Has someone made the Parula colormap in Matplotlib?

In case the link that @tom provided breaks, here it is:

from matplotlib.colors import LinearSegmentedColormapcm_data = [[0.2081, 0.1663, 0.5292], [0.2116238095, 0.1897809524, 0.5776761905],  [0.212252381, 0.2137714286, 0.6269714286], [0.2081, 0.2386, 0.6770857143],  [0.1959047619, 0.2644571429, 0.7279], [0.1707285714, 0.2919380952,   0.779247619], [0.1252714286, 0.3242428571, 0.8302714286],  [0.0591333333, 0.3598333333, 0.8683333333], [0.0116952381, 0.3875095238,   0.8819571429], [0.0059571429, 0.4086142857, 0.8828428571],  [0.0165142857, 0.4266, 0.8786333333], [0.032852381, 0.4430428571,   0.8719571429], [0.0498142857, 0.4585714286, 0.8640571429],  [0.0629333333, 0.4736904762, 0.8554380952], [0.0722666667, 0.4886666667,   0.8467], [0.0779428571, 0.5039857143, 0.8383714286],  [0.079347619, 0.5200238095, 0.8311809524], [0.0749428571, 0.5375428571,   0.8262714286], [0.0640571429, 0.5569857143, 0.8239571429],  [0.0487714286, 0.5772238095, 0.8228285714], [0.0343428571, 0.5965809524,   0.819852381], [0.0265, 0.6137, 0.8135], [0.0238904762, 0.6286619048,   0.8037619048], [0.0230904762, 0.6417857143, 0.7912666667],  [0.0227714286, 0.6534857143, 0.7767571429], [0.0266619048, 0.6641952381,   0.7607190476], [0.0383714286, 0.6742714286, 0.743552381],  [0.0589714286, 0.6837571429, 0.7253857143],  [0.0843, 0.6928333333, 0.7061666667], [0.1132952381, 0.7015, 0.6858571429],  [0.1452714286, 0.7097571429, 0.6646285714], [0.1801333333, 0.7176571429,   0.6424333333], [0.2178285714, 0.7250428571, 0.6192619048],  [0.2586428571, 0.7317142857, 0.5954285714], [0.3021714286, 0.7376047619,   0.5711857143], [0.3481666667, 0.7424333333, 0.5472666667],  [0.3952571429, 0.7459, 0.5244428571], [0.4420095238, 0.7480809524,   0.5033142857], [0.4871238095, 0.7490619048, 0.4839761905],  [0.5300285714, 0.7491142857, 0.4661142857], [0.5708571429, 0.7485190476,   0.4493904762], [0.609852381, 0.7473142857, 0.4336857143],  [0.6473, 0.7456, 0.4188], [0.6834190476, 0.7434761905, 0.4044333333],  [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_mapif __name__ == "__main__":    import matplotlib.pyplot as plt    import numpy as np    try:        from viscm import viscm        viscm(parula_map)    except ImportError:        print("viscm not found, falling back on simple display")        plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto',                   cmap=parula_map)    plt.show()

It looks like Matlab has changed the values slightly since this was answered in 2016. Here are the Parula values from the latest version of Matlab (R2019b Update 3):

cm_data = [[0.2422, 0.1504, 0.6603],[0.2444, 0.1534, 0.6728],[0.2464, 0.1569, 0.6847],[0.2484, 0.1607, 0.6961],[0.2503, 0.1648, 0.7071],[0.2522, 0.1689, 0.7179],[0.254, 0.1732, 0.7286],[0.2558, 0.1773, 0.7393],[0.2576, 0.1814, 0.7501],[0.2594, 0.1854, 0.761],[0.2611, 0.1893, 0.7719],[0.2628, 0.1932, 0.7828],[0.2645, 0.1972, 0.7937],[0.2661, 0.2011, 0.8043],[0.2676, 0.2052, 0.8148],[0.2691, 0.2094, 0.8249],[0.2704, 0.2138, 0.8346],[0.2717, 0.2184, 0.8439],[0.2729, 0.2231, 0.8528],[0.274, 0.228, 0.8612],[0.2749, 0.233, 0.8692],[0.2758, 0.2382, 0.8767],[0.2766, 0.2435, 0.884],[0.2774, 0.2489, 0.8908],[0.2781, 0.2543, 0.8973],[0.2788, 0.2598, 0.9035],[0.2794, 0.2653, 0.9094],[0.2798, 0.2708, 0.915],[0.2802, 0.2764, 0.9204],[0.2806, 0.2819, 0.9255],[0.2809, 0.2875, 0.9305],[0.2811, 0.293, 0.9352],[0.2813, 0.2985, 0.9397],[0.2814, 0.304, 0.9441],[0.2814, 0.3095, 0.9483],[0.2813, 0.315, 0.9524],[0.2811, 0.3204, 0.9563],[0.2809, 0.3259, 0.96],[0.2807, 0.3313, 0.9636],[0.2803, 0.3367, 0.967],[0.2798, 0.3421, 0.9702],[0.2791, 0.3475, 0.9733],[0.2784, 0.3529, 0.9763],[0.2776, 0.3583, 0.9791],[0.2766, 0.3638, 0.9817],[0.2754, 0.3693, 0.984],[0.2741, 0.3748, 0.9862],[0.2726, 0.3804, 0.9881],[0.271, 0.386, 0.9898],[0.2691, 0.3916, 0.9912],[0.267, 0.3973, 0.9924],[0.2647, 0.403, 0.9935],[0.2621, 0.4088, 0.9946],[0.2591, 0.4145, 0.9955],[0.2556, 0.4203, 0.9965],[0.2517, 0.4261, 0.9974],[0.2473, 0.4319, 0.9983],[0.2424, 0.4378, 0.9991],[0.2369, 0.4437, 0.9996],[0.2311, 0.4497, 0.9995],[0.225, 0.4559, 0.9985],[0.2189, 0.462, 0.9968],[0.2128, 0.4682, 0.9948],[0.2066, 0.4743, 0.9926],[0.2006, 0.4803, 0.9906],[0.195, 0.4861, 0.9887],[0.1903, 0.4919, 0.9867],[0.1869, 0.4975, 0.9844],[0.1847, 0.503, 0.9819],[0.1831, 0.5084, 0.9793],[0.1818, 0.5138, 0.9766],[0.1806, 0.5191, 0.9738],[0.1795, 0.5244, 0.9709],[0.1785, 0.5296, 0.9677],[0.1778, 0.5349, 0.9641],[0.1773, 0.5401, 0.9602],[0.1768, 0.5452, 0.956],[0.1764, 0.5504, 0.9516],[0.1755, 0.5554, 0.9473],[0.174, 0.5605, 0.9432],[0.1716, 0.5655, 0.9393],[0.1686, 0.5705, 0.9357],[0.1649, 0.5755, 0.9323],[0.161, 0.5805, 0.9289],[0.1573, 0.5854, 0.9254],[0.154, 0.5902, 0.9218],[0.1513, 0.595, 0.9182],[0.1492, 0.5997, 0.9147],[0.1475, 0.6043, 0.9113],[0.1461, 0.6089, 0.908],[0.1446, 0.6135, 0.905],[0.1429, 0.618, 0.9022],[0.1408, 0.6226, 0.8998],[0.1383, 0.6272, 0.8975],[0.1354, 0.6317, 0.8953],[0.1321, 0.6363, 0.8932],[0.1288, 0.6408, 0.891],[0.1253, 0.6453, 0.8887],[0.1219, 0.6497, 0.8862],[0.1185, 0.6541, 0.8834],[0.1152, 0.6584, 0.8804],[0.1119, 0.6627, 0.877],[0.1085, 0.6669, 0.8734],[0.1048, 0.671, 0.8695],[0.1009, 0.675, 0.8653],[0.0964, 0.6789, 0.8609],[0.0914, 0.6828, 0.8562],[0.0855, 0.6865, 0.8513],[0.0789, 0.6902, 0.8462],[0.0713, 0.6938, 0.8409],[0.0628, 0.6972, 0.8355],[0.0535, 0.7006, 0.8299],[0.0433, 0.7039, 0.8242],[0.0328, 0.7071, 0.8183],[0.0234, 0.7103, 0.8124],[0.0155, 0.7133, 0.8064],[0.0091, 0.7163, 0.8003],[0.0046, 0.7192, 0.7941],[0.0019, 0.722, 0.7878],[0.0009, 0.7248, 0.7815],[0.0018, 0.7275, 0.7752],[0.0046, 0.7301, 0.7688],[0.0094, 0.7327, 0.7623],[0.0162, 0.7352, 0.7558],[0.0253, 0.7376, 0.7492],[0.0369, 0.74, 0.7426],[0.0504, 0.7423, 0.7359],[0.0638, 0.7446, 0.7292],[0.077, 0.7468, 0.7224],[0.0899, 0.7489, 0.7156],[0.1023, 0.751, 0.7088],[0.1141, 0.7531, 0.7019],[0.1252, 0.7552, 0.695],[0.1354, 0.7572, 0.6881],[0.1448, 0.7593, 0.6812],[0.1532, 0.7614, 0.6741],[0.1609, 0.7635, 0.6671],[0.1678, 0.7656, 0.6599],[0.1741, 0.7678, 0.6527],[0.1799, 0.7699, 0.6454],[0.1853, 0.7721, 0.6379],[0.1905, 0.7743, 0.6303],[0.1954, 0.7765, 0.6225],[0.2003, 0.7787, 0.6146],[0.2061, 0.7808, 0.6065],[0.2118, 0.7828, 0.5983],[0.2178, 0.7849, 0.5899],[0.2244, 0.7869, 0.5813],[0.2318, 0.7887, 0.5725],[0.2401, 0.7905, 0.5636],[0.2491, 0.7922, 0.5546],[0.2589, 0.7937, 0.5454],[0.2695, 0.7951, 0.536],[0.2809, 0.7964, 0.5266],[0.2929, 0.7975, 0.517],[0.3052, 0.7985, 0.5074],[0.3176, 0.7994, 0.4975],[0.3301, 0.8002, 0.4876],[0.3424, 0.8009, 0.4774],[0.3548, 0.8016, 0.4669],[0.3671, 0.8021, 0.4563],[0.3795, 0.8026, 0.4454],[0.3921, 0.8029, 0.4344],[0.405, 0.8031, 0.4233],[0.4184, 0.803, 0.4122],[0.4322, 0.8028, 0.4013],[0.4463, 0.8024, 0.3904],[0.4608, 0.8018, 0.3797],[0.4753, 0.8011, 0.3691],[0.4899, 0.8002, 0.3586],[0.5044, 0.7993, 0.348],[0.5187, 0.7982, 0.3374],[0.5329, 0.797, 0.3267],[0.547, 0.7957, 0.3159],[0.5609, 0.7943, 0.305],[0.5748, 0.7929, 0.2941],[0.5886, 0.7913, 0.2833],[0.6024, 0.7896, 0.2726],[0.6161, 0.7878, 0.2622],[0.6297, 0.7859, 0.2521],[0.6433, 0.7839, 0.2423],[0.6567, 0.7818, 0.2329],[0.6701, 0.7796, 0.2239],[0.6833, 0.7773, 0.2155],[0.6963, 0.775, 0.2075],[0.7091, 0.7727, 0.1998],[0.7218, 0.7703, 0.1924],[0.7344, 0.7679, 0.1852],[0.7468, 0.7654, 0.1782],[0.759, 0.7629, 0.1717],[0.771, 0.7604, 0.1658],[0.7829, 0.7579, 0.1608],[0.7945, 0.7554, 0.157],[0.806, 0.7529, 0.1546],[0.8172, 0.7505, 0.1535],[0.8281, 0.7481, 0.1536],[0.8389, 0.7457, 0.1546],[0.8495, 0.7435, 0.1564],[0.86, 0.7413, 0.1587],[0.8703, 0.7392, 0.1615],[0.8804, 0.7372, 0.165],[0.8903, 0.7353, 0.1695],[0.9, 0.7336, 0.1749],[0.9093, 0.7321, 0.1815],[0.9184, 0.7308, 0.189],[0.9272, 0.7298, 0.1973],[0.9357, 0.729, 0.2061],[0.944, 0.7285, 0.2151],[0.9523, 0.7284, 0.2237],[0.9606, 0.7285, 0.2312],[0.9689, 0.7292, 0.2373],[0.977, 0.7304, 0.2418],[0.9842, 0.733, 0.2446],[0.99, 0.7365, 0.2429],[0.9946, 0.7407, 0.2394],[0.9966, 0.7458, 0.2351],[0.9971, 0.7513, 0.2309],[0.9972, 0.7569, 0.2267],[0.9971, 0.7626, 0.2224],[0.9969, 0.7683, 0.2181],[0.9966, 0.774, 0.2138],[0.9962, 0.7798, 0.2095],[0.9957, 0.7856, 0.2053],[0.9949, 0.7915, 0.2012],[0.9938, 0.7974, 0.1974],[0.9923, 0.8034, 0.1939],[0.9906, 0.8095, 0.1906],[0.9885, 0.8156, 0.1875],[0.9861, 0.8218, 0.1846],[0.9835, 0.828, 0.1817],[0.9807, 0.8342, 0.1787],[0.9778, 0.8404, 0.1757],[0.9748, 0.8467, 0.1726],[0.972, 0.8529, 0.1695],[0.9694, 0.8591, 0.1665],[0.9671, 0.8654, 0.1636],[0.9651, 0.8716, 0.1608],[0.9634, 0.8778, 0.1582],[0.9619, 0.884, 0.1557],[0.9608, 0.8902, 0.1532],[0.9601, 0.8963, 0.1507],[0.9596, 0.9023, 0.148],[0.9595, 0.9084, 0.145],[0.9597, 0.9143, 0.1418],[0.9601, 0.9203, 0.1382],[0.9608, 0.9262, 0.1344],[0.9618, 0.932, 0.1304],[0.9629, 0.9379, 0.1261],[0.9642, 0.9437, 0.1216],[0.9657, 0.9494, 0.1168],[0.9674, 0.9552, 0.1116],[0.9692, 0.9609, 0.1061],[0.9711, 0.9667, 0.1001],[0.973, 0.9724, 0.0938],[0.9749, 0.9782, 0.0872],[0.9769, 0.9839, 0.0805]]

NOTE: This is a copy of "parula" from MATLAB. I don't claim any rights to this data, but The Mathworks does. Consult them and/or a lawyer if you want to use it.