@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

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 0x855b20c>
Accent_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bb4c>
Blues = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b22c>
Blues_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa82c>
BrBG = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b24c>
BrBG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586f4c>
BuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b26c>
BuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85865ac>
BuPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b28c>
BuPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85862cc>
Dark2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b2ac>
Dark2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858636c>
GnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b2cc>
GnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa34c>
Greens = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b2ec>
Greens_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85869ec>
Greys = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b30c>
Greys_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa48c>
LUTSIZE = 256
OrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b34c>
OrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bbec>
Oranges = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b32c>
Oranges_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858648c>
PRGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b3ec>
PRGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586b0c>
Paired = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b36c>
Paired_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586d6c>
Pastel1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b38c>
Pastel1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa22c>
Pastel2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b3ac>
Pastel2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa10c>
PiYG = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b3cc>
PiYG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85866ec>
PuBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b40c>
PuBuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b42c>
PuBuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa8cc>
PuBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855be6c>
PuOr = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b44c>
PuOr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa66c>
PuRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b46c>
PuRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa70c>
Purples = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b48c>
Purples_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586fcc>
RdBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b4ac>
RdBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bc8c>
RdGy = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b4cc>
RdGy_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa52c>
RdPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b4ec>
RdPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858694c>
RdYlBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b50c>
RdYlBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586ccc>
RdYlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b52c>
RdYlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b8cc>
Reds = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b54c>
Reds_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858682c>
Set1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b56c>
Set1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bdcc>
Set2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b58c>
Set2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b96c>
Set3 = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b5ac>
Set3_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bf0c>
Spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b5cc>
Spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b78c>
YlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b5ec>
YlGnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b60c>
YlGnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586c2c>
YlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa3ec>
YlOrBr = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b62c>
YlOrBr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858678c>
YlOrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b64c>
YlOrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa5cc>
autumn = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb14c>
autumn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bd2c>
binary = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb18c>
binary_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85860ec>
bone = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb16c>
bone_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa9ec>
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 0x84eb1ac>
cool_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa08c>
copper = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb1cc>
copper_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b82c>
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 0x84eb1ec>
flag_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586e0c>
gist_earth = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b66c>
gist_earth_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa94c>
gist_gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b68c>
gist_gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa78c>
gist_heat = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b6ac>
gist_heat_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586b8c>
gist_ncar = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b6cc>
gist_ncar_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586a6c>
gist_rainbow = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b6ec>
gist_rainbow_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855bf8c>
gist_stern = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b70c>
gist_stern_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa2ac>
gist_yarg = <matplotlib.colors.LinearSegmentedColormap instance at 0x855b72c>
gist_yarg_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858650c>
gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb20c>
gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85aa1ac>
hot = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb22c>
hot_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858664c>
hsv = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb24c>
hsv_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x8586eac>
jet = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb26c>
jet_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858622c>
pink = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb28c>
pink_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858604c>
prism = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb2ac>
prism_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858640c>
spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb32c>
spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x85868ac>
spring = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb2cc>
spring_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855baac>
summer = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb2ec>
summer_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x855ba0c>
winter = <matplotlib.colors.LinearSegmentedColormap instance at 0x84eb30c>
winter_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x858618c>
@footer@

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