@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.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 0xb5c2962c>
Accent_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29fac>
Blues = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2964c>
Blues_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01c8c>
BrBG = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2966c>
BrBG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c013cc>
BuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2968c>
BuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62a0c>
BuPu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c296ac>
BuPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6272c>
Dark2 = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c296cc>
Dark2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c627cc>
GnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c296ec>
GnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c017ac>
Greens = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2970c>
Greens_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62e4c>
Greys = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2972c>
Greys_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c018ec>
LUTSIZE = 256
OrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2976c>
OrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6206c>
Oranges = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2974c>
Oranges_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c628ec>
PRGn = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2980c>
PRGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62f6c>
Paired = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2978c>
Paired_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c011ec>
Pastel1 = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c297ac>
Pastel1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0168c>
Pastel2 = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c297cc>
Pastel2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0156c>
PiYG = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c297ec>
PiYG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62b4c>
PuBu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2982c>
PuBuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2984c>
PuBuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01d2c>
PuBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c622ec>
PuOr = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2986c>
PuOr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01acc>
PuRd = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2988c>
PuRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01b6c>
Purples = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c298ac>
Purples_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0144c>
RdBu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c298cc>
RdBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6210c>
RdGy = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c298ec>
RdGy_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0198c>
RdPu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2990c>
RdPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62dac>
RdYlBu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2992c>
RdYlBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0114c>
RdYlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2994c>
RdYlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29d2c>
Reds = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2996c>
Reds_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62c8c>
Set1 = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c2998c>
Set1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6224c>
Set2 = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c299ac>
Set2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29dcc>
Set3 = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c299cc>
Set3_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6238c>
Spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c299ec>
Spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29bac>
YlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29a0c>
YlGnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29a2c>
YlGnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c010ac>
YlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0184c>
YlOrBr = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29a4c>
YlOrBr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62bec>
YlOrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29a6c>
YlOrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01a2c>
autumn = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c964ec>
autumn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c621ac>
binary = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9652c>
binary_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6254c>
bone = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9650c>
bone_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01e4c>
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 0xb5c9654c>
cool_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c014ec>
copper = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9656c>
copper_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29c8c>
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 0xb5c9658c>
flag_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0128c>
gist_earth = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29a8c>
gist_earth_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01dac>
gist_gray = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29aac>
gist_gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c01bec>
gist_heat = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29acc>
gist_heat_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62fec>
gist_ncar = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29aec>
gist_ncar_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62ecc>
gist_rainbow = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29b0c>
gist_rainbow_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6240c>
gist_stern = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29b2c>
gist_stern_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0170c>
gist_yarg = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29b4c>
gist_yarg_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6296c>
gray = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c965ac>
gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0160c>
hot = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c965cc>
hot_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62aac>
hsv = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c965ec>
hsv_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c0132c>
jet = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9660c>
jet_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6268c>
nx = <matplotlib.numerix._sp_imports._TypeNamespace instance at 0xb695c4ac>
pink = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9662c>
pink_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c624ac>
prism = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9664c>
prism_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c6286c>
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 0xb5c966cc>
spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c62d0c>
spring = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9666c>
spring_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29f0c>
summer = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c9668c>
summer_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c29e6c>
verbose = <matplotlib.Verbose instance at 0xb7b378ec>
winter = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c966ac>
winter_r = <matplotlib.colors.LinearSegmentedColormap instance at 0xb5c625ec>
@footer@

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