-
Notifications
You must be signed in to change notification settings - Fork 95
/
plot.py
336 lines (293 loc) · 12.5 KB
/
plot.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
#!/usr/bin/env python
# encoding: utf8
#
# Copyright (C) 2010-2019 Pytroll
#
# Authors:
# Esben S. Nielsen
# Thomas Lavergne
# Adam Dybbroe <adam.dybbroe@smhi.se>
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
"""Utility functions for quick and easy display."""
from __future__ import absolute_import
import numpy as np
try:
from pyresample.utils import cartopy # noqa
BASEMAP_NOT_CARTOPY = False
except ImportError:
BASEMAP_NOT_CARTOPY = True
def ellps2axis(ellps_name):
"""Get semi-major and semi-minor axis from ellipsis definition.
Parameters
---------
ellps_name : str
Standard name of ellipsis
Returns
-------
(a, b) : semi-major and semi-minor axis
"""
ellps = {'helmert': {'a': 6378200.0, 'b': 6356818.1696278909},
'intl': {'a': 6378388.0, 'b': 6356911.9461279465},
'merit': {'a': 6378137.0, 'b': 6356752.2982159676},
'wgs72': {'a': 6378135.0, 'b': 6356750.5200160937},
'sphere': {'a': 6370997.0, 'b': 6370997.0},
'clrk66': {'a': 6378206.4000000004, 'b': 6356583.7999999998},
'nwl9d': {'a': 6378145.0, 'b': 6356759.7694886839},
'lerch': {'a': 6378139.0, 'b': 6356754.2915103417},
'evrstss': {'a': 6377298.5559999999, 'b': 6356097.5503008962},
'evrst30': {'a': 6377276.3449999997, 'b': 6356075.4131402401},
'mprts': {'a': 6397300.0, 'b': 6363806.2827225132},
'krass': {'a': 6378245.0, 'b': 6356863.0187730473},
'walbeck': {'a': 6376896.0, 'b': 6355834.8466999996},
'kaula': {'a': 6378163.0, 'b': 6356776.9920869097},
'wgs66': {'a': 6378145.0, 'b': 6356759.7694886839},
'evrst56': {'a': 6377301.2429999998, 'b': 6356100.2283681016},
'new_intl': {'a': 6378157.5, 'b': 6356772.2000000002},
'airy': {'a': 6377563.3959999997, 'b': 6356256.9100000001},
'bessel': {'a': 6377397.1550000003, 'b': 6356078.9628181886},
'seasia': {'a': 6378155.0, 'b': 6356773.3205000004},
'aust_sa': {'a': 6378160.0, 'b': 6356774.7191953054},
'wgs84': {'a': 6378137.0, 'b': 6356752.3142451793},
'hough': {'a': 6378270.0, 'b': 6356794.3434343431},
'wgs60': {'a': 6378165.0, 'b': 6356783.2869594367},
'engelis': {'a': 6378136.0499999998, 'b': 6356751.3227215428},
'apl4.9': {'a': 6378137.0, 'b': 6356751.796311819},
'andrae': {'a': 6377104.4299999997, 'b': 6355847.4152333336},
'sgs85': {'a': 6378136.0, 'b': 6356751.301568781},
'delmbr': {'a': 6376428.0, 'b': 6355957.9261637237},
'fschr60m': {'a': 6378155.0, 'b': 6356773.3204827355},
'iau76': {'a': 6378140.0, 'b': 6356755.2881575283},
'plessis': {'a': 6376523.0, 'b': 6355863.0},
'cpm': {'a': 6375738.7000000002, 'b': 6356666.221912113},
'fschr68': {'a': 6378150.0, 'b': 6356768.3372443849},
'mod_airy': {'a': 6377340.1890000002, 'b': 6356034.4460000005},
'grs80': {'a': 6378137.0, 'b': 6356752.3141403561},
'bess_nam': {'a': 6377483.8650000002, 'b': 6356165.3829663256},
'fschr60': {'a': 6378166.0, 'b': 6356784.2836071067},
'clrk80': {'a': 6378249.1449999996, 'b': 6356514.9658284895},
'evrst69': {'a': 6377295.6639999999, 'b': 6356094.6679152036},
'grs67': {'a': 6378160.0, 'b': 6356774.5160907144},
'evrst48': {'a': 6377304.0630000001, 'b': 6356103.0389931547}}
try:
ellps_axis = ellps[ellps_name.lower()]
a = ellps_axis['a']
b = ellps_axis['b']
except KeyError:
raise ValueError(('Could not determine semi-major and semi-minor axis '
'of specified ellipsis %s') % ellps_name)
return a, b
def area_def2basemap(area_def, **kwargs):
"""Get Basemap object from an AreaDefinition object.
Parameters
---------
area_def : object
geometry.AreaDefinition object
**kwargs: Keyword arguments
Additional initialization arguments for Basemap
Returns
-------
bmap : Basemap object
"""
import warnings
warnings.warn("Basemap is no longer maintained. Please switch to cartopy "
"by using 'area_def.to_cartopy_crs()'. See the pyresample "
"documentation for more details.", DeprecationWarning)
from mpl_toolkits.basemap import Basemap
try:
a, b = ellps2axis(area_def.proj_dict['ellps'])
rsphere = (a, b)
except KeyError:
try:
a = float(area_def.proj_dict['a'])
try:
b = float(area_def.proj_dict['b'])
rsphere = (a, b)
except KeyError:
rsphere = a
except KeyError:
# Default to WGS84 ellipsoid
a, b = ellps2axis('wgs84')
rsphere = (a, b)
# Add projection specific basemap args to args passed to function
basemap_args = kwargs
basemap_args['rsphere'] = rsphere
if area_def.proj_dict['proj'] in ('ortho', 'geos', 'nsper'):
llcrnrx, llcrnry, urcrnrx, urcrnry = area_def.area_extent
basemap_args['llcrnrx'] = llcrnrx
basemap_args['llcrnry'] = llcrnry
basemap_args['urcrnrx'] = urcrnrx
basemap_args['urcrnry'] = urcrnry
else:
llcrnrlon, llcrnrlat, urcrnrlon, urcrnrlat = area_def.area_extent_ll
basemap_args['llcrnrlon'] = llcrnrlon
basemap_args['llcrnrlat'] = llcrnrlat
basemap_args['urcrnrlon'] = urcrnrlon
basemap_args['urcrnrlat'] = urcrnrlat
if area_def.proj_dict['proj'] == 'eqc':
basemap_args['projection'] = 'cyl'
else:
basemap_args['projection'] = area_def.proj_dict['proj']
# Try adding potentially remaining args
for key in ('lon_0', 'lat_0', 'lon_1', 'lat_1', 'lon_2', 'lat_2',
'lat_ts'):
try:
basemap_args[key] = float(area_def.proj_dict[key])
except KeyError:
pass
return Basemap(**basemap_args)
def _basemap_get_quicklook(area_def, data, vmin=None, vmax=None,
label='Variable (units)', num_meridians=45,
num_parallels=10, coast_res='110m', cmap='RdBu_r'):
"""Doing quicklook image plots with Basemap."""
if area_def.shape != data.shape:
raise ValueError('area_def shape %s does not match data shape %s' %
(list(area_def.shape), list(data.shape)))
import matplotlib.pyplot as plt
bmap = area_def2basemap(area_def, resolution=coast_res)
bmap.drawcoastlines()
if num_meridians > 0:
bmap.drawmeridians(np.arange(-180, 180, num_meridians))
if num_parallels > 0:
bmap.drawparallels(np.arange(-90, 90, num_parallels))
if not (np.ma.isMaskedArray(data) and data.mask.all()):
col = bmap.imshow(data, origin='upper', vmin=vmin, vmax=vmax, cmap=cmap)
plt.colorbar(col, shrink=0.5, pad=0.05).set_label(label)
return plt
def _translate_coast_resolution_to_cartopy(coast_res):
"""Translate the coast resolution argument between cartopy and basemap notation."""
bmap_to_cartopy_res = {
'c': '110m',
'l': '110m',
'i': '50m',
'h': '10m',
'f': '10m'
}
if BASEMAP_NOT_CARTOPY:
if coast_res.endswith('m'):
_rev_map = {v: k for k, v in bmap_to_cartopy_res.items()}
coast_res = _rev_map[coast_res]
return coast_res, False
if coast_res and coast_res not in ['110m', '50m', '10m']:
import warnings
warnings.warn("'coast_res' should be either '110m', '50m', '10m'.")
coast_res = {
'c': '110m',
'l': '110m',
'i': '50m',
'h': '10m',
'f': '10m'
}[coast_res]
return coast_res, True
def _add_gridlines(axes, nmeridians, nparallels):
"""Add gridlines: meridians and parallels onto the plot."""
from matplotlib import ticker as mticker
gl = axes.gridlines()
if nmeridians:
gl.xlocator = mticker.FixedLocator(np.arange(-180, 180 + nmeridians, nmeridians))
else:
gl.xlines = False
if nparallels:
gl.ylocator = mticker.FixedLocator(np.arange(-90, 90 + nparallels, nparallels))
else:
gl.ylines = False
return gl
def _get_quicklook(area_def, data, vmin=None, vmax=None,
label='Variable (units)', num_meridians=45,
num_parallels=10, coast_res='110m', cmap='RdBu_r'):
"""Get default cartopy matplotlib plot."""
import matplotlib.pyplot as plt
coast_res, is_cartopy = _translate_coast_resolution_to_cartopy(coast_res)
if not is_cartopy:
return _basemap_get_quicklook(
area_def, data, vmin, vmax, label, num_meridians,
num_parallels, coast_res=coast_res, cmap=cmap)
if area_def.shape != data.shape:
raise ValueError('area_def shape %s does not match data shape %s' %
(list(area_def.shape), list(data.shape)))
crs = area_def.to_cartopy_crs()
ax = plt.axes(projection=crs)
ax.coastlines(resolution=coast_res)
ax.set_global()
if num_meridians or num_parallels:
_ = _add_gridlines(ax, num_meridians, num_parallels)
if not (np.ma.isMaskedArray(data) and data.mask.all()):
col = ax.imshow(data, transform=crs, extent=crs.bounds,
origin='upper', vmin=vmin, vmax=vmax, cmap=cmap)
plt.colorbar(col, shrink=0.5, pad=0.05).set_label(label)
return plt
def show_quicklook(area_def, data, vmin=None, vmax=None,
label='Variable (units)', num_meridians=45,
num_parallels=10, coast_res='110m', cmap='RdBu_r'):
"""Display default quicklook plot.
Parameters
---------
area_def : object
geometry.AreaDefinition object
data : numpy array | numpy masked array
2D array matching area_def. Use masked array for transparent values
vmin : float, optional
Min value for luminescence scaling
vmax : float, optional
Max value for luminescence scaling
label : str, optional
Label for data
num_meridians : int, optional
Number of meridians to plot on the globe
num_parallels : int, optional
Number of parallels to plot on the globe
coast_res : {'c', 'l', 'i', 'h', 'f'}, optional
Resolution of coastlines
Returns
-------
bmap : Basemap object
"""
plt = _get_quicklook(area_def, data, vmin=vmin, vmax=vmax,
label=label, num_meridians=num_meridians,
num_parallels=num_parallels, coast_res=coast_res,
cmap=cmap)
plt.show()
plt.close()
def save_quicklook(filename, area_def, data, vmin=None, vmax=None,
label='Variable (units)', num_meridians=45,
num_parallels=10, coast_res='110m',
cmap='RdBu_r'):
"""Display and save default quicklook plot.
Parameters
----------
filename : str
path to output file
area_def : object
geometry.AreaDefinition object
data : numpy array | numpy masked array
2D array matching area_def. Use masked array for transparent values
vmin : float, optional
Min value for luminescence scaling
vmax : float, optional
Max value for luminescence scaling
label : str, optional
Label for data
num_meridians : int, optional
Number of meridians to plot on the globe
num_parallels : int, optional
Number of parallels to plot on the globe
coast_res : {'c', 'l', 'i', 'h', 'f'}, optional
Resolution of coastlines
"""
plt = _get_quicklook(area_def, data, vmin=vmin, vmax=vmax,
label=label, num_meridians=num_meridians,
num_parallels=num_parallels, coast_res=coast_res,
cmap=cmap)
plt.savefig(filename, bbox_inches='tight')
plt.close()