/
option_c.py
282 lines (275 loc) · 16.6 KB
/
option_c.py
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from matplotlib.colors import LinearSegmentedColormap
from numpy import nan, inf
# Used to reconstruct the colormap in viscm
parameters = {'xp': [-5.4895292543686764, 14.790571669586654, 82.5546687431056, 29.15531114139253, -4.1316769886951761, -13.002076438907238],
'yp': [-35.948168839230306, -42.273376159885785, -28.845467523197698, 52.03426124197, 36.832712600868973, 40.792291220556734],
'min_JK': 16.8314150305,
'max_JK': 95}
cm_data = [[ 5.03832136e-02, 2.98028976e-02, 5.27974883e-01],
[ 6.35363639e-02, 2.84259729e-02, 5.33123681e-01],
[ 7.53531234e-02, 2.72063728e-02, 5.38007001e-01],
[ 8.62217979e-02, 2.61253206e-02, 5.42657691e-01],
[ 9.63786097e-02, 2.51650976e-02, 5.47103487e-01],
[ 1.05979704e-01, 2.43092436e-02, 5.51367851e-01],
[ 1.15123641e-01, 2.35562500e-02, 5.55467728e-01],
[ 1.23902903e-01, 2.28781011e-02, 5.59423480e-01],
[ 1.32380720e-01, 2.22583774e-02, 5.63250116e-01],
[ 1.40603076e-01, 2.16866674e-02, 5.66959485e-01],
[ 1.48606527e-01, 2.11535876e-02, 5.70561711e-01],
[ 1.56420649e-01, 2.06507174e-02, 5.74065446e-01],
[ 1.64069722e-01, 2.01705326e-02, 5.77478074e-01],
[ 1.71573925e-01, 1.97063415e-02, 5.80805890e-01],
[ 1.78950212e-01, 1.92522243e-02, 5.84054243e-01],
[ 1.86212958e-01, 1.88029767e-02, 5.87227661e-01],
[ 1.93374449e-01, 1.83540593e-02, 5.90329954e-01],
[ 2.00445260e-01, 1.79015512e-02, 5.93364304e-01],
[ 2.07434551e-01, 1.74421086e-02, 5.96333341e-01],
[ 2.14350298e-01, 1.69729276e-02, 5.99239207e-01],
[ 2.21196750e-01, 1.64970484e-02, 6.02083323e-01],
[ 2.27982971e-01, 1.60071509e-02, 6.04867403e-01],
[ 2.34714537e-01, 1.55015065e-02, 6.07592438e-01],
[ 2.41396253e-01, 1.49791041e-02, 6.10259089e-01],
[ 2.48032377e-01, 1.44393586e-02, 6.12867743e-01],
[ 2.54626690e-01, 1.38820918e-02, 6.15418537e-01],
[ 2.61182562e-01, 1.33075156e-02, 6.17911385e-01],
[ 2.67702993e-01, 1.27162163e-02, 6.20345997e-01],
[ 2.74190665e-01, 1.21091423e-02, 6.22721903e-01],
[ 2.80647969e-01, 1.14875915e-02, 6.25038468e-01],
[ 2.87076059e-01, 1.08554862e-02, 6.27294975e-01],
[ 2.93477695e-01, 1.02128849e-02, 6.29490490e-01],
[ 2.99855122e-01, 9.56079551e-03, 6.31623923e-01],
[ 3.06209825e-01, 8.90185346e-03, 6.33694102e-01],
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[ 9.92505214e-01, 7.77966775e-01, 1.52854862e-01],
[ 9.91897270e-01, 7.84239120e-01, 1.51041581e-01],
[ 9.91208680e-01, 7.90536569e-01, 1.49376885e-01],
[ 9.90438793e-01, 7.96858775e-01, 1.47869810e-01],
[ 9.89587065e-01, 8.03205337e-01, 1.46529128e-01],
[ 9.88647741e-01, 8.09578605e-01, 1.45357284e-01],
[ 9.87620557e-01, 8.15977942e-01, 1.44362644e-01],
[ 9.86509366e-01, 8.22400620e-01, 1.43556679e-01],
[ 9.85314198e-01, 8.28845980e-01, 1.42945116e-01],
[ 9.84031139e-01, 8.35315360e-01, 1.42528388e-01],
[ 9.82652820e-01, 8.41811730e-01, 1.42302653e-01],
[ 9.81190389e-01, 8.48328902e-01, 1.42278607e-01],
[ 9.79643637e-01, 8.54866468e-01, 1.42453425e-01],
[ 9.77994918e-01, 8.61432314e-01, 1.42808191e-01],
[ 9.76264977e-01, 8.68015998e-01, 1.43350944e-01],
[ 9.74443038e-01, 8.74622194e-01, 1.44061156e-01],
[ 9.72530009e-01, 8.81250063e-01, 1.44922913e-01],
[ 9.70532932e-01, 8.87896125e-01, 1.45918663e-01],
[ 9.68443477e-01, 8.94563989e-01, 1.47014438e-01],
[ 9.66271225e-01, 9.01249365e-01, 1.48179639e-01],
[ 9.64021057e-01, 9.07950379e-01, 1.49370428e-01],
[ 9.61681481e-01, 9.14672479e-01, 1.50520343e-01],
[ 9.59275646e-01, 9.21406537e-01, 1.51566019e-01],
[ 9.56808068e-01, 9.28152065e-01, 1.52409489e-01],
[ 9.54286813e-01, 9.34907730e-01, 1.52921158e-01],
[ 9.51726083e-01, 9.41670605e-01, 1.52925363e-01],
[ 9.49150533e-01, 9.48434900e-01, 1.52177604e-01],
[ 9.46602270e-01, 9.55189860e-01, 1.50327944e-01],
[ 9.44151742e-01, 9.61916487e-01, 1.46860789e-01],
[ 9.41896120e-01, 9.68589814e-01, 1.40955606e-01],
[ 9.40015097e-01, 9.75158357e-01, 1.31325517e-01]]
test_cm = LinearSegmentedColormap.from_list(__file__, cm_data)
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
try:
from viscm import viscm
viscm(test_cm)
except ImportError:
print("viscm not found, falling back on simple display")
plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto',
cmap=test_cm)
plt.show()