@header@

matplotlib.cm

index
/usr/local/lib/python2.5/site-packages/matplotlib/cm.py

This module contains the instantiations of color mapping classes

Modules

matplotlib.colors
matplotlib.numerix.ma

Classes

ScalarMappable

class ScalarMappable

This is a mixin class to support scalar -> RGBA mapping. Handles normalization and colormapping

Methods defined here:

__init__(self, norm=None, cmap=None)
norm is a colors.Norm instance to map luminance to 0-1 cmap is a cm colormap instance

add_observer(self, mappable)
whenever the norm, clim or cmap is set, call the notify instance of the mappable observer with self. This is designed to allow one image to follow changes in the cmap of another image

autoscale(self)
Autoscale the scalar limits on the norm instance using the current array

autoscale_None(self)
Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None

changed(self)
Call this whenever the mappable is changed so observers can update state

get_array(self)
Return the array

get_clim(self)
return the min, max of the color limits for image scaling

notify(self, mappable)
If this is called then we are pegged to another mappable. Update our cmap, norm, alpha from the other mappable.

set_array(self, A)
Set the image array from numeric/numarray A

set_clim(self, vmin=None, vmax=None)
set the norm limits for image scaling; if vmin is a length2 sequence, interpret it as (vmin, vmax) which is used to support setp ACCEPTS: a length 2 sequence of floats

set_cmap(self, cmap)
set the colormap for luminance data ACCEPTS: a colormap

set_colorbar(self, im, ax)
set the colorbar image and axes associated with mappable

set_norm(self, norm)
set the normalization instance

to_rgba(self, x, alpha=1.0)
Return a normalized rgba array corresponding to x. If x is already an rgb or rgba array, return it unchanged.

Functions

get_cmap(name=None, lut=None)
Get a colormap instance, defaulting to rc values if name is None

Data

Accent = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c5cc>
Accent_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cf4c>
Blues = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c5ec>
Blues_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dcc2c>
BrBG = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c60c>
BrBG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc36c>
BuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c62c>
BuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b49ac>
BuPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c64c>
BuPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b46cc>
Dark2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c66c>
Dark2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b476c>
GnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c68c>
GnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc74c>
Greens = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c6ac>
Greens_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4dec>
Greys = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c6cc>
Greys_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc88c>
LUTSIZE = 256
OrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c70c>
OrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cfec>
Oranges = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c6ec>
Oranges_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b488c>
PRGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c7ac>
PRGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4f0c>
Paired = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c72c>
Paired_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc18c>
Pastel1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c74c>
Pastel1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc62c>
Pastel2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c76c>
Pastel2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc50c>
PiYG = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c78c>
PiYG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4aec>
PuBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c7cc>
PuBuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c7ec>
PuBuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dcccc>
PuBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b428c>
PuOr = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c80c>
PuOr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dca6c>
PuRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c82c>
PuRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dcb0c>
Purples = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c84c>
Purples_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc3ec>
RdBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c86c>
RdBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b40ac>
RdGy = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c88c>
RdGy_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc92c>
RdPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c8ac>
RdPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4d4c>
RdYlBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c8cc>
RdYlBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc0ec>
RdYlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c8ec>
RdYlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cccc>
Reds = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c90c>
Reds_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4c2c>
Set1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c92c>
Set1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b41ec>
Set2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c94c>
Set2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cd6c>
Set3 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c96c>
Set3_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b432c>
Spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c98c>
Spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cb4c>
YlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c9ac>
YlGnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c9cc>
YlGnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc04c>
YlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc7ec>
YlOrBr = <matplotlib.colors.LinearSegmentedColormap instance at 0x847c9ec>
YlOrBr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4b8c>
YlOrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ca0c>
YlOrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc9cc>
autumn = <matplotlib.colors.LinearSegmentedColormap instance at 0x841748c>
autumn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b414c>
binary = <matplotlib.colors.LinearSegmentedColormap instance at 0x84174cc>
binary_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b44ec>
bone = <matplotlib.colors.LinearSegmentedColormap instance at 0x84174ac>
bone_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dcdec>
cmapdat_r = {'blue': [(0.0, 1.0, 1.0), (0.63492100000000007, 0.44444400000000001, 0.44444400000000001), (1.0, 0.0, 0.0)], 'green': [(0.0, 1.0, 1.0), (0.25396799999999997, 0.77777799999999997, 0.77777799999999997), (0.63492100000000007, 0.31944400000000001, 0.31944400000000001), (1.0, 0.0, 0.0)], 'red': [(0.0, 1.0, 1.0), (0.25396799999999997, 0.65277799999999997, 0.65277799999999997), (1.0, 0.0, 0.0)]}
cmapname = 'bone'
cmapname_r = 'bone_r'
cmapnames = ['Spectral', 'copper', 'RdYlGn', 'Set2', 'summer', 'spring', 'Accent', 'OrRd', 'RdBu', 'autumn', 'Set1', 'PuBu', 'Set3', 'gist_rainbow', 'pink', 'binary', 'winter', 'jet', 'BuPu', 'Dark2', ...]
cool = <matplotlib.colors.LinearSegmentedColormap instance at 0x84174ec>
cool_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc48c>
copper = <matplotlib.colors.LinearSegmentedColormap instance at 0x841750c>
copper_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cc2c>
datad = {'Accent': {'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)]}, 'Accent_r': {'blue': [(0.0, 0.40000000596046448, 0.40000000596046448), (0.1428571428571429, 0.090196080505847931, 0.090196080505847931), (0.2857142857142857, 0.49803921580314636, 0.49803921580314636), (0.4285714285714286, 0.69019609689712524, 0.69019609689712524), (0.5714285714285714, 0.60000002384185791, 0.60000002384185791), (0.7142857142857143, 0.52549022436141968, 0.52549022436141968), (0.85714285714285721, 0.83137255907058716, 0.83137255907058716), (1.0, 0.49803921580314636, 0.49803921580314636)], 'green': [(0.0, 0.40000000596046448, 0.40000000596046448), (0.1428571428571429, 0.35686275362968445, 0.35686275362968445), (0.2857142857142857, 0.0078431377187371254, 0.0078431377187371254), (0.4285714285714286, 0.42352941632270813, 0.42352941632270813), (0.5714285714285714, 1.0, 1.0), (0.7142857142857143, 0.75294119119644165, 0.75294119119644165), (0.85714285714285721, 0.68235296010971069, 0.68235296010971069), (1.0, 0.78823530673980713, 0.78823530673980713)], 'red': [(0.0, 0.40000000596046448, 0.40000000596046448), (0.1428571428571429, 0.74901962280273438, 0.74901962280273438), (0.2857142857142857, 0.94117647409439087, 0.94117647409439087), (0.4285714285714286, 0.21960784494876862, 0.21960784494876862), (0.5714285714285714, 1.0, 1.0), (0.7142857142857143, 0.99215686321258545, 0.99215686321258545), (0.85714285714285721, 0.7450980544090271, 0.7450980544090271), (1.0, 0.49803921580314636, 0.49803921580314636)]}, 'Blues': {'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)]}, 'Blues_r': {'blue': [(0.0, 0.41960784792900085, 0.41960784792900085), (0.125, 0.61176472902297974, 0.61176472902297974), (0.25, 0.70980393886566162, 0.70980393886566162), (0.375, 0.7764706015586853, 0.7764706015586853), (0.5, 0.83921569585800171, 0.83921569585800171), (0.625, 0.88235294818878174, 0.88235294818878174), (0.75, 0.93725490570068359, 0.93725490570068359), (0.875, 0.9686274528503418, 0.9686274528503418), (1.0, 1.0, 1.0)], 'green': [(0.0, 0.18823529779911041, 0.18823529779911041), (0.125, 0.31764706969261169, 0.31764706969261169), (0.25, 0.44313725829124451, 0.44313725829124451), (0.375, 0.57254904508590698, 0.57254904508590698), (0.5, 0.68235296010971069, 0.68235296010971069), (0.625, 0.7921568751335144, 0.7921568751335144), (0.75, 0.85882353782653809, 0.85882353782653809), (0.875, 0.92156863212585449, 0.92156863212585449), (1.0, 0.9843137264251709, 0.9843137264251709)], 'red': [(0.0, 0.031372550874948502, 0.031372550874948502), (0.125, 0.031372550874948502, 0.031372550874948502), (0.25, 0.12941177189350128, 0.12941177189350128), (0.375, 0.25882354378700256, 0.25882354378700256), (0.5, 0.41960784792900085, 0.41960784792900085), (0.625, 0.61960786581039429, 0.61960786581039429), (0.75, 0.7764706015586853, 0.7764706015586853), (0.875, 0.87058824300765991, 0.87058824300765991), (1.0, 0.9686274528503418, 0.9686274528503418)]}, 'BrBG': {'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)]}, 'BrBG_r': {'blue': [(0.0, 0.18823529779911041, 0.18823529779911041), (0.099999999999999978, 0.36862745881080627, 0.36862745881080627), (0.19999999999999996, 0.56078433990478516, 0.56078433990478516), (0.30000000000000004, 0.75686275959014893, 0.75686275959014893), (0.40000000000000002, 0.89803922176361084, 0.89803922176361084), (0.5, 0.96078431606292725, 0.96078431606292725), (0.59999999999999998, 0.76470589637756348, 0.76470589637756348), (0.69999999999999996, 0.49019607901573181, 0.49019607901573181), (0.80000000000000004, 0.17647059261798859, 0.17647059261798859), (0.90000000000000002, 0.039215687662363052, 0.039215687662363052), (1.0, 0.019607843831181526, 0.019607843831181526)], 'green': [(0.0, 0.23529411852359772, 0.23529411852359772), (0.099999999999999978, 0.40000000596046448, 0.40000000596046448), (0.19999999999999996, 0.59215688705444336, 0.59215688705444336), (0.30000000000000004, 0.80392158031463623, 0.80392158031463623), (0.40000000000000002, 0.91764706373214722, 0.91764706373214722), (0.5, 0.96078431606292725, 0.96078431606292725), (0.59999999999999998, 0.90980392694473267, 0.90980392694473267), (0.69999999999999996, 0.7607843279838562, 0.7607843279838562), (0.80000000000000004, 0.5058823823928833, 0.5058823823928833), (0.90000000000000002, 0.31764706969261169, 0.31764706969261169), (1.0, 0.18823529779911041, 0.18823529779911041)], 'red': [(0.0, 0.0, 0.0), (0.099999999999999978, 0.0039215688593685627, 0.0039215688593685627), (0.19999999999999996, 0.20784313976764679, 0.20784313976764679), (0.30000000000000004, 0.50196081399917603, 0.50196081399917603), (0.40000000000000002, 0.78039216995239258, 0.78039216995239258), (0.5, 0.96078431606292725, 0.96078431606292725), (0.59999999999999998, 0.96470588445663452, 0.96470588445663452), (0.69999999999999996, 0.87450981140136719, 0.87450981140136719), (0.80000000000000004, 0.74901962280273438, 0.74901962280273438), (0.90000000000000002, 0.54901963472366333, 0.54901963472366333), (1.0, 0.32941177487373352, 0.32941177487373352)]}, 'BuGn': {'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)]}, 'BuGn_r': {'blue': [(0.0, 0.10588235408067703, 0.10588235408067703), (0.125, 0.17254902422428131, 0.17254902422428131), (0.25, 0.27058824896812439, 0.27058824896812439), (0.375, 0.46274510025978088, 0.46274510025978088), (0.5, 0.64313727617263794, 0.64313727617263794), (0.625, 0.78823530673980713, 0.78823530673980713), (0.75, 0.90196079015731812, 0.90196079015731812), (0.875, 0.97647058963775635, 0.97647058963775635), (1.0, 0.99215686321258545, 0.99215686321258545)], 'green': [(0.0, 0.26666668057441711, 0.26666668057441711), (0.125, 0.42745098471641541, 0.42745098471641541), (0.25, 0.54509806632995605, 0.54509806632995605), (0.375, 0.68235296010971069, 0.68235296010971069), (0.5, 0.7607843279838562, 0.7607843279838562), (0.625, 0.84705883264541626, 0.84705883264541626), (0.75, 0.92549020051956177, 0.92549020051956177), (0.875, 0.96078431606292725, 0.96078431606292725), (1.0, 0.98823529481887817, 0.98823529481887817)], 'red': [(0.0, 0.0, 0.0), (0.125, 0.0, 0.0), (0.25, 0.13725490868091583, 0.13725490868091583), (0.375, 0.25490197539329529, 0.25490197539329529), (0.5, 0.40000000596046448, 0.40000000596046448), (0.625, 0.60000002384185791, 0.60000002384185791), (0.75, 0.80000001192092896, 0.80000001192092896), (0.875, 0.89803922176361084, 0.89803922176361084), (1.0, 0.9686274528503418, 0.9686274528503418)]}, 'BuPu': {'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)]}, 'BuPu_r': {'blue': [(0.0, 0.29411765933036804, 0.29411765933036804), (0.125, 0.48627451062202454, 0.48627451062202454), (0.25, 0.61568629741668701, 0.61568629741668701), (0.375, 0.69411766529083252, 0.69411766529083252), (0.5, 0.7764706015586853, 0.7764706015586853), (0.625, 0.85490196943283081, 0.85490196943283081), (0.75, 0.90196079015731812, 0.90196079015731812), (0.875, 0.95686274766921997, 0.95686274766921997), (1.0, 0.99215686321258545, 0.99215686321258545)], 'green': [(0.0, 0.0, 0.0), (0.125, 0.058823529630899429, 0.058823529630899429), (0.25, 0.25490197539329529, 0.25490197539329529), (0.375, 0.41960784792900085, 0.41960784792900085), (0.5, 0.58823531866073608, 0.58823531866073608), (0.625, 0.73725491762161255, 0.73725491762161255), (0.75, 0.82745099067687988, 0.82745099067687988), (0.875, 0.92549020051956177, 0.92549020051956177), (1.0, 0.98823529481887817, 0.98823529481887817)], 'red': [(0.0, 0.30196079611778259, 0.30196079611778259), (0.125, 0.5058823823928833, 0.5058823823928833), (0.25, 0.53333336114883423, 0.53333336114883423), (0.375, 0.54901963472366333, 0.54901963472366333), (0.5, 0.54901963472366333, 0.54901963472366333), (0.625, 0.61960786581039429, 0.61960786581039429), (0.75, 0.74901962280273438, 0.74901962280273438), (0.875, 0.87843137979507446, 0.87843137979507446), (1.0, 0.9686274528503418, 0.9686274528503418)]}, ...}
flag = <matplotlib.colors.LinearSegmentedColormap instance at 0x841752c>
flag_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc22c>
gist_earth = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ca2c>
gist_earth_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dcd4c>
gist_gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ca4c>
gist_gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dcb8c>
gist_heat = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ca6c>
gist_heat_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4f8c>
gist_ncar = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ca8c>
gist_ncar_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4e6c>
gist_rainbow = <matplotlib.colors.LinearSegmentedColormap instance at 0x847caac>
gist_rainbow_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b43ac>
gist_stern = <matplotlib.colors.LinearSegmentedColormap instance at 0x847cacc>
gist_stern_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc6ac>
gist_yarg = <matplotlib.colors.LinearSegmentedColormap instance at 0x847caec>
gist_yarg_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b490c>
gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x841754c>
gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc5ac>
hot = <matplotlib.colors.LinearSegmentedColormap instance at 0x841756c>
hot_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4a4c>
hsv = <matplotlib.colors.LinearSegmentedColormap instance at 0x841758c>
hsv_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84dc2cc>
jet = <matplotlib.colors.LinearSegmentedColormap instance at 0x84175ac>
jet_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b462c>
nx = <matplotlib.numerix._sp_imports._TypeNamespace instance at 0x839144c>
pink = <matplotlib.colors.LinearSegmentedColormap instance at 0x84175cc>
pink_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b444c>
prism = <matplotlib.colors.LinearSegmentedColormap instance at 0x84175ec>
prism_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b480c>
rcParams = {'axes.axisbelow': False, 'axes.edgecolor': 'k', 'axes.facecolor': 'w', 'axes.formatter.limits': (-7, 7), 'axes.grid': False, 'axes.hold': True, 'axes.labelcolor': 'k', 'axes.labelsize': 12, 'axes.linewidth': 1.0, 'axes.titlesize': 14, ...}
spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x841766c>
spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b4cac>
spring = <matplotlib.colors.LinearSegmentedColormap instance at 0x841760c>
spring_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ceac>
summer = <matplotlib.colors.LinearSegmentedColormap instance at 0x841762c>
summer_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ce0c>
verbose = <matplotlib.Verbose instance at 0x82528ec>
winter = <matplotlib.colors.LinearSegmentedColormap instance at 0x841764c>
winter_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b458c>
@footer@

Functions
		get_cmap(name=None, lut=None) `Get a colormap instance, defaulting to rc values if name is None`