Python: matplotlib模块 源码阅读&理解
来源：互联网 发布：数据采集卡软件 编辑：程序博客网 时间：2024/05/20 20:17
在写如下代码的时候，matplotlib模块引起了我的兴趣。
#!/usr/bin/env python# -*- coding: utf-8 -*-import matplotlib as mplimport matplotlib.cmimport matplotlib.colorsdef color_image(image, num_classes=20): norm = mpl.colors.Normalize(vmin=0., vmax=num_classes) mycm = mpl.cm.get_cmap('coolwarm') return mycm(norm(image))因为想进一步了解该模块的使用，我开始阅读matplotlib模块对应的实现源码。matplotlib模块实现源码的位置在 ./anaconda2/lib/python2.7/site-packages/matplotlib/cm.py 。
"""Nothing here but dictionaries for generating LinearSegmentedColormaps,and a dictionary of these dictionaries.Documentation for each is in pyplot.colormaps()"""from __future__ import (absolute_import, division, print_function, unicode_literals)import numpy as np_binary_data = { 'red': ((0., 1., 1.), (1., 0., 0.)), 'green': ((0., 1., 1.), (1., 0., 0.)), 'blue': ((0., 1., 1.), (1., 0., 0.)) }_autumn_data = {'red': ((0., 1.0, 1.0), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (1.0, 1.0, 1.0)), 'blue': ((0., 0., 0.), (1.0, 0., 0.))}_bone_data = {'red': ((0., 0., 0.), (0.746032, 0.652778, 0.652778), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (0.365079, 0.319444, 0.319444), (0.746032, 0.777778, 0.777778), (1.0, 1.0, 1.0)), 'blue': ((0., 0., 0.), (0.365079, 0.444444, 0.444444), (1.0, 1.0, 1.0))}_cool_data = {'red': ((0., 0., 0.), (1.0, 1.0, 1.0)), 'green': ((0., 1., 1.), (1.0, 0., 0.)), 'blue': ((0., 1., 1.), (1.0, 1., 1.))}_copper_data = {'red': ((0., 0., 0.), (0.809524, 1.000000, 1.000000), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (1.0, 0.7812, 0.7812)), 'blue': ((0., 0., 0.), (1.0, 0.4975, 0.4975))}_flag_data = { 'red': lambda x: 0.75 * np.sin((x * 31.5 + 0.25) * np.pi) + 0.5, 'green': lambda x: np.sin(x * 31.5 * np.pi), 'blue': lambda x: 0.75 * np.sin((x * 31.5 - 0.25) * np.pi) + 0.5,}_prism_data = { 'red': lambda x: 0.75 * np.sin((x * 20.9 + 0.25) * np.pi) + 0.67, 'green': lambda x: 0.75 * np.sin((x * 20.9 - 0.25) * np.pi) + 0.33, 'blue': lambda x: -1.1 * np.sin((x * 20.9) * np.pi),}def cubehelix(gamma=1.0, s=0.5, r=-1.5, h=1.0): """Return custom data dictionary of (r,g,b) conversion functions, which can be used with :func:`register_cmap`, for the cubehelix color scheme. Unlike most other color schemes cubehelix was designed by D.A. Green to be monotonically increasing in terms of perceived brightness. Also, when printed on a black and white postscript printer, the scheme results in a greyscale with monotonically increasing brightness. This color scheme is named cubehelix because the r,g,b values produced can be visualised as a squashed helix around the diagonal in the r,g,b color cube. For a unit color cube (i.e. 3-D coordinates for r,g,b each in the range 0 to 1) the color scheme starts at (r,g,b) = (0,0,0), i.e. black, and finishes at (r,g,b) = (1,1,1), i.e. white. For some fraction *x*, between 0 and 1, the color is the corresponding grey value at that fraction along the black to white diagonal (x,x,x) plus a color element. This color element is calculated in a plane of constant perceived intensity and controlled by the following parameters. Optional keyword arguments: ========= ======================================================= Keyword Description ========= ======================================================= gamma gamma factor to emphasise either low intensity values (gamma < 1), or high intensity values (gamma > 1); defaults to 1.0. s the start color; defaults to 0.5 (i.e. purple). r the number of r,g,b rotations in color that are made from the start to the end of the color scheme; defaults to -1.5 (i.e. -> B -> G -> R -> B). h the hue parameter which controls how saturated the colors are. If this parameter is zero then the color scheme is purely a greyscale; defaults to 1.0. ========= ======================================================= """ def get_color_function(p0, p1): def color(x): # Apply gamma factor to emphasise low or high intensity values xg = x ** gamma # Calculate amplitude and angle of deviation from the black # to white diagonal in the plane of constant # perceived intensity. a = h * xg * (1 - xg) / 2 phi = 2 * np.pi * (s / 3 + r * x) return xg + a * (p0 * np.cos(phi) + p1 * np.sin(phi)) return color return { 'red': get_color_function(-0.14861, 1.78277), 'green': get_color_function(-0.29227, -0.90649), 'blue': get_color_function(1.97294, 0.0), }_cubehelix_data = cubehelix()_bwr_data = ((0.0, 0.0, 1.0), (1.0, 1.0, 1.0), (1.0, 0.0, 0.0))_brg_data = ((0.0, 0.0, 1.0), (1.0, 0.0, 0.0), (0.0, 1.0, 0.0))# Gnuplot palette functionsgfunc = { 0: lambda x: 0, 1: lambda x: 0.5, 2: lambda x: 1, 3: lambda x: x, 4: lambda x: x ** 2, 5: lambda x: x ** 3, 6: lambda x: x ** 4, 7: lambda x: np.sqrt(x), 8: lambda x: np.sqrt(np.sqrt(x)), 9: lambda x: np.sin(x * np.pi / 2), 10: lambda x: np.cos(x * np.pi / 2), 11: lambda x: np.abs(x - 0.5), 12: lambda x: (2 * x - 1) ** 2, 13: lambda x: np.sin(x * np.pi), 14: lambda x: np.abs(np.cos(x * np.pi)), 15: lambda x: np.sin(x * 2 * np.pi), 16: lambda x: np.cos(x * 2 * np.pi), 17: lambda x: np.abs(np.sin(x * 2 * np.pi)), 18: lambda x: np.abs(np.cos(x * 2 * np.pi)), 19: lambda x: np.abs(np.sin(x * 4 * np.pi)), 20: lambda x: np.abs(np.cos(x * 4 * np.pi)), 21: lambda x: 3 * x, 22: lambda x: 3 * x - 1, 23: lambda x: 3 * x - 2, 24: lambda x: np.abs(3 * x - 1), 25: lambda x: np.abs(3 * x - 2), 26: lambda x: (3 * x - 1) / 2, 27: lambda x: (3 * x - 2) / 2, 28: lambda x: np.abs((3 * x - 1) / 2), 29: lambda x: np.abs((3 * x - 2) / 2), 30: lambda x: x / 0.32 - 0.78125, 31: lambda x: 2 * x - 0.84, 32: lambda x: gfunc32(x), 33: lambda x: np.abs(2 * x - 0.5), 34: lambda x: 2 * x, 35: lambda x: 2 * x - 0.5, 36: lambda x: 2 * x - 1.}def gfunc32(x): ret = np.zeros(len(x)) m = (x < 0.25) ret[m] = 4 * x[m] m = (x >= 0.25) & (x < 0.92) ret[m] = -2 * x[m] + 1.84 m = (x >= 0.92) ret[m] = x[m] / 0.08 - 11.5 return ret_gnuplot_data = { 'red': gfunc[7], 'green': gfunc[5], 'blue': gfunc[15],}_gnuplot2_data = { 'red': gfunc[30], 'green': gfunc[31], 'blue': gfunc[32],}_ocean_data = { 'red': gfunc[23], 'green': gfunc[28], 'blue': gfunc[3],}_afmhot_data = { 'red': gfunc[34], 'green': gfunc[35], 'blue': gfunc[36],}_rainbow_data = { 'red': gfunc[33], 'green': gfunc[13], 'blue': gfunc[10],}_seismic_data = ( (0.0, 0.0, 0.3), (0.0, 0.0, 1.0), (1.0, 1.0, 1.0), (1.0, 0.0, 0.0), (0.5, 0.0, 0.0))_terrain_data = ( (0.00, (0.2, 0.2, 0.6)), (0.15, (0.0, 0.6, 1.0)), (0.25, (0.0, 0.8, 0.4)), (0.50, (1.0, 1.0, 0.6)), (0.75, (0.5, 0.36, 0.33)), (1.00, (1.0, 1.0, 1.0)))_gray_data = {'red': ((0., 0, 0), (1., 1, 1)), 'green': ((0., 0, 0), (1., 1, 1)), 'blue': ((0., 0, 0), (1., 1, 1))}_hot_data = {'red': ((0., 0.0416, 0.0416), (0.365079, 1.000000, 1.000000), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (0.365079, 0.000000, 0.000000), (0.746032, 1.000000, 1.000000), (1.0, 1.0, 1.0)), 'blue': ((0., 0., 0.), (0.746032, 0.000000, 0.000000), (1.0, 1.0, 1.0))}_hsv_data = {'red': ((0., 1., 1.), (0.158730, 1.000000, 1.000000), (0.174603, 0.968750, 0.968750), (0.333333, 0.031250, 0.031250), (0.349206, 0.000000, 0.000000), (0.666667, 0.000000, 0.000000), (0.682540, 0.031250, 0.031250), (0.841270, 0.968750, 0.968750), (0.857143, 1.000000, 1.000000), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (0.158730, 0.937500, 0.937500), (0.174603, 1.000000, 1.000000), (0.507937, 1.000000, 1.000000), (0.666667, 0.062500, 0.062500), (0.682540, 0.000000, 0.000000), (1.0, 0., 0.)), 'blue': ((0., 0., 0.), (0.333333, 0.000000, 0.000000), (0.349206, 0.062500, 0.062500), (0.507937, 1.000000, 1.000000), (0.841270, 1.000000, 1.000000), (0.857143, 0.937500, 0.937500), (1.0, 0.09375, 0.09375))}_jet_data = {'red': ((0., 0, 0), (0.35, 0, 0), (0.66, 1, 1), (0.89, 1, 1), (1, 0.5, 0.5)), 'green': ((0., 0, 0), (0.125, 0, 0), (0.375, 1, 1), (0.64, 1, 1), (0.91, 0, 0), (1, 0, 0)), 'blue': ((0., 0.5, 0.5), (0.11, 1, 1), (0.34, 1, 1), (0.65, 0, 0), (1, 0, 0))}_pink_data = {'red': ((0., 0.1178, 0.1178), (0.015873, 0.195857, 0.195857), (0.031746, 0.250661, 0.250661), (0.047619, 0.295468, 0.295468), (0.063492, 0.334324, 0.334324), (0.079365, 0.369112, 0.369112), (0.095238, 0.400892, 0.400892), (0.111111, 0.430331, 0.430331), (0.126984, 0.457882, 0.457882), (0.142857, 0.483867, 0.483867), (0.158730, 0.508525, 0.508525), (0.174603, 0.532042, 0.532042), (0.190476, 0.554563, 0.554563), (0.206349, 0.576204, 0.576204), (0.222222, 0.597061, 0.597061), (0.238095, 0.617213, 0.617213), (0.253968, 0.636729, 0.636729), (0.269841, 0.655663, 0.655663), (0.285714, 0.674066, 0.674066), (0.301587, 0.691980, 0.691980), (0.317460, 0.709441, 0.709441), (0.333333, 0.726483, 0.726483), (0.349206, 0.743134, 0.743134), (0.365079, 0.759421, 0.759421), (0.380952, 0.766356, 0.766356), (0.396825, 0.773229, 0.773229), (0.412698, 0.780042, 0.780042), (0.428571, 0.786796, 0.786796), (0.444444, 0.793492, 0.793492), (0.460317, 0.800132, 0.800132), (0.476190, 0.806718, 0.806718), (0.492063, 0.813250, 0.813250), (0.507937, 0.819730, 0.819730), (0.523810, 0.826160, 0.826160), (0.539683, 0.832539, 0.832539), (0.555556, 0.838870, 0.838870), (0.571429, 0.845154, 0.845154), (0.587302, 0.851392, 0.851392), (0.603175, 0.857584, 0.857584), (0.619048, 0.863731, 0.863731), (0.634921, 0.869835, 0.869835), (0.650794, 0.875897, 0.875897), (0.666667, 0.881917, 0.881917), (0.682540, 0.887896, 0.887896), (0.698413, 0.893835, 0.893835), (0.714286, 0.899735, 0.899735), (0.730159, 0.905597, 0.905597), (0.746032, 0.911421, 0.911421), (0.761905, 0.917208, 0.917208), (0.777778, 0.922958, 0.922958), (0.793651, 0.928673, 0.928673), (0.809524, 0.934353, 0.934353), (0.825397, 0.939999, 0.939999), (0.841270, 0.945611, 0.945611), (0.857143, 0.951190, 0.951190), (0.873016, 0.956736, 0.956736), (0.888889, 0.962250, 0.962250), (0.904762, 0.967733, 0.967733), (0.920635, 0.973185, 0.973185), (0.936508, 0.978607, 0.978607), (0.952381, 0.983999, 0.983999), (0.968254, 0.989361, 0.989361), (0.984127, 0.994695, 0.994695), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (0.015873, 0.102869, 0.102869), (0.031746, 0.145479, 0.145479), (0.047619, 0.178174, 0.178174), (0.063492, 0.205738, 0.205738), (0.079365, 0.230022, 0.230022), (0.095238, 0.251976, 0.251976), (0.111111, 0.272166, 0.272166), (0.126984, 0.290957, 0.290957), (0.142857, 0.308607, 0.308607), (0.158730, 0.325300, 0.325300), (0.174603, 0.341178, 0.341178), (0.190476, 0.356348, 0.356348), (0.206349, 0.370899, 0.370899), (0.222222, 0.384900, 0.384900), (0.238095, 0.398410, 0.398410), (0.253968, 0.411476, 0.411476), (0.269841, 0.424139, 0.424139), (0.285714, 0.436436, 0.436436), (0.301587, 0.448395, 0.448395), (0.317460, 0.460044, 0.460044), (0.333333, 0.471405, 0.471405), (0.349206, 0.482498, 0.482498), (0.365079, 0.493342, 0.493342), (0.380952, 0.517549, 0.517549), (0.396825, 0.540674, 0.540674), (0.412698, 0.562849, 0.562849), (0.428571, 0.584183, 0.584183), (0.444444, 0.604765, 0.604765), (0.460317, 0.624669, 0.624669), (0.476190, 0.643958, 0.643958), (0.492063, 0.662687, 0.662687), (0.507937, 0.680900, 0.680900), (0.523810, 0.698638, 0.698638), (0.539683, 0.715937, 0.715937), (0.555556, 0.732828, 0.732828), (0.571429, 0.749338, 0.749338), (0.587302, 0.765493, 0.765493), (0.603175, 0.781313, 0.781313), (0.619048, 0.796819, 0.796819), (0.634921, 0.812029, 0.812029), (0.650794, 0.826960, 0.826960), (0.666667, 0.841625, 0.841625), (0.682540, 0.856040, 0.856040), (0.698413, 0.870216, 0.870216), (0.714286, 0.884164, 0.884164), (0.730159, 0.897896, 0.897896), (0.746032, 0.911421, 0.911421), (0.761905, 0.917208, 0.917208), (0.777778, 0.922958, 0.922958), (0.793651, 0.928673, 0.928673), (0.809524, 0.934353, 0.934353), (0.825397, 0.939999, 0.939999), (0.841270, 0.945611, 0.945611), (0.857143, 0.951190, 0.951190), (0.873016, 0.956736, 0.956736), (0.888889, 0.962250, 0.962250), (0.904762, 0.967733, 0.967733), (0.920635, 0.973185, 0.973185), (0.936508, 0.978607, 0.978607), (0.952381, 0.983999, 0.983999), (0.968254, 0.989361, 0.989361), (0.984127, 0.994695, 0.994695), (1.0, 1.0, 1.0)), 'blue': ((0., 0., 0.), (0.015873, 0.102869, 0.102869), (0.031746, 0.145479, 0.145479), (0.047619, 0.178174, 0.178174), (0.063492, 0.205738, 0.205738), (0.079365, 0.230022, 0.230022), (0.095238, 0.251976, 0.251976), (0.111111, 0.272166, 0.272166), (0.126984, 0.290957, 0.290957), (0.142857, 0.308607, 0.308607), (0.158730, 0.325300, 0.325300), (0.174603, 0.341178, 0.341178), (0.190476, 0.356348, 0.356348), (0.206349, 0.370899, 0.370899), (0.222222, 0.384900, 0.384900), (0.238095, 0.398410, 0.398410), (0.253968, 0.411476, 0.411476), (0.269841, 0.424139, 0.424139), (0.285714, 0.436436, 0.436436), (0.301587, 0.448395, 0.448395), (0.317460, 0.460044, 0.460044), (0.333333, 0.471405, 0.471405), (0.349206, 0.482498, 0.482498), (0.365079, 0.493342, 0.493342), (0.380952, 0.503953, 0.503953), (0.396825, 0.514344, 0.514344), (0.412698, 0.524531, 0.524531), (0.428571, 0.534522, 0.534522), (0.444444, 0.544331, 0.544331), (0.460317, 0.553966, 0.553966), (0.476190, 0.563436, 0.563436), (0.492063, 0.572750, 0.572750), (0.507937, 0.581914, 0.581914), (0.523810, 0.590937, 0.590937), (0.539683, 0.599824, 0.599824), (0.555556, 0.608581, 0.608581), (0.571429, 0.617213, 0.617213), (0.587302, 0.625727, 0.625727), (0.603175, 0.634126, 0.634126), (0.619048, 0.642416, 0.642416), (0.634921, 0.650600, 0.650600), (0.650794, 0.658682, 0.658682), (0.666667, 0.666667, 0.666667), (0.682540, 0.674556, 0.674556), (0.698413, 0.682355, 0.682355), (0.714286, 0.690066, 0.690066), (0.730159, 0.697691, 0.697691), (0.746032, 0.705234, 0.705234), (0.761905, 0.727166, 0.727166), (0.777778, 0.748455, 0.748455), (0.793651, 0.769156, 0.769156), (0.809524, 0.789314, 0.789314), (0.825397, 0.808969, 0.808969), (0.841270, 0.828159, 0.828159), (0.857143, 0.846913, 0.846913), (0.873016, 0.865261, 0.865261), (0.888889, 0.883229, 0.883229), (0.904762, 0.900837, 0.900837), (0.920635, 0.918109, 0.918109), (0.936508, 0.935061, 0.935061), (0.952381, 0.951711, 0.951711), (0.968254, 0.968075, 0.968075), (0.984127, 0.984167, 0.984167), (1.0, 1.0, 1.0))}_spring_data = {'red': ((0., 1., 1.), (1.0, 1.0, 1.0)), 'green': ((0., 0., 0.), (1.0, 1.0, 1.0)), 'blue': ((0., 1., 1.), (1.0, 0.0, 0.0))}_summer_data = {'red': ((0., 0., 0.), (1.0, 1.0, 1.0)), 'green': ((0., 0.5, 0.5), (1.0, 1.0, 1.0)), 'blue': ((0., 0.4, 0.4), (1.0, 0.4, 0.4))}_winter_data = {'red': ((0., 0., 0.), (1.0, 0.0, 0.0)), 'green': ((0., 0., 0.), (1.0, 1.0, 1.0)), 'blue': ((0., 1., 1.), (1.0, 0.5, 0.5))}_nipy_spectral_data = { 'red': [(0.0, 0.0, 0.0), (0.05, 0.4667, 0.4667), (0.10, 0.5333, 0.5333), (0.15, 0.0, 0.0), (0.20, 0.0, 0.0), (0.25, 0.0, 0.0), (0.30, 0.0, 0.0), (0.35, 0.0, 0.0), (0.40, 0.0, 0.0), (0.45, 0.0, 0.0), (0.50, 0.0, 0.0), (0.55, 0.0, 0.0), (0.60, 0.0, 0.0), (0.65, 0.7333, 0.7333), (0.70, 0.9333, 0.9333), (0.75, 1.0, 1.0), (0.80, 1.0, 1.0), (0.85, 1.0, 1.0), (0.90, 0.8667, 0.8667), (0.95, 0.80, 0.80), (1.0, 0.80, 0.80)], 'green': [(0.0, 0.0, 0.0), (0.05, 0.0, 0.0), (0.10, 0.0, 0.0), (0.15, 0.0, 0.0), (0.20, 0.0, 0.0), (0.25, 0.4667, 0.4667), (0.30, 0.6000, 0.6000), (0.35, 0.6667, 0.6667), (0.40, 0.6667, 0.6667), (0.45, 0.6000, 0.6000), (0.50, 0.7333, 0.7333), (0.55, 0.8667, 0.8667), (0.60, 1.0, 1.0), (0.65, 1.0, 1.0), (0.70, 0.9333, 0.9333), (0.75, 0.8000, 0.8000), (0.80, 0.6000, 0.6000), (0.85, 0.0, 0.0), (0.90, 0.0, 0.0), (0.95, 0.0, 0.0), (1.0, 0.80, 0.80)], 'blue': [(0.0, 0.0, 0.0), (0.05, 0.5333, 0.5333), (0.10, 0.6000, 0.6000), (0.15, 0.6667, 0.6667), (0.20, 0.8667, 0.8667), (0.25, 0.8667, 0.8667), (0.30, 0.8667, 0.8667), (0.35, 0.6667, 0.6667), (0.40, 0.5333, 0.5333), (0.45, 0.0, 0.0), (0.5, 0.0, 0.0), (0.55, 0.0, 0.0), (0.60, 0.0, 0.0), (0.65, 0.0, 0.0), (0.70, 0.0, 0.0), (0.75, 0.0, 0.0), (0.80, 0.0, 0.0), (0.85, 0.0, 0.0), (0.90, 0.0, 0.0), (0.95, 0.0, 0.0), (1.0, 0.80, 0.80)],}# 34 colormaps based on color specifications and designs# developed by Cynthia Brewer (http://colorbrewer.org).# The ColorBrewer palettes have been included under the terms# of an Apache-stype license (for details, see the file# LICENSE_COLORBREWER in the license directory of the matplotlib# source distribution)._Accent_data = {'blue': [(0.0, 0.49803921580314636,0.49803921580314636), (0.14285714285714285, 0.83137255907058716,0.83137255907058716), (0.2857142857142857, 0.52549022436141968,0.52549022436141968), (0.42857142857142855, 0.60000002384185791,0.60000002384185791), (0.5714285714285714, 0.69019609689712524,0.69019609689712524), (0.7142857142857143, 0.49803921580314636,0.49803921580314636), (0.8571428571428571, 0.090196080505847931,0.090196080505847931), (1.0, 0.40000000596046448,0.40000000596046448)], 'green': [(0.0, 0.78823530673980713, 0.78823530673980713), (0.14285714285714285, 0.68235296010971069, 0.68235296010971069), (0.2857142857142857, 0.75294119119644165, 0.75294119119644165), (0.42857142857142855, 1.0, 1.0), (0.5714285714285714, 0.42352941632270813, 0.42352941632270813), (0.7142857142857143, 0.0078431377187371254, 0.0078431377187371254), (0.8571428571428571, 0.35686275362968445, 0.35686275362968445), (1.0, 0.40000000596046448, 0.40000000596046448)], 'red': [(0.0, 0.49803921580314636, 0.49803921580314636), (0.14285714285714285, 0.7450980544090271, 0.7450980544090271), (0.2857142857142857, 0.99215686321258545, 0.99215686321258545), (0.42857142857142855, 1.0, 1.0), (0.5714285714285714, 0.21960784494876862, 0.21960784494876862), (0.7142857142857143, 0.94117647409439087, 0.94117647409439087), (0.8571428571428571, 0.74901962280273438, 0.74901962280273438), (1.0, 0.40000000596046448, 0.40000000596046448)]}_Blues_data = {'blue': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418,0.9686274528503418), (0.25, 0.93725490570068359, 0.93725490570068359),(0.375, 0.88235294818878174, 0.88235294818878174), (0.5,0.83921569585800171, 0.83921569585800171), (0.625, 0.7764706015586853,0.7764706015586853), (0.75, 0.70980393886566162, 0.70980393886566162),(0.875, 0.61176472902297974, 0.61176472902297974), (1.0,0.41960784792900085, 0.41960784792900085)], 'green': [(0.0, 0.9843137264251709, 0.9843137264251709), (0.125, 0.92156863212585449, 0.92156863212585449), (0.25, 0.85882353782653809, 0.85882353782653809), (0.375, 0.7921568751335144, 0.7921568751335144), (0.5, 0.68235296010971069, 0.68235296010971069), (0.625, 0.57254904508590698, 0.57254904508590698), (0.75, 0.44313725829124451, 0.44313725829124451), (0.875, 0.31764706969261169, 0.31764706969261169), (1.0, 0.18823529779911041, 0.18823529779911041)], 'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125, 0.87058824300765991, 0.87058824300765991), (0.25, 0.7764706015586853, 0.7764706015586853), (0.375, 0.61960786581039429, 0.61960786581039429), (0.5, 0.41960784792900085, 0.41960784792900085), (0.625, 0.25882354378700256, 0.25882354378700256), (0.75, 0.12941177189350128, 0.12941177189350128), (0.875, 0.031372550874948502, 0.031372550874948502), (1.0, 0.031372550874948502, 0.031372550874948502)]}_BrBG_data = {'blue': [(0.0, 0.019607843831181526,0.019607843831181526), (0.10000000000000001, 0.039215687662363052,0.039215687662363052), (0.20000000000000001, 0.17647059261798859,0.17647059261798859), (0.29999999999999999, 0.49019607901573181,0.49019607901573181), (0.40000000000000002, 0.76470589637756348,0.76470589637756348), (0.5, 0.96078431606292725, 0.96078431606292725),(0.59999999999999998, 0.89803922176361084, 0.89803922176361084),(0.69999999999999996, 0.75686275959014893, 0.75686275959014893),(0.80000000000000004, 0.56078433990478516, 0.56078433990478516),(0.90000000000000002, 0.36862745881080627, 0.36862745881080627), (1.0,0.18823529779911041, 0.18823529779911041)], 'green': [(0.0, 0.18823529779911041, 0.18823529779911041), (0.10000000000000001, 0.31764706969261169, 0.31764706969261169), (0.20000000000000001, 0.5058823823928833, 0.5058823823928833), (0.29999999999999999, 0.7607843279838562, 0.7607843279838562), (0.40000000000000002, 0.90980392694473267, 0.90980392694473267), (0.5, 0.96078431606292725, 0.96078431606292725), (0.59999999999999998, 0.91764706373214722, 0.91764706373214722), (0.69999999999999996, 0.80392158031463623, 0.80392158031463623), (0.80000000000000004, 0.59215688705444336, 0.59215688705444336), (0.90000000000000002, 0.40000000596046448, 0.40000000596046448), (1.0, 0.23529411852359772, 0.23529411852359772)], 'red': [(0.0, 0.32941177487373352, 0.32941177487373352), (0.10000000000000001, 0.54901963472366333, 0.54901963472366333), (0.20000000000000001, 0.74901962280273438, 0.74901962280273438), (0.29999999999999999, 0.87450981140136719, 0.87450981140136719), (0.40000000000000002, 0.96470588445663452, 0.96470588445663452), (0.5, 0.96078431606292725, 0.96078431606292725), (0.59999999999999998, 0.78039216995239258, 0.78039216995239258), (0.69999999999999996, 0.50196081399917603, 0.50196081399917603), (0.80000000000000004, 0.20784313976764679, 0.20784313976764679), (0.90000000000000002, 0.0039215688593685627, 0.0039215688593685627), (1.0, 0.0, 0.0)]}_BuGn_data = {'blue': [(0.0, 0.99215686321258545,0.99215686321258545), (0.125, 0.97647058963775635,0.97647058963775635), (0.25, 0.90196079015731812,0.90196079015731812), (0.375, 0.78823530673980713,0.78823530673980713), (0.5, 0.64313727617263794, 0.64313727617263794),(0.625, 0.46274510025978088, 0.46274510025978088), (0.75,0.27058824896812439, 0.27058824896812439), (0.875,0.17254902422428131, 0.17254902422428131), (1.0, 0.10588235408067703,0.10588235408067703)], 'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125, 0.96078431606292725, 0.96078431606292725), (0.25, 0.92549020051956177, 0.92549020051956177), (0.375, 0.84705883264541626, 0.84705883264541626), (0.5, 0.7607843279838562, 0.7607843279838562), (0.625, 0.68235296010971069, 0.68235296010971069), (0.75, 0.54509806632995605, 0.54509806632995605), (0.875, 0.42745098471641541, 0.42745098471641541), (1.0, 0.26666668057441711, 0.26666668057441711)], 'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125, 0.89803922176361084, 0.89803922176361084), (0.25, 0.80000001192092896, 0.80000001192092896), (0.375, 0.60000002384185791, 0.60000002384185791), (0.5, 0.40000000596046448, 0.40000000596046448), (0.625, 0.25490197539329529, 0.25490197539329529), (0.75, 0.13725490868091583, 0.13725490868091583), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)]}_BuPu_data = {'blue': [(0.0, 0.99215686321258545,0.99215686321258545), (0.125, 0.95686274766921997,0.95686274766921997), (0.25, 0.90196079015731812,0.90196079015731812), (0.375, 0.85490196943283081,0.85490196943283081), (0.5, 0.7764706015586853, 0.7764706015586853),(0.625, 0.69411766529083252, 0.69411766529083252), (0.75,0.61568629741668701, 0.61568629741668701), (0.875,0.48627451062202454, 0.48627451062202454), (1.0, 0.29411765933036804,0.29411765933036804)], 'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125, 0.92549020051956177, 0.92549020051956177), (0.25, 0.82745099067687988, 0.82745099067687988), (0.375, 0.73725491762161255, 0.73725491762161255), (0.5, 0.58823531866073608, 0.58823531866073608), (0.625, 0.41960784792900085, 0.41960784792900085), (0.75, 0.25490197539329529, 0.25490197539329529), (0.875, 0.058823529630899429, 0.058823529630899429), (1.0, 0.0, 0.0)], 'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125, 0.87843137979507446, 0.87843137979507446), (0.25, 0.74901962280273438, 0.74901962280273438), (0.375, 0.61960786581039429, 0.61960786581039429), (0.5, 0.54901963472366333, 0.54901963472366333), (0.625, 0.54901963472366333, 0.54901963472366333), (0.75, 0.53333336114883423, 0.53333336114883423), (0.875, 0.5058823823928833, 0.5058823823928833), (1.0, 0.30196079611778259, 0.30196079611778259)]}_Dark2_data = {'blue': [(0.0, 0.46666666865348816,0.46666666865348816), (0.14285714285714285, 0.0078431377187371254,0.0078431377187371254), (0.2857142857142857, 0.70196080207824707,0.70196080207824707), (0.42857142857142855, 0.54117649793624878,0.54117649793624878), (0.5714285714285714, 0.11764705926179886,0.11764705926179886), (0.7142857142857143, 0.0078431377187371254,0.0078431377187371254), (0.8571428571428571, 0.11372549086809158,0.11372549086809158), (1.0, 0.40000000596046448,0.40000000596046448)], 'green': [(0.0, 0.61960786581039429, 0.61960786581039429), (0.14285714285714285, 0.37254902720451355, 0.37254902720451355), (0.2857142857142857, 0.43921568989753723, 0.43921568989753723), (0.42857142857142855, 0.16078431904315948, 0.16078431904315948), (0.5714285714285714, 0.65098041296005249, 0.65098041296005249), (0.7142857142857143, 0.67058825492858887, 0.67058825492858887), (0.8571428571428571, 0.46274510025978088, 0.46274510025978088), (1.0, 0.40000000596046448, 0.40000000596046448)], 'red': [(0.0, 0.10588235408067703, 0.10588235408067703), (0.14285714285714285, 0.85098040103912354, 0.85098040103912354), (0.2857142857142857, 0.45882353186607361, 0.45882353186607361), (0.42857142857142855, 0.90588235855102539, 0.90588235855102539), (0.5714285714285714, 0.40000000596046448, 0.40000000596046448), (0.7142857142857143, 0.90196079015731812, 0.90196079015731812), (0.8571428571428571, 0.65098041296005249, 0.65098041296005249), (1.0, 0.40000000596046448, 0.40000000596046448)]}_GnBu_data = {'blue': [(0.0, 0.94117647409439087,0.94117647409439087), (0.125, 0.85882353782653809,0.85882353782653809), (0.25, 0.77254903316497803,0.77254903316497803), (0.375, 0.70980393886566162,0.70980393886566162), (0.5, 0.76862746477127075, 0.76862746477127075),(0.625, 0.82745099067687988, 0.82745099067687988), (0.75,0.7450980544090271, 0.7450980544090271), (0.875, 0.67450982332229614,0.67450982332229614), (1.0, 0.5058823823928833, 0.5058823823928833)], 'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125, 0.9529411792755127, 0.9529411792755127), (0.25, 0.92156863212585449, 0.92156863212585449), (0.375, 0.86666667461395264, 0.86666667461395264), (0.5, 0.80000001192092896, 0.80000001192092896), (0.625, 0.70196080207824707, 0.70196080207824707), (0.75, 0.54901963472366333, 0.54901963472366333), (0.875, 0.40784314274787903, 0.40784314274787903), (1.0, 0.25098040699958801, 0.25098040699958801)], 'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125, 0.87843137979507446, 0.87843137979507446), (0.25, 0.80000001192092896, 0.80000001192092896), (0.375, 0.65882354974746704, 0.65882354974746704), (0.5, 0.48235294222831726, 0.48235294222831726), (0.625, 0.30588236451148987, 0.30588236451148987), (0.75, 0.16862745583057404, 0.16862745583057404), (0.875, 0.031372550874948502, 0.031372550874948502), (1.0, 0.031372550874948502, 0.031372550874948502)]}_Greens_data = {'blue': [(0.0, 0.96078431606292725,0.96078431606292725), (0.125, 0.87843137979507446,0.87843137979507446), (0.25, 0.75294119119644165,0.75294119119644165), (0.375, 0.60784316062927246,0.60784316062927246), (0.5, 0.46274510025978088, 0.46274510025978088),(0.625, 0.364705890417099, 0.364705890417099), (0.75,0.27058824896812439, 0.27058824896812439), (0.875,0.17254902422428131, 0.17254902422428131), (1.0, 0.10588235408067703,0.10588235408067703)], 'green': [(0.0, 0.98823529481887817, 0.98823529481887817), (0.125, 0.96078431606292725, 0.96078431606292725), (0.25, 0.91372549533843994, 0.91372549533843994), (0.375, 0.85098040103912354, 0.85098040103912354), (0.5, 0.76862746477127075, 0.76862746477127075), (0.625, 0.67058825492858887, 0.67058825492858887), (0.75, 0.54509806632995605, 0.54509806632995605), (0.875, 0.42745098471641541, 0.42745098471641541), (1.0, 0.26666668057441711, 0.26666668057441711)], 'red': [(0.0, 0.9686274528503418, 0.9686274528503418), (0.125, 0.89803922176361084, 0.89803922176361084), (0.25, 0.78039216995239258, 0.78039216995239258), (0.375, 0.63137257099151611, 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{'blue': [(0.0, 0.10980392247438431,0.10980392247438431), (0.125, 0.72156864404678345,0.72156864404678345), (0.25, 0.29019609093666077,0.29019609093666077), (0.375, 0.63921570777893066,0.63921570777893066), (0.5, 0.0, 0.0), (0.625, 0.20000000298023224,0.20000000298023224), (0.75, 0.15686275064945221,0.15686275064945221), (0.875, 0.74901962280273438,0.74901962280273438), (1.0, 0.60000002384185791,0.60000002384185791)], 'green': [(0.0, 0.10196078568696976, 0.10196078568696976), (0.125, 0.49411764740943909, 0.49411764740943909), (0.25, 0.68627452850341797, 0.68627452850341797), (0.375, 0.30588236451148987, 0.30588236451148987), (0.5, 0.49803921580314636, 0.49803921580314636), (0.625, 1.0, 1.0), (0.75, 0.33725491166114807, 0.33725491166114807), (0.875, 0.5058823823928833, 0.5058823823928833), (1.0, 0.60000002384185791, 0.60000002384185791)], 'red': [(0.0, 0.89411765336990356, 0.89411765336990356), (0.125, 0.21568627655506134, 0.21568627655506134), (0.25, 0.30196079611778259, 0.30196079611778259), (0.375, 0.59607845544815063, 0.59607845544815063), (0.5, 1.0, 1.0), (0.625, 1.0, 1.0), (0.75, 0.65098041296005249, 0.65098041296005249), (0.875, 0.9686274528503418, 0.9686274528503418), (1.0, 0.60000002384185791, 0.60000002384185791)]}_Set2_data = {'blue': [(0.0, 0.64705884456634521,0.64705884456634521), (0.14285714285714285, 0.38431373238563538,0.38431373238563538), (0.2857142857142857, 0.79607844352722168,0.79607844352722168), (0.42857142857142855, 0.76470589637756348,0.76470589637756348), (0.5714285714285714, 0.32941177487373352,0.32941177487373352), (0.7142857142857143, 0.18431372940540314,0.18431372940540314), (0.8571428571428571, 0.58039218187332153,0.58039218187332153), (1.0, 0.70196080207824707,0.70196080207824707)], 'green': [(0.0, 0.7607843279838562, 0.7607843279838562), (0.14285714285714285, 0.55294120311737061, 0.55294120311737061), (0.2857142857142857, 0.62745100259780884, 0.62745100259780884), (0.42857142857142855, 0.54117649793624878, 0.54117649793624878), (0.5714285714285714, 0.84705883264541626, 0.84705883264541626), (0.7142857142857143, 0.85098040103912354, 0.85098040103912354), (0.8571428571428571, 0.76862746477127075, 0.76862746477127075), (1.0, 0.70196080207824707, 0.70196080207824707)], 'red': [(0.0, 0.40000000596046448, 0.40000000596046448), (0.14285714285714285, 0.98823529481887817, 0.98823529481887817), (0.2857142857142857, 0.55294120311737061, 0.55294120311737061), (0.42857142857142855, 0.90588235855102539, 0.90588235855102539), (0.5714285714285714, 0.65098041296005249, 0.65098041296005249), (0.7142857142857143, 1.0, 1.0), (0.8571428571428571, 0.89803922176361084, 0.89803922176361084), (1.0, 0.70196080207824707, 0.70196080207824707)]}_Set3_data = {'blue': [(0.0, 0.78039216995239258,0.78039216995239258), (0.090909090909090912, 0.70196080207824707,0.70196080207824707), (0.18181818181818182, 0.85490196943283081,0.85490196943283081), (0.27272727272727271, 0.44705882668495178,0.44705882668495178), (0.36363636363636365, 0.82745099067687988,0.82745099067687988), (0.45454545454545453, 0.38431373238563538,0.38431373238563538), (0.54545454545454541, 0.4117647111415863,0.4117647111415863), (0.63636363636363635, 0.89803922176361084,0.89803922176361084), (0.72727272727272729, 0.85098040103912354,0.85098040103912354), (0.81818181818181823, 0.74117648601531982,0.74117648601531982), (0.90909090909090906, 0.77254903316497803,0.77254903316497803), (1.0, 0.43529412150382996,0.43529412150382996)], 'green': [(0.0, 0.82745099067687988, 0.82745099067687988), (0.090909090909090912, 1.0, 1.0), (0.18181818181818182, 0.729411780834198, 0.729411780834198), (0.27272727272727271, 0.50196081399917603, 0.50196081399917603), (0.36363636363636365, 0.69411766529083252, 0.69411766529083252), (0.45454545454545453, 0.70588237047195435, 0.70588237047195435), (0.54545454545454541, 0.87058824300765991, 0.87058824300765991), (0.63636363636363635, 0.80392158031463623, 0.80392158031463623), (0.72727272727272729, 0.85098040103912354, 0.85098040103912354), (0.81818181818181823, 0.50196081399917603, 0.50196081399917603), (0.90909090909090906, 0.92156863212585449, 0.92156863212585449), (1.0, 0.92941176891326904, 0.92941176891326904)], 'red': [(0.0, 0.55294120311737061, 0.55294120311737061), (0.090909090909090912, 1.0, 1.0), (0.18181818181818182, 0.7450980544090271, 0.7450980544090271), (0.27272727272727271, 0.9843137264251709, 0.9843137264251709), (0.36363636363636365, 0.50196081399917603, 0.50196081399917603), (0.45454545454545453, 0.99215686321258545, 0.99215686321258545), (0.54545454545454541, 0.70196080207824707, 0.70196080207824707), (0.63636363636363635, 0.98823529481887817, 0.98823529481887817), (0.72727272727272729, 0.85098040103912354, 0.85098040103912354), (0.81818181818181823, 0.73725491762161255, 0.73725491762161255), (0.90909090909090906, 0.80000001192092896, 0.80000001192092896), (1.0, 1.0, 1.0)]}_Spectral_data = {'blue': [(0.0, 0.25882354378700256,0.25882354378700256), (0.10000000000000001, 0.30980393290519714,0.30980393290519714), (0.20000000000000001, 0.26274511218070984,0.26274511218070984), (0.29999999999999999, 0.3803921639919281,0.3803921639919281), (0.40000000000000002, 0.54509806632995605,0.54509806632995605), (0.5, 0.74901962280273438, 0.74901962280273438),(0.59999999999999998, 0.59607845544815063, 0.59607845544815063),(0.69999999999999996, 0.64313727617263794, 0.64313727617263794),(0.80000000000000004, 0.64705884456634521, 0.64705884456634521),(0.90000000000000002, 0.74117648601531982, 0.74117648601531982), (1.0,0.63529413938522339, 0.63529413938522339)], 'green': [(0.0, 0.0039215688593685627, 0.0039215688593685627), (0.10000000000000001, 0.24313725531101227, 0.24313725531101227), (0.20000000000000001, 0.42745098471641541, 0.42745098471641541), (0.29999999999999999, 0.68235296010971069, 0.68235296010971069), (0.40000000000000002, 0.87843137979507446, 0.87843137979507446), (0.5, 1.0, 1.0), (0.59999999999999998, 0.96078431606292725, 0.96078431606292725), (0.69999999999999996, 0.86666667461395264, 0.86666667461395264), (0.80000000000000004, 0.7607843279838562, 0.7607843279838562), (0.90000000000000002, 0.53333336114883423, 0.53333336114883423), (1.0, 0.30980393290519714, 0.30980393290519714)], 'red': [(0.0, 0.61960786581039429, 0.61960786581039429), (0.10000000000000001, 0.83529412746429443, 0.83529412746429443), (0.20000000000000001, 0.95686274766921997, 0.95686274766921997), (0.29999999999999999, 0.99215686321258545, 0.99215686321258545), (0.40000000000000002, 0.99607843160629272, 0.99607843160629272), (0.5, 1.0, 1.0), (0.59999999999999998, 0.90196079015731812, 0.90196079015731812), (0.69999999999999996, 0.67058825492858887, 0.67058825492858887), (0.80000000000000004, 0.40000000596046448, 0.40000000596046448), (0.90000000000000002, 0.19607843458652496, 0.19607843458652496), (1.0, 0.36862745881080627, 0.36862745881080627)]}_YlGn_data = {'blue': [(0.0, 0.89803922176361084,0.89803922176361084), (0.125, 0.72549021244049072,0.72549021244049072), (0.25, 0.63921570777893066,0.63921570777893066), (0.375, 0.55686277151107788,0.55686277151107788), (0.5, 0.47450980544090271, 0.47450980544090271),(0.625, 0.364705890417099, 0.364705890417099), (0.75,0.26274511218070984, 0.26274511218070984), (0.875,0.21568627655506134, 0.21568627655506134), (1.0, 0.16078431904315948,0.16078431904315948)], 'green': [(0.0, 1.0, 1.0), (0.125, 0.98823529481887817, 0.98823529481887817), (0.25, 0.94117647409439087, 0.94117647409439087), (0.375, 0.86666667461395264, 0.86666667461395264), (0.5, 0.7764706015586853, 0.7764706015586853), (0.625, 0.67058825492858887, 0.67058825492858887), (0.75, 0.51764708757400513, 0.51764708757400513), (0.875, 0.40784314274787903, 0.40784314274787903), (1.0, 0.27058824896812439, 0.27058824896812439)], 'red': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418, 0.9686274528503418), (0.25, 0.85098040103912354, 0.85098040103912354), (0.375, 0.67843139171600342, 0.67843139171600342), (0.5, 0.47058823704719543, 0.47058823704719543), (0.625, 0.25490197539329529, 0.25490197539329529), (0.75, 0.13725490868091583, 0.13725490868091583), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)]}_YlGnBu_data = {'blue': [(0.0, 0.85098040103912354,0.85098040103912354), (0.125, 0.69411766529083252,0.69411766529083252), (0.25, 0.70588237047195435,0.70588237047195435), (0.375, 0.73333334922790527,0.73333334922790527), (0.5, 0.76862746477127075, 0.76862746477127075),(0.625, 0.75294119119644165, 0.75294119119644165), (0.75,0.65882354974746704, 0.65882354974746704), (0.875,0.58039218187332153, 0.58039218187332153), (1.0, 0.34509804844856262,0.34509804844856262)], 'green': [(0.0, 1.0, 1.0), (0.125, 0.97254902124404907, 0.97254902124404907), (0.25, 0.91372549533843994, 0.91372549533843994), (0.375, 0.80392158031463623, 0.80392158031463623), (0.5, 0.7137255072593689, 0.7137255072593689), (0.625, 0.56862747669219971, 0.56862747669219971), (0.75, 0.36862745881080627, 0.36862745881080627), (0.875, 0.20392157137393951, 0.20392157137393951), (1.0, 0.11372549086809158, 0.11372549086809158)], 'red': [(0.0, 1.0, 1.0), (0.125, 0.92941176891326904, 0.92941176891326904), (0.25, 0.78039216995239258, 0.78039216995239258), (0.375, 0.49803921580314636, 0.49803921580314636), (0.5, 0.25490197539329529, 0.25490197539329529), (0.625, 0.11372549086809158, 0.11372549086809158), (0.75, 0.13333334028720856, 0.13333334028720856), (0.875, 0.14509804546833038, 0.14509804546833038), (1.0, 0.031372550874948502, 0.031372550874948502)]}_YlOrBr_data = {'blue': [(0.0, 0.89803922176361084,0.89803922176361084), (0.125, 0.73725491762161255,0.73725491762161255), (0.25, 0.56862747669219971,0.56862747669219971), (0.375, 0.30980393290519714,0.30980393290519714), (0.5, 0.16078431904315948, 0.16078431904315948),(0.625, 0.078431375324726105, 0.078431375324726105), (0.75,0.0078431377187371254, 0.0078431377187371254), (0.875,0.015686275437474251, 0.015686275437474251), (1.0,0.023529412224888802, 0.023529412224888802)], 'green': [(0.0, 1.0, 1.0), (0.125, 0.9686274528503418, 0.9686274528503418), (0.25, 0.89019608497619629, 0.89019608497619629), (0.375, 0.76862746477127075, 0.76862746477127075), (0.5, 0.60000002384185791, 0.60000002384185791), (0.625, 0.43921568989753723, 0.43921568989753723), (0.75, 0.29803922772407532, 0.29803922772407532), (0.875, 0.20392157137393951, 0.20392157137393951), (1.0, 0.14509804546833038, 0.14509804546833038)], 'red': [(0.0, 1.0, 1.0), (0.125, 1.0, 1.0), (0.25, 0.99607843160629272, 0.99607843160629272), (0.375, 0.99607843160629272, 0.99607843160629272), (0.5, 0.99607843160629272, 0.99607843160629272), (0.625, 0.92549020051956177, 0.92549020051956177), (0.75, 0.80000001192092896, 0.80000001192092896), (0.875, 0.60000002384185791, 0.60000002384185791), (1.0, 0.40000000596046448, 0.40000000596046448)]}_YlOrRd_data = {'blue': [(0.0, 0.80000001192092896,0.80000001192092896), (0.125, 0.62745100259780884,0.62745100259780884), (0.25, 0.46274510025978088,0.46274510025978088), (0.375, 0.29803922772407532,0.29803922772407532), (0.5, 0.23529411852359772, 0.23529411852359772),(0.625, 0.16470588743686676, 0.16470588743686676), (0.75,0.10980392247438431, 0.10980392247438431), (0.875,0.14901961386203766, 0.14901961386203766), (1.0, 0.14901961386203766,0.14901961386203766)], 'green': [(0.0, 1.0, 1.0), (0.125, 0.92941176891326904, 0.92941176891326904), (0.25, 0.85098040103912354, 0.85098040103912354), (0.375, 0.69803923368453979, 0.69803923368453979), (0.5, 0.55294120311737061, 0.55294120311737061), (0.625, 0.30588236451148987, 0.30588236451148987), (0.75, 0.10196078568696976, 0.10196078568696976), (0.875, 0.0, 0.0), (1.0, 0.0, 0.0)], 'red': [(0.0, 1.0, 1.0), (0.125, 1.0, 1.0), (0.25, 0.99607843160629272, 0.99607843160629272), (0.375, 0.99607843160629272, 0.99607843160629272), (0.5, 0.99215686321258545, 0.99215686321258545), (0.625, 0.98823529481887817, 0.98823529481887817), (0.75, 0.89019608497619629, 0.89019608497619629), (0.875, 0.74117648601531982, 0.74117648601531982), (1.0, 0.50196081399917603, 0.50196081399917603)]}# The next 7 palettes are from the Yorick scientific visalisation package,# an evolution of the GIST package, both by David H. Munro.# They are released under a BSD-like license (see LICENSE_YORICK in# the license directory of the matplotlib source distribution).## Most palette functions have been reduced to simple function descriptions# by Reinier Heeres, since the rgb components were mostly straight lines.# gist_earth_data and gist_ncar_data were simplified by a script and some# manual effort._gist_earth_data = \{'red': ((0.0, 0.0, 0.0000),(0.2824, 0.1882, 0.1882),(0.4588, 0.2714, 0.2714),(0.5490, 0.4719, 0.4719),(0.6980, 0.7176, 0.7176),(0.7882, 0.7553, 0.7553),(1.0000, 0.9922, 0.9922),), 'green': ((0.0, 0.0, 0.0000),(0.0275, 0.0000, 0.0000),(0.1098, 0.1893, 0.1893),(0.1647, 0.3035, 0.3035),(0.2078, 0.3841, 0.3841),(0.2824, 0.5020, 0.5020),(0.5216, 0.6397, 0.6397),(0.6980, 0.7171, 0.7171),(0.7882, 0.6392, 0.6392),(0.7922, 0.6413, 0.6413),(0.8000, 0.6447, 0.6447),(0.8078, 0.6481, 0.6481),(0.8157, 0.6549, 0.6549),(0.8667, 0.6991, 0.6991),(0.8745, 0.7103, 0.7103),(0.8824, 0.7216, 0.7216),(0.8902, 0.7323, 0.7323),(0.8980, 0.7430, 0.7430),(0.9412, 0.8275, 0.8275),(0.9569, 0.8635, 0.8635),(0.9647, 0.8816, 0.8816),(0.9961, 0.9733, 0.9733),(1.0000, 0.9843, 0.9843),), 'blue': ((0.0, 0.0, 0.0000),(0.0039, 0.1684, 0.1684),(0.0078, 0.2212, 0.2212),(0.0275, 0.4329, 0.4329),(0.0314, 0.4549, 0.4549),(0.2824, 0.5004, 0.5004),(0.4667, 0.2748, 0.2748),(0.5451, 0.3205, 0.3205),(0.7843, 0.3961, 0.3961),(0.8941, 0.6651, 0.6651),(1.0000, 0.9843, 0.9843),)}_gist_gray_data = { 'red': gfunc[3], 'green': gfunc[3], 'blue': gfunc[3],}_gist_heat_data = { 'red': lambda x: 1.5 * x, 'green': lambda x: 2 * x - 1, 'blue': lambda x: 4 * x - 3,}_gist_ncar_data = \{'red': ((0.0, 0.0, 0.0000),(0.3098, 0.0000, 0.0000),(0.3725, 0.3993, 0.3993),(0.4235, 0.5003, 0.5003),(0.5333, 1.0000, 1.0000),(0.7922, 1.0000, 1.0000),(0.8471, 0.6218, 0.6218),(0.8980, 0.9235, 0.9235),(1.0000, 0.9961, 0.9961),), 'green': ((0.0, 0.0, 0.0000),(0.0510, 0.3722, 0.3722),(0.1059, 0.0000, 0.0000),(0.1569, 0.7202, 0.7202),(0.1608, 0.7537, 0.7537),(0.1647, 0.7752, 0.7752),(0.2157, 1.0000, 1.0000),(0.2588, 0.9804, 0.9804),(0.2706, 0.9804, 0.9804),(0.3176, 1.0000, 1.0000),(0.3686, 0.8081, 0.8081),(0.4275, 1.0000, 1.0000),(0.5216, 1.0000, 1.0000),(0.6314, 0.7292, 0.7292),(0.6863, 0.2796, 0.2796),(0.7451, 0.0000, 0.0000),(0.7922, 0.0000, 0.0000),(0.8431, 0.1753, 0.1753),(0.8980, 0.5000, 0.5000),(1.0000, 0.9725, 0.9725),), 'blue': ((0.0, 0.5020, 0.5020),(0.0510, 0.0222, 0.0222),(0.1098, 1.0000, 1.0000),(0.2039, 1.0000, 1.0000),(0.2627, 0.6145, 0.6145),(0.3216, 0.0000, 0.0000),(0.4157, 0.0000, 0.0000),(0.4745, 0.2342, 0.2342),(0.5333, 0.0000, 0.0000),(0.5804, 0.0000, 0.0000),(0.6314, 0.0549, 0.0549),(0.6902, 0.0000, 0.0000),(0.7373, 0.0000, 0.0000),(0.7922, 0.9738, 0.9738),(0.8000, 1.0000, 1.0000),(0.8431, 1.0000, 1.0000),(0.8980, 0.9341, 0.9341),(1.0000, 0.9961, 0.9961),)}_gist_rainbow_data = ( (0.000, (1.00, 0.00, 0.16)), (0.030, (1.00, 0.00, 0.00)), (0.215, (1.00, 1.00, 0.00)), (0.400, (0.00, 1.00, 0.00)), (0.586, (0.00, 1.00, 1.00)), (0.770, (0.00, 0.00, 1.00)), (0.954, (1.00, 0.00, 1.00)), (1.000, (1.00, 0.00, 0.75)))_gist_stern_data = { 'red': ( (0.000, 0.000, 0.000), (0.0547, 1.000, 1.000), (0.250, 0.027, 0.250), # (0.2500, 0.250, 0.250), (1.000, 1.000, 1.000)), 'green': ((0, 0, 0), (1, 1, 1)), 'blue': ( (0.000, 0.000, 0.000), (0.500, 1.000, 1.000), (0.735, 0.000, 0.000), (1.000, 1.000, 1.000))}_gist_yarg_data = { 'red': lambda x: 1 - x, 'green': lambda x: 1 - x, 'blue': lambda x: 1 - x,}# This bipolar color map was generated from CoolWarmFloat33.csv of# "Diverging Color Maps for Scientific Visualization" by Kenneth Moreland.# <http://www.kennethmoreland.com/color-maps/>_coolwarm_data = { 'red': [ (0.0, 0.2298057, 0.2298057), (0.03125, 0.26623388, 0.26623388), (0.0625, 0.30386891, 0.30386891), (0.09375, 0.342804478, 0.342804478), (0.125, 0.38301334, 0.38301334), (0.15625, 0.424369608, 0.424369608), (0.1875, 0.46666708, 0.46666708), (0.21875, 0.509635204, 0.509635204), (0.25, 0.552953156, 0.552953156), (0.28125, 0.596262162, 0.596262162), (0.3125, 0.639176211, 0.639176211), (0.34375, 0.681291281, 0.681291281), (0.375, 0.722193294, 0.722193294), (0.40625, 0.761464949, 0.761464949), (0.4375, 0.798691636, 0.798691636), (0.46875, 0.833466556, 0.833466556), (0.5, 0.865395197, 0.865395197), (0.53125, 0.897787179, 0.897787179), (0.5625, 0.924127593, 0.924127593), (0.59375, 0.944468518, 0.944468518), (0.625, 0.958852946, 0.958852946), (0.65625, 0.96732803, 0.96732803), (0.6875, 0.969954137, 0.969954137), (0.71875, 0.966811177, 0.966811177), (0.75, 0.958003065, 0.958003065), (0.78125, 0.943660866, 0.943660866), (0.8125, 0.923944917, 0.923944917), (0.84375, 0.89904617, 0.89904617), (0.875, 0.869186849, 0.869186849), (0.90625, 0.834620542, 0.834620542), (0.9375, 0.795631745, 0.795631745), (0.96875, 0.752534934, 0.752534934), (1.0, 0.705673158, 0.705673158)], 'green': [ (0.0, 0.298717966, 0.298717966), (0.03125, 0.353094838, 0.353094838), (0.0625, 0.406535296, 0.406535296), (0.09375, 0.458757618, 0.458757618), (0.125, 0.50941904, 0.50941904), (0.15625, 0.558148092, 0.558148092), (0.1875, 0.604562568, 0.604562568), (0.21875, 0.648280772, 0.648280772), (0.25, 0.688929332, 0.688929332), (0.28125, 0.726149107, 0.726149107), (0.3125, 0.759599947, 0.759599947), (0.34375, 0.788964712, 0.788964712), (0.375, 0.813952739, 0.813952739), (0.40625, 0.834302879, 0.834302879), (0.4375, 0.849786142, 0.849786142), (0.46875, 0.860207984, 0.860207984), (0.5, 0.86541021, 0.86541021), (0.53125, 0.848937047, 0.848937047), (0.5625, 0.827384882, 0.827384882), (0.59375, 0.800927443, 0.800927443), (0.625, 0.769767752, 0.769767752), (0.65625, 0.734132809, 0.734132809), (0.6875, 0.694266682, 0.694266682), (0.71875, 0.650421156, 0.650421156), (0.75, 0.602842431, 0.602842431), (0.78125, 0.551750968, 0.551750968), (0.8125, 0.49730856, 0.49730856), (0.84375, 0.439559467, 0.439559467), (0.875, 0.378313092, 0.378313092), (0.90625, 0.312874446, 0.312874446), (0.9375, 0.24128379, 0.24128379), (0.96875, 0.157246067, 0.157246067), (1.0, 0.01555616, 0.01555616)], 'blue': [ (0.0, 0.753683153, 0.753683153), (0.03125, 0.801466763, 0.801466763), (0.0625, 0.84495867, 0.84495867), (0.09375, 0.883725899, 0.883725899), (0.125, 0.917387822, 0.917387822), (0.15625, 0.945619588, 0.945619588), (0.1875, 0.968154911, 0.968154911), (0.21875, 0.98478814, 0.98478814), (0.25, 0.995375608, 0.995375608), (0.28125, 0.999836203, 0.999836203), (0.3125, 0.998151185, 0.998151185), (0.34375, 0.990363227, 0.990363227), (0.375, 0.976574709, 0.976574709), (0.40625, 0.956945269, 0.956945269), (0.4375, 0.931688648, 0.931688648), (0.46875, 0.901068838, 0.901068838), (0.5, 0.865395561, 0.865395561), (0.53125, 0.820880546, 0.820880546), (0.5625, 0.774508472, 0.774508472), (0.59375, 0.726736146, 0.726736146), (0.625, 0.678007945, 0.678007945), (0.65625, 0.628751763, 0.628751763), (0.6875, 0.579375448, 0.579375448), (0.71875, 0.530263762, 0.530263762), (0.75, 0.481775914, 0.481775914), (0.78125, 0.434243684, 0.434243684), (0.8125, 0.387970225, 0.387970225), (0.84375, 0.343229596, 0.343229596), (0.875, 0.300267182, 0.300267182), (0.90625, 0.259301199, 0.259301199), (0.9375, 0.220525627, 0.220525627), (0.96875, 0.184115123, 0.184115123), (1.0, 0.150232812, 0.150232812)] }# Implementation of Carey Rappaport's CMRmap.# See `A Color Map for Effective Black-and-White Rendering of Color-Scale# Images' by Carey Rappaport# http://www.mathworks.com/matlabcentral/fileexchange/2662-cmrmap-m_CMRmap_data = {'red': ((0.000, 0.00, 0.00), (0.125, 0.15, 0.15), (0.250, 0.30, 0.30), (0.375, 0.60, 0.60), (0.500, 1.00, 1.00), (0.625, 0.90, 0.90), (0.750, 0.90, 0.90), (0.875, 0.90, 0.90), (1.000, 1.00, 1.00)), 'green': ((0.000, 0.00, 0.00), (0.125, 0.15, 0.15), (0.250, 0.15, 0.15), (0.375, 0.20, 0.20), (0.500, 0.25, 0.25), (0.625, 0.50, 0.50), (0.750, 0.75, 0.75), (0.875, 0.90, 0.90), (1.000, 1.00, 1.00)), 'blue': ((0.000, 0.00, 0.00), (0.125, 0.50, 0.50), (0.250, 0.75, 0.75), (0.375, 0.50, 0.50), (0.500, 0.15, 0.15), (0.625, 0.00, 0.00), (0.750, 0.10, 0.10), (0.875, 0.50, 0.50), (1.000, 1.00, 1.00))}# An MIT licensed, colorblind-friendly heatmap from Wistia:# https://github.com/wistia/heatmap-palette# http://wistia.com/blog/heatmaps-for-colorblindness## >>> import matplotlib.colors as c# >>> colors = ["#e4ff7a", "#ffe81a", "#ffbd00", "#ffa000", "#fc7f00"]# >>> cm = c.LinearSegmentedColormap.from_list('wistia', colors)# >>> _wistia_data = cm._segmentdata# >>> del _wistia_data['alpha']#_wistia_data = { 'red': [(0.0, 0.8941176470588236, 0.8941176470588236), (0.25, 1.0, 1.0), (0.5, 1.0, 1.0), (0.75, 1.0, 1.0), (1.0, 0.9882352941176471, 0.9882352941176471)], 'green': [(0.0, 1.0, 1.0), (0.25, 0.9098039215686274, 0.9098039215686274), (0.5, 0.7411764705882353, 0.7411764705882353), (0.75, 0.6274509803921569, 0.6274509803921569), (1.0, 0.4980392156862745, 0.4980392156862745)], 'blue': [(0.0, 0.47843137254901963, 0.47843137254901963), (0.25, 0.10196078431372549, 0.10196078431372549), (0.5, 0.0, 0.0), (0.75, 0.0, 0.0), (1.0, 0.0, 0.0)],}datad = { 'afmhot': _afmhot_data, 'autumn': _autumn_data, 'bone': _bone_data, 'binary': _binary_data, 'bwr': _bwr_data, 'brg': _brg_data, 'CMRmap': _CMRmap_data, 'cool': _cool_data, 'copper': _copper_data, 'cubehelix': _cubehelix_data, 'flag': _flag_data, 'gnuplot': _gnuplot_data, 'gnuplot2': _gnuplot2_data, 'gray': _gray_data, 'hot': _hot_data, 'hsv': _hsv_data, 'jet': _jet_data, 'ocean': _ocean_data, 'pink': _pink_data, 'prism': _prism_data, 'rainbow': _rainbow_data, 'seismic': _seismic_data, 'spring': _spring_data, 'summer': _summer_data, 'terrain': _terrain_data, 'winter': _winter_data, 'nipy_spectral': _nipy_spectral_data, 'spectral': _nipy_spectral_data, # alias for backward compatibility }datad['Accent'] = _Accent_datadatad['Blues'] = _Blues_datadatad['BrBG'] = _BrBG_datadatad['BuGn'] = _BuGn_datadatad['BuPu'] = _BuPu_datadatad['Dark2'] = _Dark2_datadatad['GnBu'] = _GnBu_datadatad['Greens'] = _Greens_datadatad['Greys'] = _Greys_datadatad['Oranges'] = _Oranges_datadatad['OrRd'] = _OrRd_datadatad['Paired'] = _Paired_datadatad['Pastel1'] = _Pastel1_datadatad['Pastel2'] = _Pastel2_datadatad['PiYG'] = _PiYG_datadatad['PRGn'] = _PRGn_datadatad['PuBu'] = _PuBu_datadatad['PuBuGn'] = _PuBuGn_datadatad['PuOr'] = _PuOr_datadatad['PuRd'] = _PuRd_datadatad['Purples'] = _Purples_datadatad['RdBu'] = _RdBu_datadatad['RdGy'] = _RdGy_datadatad['RdPu'] = _RdPu_datadatad['RdYlBu'] = _RdYlBu_datadatad['RdYlGn'] = _RdYlGn_datadatad['Reds'] = _Reds_datadatad['Set1'] = _Set1_datadatad['Set2'] = _Set2_datadatad['Set3'] = _Set3_datadatad['Spectral'] = _Spectral_datadatad['YlGn'] = _YlGn_datadatad['YlGnBu'] = _YlGnBu_datadatad['YlOrBr'] = _YlOrBr_datadatad['YlOrRd'] = _YlOrRd_datadatad['gist_earth'] = _gist_earth_datadatad['gist_gray'] = _gist_gray_datadatad['gist_heat'] = _gist_heat_datadatad['gist_ncar'] = _gist_ncar_datadatad['gist_rainbow'] = _gist_rainbow_datadatad['gist_stern'] = _gist_stern_datadatad['gist_yarg'] = _gist_yarg_datadatad['coolwarm'] = _coolwarm_datadatad['Wistia'] = _wistia_data阅读以上源码可知，有以下颜色映射模式可选：
Possible values are: Accent, Accent_r, Blues, Blues_r, BrBG, BrBG_r, BuGn, BuGn_r, BuPu, BuPu_r, CMRmap, CMRmap_r, Dark2, Dark2_r, GnBu, GnBu_r, Greens, Greens_r, Greys, Greys_r, OrRd, OrRd_r, Oranges, Oranges_r, PRGn, PRGn_r, Paired, Paired_r, Pastel1, Pastel1_r, Pastel2, Pastel2_r, PiYG, PiYG_r, PuBu, PuBuGn, PuBuGn_r, PuBu_r, PuOr, PuOr_r, PuRd, PuRd_r, Purples, Purples_r, RdBu, RdBu_r, RdGy, RdGy_r, RdPu, RdPu_r, RdYlBu, RdYlBu_r, RdYlGn, RdYlGn_r, Reds, Reds_r, Set1, Set1_r, Set2, Set2_r, Set3, Set3_r, Spectral, Spectral_r, Wistia, Wistia_r, YlGn, YlGnBu, YlGnBu_r, YlGn_r, YlOrBr, YlOrBr_r, YlOrRd, YlOrRd_r, afmhot, afmhot_r, autumn, autumn_r, binary, binary_r, bone, bone_r, brg, brg_r, bwr, bwr_r, cool, cool_r, coolwarm, coolwarm_r, copper, copper_r, cubehelix, cubehelix_r, flag, flag_r, gist_earth, gist_earth_r, gist_gray, gist_gray_r, gist_heat, gist_heat_r, gist_ncar, gist_ncar_r, gist_rainbow, gist_rainbow_r, gist_stern, gist_stern_r, gist_yarg, gist_yarg_r, gnuplot, gnuplot2, gnuplot2_r, gnuplot_r, gray, gray_r, hot, hot_r, hsv, hsv_r, inferno, inferno_r, jet, jet_r, magma, magma_r, nipy_spectral, nipy_spectral_r, ocean, ocean_r, pink, pink_r, plasma, plasma_r, prism, prism_r, rainbow, rainbow_r, seismic, seismic_r, spectral, spectral_r, spring, spring_r, summer, summer_r, terrain, terrain_r, viridis, viridis_r, winter, winter_r其中，我最喜欢的是 ‘coolwarm’ 风格类型。
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