[ 0.89387855, 0.91384221, 0.38787579],
[ 0.90281044, 0.9152864 , 0.4026516 ],
[ 0.9114428 , 0.91681782, 0.41750661],
[ 0.91979668, 0.91843305, 0.43241222],
[ 0.9278919 , 0.92012856, 0.44734592],
[ 0.93574701, 0.9219008 , 0.46229025],
[ 0.94337929, 0.92374622, 0.47723183],
[ 0.95080035, 0.92566398, 0.49214548],
[ 0.95802315, 0.92765211, 0.50701436],
[ 0.96506661, 0.92970447, 0.52184916],
[ 0.97194366, 0.93181788, 0.53664677],
[ 0.97866617, 0.93398929, 0.55140545],
[ 0.98524501, 0.93621585, 0.56612453],
[ 0.99169013, 0.93849488, 0.58080418]]
test_cm = LinearSegmentedColormap.from_list(__file__, cm_data)
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
try:
from pycam02ucs.cm.viscm import viscm
viscm(test_cm)
except ImportError:
print("pycam02ucs not found, falling back on simple display")
plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto',
cmap=test_cm)
plt.show()
[9.30296221e-01, 9.30240661e-01, 9.26978742e-01],
[9.35433539e-01, 9.35391088e-01, 9.32107291e-01],
[9.40590976e-01, 9.40561659e-01, 9.37255908e-01],
[9.45768702e-01, 9.45752544e-01, 9.42424761e-01],
[9.50966892e-01, 9.50963915e-01, 9.47614025e-01],
[9.56185720e-01, 9.56195948e-01, 9.52823871e-01],
[9.61425362e-01, 9.61448818e-01, 9.58054477e-01],
[9.66685997e-01, 9.66722702e-01, 9.63306019e-01],
[9.71967804e-01, 9.72017780e-01, 9.68578676e-01],
[9.77270966e-01, 9.77334232e-01, 9.73872629e-01],
[9.82595664e-01, 9.82672242e-01, 9.79188059e-01],
[9.87942085e-01, 9.88031995e-01, 9.84525152e-01],
[9.93310415e-01, 9.93413675e-01, 9.89884093e-01],
[9.98700843e-01, 9.98817473e-01, 9.95265069e-01]]
test_cm = LinearSegmentedColormap.from_list(__file__, cm_data)
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
try:
from pycam02ucs.cm.viscm import viscm
viscm(test_cm)
except ImportError:
print("pycam02ucs not found, falling back on simple display")
plt.imshow(np.linspace(0, 100, 256)[None, :],
aspect='auto',
cmap=test_cm)
plt.show()
[0.7184095238, 0.7411333333, 0.3904761905],
[0.7524857143, 0.7384, 0.3768142857], [0.7858428571, 0.7355666667,
0.3632714286], [0.8185047619, 0.7327333333, 0.3497904762],
[0.8506571429, 0.7299, 0.3360285714], [0.8824333333, 0.7274333333, 0.3217],
[0.9139333333, 0.7257857143, 0.3062761905], [0.9449571429, 0.7261142857,
0.2886428571], [0.9738952381, 0.7313952381, 0.266647619],
[0.9937714286, 0.7454571429, 0.240347619], [0.9990428571, 0.7653142857,
0.2164142857], [0.9955333333, 0.7860571429, 0.196652381],
[0.988, 0.8066, 0.1793666667], [0.9788571429, 0.8271428571, 0.1633142857],
[0.9697, 0.8481380952, 0.147452381], [0.9625857143, 0.8705142857, 0.1309],
[0.9588714286, 0.8949, 0.1132428571], [0.9598238095, 0.9218333333,
0.0948380952], [0.9661, 0.9514428571, 0.0755333333],
[0.9763, 0.9831, 0.0538]]
parula_map = LinearSegmentedColormap.from_list('parula', cm_data)
# For use of "viscm view"
test_cm = parula_map
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
try:
from pycam02ucs.cm.viscm import viscm
viscm(parula_map)
except ImportError:
print("pycam02ucs not found, falling back on simple display")
plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto',
cmap=parula_map)
plt.show()
[0.7184095238, 0.7411333333, 0.3904761905],
[0.7524857143, 0.7384, 0.3768142857], [0.7858428571, 0.7355666667,
0.3632714286], [0.8185047619, 0.7327333333, 0.3497904762],
[0.8506571429, 0.7299, 0.3360285714], [0.8824333333, 0.7274333333, 0.3217],
[0.9139333333, 0.7257857143, 0.3062761905], [0.9449571429, 0.7261142857,
0.2886428571], [0.9738952381, 0.7313952381, 0.266647619],
[0.9937714286, 0.7454571429, 0.240347619], [0.9990428571, 0.7653142857,
0.2164142857], [0.9955333333, 0.7860571429, 0.196652381],
[0.988, 0.8066, 0.1793666667], [0.9788571429, 0.8271428571, 0.1633142857],
[0.9697, 0.8481380952, 0.147452381], [0.9625857143, 0.8705142857, 0.1309],
[0.9588714286, 0.8949, 0.1132428571], [0.9598238095, 0.9218333333,
0.0948380952], [0.9661, 0.9514428571, 0.0755333333],
[0.9763, 0.9831, 0.0538]]
parula_map = LinearSegmentedColormap.from_list('parula', data)
# For use of "viscm view"
test_cm = parula_map
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
try:
from pycam02ucs.cm.viscm import viscm
viscm(parula_map)
except ImportError:
print("pycam02ucs not found, falling back on simple display")
plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto',
cmap=parula_map)
plt.show()