@header@

matplotlib.cm

index
/home/jdhunter/dev/lib/python2.5/site-packages/matplotlib/cm.py

This module contains the instantiations of color mapping classes

Modules

matplotlib.cbook
matplotlib.colors
matplotlib.numerix.npyma
matplotlib
numpy

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.normalize instance to map luminance to 0-1 cmap is a cm colormap instance

add_checker(self, checker)
Add an entry to a dictionary of boolean flags that are set to True when the mappable is changed.

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

check_update(self, checker)
If mappable has changed since the last check, return True; else return False

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 numpy array 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, bytes=False)
Return a normalized rgba array corresponding to x. If x is already an rgb array, insert alpha; if it is already rgba, return it unchanged. If bytes is True, return rgba as 4 uint8s instead of 4 floats.

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 0x85ef0ec>
Accent_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efa2c>
Blues = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef10c>
Blues_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a70c>
BrBG = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef12c>
BrBG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860ae2c>
BuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef14c>
BuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a48c>
BuPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef16c>
BuPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a1ac>
Dark2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef18c>
Dark2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a24c>
GnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef1ac>
GnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a22c>
Greens = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef1cc>
Greens_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a8cc>
Greys = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef1ec>
Greys_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a36c>
LUTSIZE = 256
OrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef22c>
OrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efacc>
Oranges = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef20c>
Oranges_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a36c>
PRGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef2cc>
PRGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a9ec>
Paired = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef24c>
Paired_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860ac4c>
Pastel1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef26c>
Pastel1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a10c>
Pastel2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef28c>
Pastel2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860afcc>
PiYG = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef2ac>
PiYG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a5cc>
PuBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef2ec>
PuBuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef30c>
PuBuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a7ac>
PuBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efd4c>
PuOr = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef32c>
PuOr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a54c>
PuRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef34c>
PuRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a5ec>
Purples = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef36c>
Purples_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860aeac>
RdBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef38c>
RdBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efb6c>
RdGy = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef3ac>
RdGy_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a40c>
RdPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef3cc>
RdPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a82c>
RdYlBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef3ec>
RdYlBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860abac>
RdYlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef40c>
RdYlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef7ac>
Reds = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef42c>
Reds_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a70c>
Set1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef44c>
Set1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efcac>
Set2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef46c>
Set2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef84c>
Set3 = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef48c>
Set3_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efdec>
Spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef4ac>
Spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef66c>
YlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef4cc>
YlGnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef4ec>
YlGnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860ab0c>
YlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a2cc>
YlOrBr = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef50c>
YlOrBr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a66c>
YlOrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef52c>
YlOrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a4ac>
autumn = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a02c>
autumn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efc0c>
binary = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a06c>
binary_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85effac>
bone = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a04c>
bone_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a8cc>
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 0x856a08c>
cool_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860af4c>
copper = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a0ac>
copper_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef70c>
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 0x856a0cc>
flag_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860acec>
gist_earth = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef54c>
gist_earth_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a82c>
gist_gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef56c>
gist_gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a66c>
gist_heat = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef58c>
gist_heat_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860aa6c>
gist_ncar = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef5ac>
gist_ncar_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a94c>
gist_rainbow = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef5cc>
gist_rainbow_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85efe6c>
gist_stern = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef5ec>
gist_stern_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a18c>
gist_yarg = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef60c>
gist_yarg_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a3ec>
gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a0ec>
gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x862a08c>
hot = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a10c>
hot_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a52c>
hsv = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a12c>
hsv_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860ad8c>
jet = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a14c>
jet_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a10c>
pink = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a16c>
pink_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85eff0c>
prism = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a18c>
prism_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a2ec>
spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a20c>
spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a78c>
spring = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a1ac>
spring_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef98c>
summer = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a1cc>
summer_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85ef8ec>
winter = <matplotlib.colors.LinearSegmentedColormap instance at 0x856a1ec>
winter_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x860a06c>
@footer@

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