Example #1
0
       [ 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()
Example #2
0
           [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()
Example #3
0
 [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()
Example #4
0
 [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()