Changeset 4516
- Timestamp:
- Jul 7, 2020 6:08:08 PM (3 years ago)
- File:
-
- 1 edited
Legend:
- Unmodified
- Added
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trunk/GSASIIplot.py
r4508 r4516 212 212 #matplotlib 2.0.x dumbed down Paired to 16 colors - 213 213 # this restores the pre 2.0 Paired color map found in matplotlib._cm.py 214 _Old_Paired_data = {'blue': [(0.0, 0.89019608497619629, 215 0.89019608497619629), (0.090909090909090912, 0.70588237047195435, 216 0.70588237047195435), (0.18181818181818182, 0.54117649793624878, 217 0.54117649793624878), (0.27272727272727271, 0.17254902422428131, 218 0.17254902422428131), (0.36363636363636365, 0.60000002384185791, 219 0.60000002384185791), (0.45454545454545453, 0.10980392247438431, 220 0.10980392247438431), (0.54545454545454541, 0.43529412150382996, 221 0.43529412150382996), (0.63636363636363635, 0.0, 0.0), 222 (0.72727272727272729, 0.83921569585800171, 0.83921569585800171), 223 (0.81818181818181823, 0.60392159223556519, 0.60392159223556519), 224 (0.90909090909090906, 0.60000002384185791, 0.60000002384185791), (1.0, 225 0.15686275064945221, 0.15686275064945221)], 226 227 'green': [(0.0, 0.80784314870834351, 0.80784314870834351), 228 (0.090909090909090912, 0.47058823704719543, 0.47058823704719543), 229 (0.18181818181818182, 0.87450981140136719, 0.87450981140136719), 230 (0.27272727272727271, 0.62745100259780884, 0.62745100259780884), 231 (0.36363636363636365, 0.60392159223556519, 0.60392159223556519), 232 (0.45454545454545453, 0.10196078568696976, 0.10196078568696976), 233 (0.54545454545454541, 0.74901962280273438, 0.74901962280273438), 234 (0.63636363636363635, 0.49803921580314636, 0.49803921580314636), 235 (0.72727272727272729, 0.69803923368453979, 0.69803923368453979), 236 (0.81818181818181823, 0.23921568691730499, 0.23921568691730499), 237 (0.90909090909090906, 1.0, 1.0), (1.0, 0.3490196168422699, 238 0.3490196168422699)], 239 240 'red': [(0.0, 0.65098041296005249, 0.65098041296005249), 241 (0.090909090909090912, 0.12156862765550613, 0.12156862765550613), 242 (0.18181818181818182, 0.69803923368453979, 0.69803923368453979), 243 (0.27272727272727271, 0.20000000298023224, 0.20000000298023224), 244 (0.36363636363636365, 0.9843137264251709, 0.9843137264251709), 245 (0.45454545454545453, 0.89019608497619629, 0.89019608497619629), 246 (0.54545454545454541, 0.99215686321258545, 0.99215686321258545), 247 (0.63636363636363635, 1.0, 1.0), (0.72727272727272729, 248 0.7921568751335144, 0.7921568751335144), (0.81818181818181823, 249 0.41568627953529358, 0.41568627953529358), (0.90909090909090906, 250 1.0, 1.0), (1.0, 0.69411766529083252, 0.69411766529083252)]} 251 #This can be done on request for other colors 252 mpl.cm.register_cmap('Paired',data=_Old_Paired_data,lut=256) 253 blue = [tuple(1.-np.array(item)) for item in _Old_Paired_data['blue']] 254 blue.reverse() 255 green = [tuple(1.-np.array(item)) for item in _Old_Paired_data['green']] 256 green.reverse() 257 red = [tuple(1.-np.array(item)) for item in _Old_Paired_data['red']] 258 red.reverse() 259 Old_Paired_data_r = {'blue':blue,'green':green,'red':red} 260 mpl.cm.register_cmap('Paired_r',data=Old_Paired_data_r,lut=256) 261 214 try: 215 _Old_Paired_data = {'blue': [(0.0, 0.89019608497619629, 216 0.89019608497619629), (0.090909090909090912, 0.70588237047195435, 217 0.70588237047195435), (0.18181818181818182, 0.54117649793624878, 218 0.54117649793624878), (0.27272727272727271, 0.17254902422428131, 219 0.17254902422428131), (0.36363636363636365, 0.60000002384185791, 220 0.60000002384185791), (0.45454545454545453, 0.10980392247438431, 221 0.10980392247438431), (0.54545454545454541, 0.43529412150382996, 222 0.43529412150382996), (0.63636363636363635, 0.0, 0.0), 223 (0.72727272727272729, 0.83921569585800171, 0.83921569585800171), 224 (0.81818181818181823, 0.60392159223556519, 0.60392159223556519), 225 (0.90909090909090906, 0.60000002384185791, 0.60000002384185791), (1.0, 226 0.15686275064945221, 0.15686275064945221)], 227 228 'green': [(0.0, 0.80784314870834351, 0.80784314870834351), 229 (0.090909090909090912, 0.47058823704719543, 0.47058823704719543), 230 (0.18181818181818182, 0.87450981140136719, 0.87450981140136719), 231 (0.27272727272727271, 0.62745100259780884, 0.62745100259780884), 232 (0.36363636363636365, 0.60392159223556519, 0.60392159223556519), 233 (0.45454545454545453, 0.10196078568696976, 0.10196078568696976), 234 (0.54545454545454541, 0.74901962280273438, 0.74901962280273438), 235 (0.63636363636363635, 0.49803921580314636, 0.49803921580314636), 236 (0.72727272727272729, 0.69803923368453979, 0.69803923368453979), 237 (0.81818181818181823, 0.23921568691730499, 0.23921568691730499), 238 (0.90909090909090906, 1.0, 1.0), (1.0, 0.3490196168422699, 239 0.3490196168422699)], 240 241 'red': [(0.0, 0.65098041296005249, 0.65098041296005249), 242 (0.090909090909090912, 0.12156862765550613, 0.12156862765550613), 243 (0.18181818181818182, 0.69803923368453979, 0.69803923368453979), 244 (0.27272727272727271, 0.20000000298023224, 0.20000000298023224), 245 (0.36363636363636365, 0.9843137264251709, 0.9843137264251709), 246 (0.45454545454545453, 0.89019608497619629, 0.89019608497619629), 247 (0.54545454545454541, 0.99215686321258545, 0.99215686321258545), 248 (0.63636363636363635, 1.0, 1.0), (0.72727272727272729, 249 0.7921568751335144, 0.7921568751335144), (0.81818181818181823, 250 0.41568627953529358, 0.41568627953529358), (0.90909090909090906, 251 1.0, 1.0), (1.0, 0.69411766529083252, 0.69411766529083252)]} 252 #This can be done on request for other colors 253 mpl.cm.register_cmap('Paired',data=_Old_Paired_data,lut=256) 254 blue = [tuple(1.-np.array(item)) for item in _Old_Paired_data['blue']] 255 blue.reverse() 256 green = [tuple(1.-np.array(item)) for item in _Old_Paired_data['green']] 257 green.reverse() 258 red = [tuple(1.-np.array(item)) for item in _Old_Paired_data['red']] 259 red.reverse() 260 Old_Paired_data_r = {'blue':blue,'green':green,'red':red} 261 mpl.cm.register_cmap('Paired_r',data=Old_Paired_data_r,lut=256) 262 except: # causes error in Sphinx 263 pass 262 264 # options for publication-quality Rietveld plots 263 265 plotOpt = {}
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