proj_dict) + elif user_proj == 'Mercator': + return ccrs.Mercator(**proj_dict) + elif user_proj == 'Miller': + return ccrs.Miller(**proj_dict) + elif user_proj == 'Mollweide': + return ccrs.Mollweide(**proj_dict) + elif user_proj == 'Orthographic': + return ccrs.Orthographic(**proj_dict) + elif user_proj == 'Robinson': + return ccrs.Robinson(**proj_dict) + elif user_proj == 'Sinusoidal': + return ccrs.Sinusoidal(**proj_dict) + elif user_proj == 'Stereographic': + return ccrs.Stereographic(**proj_dict) + elif user_proj == 'TransverseMercator': + return ccrs.TransverseMercator(**proj_dict) + elif user_proj == 'UTM': + return ccrs.UTM(**proj_dict) + elif user_proj == 'InterruptedGoodeHomolosine': + return ccrs.InterruptedGoodeHomolosine(**proj_dict) + elif user_proj == 'RotatedPole': + return ccrs.RotatedPole(**proj_dict) + elif user_proj == 'OSGB': + self.xylim_supported = False + return ccrs.OSGB(**proj_dict) + elif user_proj == 'EuroPP': + self.xylim_supported = False + return ccrs.EuroPP(**proj_dict) + elif user_proj == 'Geostationary': + return ccrs.Geostationary(**proj_dict) + elif user_proj == 'NearsidePerspective': + return ccrs.NearsidePerspective(**proj_dict) + elif user_proj == 'EckertI': + return ccrs.EckertI(**proj_dict) + elif user_proj == 'EckertII': + return ccrs.EckertII(**proj_dict) + elif user_proj == 'EckertIII': + return ccrs.EckertIII(**proj_dict) + elif user_proj == 'EckertIV': + return ccrs.EckertIV(**proj_dict) + elif user_proj == 'EckertV': + return ccrs.EckertV(**proj_dict) + elif user_proj == 'EckertVI': + return ccrs.EckertVI(**proj_dict) + elif user_proj == 'EqualEarth': + return ccrs.EqualEarth(**proj_dict) + elif user_proj == 'Gnomonic': + return ccrs.Gnomonic(**proj_dict) + elif user_proj == 'LambertAzimuthalEqualArea': + return ccrs.LambertAzimuthalEqualArea(**proj_dict) + elif user_proj == 'NorthPolarStereo': + return ccrs.NorthPolarStereo(**proj_dict) + elif user_proj == 'OSNI': + return ccrs.OSNI(**proj_dict) + elif user_proj == 'SouthPolarStereo': + return ccrs.SouthPolarStereo(**proj_dict) + + def plot(self, ts=None): + if self.shift: + if self.longitude == 'longitude': + self.dset = self.dset.assign_coords( + longitude=((( + self.dset[self.longitude] + + 180) % 360) - 180)) + elif self.longitude == 'lon': + self.dset = self.dset.assign_coords( + lon=(((self.dset[self.longitude] + + 180) % 360) - 180)) + + pyplot.figure(1, figsize=[20, 10]) + + # Set the projection to use for plotting + ax = pyplot.subplot(1, 1, 1, projection=self.projection()) + if self.land: + ax.add_feature(feature.LAND, alpha=self.land) + + if self.ocean: + ax.add_feature(feature.OCEAN, alpha=self.ocean) + if self.coastline: + ax.coastlines(resolution='10m', alpha=self.coastline) + if self.borders: + ax.add_feature(feature.BORDERS, linestyle=':', alpha=self.borders) + + if self.xlim: + min_lon = min(self.xlim[0], self.xlim[1]) + max_lon = max(self.xlim[0], self.xlim[1]) + else: + min_lon = self.dset[self.longitude].min() + max_lon = self.dset[self.longitude].max() + + if self.ylim: + min_lat = min(self.ylim[0], self.ylim[1]) + max_lat = max(self.ylim[0], self.ylim[1]) + else: + min_lat = self.dset[self.latitude].min() + max_lat = self.dset[self.latitude].max() + + if self.xylim_supported: + pyplot.xlim(min_lon, max_lon) + pyplot.ylim(min_lat, max_lat) + + # Fix extent + if self.threshold == "" or self.threshold is None: + threshold = self.dset[self.varname].min() + else: + threshold = float(self.threshold) + + if self.range == []: + minval = self.dset[self.varname].min() + maxval = self.dset[self.varname].max() + else: + minval = self.range[0] + maxval = self.range[1] + + if self.verbose: + print("minval: ", minval) + print("maxval: ", maxval) + + # pass extent with vmin and vmax parameters + proj_t = ccrs.PlateCarree() + if ts is None: + self.dset.where( + self.dset[self.varname] > threshold + )[self.varname].plot(ax=ax, + vmin=minval, + vmax=maxval, + transform=proj_t, + cmap=self.cmap, + cbar_kwargs=self.label + ) + if self.title != "" and self.title is not None: + pyplot.title(self.title) + pyplot.savefig(self.output) + else: + if self.colorbar: + self.dset.where( + self.dset[self.varname] > threshold + )[self.varname].isel(time=ts).plot(ax=ax, + vmin=minval, + vmax=maxval, + transform=proj_t, + cmap=self.cmap, + cbar_kwargs=self.label + ) + else: + self.dset.where( + self.dset[self.varname] > minval + )[self.varname].isel(time=ts).plot(ax=ax, + vmin=minval, + vmax=maxval, + transform=proj_t, + cmap=self.cmap, + add_colorbar=False) + if self.title != "" and self.title is not None: + pyplot.title(self.title + "(time = " + str(ts) + ')') + pyplot.savefig(self.output[:-4] + "_time" + str(ts) + + self.output[-4:]) # assume png format + + +if __name__ == '__main__': + warnings.filterwarnings("ignore") + parser = argparse.ArgumentParser() + parser.add_argument( + 'input', + help='input filename with geographical coordinates (netCDF format)' + ) + + parser.add_argument( + '--proj', + help='Specify the projection on which we draw' + ) + parser.add_argument( + 'varname', + help='Specify which variable to plot (case sensitive)' + ) + parser.add_argument( + '--cmap', + help='Specify which colormap to use for plotting' + ) + parser.add_argument( + '--output', + help='output filename to store resulting image (png format)' + ) + parser.add_argument( + '--time', + help='list of times to plot for multiple plots' + ) + parser.add_argument( + '--title', + help='plot title' + ) + parser.add_argument( + '--latitude', + help='variable name for latitude' + ) + parser.add_argument( + '--longitude', + help='variable name for longitude' + ) + parser.add_argument( + '--land', + help='add land on plot with alpha value [0-1]' + ) + parser.add_argument( + '--ocean', + help='add oceans on plot with alpha value [0-1]' + ) + parser.add_argument( + '--coastline', + help='add coastline with alpha value [0-1]' + ) + parser.add_argument( + '--borders', + help='add country borders with alpha value [0-1]' + ) + parser.add_argument( + '--xlim', + help='limited geographical area longitudes "x1,x2"' + ) + parser.add_argument( + '--ylim', + help='limited geographical area latitudes "y1,y2"' + ) + parser.add_argument( + '--range', + help='min and max values for plotting "minval,maxval"' + ) + parser.add_argument( + '--threshold', + help='do not plot values below threshold' + ) + parser.add_argument( + '--label', + help='set a label for colorbar' + ) + parser.add_argument( + '--shift', + help='shift longitudes if specified', + action="store_true" + ) + parser.add_argument( + "-v", "--verbose", + help="switch on verbose mode", + action="store_true") + args = parser.parse_args() + + if args.time is None: + time = [] + else: + time = list(map(int, args.time.split(","))) + if args.xlim is None: + xlim = [] + else: + xlim = list(map(float, args.xlim.split(","))) + if args.ylim is None: + ylim = [] + else: + ylim = list(map(float, args.ylim.split(","))) + if args.range is None: + range_values = [] + else: + range_values = list(map(float, args.range.split(","))) + if args.latitude is None: + latitude = "latitude" + else: + latitude = args.latitude + if args.longitude is None: + longitude = "longitude" + else: + longitude = args.longitude + if args.land is None: + land = 0 + else: + land = float(args.land) + if args.ocean is None: + ocean = 0 + else: + ocean = float(args.ocean) + if args.coastline is None: + coastline = 0 + else: + coastline = float(args.coastline) + if args.borders is None: + borders = 0 + else: + borders = float(args.borders) + + dset = MapPlotXr(input=args.input, proj=args.proj, varname=args.varname, + cmap=args.cmap, output=args.output, verbose=args.verbose, + time=time, title=args.title, + latitude=latitude, longitude=longitude, land=land, + ocean=ocean, coastline=coastline, borders=borders, + xlim=xlim, ylim=ylim, threshold=args.threshold, + label=args.label, shift=args.shift, + range_values=range_values) + + if dset.time == []: + dset.plot() + else: + for t in dset.time: + dset.plot(t) + dset.shift = False # only shift once + dset.colorbar = True