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Wed 28 Aug 21:38:52 CEST 2024

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sbosse 2024-08-28 21:43:09 +02:00
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src/SimNDT/graphics/colormaps.py Normal file
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__author__ = 'Miguel'
import numpy as np
import matplotlib.cm as cm
import glumpy
def make_N_colors(cmap_name, N):
cmap = cm.get_cmap(cmap_name, N)
return cmap(np.arange(N))[:,:-1]
jet = cm.jet(range(0,256))
r,g,b,a = jet[:,0], jet[:,1], jet[:,2],jet[:,3]
value = np.linspace(0.0,1.0,256, endpoint=True)
CMAP_JET = glumpy.colormap.Colormap((value[0], (r[0],g[0],b[0])),
(value[16], (r[16],g[16],b[16])),
(value[32], (r[32],g[32],b[32])),
(value[48], (r[48],g[48],b[48])),
(value[64], (r[64],g[64],b[64])),
(value[96], (r[96],g[96],b[96])),
(value[112], (r[112],g[112],b[112])),
(value[128], (r[128],g[128],b[128])),
(value[144], (r[144],g[144],b[144])),
(value[160], (r[160],g[160],b[160])),
(value[176], (r[176],g[176],b[176])),
(value[192], (r[192],g[192],b[192])),
(value[208], (r[208],g[208],b[208])),
(value[224], (r[224],g[224],b[224])),
(value[240], (r[240],g[240],b[240])),
(value[255], (r[255],g[255],b[255])))
jet = cm.gray(range(0,256))
r,g,b,a = jet[:,0], jet[:,1], jet[:,2],jet[:,3]
value = np.linspace(0.0,1.0,256, endpoint=True)
CMAP_GRAY = glumpy.colormap.Colormap((value[0], (r[0],g[0],b[0])),
(value[16], (r[16],g[16],b[16])),
(value[32], (r[32],g[32],b[32])),
(value[48], (r[48],g[48],b[48])),
(value[64], (r[64],g[64],b[64])),
(value[96], (r[96],g[96],b[96])),
(value[112], (r[112],g[112],b[112])),
(value[128], (r[128],g[128],b[128])),
(value[144], (r[144],g[144],b[144])),
(value[160], (r[160],g[160],b[160])),
(value[176], (r[176],g[176],b[176])),
(value[192], (r[192],g[192],b[192])),
(value[208], (r[208],g[208],b[208])),
(value[224], (r[224],g[224],b[224])),
(value[240], (r[240],g[240],b[240])),
(value[255], (r[255],g[255],b[255])) )
CMAP_RAINBOW = glumpy.colormap.Colormap((value[0], (1.,1.,1.)),
(value[16], (0.74603175, 0.84126984, 0.96825397)),
(value[32], (0.47619048, 0.68253968, 0.92063492)),
(value[40], (0.36507937, 0.58730159, 0.87301587 )),
(value[48], (0.26984127, 0.46031746, 0.77777778)),
(value[64], (0.0952381 , 0.20634921, 0.6031746 )),
(value[80], (0.06349206, 0.20634921, 0.50793651 )),
(value[96], (0.19047619, 0.46031746, 0.50793651)),
(value[112], (0.34920635, 0.68253968, 0.44444444)),
(value[120], (0.50793651, 0.74603175, 0.34920635 )),
(value[128], (0.66666667, 0.80952381, 0.26984127)),
(value[144], (1. , 0.95238095, 0.07936508)),
(value[160], (0.92063492, 0.74603175, 0.22222222)),
(value[176], (0.84126984, 0.53968254, 0.36507937)),
(value[180], ( 0.82539683, 0.49206349, 0.3968254 )),
(value[192], (0.82539683, 0.47619048, 0.3015873)),
(value[208], (0.80952381, 0.44444444, 0.15873016)),
(value[220], (0.76190476, 0.3968254 , 0.07936508 )),
(value[224], (0.74603175, 0.34920635, 0.0952381)),
(value[240], (0.65079365, 0.17460317, 0.0952381)),
(value[255], (0.57142857, 0.04761905, 0.11111111)) )
from matplotlib.colors import LinearSegmentedColormap
arcoiris = ( (1.,1.,1.),
(0.74603175, 0.84126984, 0.96825397),
(0.47619048, 0.68253968, 0.92063492),
(0.36507937, 0.58730159, 0.87301587),
(0.26984127, 0.46031746, 0.77777778),
(0.0952381 , 0.20634921, 0.6031746 ),
(0.06349206, 0.20634921, 0.50793651),
(0.19047619, 0.46031746, 0.50793651),
(0.34920635, 0.68253968, 0.44444444),
(0.50793651, 0.74603175, 0.34920635),
(0.66666667, 0.80952381, 0.26984127),
(1. , 0.95238095, 0.07936508),
(0.92063492, 0.74603175, 0.22222222),
(0.84126984, 0.53968254, 0.36507937),
(0.82539683, 0.49206349, 0.3968254 ),
(0.82539683, 0.47619048, 0.3015873 ),
(0.80952381, 0.44444444, 0.15873016),
(0.76190476, 0.3968254 , 0.07936508),
(0.74603175, 0.34920635, 0.0952381 ),
(0.65079365, 0.17460317, 0.0952381 ),
(0.57142857, 0.04761905, 0.11111111) )
cdict = {'red':arcoiris,
'green':arcoiris,
'blue':arcoiris
}
cmap_arcoiris = LinearSegmentedColormap('my_colormap',cdict,256)