@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 0x847b62c>
Accent_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bfac>
Blues = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b64c>
Blues_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4c8c>
BrBG = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b66c>
BrBG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d43cc>
BuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b68c>
BuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3a0c>
BuPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b6ac>
BuPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b372c>
Dark2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b6cc>
Dark2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b37cc>
GnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b6ec>
GnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d47ac>
Greens = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b70c>
Greens_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3e4c>
Greys = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b72c>
Greys_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d48ec>
LUTSIZE = 256
OrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b76c>
OrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b306c>
Oranges = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b74c>
Oranges_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b38ec>
PRGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b80c>
PRGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3f6c>
Paired = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b78c>
Paired_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d41ec>
Pastel1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b7ac>
Pastel1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d468c>
Pastel2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b7cc>
Pastel2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d456c>
PiYG = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b7ec>
PiYG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3b4c>
PuBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b82c>
PuBuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b84c>
PuBuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4d2c>
PuBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b32ec>
PuOr = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b86c>
PuOr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4acc>
PuRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b88c>
PuRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4b6c>
Purples = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b8ac>
Purples_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d444c>
RdBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b8cc>
RdBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b310c>
RdGy = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b8ec>
RdGy_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d498c>
RdPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b90c>
RdPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3dac>
RdYlBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b92c>
RdYlBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d414c>
RdYlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b94c>
RdYlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bd2c>
Reds = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b96c>
Reds_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3c8c>
Set1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b98c>
Set1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b324c>
Set2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b9ac>
Set2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bdcc>
Set3 = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b9cc>
Set3_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b338c>
Spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x847b9ec>
Spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bbac>
YlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ba0c>
YlGnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ba2c>
YlGnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d40ac>
YlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d484c>
YlOrBr = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ba4c>
YlOrBr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3bec>
YlOrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ba6c>
YlOrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4a2c>
autumn = <matplotlib.colors.LinearSegmentedColormap instance at 0x84174ec>
autumn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b31ac>
binary = <matplotlib.colors.LinearSegmentedColormap instance at 0x841752c>
binary_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b354c>
bone = <matplotlib.colors.LinearSegmentedColormap instance at 0x841750c>
bone_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4e4c>
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 0x841754c>
cool_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d44ec>
copper = <matplotlib.colors.LinearSegmentedColormap instance at 0x841756c>
copper_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bc8c>
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 0x841758c>
flag_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d428c>
gist_earth = <matplotlib.colors.LinearSegmentedColormap instance at 0x847ba8c>
gist_earth_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4dac>
gist_gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x847baac>
gist_gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d4bec>
gist_heat = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bacc>
gist_heat_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3fec>
gist_ncar = <matplotlib.colors.LinearSegmentedColormap instance at 0x847baec>
gist_ncar_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3ecc>
gist_rainbow = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bb0c>
gist_rainbow_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b340c>
gist_stern = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bb2c>
gist_stern_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d470c>
gist_yarg = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bb4c>
gist_yarg_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b396c>
gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x84175ac>
gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d460c>
hot = <matplotlib.colors.LinearSegmentedColormap instance at 0x84175cc>
hot_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3aac>
hsv = <matplotlib.colors.LinearSegmentedColormap instance at 0x84175ec>
hsv_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84d432c>
jet = <matplotlib.colors.LinearSegmentedColormap instance at 0x841760c>
jet_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b368c>
nx = <matplotlib.numerix._sp_imports._TypeNamespace instance at 0x83914ac>
pink = <matplotlib.colors.LinearSegmentedColormap instance at 0x841762c>
pink_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b34ac>
prism = <matplotlib.colors.LinearSegmentedColormap instance at 0x841764c>
prism_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b386c>
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 0x84176cc>
spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b3d0c>
spring = <matplotlib.colors.LinearSegmentedColormap instance at 0x841766c>
spring_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847bf0c>
summer = <matplotlib.colors.LinearSegmentedColormap instance at 0x841768c>
summer_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x847be6c>
verbose = <matplotlib.Verbose instance at 0x82528ec>
winter = <matplotlib.colors.LinearSegmentedColormap instance at 0x84176ac>
winter_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x84b35ec>
@footer@

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