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"""

Nothing here but dictionaries for generating LinearSegmentedColormaps,

and a dictionary of these dictionaries.

Documentation for each is in pyplot.colormaps(). Please update this

with the purpose and type of your colormap if you add data for one here.

"""

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))}

def _flag_red(x): return 0.75 * np.sin((x * 31.5 + 0.25) * np.pi) + 0.5

def _flag_green(x): return np.sin(x * 31.5 * np.pi)

def _flag_blue(x): return 0.75 * np.sin((x * 31.5 - 0.25) * np.pi) + 0.5

def _prism_red(x): return 0.75 * np.sin((x * 20.9 + 0.25) * np.pi) + 0.67

def _prism_green(x): return 0.75 * np.sin((x * 20.9 - 0.25) * np.pi) + 0.33

def _prism_blue(x): return -1.1 * np.sin((x * 20.9) * np.pi)

_flag_data = {'red': _flag_red, 'green': _flag_green, 'blue': _flag_blue}

_prism_data = {'red': _prism_red, 'green': _prism_green, 'blue': _prism_blue}

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 functions

gfunc = {

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).

# RGB values taken from Brewer's Excel sheet, divided by 255

_Blues_data = (

(0.96862745098039216, 0.98431372549019602, 1.0 ),

(0.87058823529411766, 0.92156862745098034, 0.96862745098039216),

(0.77647058823529413, 0.85882352941176465, 0.93725490196078431),

(0.61960784313725492, 0.792156862745098 , 0.88235294117647056),

(0.41960784313725491, 0.68235294117647061, 0.83921568627450982),

(0.25882352941176473, 0.5725490196078431 , 0.77647058823529413),

(0.12941176470588237, 0.44313725490196076, 0.70980392156862748),

(0.03137254901960784, 0.31764705882352939, 0.61176470588235299),

(0.03137254901960784, 0.18823529411764706, 0.41960784313725491)

)

_BrBG_data = (

(0.32941176470588235, 0.18823529411764706, 0.0196078431372549 ),

(0.5490196078431373 , 0.31764705882352939, 0.0392156862745098 ),

(0.74901960784313726, 0.50588235294117645, 0.17647058823529413),

(0.87450980392156863, 0.76078431372549016, 0.49019607843137253),

(0.96470588235294119, 0.90980392156862744, 0.76470588235294112),

(0.96078431372549022, 0.96078431372549022, 0.96078431372549022),

(0.7803921568627451 , 0.91764705882352937, 0.89803921568627454),

(0.50196078431372548, 0.80392156862745101, 0.75686274509803919),

(0.20784313725490197, 0.59215686274509804, 0.5607843137254902 ),

(0.00392156862745098, 0.4 , 0.36862745098039218),

(0.0 , 0.23529411764705882, 0.18823529411764706)

)

_BuGn_data = (

(0.96862745098039216, 0.9882352941176471 , 0.99215686274509807),

(0.89803921568627454, 0.96078431372549022, 0.97647058823529409),

(0.8 , 0.92549019607843142, 0.90196078431372551),

(0.6 , 0.84705882352941175, 0.78823529411764703),

(0.4 , 0.76078431372549016, 0.64313725490196083),

(0.25490196078431371, 0.68235294117647061, 0.46274509803921571),

(0.13725490196078433, 0.54509803921568623, 0.27058823529411763),

(0.0 , 0.42745098039215684, 0.17254901960784313),

(0.0 , 0.26666666666666666, 0.10588235294117647)

)

_BuPu_data = (

(0.96862745098039216, 0.9882352941176471 , 0.99215686274509807),

(0.8784313725490196 , 0.92549019607843142, 0.95686274509803926),

(0.74901960784313726, 0.82745098039215681, 0.90196078431372551),

(0.61960784313725492, 0.73725490196078436, 0.85490196078431369),

(0.5490196078431373 , 0.58823529411764708, 0.77647058823529413),

(0.5490196078431373 , 0.41960784313725491, 0.69411764705882351),

(0.53333333333333333, 0.25490196078431371, 0.61568627450980395),

(0.50588235294117645, 0.05882352941176471, 0.48627450980392156),

(0.30196078431372547, 0.0 , 0.29411764705882354)

)

_GnBu_data = (

(0.96862745098039216, 0.9882352941176471 , 0.94117647058823528),

(0.8784313725490196 , 0.95294117647058818, 0.85882352941176465),

(0.8 , 0.92156862745098034, 0.77254901960784317),

(0.6588235294117647 , 0.8666666666666667 , 0.70980392156862748),

(0.4823529411764706 , 0.8 , 0.7686274509803922 ),

(0.30588235294117649, 0.70196078431372544, 0.82745098039215681),

(0.16862745098039217, 0.5490196078431373 , 0.74509803921568629),

(0.03137254901960784, 0.40784313725490196, 0.67450980392156867),

(0.03137254901960784, 0.25098039215686274, 0.50588235294117645)

)

_Greens_data = (

(0.96862745098039216, 0.9882352941176471 , 0.96078431372549022),

(0.89803921568627454, 0.96078431372549022, 0.8784313725490196 ),

(0.7803921568627451 , 0.9137254901960784 , 0.75294117647058822),

(0.63137254901960782, 0.85098039215686272, 0.60784313725490191),

(0.45490196078431372, 0.7686274509803922 , 0.46274509803921571),

(0.25490196078431371, 0.6705882352941176 , 0.36470588235294116),

(0.13725490196078433, 0.54509803921568623, 0.27058823529411763),

(0.0 , 0.42745098039215684, 0.17254901960784313),

(0.0 , 0.26666666666666666, 0.10588235294117647)

)

_Greys_data = (

(1.0 , 1.0 , 1.0 ),

(0.94117647058823528, 0.94117647058823528, 0.94117647058823528),

(0.85098039215686272, 0.85098039215686272, 0.85098039215686272),

(0.74117647058823533, 0.74117647058823533, 0.74117647058823533),

(0.58823529411764708, 0.58823529411764708, 0.58823529411764708),

(0.45098039215686275, 0.45098039215686275, 0.45098039215686275),

(0.32156862745098042, 0.32156862745098042, 0.32156862745098042),

(0.14509803921568629, 0.14509803921568629, 0.14509803921568629),

(0.0 , 0.0 , 0.0 )

)

_Oranges_data = (

(1.0 , 0.96078431372549022, 0.92156862745098034),

(0.99607843137254903, 0.90196078431372551, 0.80784313725490198),

(0.99215686274509807, 0.81568627450980391, 0.63529411764705879),

(0.99215686274509807, 0.68235294117647061, 0.41960784313725491),

(0.99215686274509807, 0.55294117647058827, 0.23529411764705882),

(0.94509803921568625, 0.41176470588235292, 0.07450980392156863),

(0.85098039215686272, 0.28235294117647058, 0.00392156862745098),

(0.65098039215686276, 0.21176470588235294, 0.01176470588235294),

(0.49803921568627452, 0.15294117647058825, 0.01568627450980392)

)

_OrRd_data = (

(1.0 , 0.96862745098039216, 0.92549019607843142),

(0.99607843137254903, 0.90980392156862744, 0.78431372549019607),

(0.99215686274509807, 0.83137254901960789, 0.61960784313725492),

(0.99215686274509807, 0.73333333333333328, 0.51764705882352946),

(0.9882352941176471 , 0.55294117647058827, 0.34901960784313724),

(0.93725490196078431, 0.396078431372549 , 0.28235294117647058),

(0.84313725490196079, 0.18823529411764706, 0.12156862745098039),

(0.70196078431372544, 0.0 , 0.0 ),

(0.49803921568627452, 0.0 , 0.0 )

)

_PiYG_data = (

(0.55686274509803924, 0.00392156862745098, 0.32156862745098042),

(0.77254901960784317, 0.10588235294117647, 0.49019607843137253),

(0.87058823529411766, 0.46666666666666667, 0.68235294117647061),

(0.94509803921568625, 0.71372549019607845, 0.85490196078431369),

(0.99215686274509807, 0.8784313725490196 , 0.93725490196078431),

(0.96862745098039216, 0.96862745098039216, 0.96862745098039216),

(0.90196078431372551, 0.96078431372549022, 0.81568627450980391),

(0.72156862745098038, 0.88235294117647056, 0.52549019607843139),

(0.49803921568627452, 0.73725490196078436, 0.25490196078431371),

(0.30196078431372547, 0.5725490196078431 , 0.12941176470588237),

(0.15294117647058825, 0.39215686274509803, 0.09803921568627451)

)

_PRGn_data = (

(0.25098039215686274, 0.0 , 0.29411764705882354),

(0.46274509803921571, 0.16470588235294117, 0.51372549019607838),

(0.6 , 0.4392156862745098 , 0.6705882352941176 ),

(0.76078431372549016, 0.6470588235294118 , 0.81176470588235294),

(0.90588235294117647, 0.83137254901960789, 0.90980392156862744),

(0.96862745098039216, 0.96862745098039216, 0.96862745098039216),

(0.85098039215686272, 0.94117647058823528, 0.82745098039215681),

(0.65098039215686276, 0.85882352941176465, 0.62745098039215685),

(0.35294117647058826, 0.68235294117647061, 0.38039215686274508),

(0.10588235294117647, 0.47058823529411764, 0.21568627450980393),

(0.0 , 0.26666666666666666, 0.10588235294117647)

)

_PuBu_data = (

(1.0 , 0.96862745098039216, 0.98431372549019602),

(0.92549019607843142, 0.90588235294117647, 0.94901960784313721),

(0.81568627450980391, 0.81960784313725488, 0.90196078431372551),

(0.65098039215686276, 0.74117647058823533, 0.85882352941176465),

(0.45490196078431372, 0.66274509803921566, 0.81176470588235294),

(0.21176470588235294, 0.56470588235294117, 0.75294117647058822),

(0.0196078431372549 , 0.4392156862745098 , 0.69019607843137254),

(0.01568627450980392, 0.35294117647058826, 0.55294117647058827),

(0.00784313725490196, 0.2196078431372549 , 0.34509803921568627)

)

_PuBuGn_data = (

(1.0 , 0.96862745098039216, 0.98431372549019602),

(0.92549019607843142, 0.88627450980392153, 0.94117647058823528),

(0.81568627450980391, 0.81960784313725488, 0.90196078431372551),

(0.65098039215686276, 0.74117647058823533, 0.85882352941176465),

(0.40392156862745099, 0.66274509803921566, 0.81176470588235294),

(0.21176470588235294, 0.56470588235294117, 0.75294117647058822),

(0.00784313725490196, 0.50588235294117645, 0.54117647058823526),

(0.00392156862745098, 0.42352941176470588, 0.34901960784313724),

(0.00392156862745098, 0.27450980392156865, 0.21176470588235294)

)

_PuOr_data = (

(0.49803921568627452, 0.23137254901960785, 0.03137254901960784),

(0.70196078431372544, 0.34509803921568627, 0.02352941176470588),

(0.8784313725490196 , 0.50980392156862742, 0.07843137254901961),

(0.99215686274509807, 0.72156862745098038, 0.38823529411764707),

(0.99607843137254903, 0.8784313725490196 , 0.71372549019607845),

(0.96862745098039216, 0.96862745098039216, 0.96862745098039216),

(0.84705882352941175, 0.85490196078431369, 0.92156862745098034),

(0.69803921568627447, 0.6705882352941176 , 0.82352941176470584),

(0.50196078431372548, 0.45098039215686275, 0.67450980392156867),

(0.32941176470588235, 0.15294117647058825, 0.53333333333333333),

(0.17647058823529413, 0.0 , 0.29411764705882354)

)

_PuRd_data = (

(0.96862745098039216, 0.95686274509803926, 0.97647058823529409),

(0.90588235294117647, 0.88235294117647056, 0.93725490196078431),

(0.83137254901960789, 0.72549019607843135, 0.85490196078431369),

(0.78823529411764703, 0.58039215686274515, 0.7803921568627451 ),

(0.87450980392156863, 0.396078431372549 , 0.69019607843137254),

(0.90588235294117647, 0.16078431372549021, 0.54117647058823526),

(0.80784313725490198, 0.07058823529411765, 0.33725490196078434),

(0.59607843137254901, 0.0 , 0.2627450980392157 ),

(0.40392156862745099, 0.0 , 0.12156862745098039)

)

_Purples_data = (

(0.9882352941176471 , 0.98431372549019602, 0.99215686274509807),

(0.93725490196078431, 0.92941176470588238, 0.96078431372549022),

(0.85490196078431369, 0.85490196078431369, 0.92156862745098034),

(0.73725490196078436, 0.74117647058823533, 0.86274509803921573),

(0.61960784313725492, 0.60392156862745094, 0.78431372549019607),

(0.50196078431372548, 0.49019607843137253, 0.72941176470588232),

(0.41568627450980394, 0.31764705882352939, 0.63921568627450975),

(0.32941176470588235, 0.15294117647058825, 0.5607843137254902 ),

(0.24705882352941178, 0.0 , 0.49019607843137253)

)

_RdBu_data = (

(0.40392156862745099, 0.0 , 0.12156862745098039),

(0.69803921568627447, 0.09411764705882353, 0.16862745098039217),

(0.83921568627450982, 0.37647058823529411, 0.30196078431372547),

(0.95686274509803926, 0.6470588235294118 , 0.50980392156862742),

(0.99215686274509807, 0.85882352941176465, 0.7803921568627451 ),

(0.96862745098039216, 0.96862745098039216, 0.96862745098039216),

(0.81960784313725488, 0.89803921568627454, 0.94117647058823528),

(0.5725490196078431 , 0.77254901960784317, 0.87058823529411766),

(0.2627450980392157 , 0.57647058823529407, 0.76470588235294112),

(0.12941176470588237, 0.4 , 0.67450980392156867),

(0.0196078431372549 , 0.18823529411764706, 0.38039215686274508)

)

_RdGy_data = (

(0.40392156862745099, 0.0 , 0.12156862745098039),

(0.69803921568627447, 0.09411764705882353, 0.16862745098039217),

(0.83921568627450982, 0.37647058823529411, 0.30196078431372547),

(0.95686274509803926, 0.6470588235294118 , 0.50980392156862742),

(0.99215686274509807, 0.85882352941176465, 0.7803921568627451 ),

(1.0 , 1.0 , 1.0 ),

(0.8784313725490196 , 0.8784313725490196 , 0.8784313725490196 ),

(0.72941176470588232, 0.72941176470588232, 0.72941176470588232),

(0.52941176470588236, 0.52941176470588236, 0.52941176470588236),

(0.30196078431372547, 0.30196078431372547, 0.30196078431372547),

(0.10196078431372549, 0.10196078431372549, 0.10196078431372549)

)

_RdPu_data = (

(1.0 , 0.96862745098039216, 0.95294117647058818),

(0.99215686274509807, 0.8784313725490196 , 0.86666666666666667),

(0.9882352941176471 , 0.77254901960784317, 0.75294117647058822),

(0.98039215686274506, 0.62352941176470589, 0.70980392156862748),

(0.96862745098039216, 0.40784313725490196, 0.63137254901960782),

(0.86666666666666667, 0.20392156862745098, 0.59215686274509804),

(0.68235294117647061, 0.00392156862745098, 0.49411764705882355),

(0.47843137254901963, 0.00392156862745098, 0.46666666666666667),

(0.28627450980392155, 0.0 , 0.41568627450980394)

)

_RdYlBu_data = (

(0.6470588235294118 , 0.0 , 0.14901960784313725),

(0.84313725490196079, 0.18823529411764706 , 0.15294117647058825),

(0.95686274509803926, 0.42745098039215684 , 0.2627450980392157 ),

(0.99215686274509807, 0.68235294117647061 , 0.38039215686274508),

(0.99607843137254903, 0.8784313725490196 , 0.56470588235294117),

(1.0 , 1.0 , 0.74901960784313726),

(0.8784313725490196 , 0.95294117647058818 , 0.97254901960784312),

(0.6705882352941176 , 0.85098039215686272 , 0.9137254901960784 ),

(0.45490196078431372, 0.67843137254901964 , 0.81960784313725488),

(0.27058823529411763, 0.45882352941176469 , 0.70588235294117652),

(0.19215686274509805, 0.21176470588235294 , 0.58431372549019611)

)

_RdYlGn_data = (

(0.6470588235294118 , 0.0 , 0.14901960784313725),

(0.84313725490196079, 0.18823529411764706 , 0.15294117647058825),

(0.95686274509803926, 0.42745098039215684 , 0.2627450980392157 ),

(0.99215686274509807, 0.68235294117647061 , 0.38039215686274508),

(0.99607843137254903, 0.8784313725490196 , 0.54509803921568623),

(1.0 , 1.0 , 0.74901960784313726),

(0.85098039215686272, 0.93725490196078431 , 0.54509803921568623),

(0.65098039215686276, 0.85098039215686272 , 0.41568627450980394),

(0.4 , 0.74117647058823533 , 0.38823529411764707),

(0.10196078431372549, 0.59607843137254901 , 0.31372549019607843),

(0.0 , 0.40784313725490196 , 0.21568627450980393)

)

_Reds_data = (

(1.0 , 0.96078431372549022 , 0.94117647058823528),

(0.99607843137254903, 0.8784313725490196 , 0.82352941176470584),

(0.9882352941176471 , 0.73333333333333328 , 0.63137254901960782),

(0.9882352941176471 , 0.5725490196078431 , 0.44705882352941179),

(0.98431372549019602, 0.41568627450980394 , 0.29019607843137257),

(0.93725490196078431, 0.23137254901960785 , 0.17254901960784313),

(0.79607843137254897, 0.094117647058823528, 0.11372549019607843),

(0.6470588235294118 , 0.058823529411764705, 0.08235294117647058),

(0.40392156862745099, 0.0 , 0.05098039215686274)

)

_Spectral_data = (

(0.61960784313725492, 0.003921568627450980, 0.25882352941176473),

(0.83529411764705885, 0.24313725490196078 , 0.30980392156862746),

(0.95686274509803926, 0.42745098039215684 , 0.2627450980392157 ),

(0.99215686274509807, 0.68235294117647061 , 0.38039215686274508),

(0.99607843137254903, 0.8784313725490196 , 0.54509803921568623),

(1.0 , 1.0 , 0.74901960784313726),

(0.90196078431372551, 0.96078431372549022 , 0.59607843137254901),

(0.6705882352941176 , 0.8666666666666667 , 0.64313725490196083),

(0.4 , 0.76078431372549016 , 0.6470588235294118 ),

(0.19607843137254902, 0.53333333333333333 , 0.74117647058823533),

(0.36862745098039218, 0.30980392156862746 , 0.63529411764705879)

)

_YlGn_data = (

(1.0 , 1.0 , 0.89803921568627454),

(0.96862745098039216, 0.9882352941176471 , 0.72549019607843135),

(0.85098039215686272, 0.94117647058823528 , 0.63921568627450975),

(0.67843137254901964, 0.8666666666666667 , 0.55686274509803924),

(0.47058823529411764, 0.77647058823529413 , 0.47450980392156861),

(0.25490196078431371, 0.6705882352941176 , 0.36470588235294116),

(0.13725490196078433, 0.51764705882352946 , 0.2627450980392157 ),

(0.0 , 0.40784313725490196 , 0.21568627450980393),

(0.0 , 0.27058823529411763 , 0.16078431372549021)

)

_YlGnBu_data = (

(1.0 , 1.0 , 0.85098039215686272),

(0.92941176470588238, 0.97254901960784312 , 0.69411764705882351),

(0.7803921568627451 , 0.9137254901960784 , 0.70588235294117652),

(0.49803921568627452, 0.80392156862745101 , 0.73333333333333328),

(0.25490196078431371, 0.71372549019607845 , 0.7686274509803922 ),

(0.11372549019607843, 0.56862745098039214 , 0.75294117647058822),

(0.13333333333333333, 0.36862745098039218 , 0.6588235294117647 ),

(0.14509803921568629, 0.20392156862745098 , 0.58039215686274515),

(0.03137254901960784, 0.11372549019607843 , 0.34509803921568627)

)

_YlOrBr_data = (

(1.0 , 1.0 , 0.89803921568627454),

(1.0 , 0.96862745098039216 , 0.73725490196078436),

(0.99607843137254903, 0.8901960784313725 , 0.56862745098039214),

(0.99607843137254903, 0.7686274509803922 , 0.30980392156862746),

(0.99607843137254903, 0.6 , 0.16078431372549021),

(0.92549019607843142, 0.4392156862745098 , 0.07843137254901961),

(0.8 , 0.29803921568627451 , 0.00784313725490196),

(0.6 , 0.20392156862745098 , 0.01568627450980392),

(0.4 , 0.14509803921568629 , 0.02352941176470588)

)

_YlOrRd_data = (

(1.0 , 1.0 , 0.8 ),

(1.0 , 0.92941176470588238 , 0.62745098039215685),

(0.99607843137254903, 0.85098039215686272 , 0.46274509803921571),

(0.99607843137254903, 0.69803921568627447 , 0.29803921568627451),

(0.99215686274509807, 0.55294117647058827 , 0.23529411764705882),

(0.9882352941176471 , 0.30588235294117649 , 0.16470588235294117),

(0.8901960784313725 , 0.10196078431372549 , 0.10980392156862745),

(0.74117647058823533, 0.0 , 0.14901960784313725),

(0.50196078431372548, 0.0 , 0.14901960784313725)

)

# ColorBrewer's qualitative maps, implemented using ListedColormap

# for use with mpl.colors.NoNorm

_Accent_data = (

(0.49803921568627452, 0.78823529411764703, 0.49803921568627452),

(0.74509803921568629, 0.68235294117647061, 0.83137254901960789),

(0.99215686274509807, 0.75294117647058822, 0.52549019607843139),

(1.0, 1.0, 0.6 ),

(0.2196078431372549, 0.42352941176470588, 0.69019607843137254),

(0.94117647058823528, 0.00784313725490196, 0.49803921568627452),

(0.74901960784313726, 0.35686274509803922, 0.09019607843137254),

(0.4, 0.4, 0.4 ),

)

_Dark2_data = (

(0.10588235294117647, 0.61960784313725492, 0.46666666666666667),

(0.85098039215686272, 0.37254901960784315, 0.00784313725490196),

(0.45882352941176469, 0.4392156862745098, 0.70196078431372544),

(0.90588235294117647, 0.16078431372549021, 0.54117647058823526),

(0.4, 0.65098039215686276, 0.11764705882352941),

(0.90196078431372551, 0.6705882352941176, 0.00784313725490196),

(0.65098039215686276, 0.46274509803921571, 0.11372549019607843),

(0.4, 0.4, 0.4 ),

)

_Paired_data = (

(0.65098039215686276, 0.80784313725490198, 0.8901960784313725 ),

(0.12156862745098039, 0.47058823529411764, 0.70588235294117652),

(0.69803921568627447, 0.87450980392156863, 0.54117647058823526),

(0.2, 0.62745098039215685, 0.17254901960784313),

(0.98431372549019602, 0.60392156862745094, 0.6 ),

(0.8901960784313725, 0.10196078431372549, 0.10980392156862745),

(0.99215686274509807, 0.74901960784313726, 0.43529411764705883),

(1.0, 0.49803921568627452, 0.0 ),

(0.792156862745098, 0.69803921568627447, 0.83921568627450982),

(0.41568627450980394, 0.23921568627450981, 0.60392156862745094),

(1.0, 1.0, 0.6 ),

(0.69411764705882351, 0.34901960784313724, 0.15686274509803921),

)

_Pastel1_data = (

(0.98431372549019602, 0.70588235294117652, 0.68235294117647061),

(0.70196078431372544, 0.80392156862745101, 0.8901960784313725 ),

(0.8, 0.92156862745098034, 0.77254901960784317),

(0.87058823529411766, 0.79607843137254897, 0.89411764705882357),

(0.99607843137254903, 0.85098039215686272, 0.65098039215686276),

(1.0, 1.0, 0.8 ),

(0.89803921568627454, 0.84705882352941175, 0.74117647058823533),

(0.99215686274509807, 0.85490196078431369, 0.92549019607843142),

(0.94901960784313721, 0.94901960784313721, 0.94901960784313721),

)

_Pastel2_data = (

(0.70196078431372544, 0.88627450980392153, 0.80392156862745101),

(0.99215686274509807, 0.80392156862745101, 0.67450980392156867),

(0.79607843137254897, 0.83529411764705885, 0.90980392156862744),

(0.95686274509803926, 0.792156862745098, 0.89411764705882357),

(0.90196078431372551, 0.96078431372549022, 0.78823529411764703),

(1.0, 0.94901960784313721, 0.68235294117647061),

(0.94509803921568625, 0.88627450980392153, 0.8 ),

(0.8, 0.8, 0.8 ),

)

_Set1_data = (

(0.89411764705882357, 0.10196078431372549, 0.10980392156862745),

(0.21568627450980393, 0.49411764705882355, 0.72156862745098038),

(0.30196078431372547, 0.68627450980392157, 0.29019607843137257),

(0.59607843137254901, 0.30588235294117649, 0.63921568627450975),

(1.0, 0.49803921568627452, 0.0 ),

(1.0, 1.0, 0.2 ),

(0.65098039215686276, 0.33725490196078434, 0.15686274509803921),

(0.96862745098039216, 0.50588235294117645, 0.74901960784313726),

(0.6, 0.6, 0.6),

)

_Set2_data = (

(0.4, 0.76078431372549016, 0.6470588235294118 ),

(0.9882352941176471, 0.55294117647058827, 0.3843137254901961 ),

(0.55294117647058827, 0.62745098039215685, 0.79607843137254897),

(0.90588235294117647, 0.54117647058823526, 0.76470588235294112),

(0.65098039215686276, 0.84705882352941175, 0.32941176470588235),

(1.0, 0.85098039215686272, 0.18431372549019609),

(0.89803921568627454, 0.7686274509803922, 0.58039215686274515),

(0.70196078431372544, 0.70196078431372544, 0.70196078431372544),

)

_Set3_data = (

(0.55294117647058827, 0.82745098039215681, 0.7803921568627451 ),

(1.0, 1.0, 0.70196078431372544),

(0.74509803921568629, 0.72941176470588232, 0.85490196078431369),

(0.98431372549019602, 0.50196078431372548, 0.44705882352941179),

(0.50196078431372548, 0.69411764705882351, 0.82745098039215681),

(0.99215686274509807, 0.70588235294117652, 0.3843137254901961 ),

(0.70196078431372544, 0.87058823529411766, 0.41176470588235292),

(0.9882352941176471, 0.80392156862745101, 0.89803921568627454),

(0.85098039215686272, 0.85098039215686272, 0.85098039215686272),

(0.73725490196078436, 0.50196078431372548, 0.74117647058823533),

(0.8, 0.92156862745098034, 0.77254901960784317),

(1.0, 0.92941176470588238, 0.43529411764705883),

)

# 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)],

}

# Categorical palettes from Vega:

# https://github.com/vega/vega/wiki/Scales

# (divided by 255)

_tab10_data = (

(0.12156862745098039, 0.4666666666666667, 0.7058823529411765 ), # 1f77b4

(1.0, 0.4980392156862745, 0.054901960784313725), # ff7f0e

(0.17254901960784313, 0.6274509803921569, 0.17254901960784313 ), # 2ca02c

(0.8392156862745098, 0.15294117647058825, 0.1568627450980392 ), # d62728

(0.5803921568627451, 0.403921568627451, 0.7411764705882353 ), # 9467bd

(0.5490196078431373, 0.33725490196078434, 0.29411764705882354 ), # 8c564b

(0.8901960784313725, 0.4666666666666667, 0.7607843137254902 ), # e377c2

(0.4980392156862745, 0.4980392156862745, 0.4980392156862745 ), # 7f7f7f

(0.7372549019607844, 0.7411764705882353, 0.13333333333333333 ), # bcbd22

(0.09019607843137255, 0.7450980392156863, 0.8117647058823529), # 17becf

)

_tab20_data = (

(0.12156862745098039, 0.4666666666666667, 0.7058823529411765 ), # 1f77b4

(0.6823529411764706, 0.7803921568627451, 0.9098039215686274 ), # aec7e8

(1.0, 0.4980392156862745, 0.054901960784313725), # ff7f0e

(1.0, 0.7333333333333333, 0.47058823529411764 ), # ffbb78

(0.17254901960784313, 0.6274509803921569, 0.17254901960784313 ), # 2ca02c

(0.596078431372549, 0.8745098039215686, 0.5411764705882353 ), # 98df8a

(0.8392156862745098, 0.15294117647058825, 0.1568627450980392 ), # d62728

(1.0, 0.596078431372549, 0.5882352941176471 ), # ff9896

(0.5803921568627451, 0.403921568627451, 0.7411764705882353 ), # 9467bd

(0.7725490196078432, 0.6901960784313725, 0.8352941176470589 ), # c5b0d5

(0.5490196078431373, 0.33725490196078434, 0.29411764705882354 ), # 8c564b

(0.7686274509803922, 0.611764705882353, 0.5803921568627451 ), # c49c94

(0.8901960784313725, 0.4666666666666667, 0.7607843137254902 ), # e377c2

(0.9686274509803922, 0.7137254901960784, 0.8235294117647058 ), # f7b6d2

(0.4980392156862745, 0.4980392156862745, 0.4980392156862745 ), # 7f7f7f

(0.7803921568627451, 0.7803921568627451, 0.7803921568627451 ), # c7c7c7

(0.7372549019607844, 0.7411764705882353, 0.13333333333333333 ), # bcbd22

(0.8588235294117647, 0.8588235294117647, 0.5529411764705883 ), # dbdb8d

(0.09019607843137255, 0.7450980392156863, 0.8117647058823529 ), # 17becf

(0.6196078431372549, 0.8549019607843137, 0.8980392156862745), # 9edae5

)

_tab20b_data = (

(0.2235294117647059, 0.23137254901960785, 0.4745098039215686 ), # 393b79

(0.3215686274509804, 0.32941176470588235, 0.6392156862745098 ), # 5254a3

(0.4196078431372549, 0.43137254901960786, 0.8117647058823529 ), # 6b6ecf

(0.611764705882353, 0.6196078431372549, 0.8705882352941177 ), # 9c9ede

(0.38823529411764707, 0.4745098039215686, 0.2235294117647059 ), # 637939

(0.5490196078431373, 0.6352941176470588, 0.3215686274509804 ), # 8ca252

(0.7098039215686275, 0.8117647058823529, 0.4196078431372549 ), # b5cf6b

(0.807843137254902, 0.8588235294117647, 0.611764705882353 ), # cedb9c

(0.5490196078431373, 0.42745098039215684, 0.19215686274509805), # 8c6d31

(0.7411764705882353, 0.6196078431372549, 0.2235294117647059 ), # bd9e39

(0.9058823529411765, 0.7294117647058823, 0.3215686274509804 ), # e7ba52

(0.9058823529411765, 0.796078431372549, 0.5803921568627451 ), # e7cb94

(0.5176470588235295, 0.23529411764705882, 0.2235294117647059 ), # 843c39

(0.6784313725490196, 0.28627450980392155, 0.2901960784313726 ), # ad494a

(0.8392156862745098, 0.3803921568627451, 0.4196078431372549 ), # d6616b

(0.9058823529411765, 0.5882352941176471, 0.611764705882353 ), # e7969c

(0.4823529411764706, 0.2549019607843137, 0.45098039215686275), # 7b4173

(0.6470588235294118, 0.3176470588235294, 0.5803921568627451 ), # a55194

(0.807843137254902, 0.42745098039215684, 0.7411764705882353 ), # ce6dbd

(0.8705882352941177, 0.6196078431372549, 0.8392156862745098 ), # de9ed6

)

_tab20c_data = (

(0.19215686274509805, 0.5098039215686274, 0.7411764705882353 ), # 3182bd

(0.4196078431372549, 0.6823529411764706, 0.8392156862745098 ), # 6baed6

(0.6196078431372549, 0.792156862745098, 0.8823529411764706 ), # 9ecae1

(0.7764705882352941, 0.8588235294117647, 0.9372549019607843 ), # c6dbef

(0.9019607843137255, 0.3333333333333333, 0.050980392156862744), # e6550d

(0.9921568627450981, 0.5529411764705883, 0.23529411764705882 ), # fd8d3c

(0.9921568627450981, 0.6823529411764706, 0.4196078431372549 ), # fdae6b

(0.9921568627450981, 0.8156862745098039, 0.6352941176470588 ), # fdd0a2

(0.19215686274509805, 0.6392156862745098, 0.32941176470588235 ), # 31a354

(0.4549019607843137, 0.7686274509803922, 0.4627450980392157 ), # 74c476

(0.6313725490196078, 0.8509803921568627, 0.6078431372549019 ), # a1d99b

(0.7803921568627451, 0.9137254901960784, 0.7529411764705882 ), # c7e9c0

(0.4588235294117647, 0.4196078431372549, 0.6941176470588235 ), # 756bb1

(0.6196078431372549, 0.6039215686274509, 0.7843137254901961 ), # 9e9ac8

(0.7372549019607844, 0.7411764705882353, 0.8627450980392157 ), # bcbddc

(0.8549019607843137, 0.8549019607843137, 0.9215686274509803 ), # dadaeb

(0.38823529411764707, 0.38823529411764707, 0.38823529411764707 ), # 636363

(0.5882352941176471, 0.5882352941176471, 0.5882352941176471 ), # 969696

(0.7411764705882353, 0.7411764705882353, 0.7411764705882353 ), # bdbdbd

(0.8509803921568627, 0.8509803921568627, 0.8509803921568627 ), # d9d9d9

)

datad = {

'Blues': _Blues_data,

'BrBG': _BrBG_data,

'BuGn': _BuGn_data,

'BuPu': _BuPu_data,

'CMRmap': _CMRmap_data,

'GnBu': _GnBu_data,

'Greens': _Greens_data,

'Greys': _Greys_data,

'OrRd': _OrRd_data,

'Oranges': _Oranges_data,

'PRGn': _PRGn_data,

'PiYG': _PiYG_data,

'PuBu': _PuBu_data,

'PuBuGn': _PuBuGn_data,

'PuOr': _PuOr_data,

'PuRd': _PuRd_data,

'Purples': _Purples_data,

'RdBu': _RdBu_data,

'RdGy': _RdGy_data,

'RdPu': _RdPu_data,

'RdYlBu': _RdYlBu_data,

'RdYlGn': _RdYlGn_data,

'Reds': _Reds_data,

'Spectral': _Spectral_data,

'Wistia': _wistia_data,

'YlGn': _YlGn_data,

'YlGnBu': _YlGnBu_data,

'YlOrBr': _YlOrBr_data,

'YlOrRd': _YlOrRd_data,

'afmhot': _afmhot_data,

'autumn': _autumn_data,

'binary': _binary_data,

'bone': _bone_data,

'brg': _brg_data,

'bwr': _bwr_data,

'cool': _cool_data,

'coolwarm': _coolwarm_data,

'copper': _copper_data,

'cubehelix': _cubehelix_data,

'flag': _flag_data,

'gist_earth': _gist_earth_data,

'gist_gray': _gist_gray_data,

'gist_heat': _gist_heat_data,

'gist_ncar': _gist_ncar_data,

'gist_rainbow': _gist_rainbow_data,

'gist_stern': _gist_stern_data,

'gist_yarg': _gist_yarg_data,

'gnuplot': _gnuplot_data,

'gnuplot2': _gnuplot2_data,

'gray': _gray_data,

'hot': _hot_data,

'hsv': _hsv_data,

'jet': _jet_data,

'nipy_spectral': _nipy_spectral_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,

# Qualitative

'Accent': {'listed': _Accent_data},

'Dark2': {'listed': _Dark2_data},

'Paired': {'listed': _Paired_data},

'Pastel1': {'listed': _Pastel1_data},

'Pastel2': {'listed': _Pastel2_data},

'Set1': {'listed': _Set1_data},

'Set2': {'listed': _Set2_data},

'Set3': {'listed': _Set3_data},

'tab10': {'listed': _tab10_data},

'tab20': {'listed': _tab20_data},

'tab20b': {'listed': _tab20b_data},

'tab20c': {'listed': _tab20c_data},

}

Coverage for /usr/lib/python3/dist-packages/matplotlib/_cm.py : 88%

102 statements 90 run 12 missing 0 excluded