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.normalize 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 0x1192cf8> Accent_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12391b8> Blues = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192d40> Blues_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4878> BrBG = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192d88> BrBG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6758> BuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192dd0> BuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252518> BuPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192e18> BuPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239f38> Dark2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192e60> Dark2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252098> GnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192ea8> GnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6f38> Greens = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192ef0> Greens_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252cf8> Greys = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192f38> Greys_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c41b8> LUTSIZE = 256 OrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192fc8> OrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12392d8> Oranges = <matplotlib.colors.LinearSegmentedColormap instance at 0x1192f80> Oranges_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12522d8> PRGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236170> PRGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252f38> Paired = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236050> Paired_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a63f8> Pastel1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236098> Pastel1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6cf8> Pastel2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x12360e0> Pastel2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6ab8> PiYG = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236128> PiYG_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252758> PuBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x12361b8> PuBuGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236200> PuBuGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4998> PuBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239758> PuOr = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236248> PuOr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4518> PuRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236290> PuRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4638> Purples = <matplotlib.colors.LinearSegmentedColormap instance at 0x12362d8> Purples_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6878> RdBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236320> RdBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12393f8> RdGy = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236368> RdGy_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c42d8> RdPu = <matplotlib.colors.LinearSegmentedColormap instance at 0x12363b0> RdPu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252bd8> RdYlBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x12363f8> RdYlBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a62d8> RdYlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236440> RdYlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236cf8> Reds = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236488> Reds_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252998> Set1 = <matplotlib.colors.LinearSegmentedColormap instance at 0x12364d0> Set1_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239638> Set2 = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236518> Set2_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236e18> Set3 = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236560> Set3_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239878> Spectral = <matplotlib.colors.LinearSegmentedColormap instance at 0x12365a8> Spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236ab8> YlGn = <matplotlib.colors.LinearSegmentedColormap instance at 0x12365f0> YlGnBu = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236638> YlGnBu_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a61b8> YlGn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4098> YlOrBr = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236680> YlOrBr_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252878> YlOrRd = <matplotlib.colors.LinearSegmentedColormap instance at 0x12366c8> YlOrRd_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c43f8> autumn = <matplotlib.colors.LinearSegmentedColormap instance at 0x9f2c68> autumn_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239518> binary = <matplotlib.colors.LinearSegmentedColormap instance at 0x1149560> binary_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239bd8> bone = <matplotlib.colors.LinearSegmentedColormap instance at 0x11491b8> bone_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4bd8> 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 0x11495a8> cool_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6998> copper = <matplotlib.colors.LinearSegmentedColormap instance at 0x11495f0> copper_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236bd8> 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, 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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 0x1149638> flag_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6518> gist_earth = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236710> gist_earth_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4ab8> gist_gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236758> gist_gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12c4758> gist_heat = <matplotlib.colors.LinearSegmentedColormap instance at 0x12367a0> gist_heat_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6098> gist_ncar = <matplotlib.colors.LinearSegmentedColormap instance at 0x12367e8> gist_ncar_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252e18> gist_rainbow = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236830> gist_rainbow_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239998> gist_stern = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236878> gist_stern_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6e18> gist_yarg = <matplotlib.colors.LinearSegmentedColormap instance at 0x12368c0> gist_yarg_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12523f8> gray = <matplotlib.colors.LinearSegmentedColormap instance at 0x1149680> gray_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6bd8> hot = <matplotlib.colors.LinearSegmentedColormap instance at 0x11496c8> hot_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252638> hsv = <matplotlib.colors.LinearSegmentedColormap instance at 0x1149710> hsv_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12a6638> jet = <matplotlib.colors.LinearSegmentedColormap instance at 0x1149758> jet_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239e18> nx = <matplotlib.numerix._sp_imports._TypeNamespace instance at 0x9f29e0> pink = <matplotlib.colors.LinearSegmentedColormap instance at 0x11497a0> pink_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239ab8> prism = <matplotlib.colors.LinearSegmentedColormap instance at 0x11497e8> prism_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x12521b8> 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 0x1149908> spectral_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1252ab8> spring = <matplotlib.colors.LinearSegmentedColormap instance at 0x1149830> spring_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239098> summer = <matplotlib.colors.LinearSegmentedColormap instance at 0x1149878> summer_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1236f38> verbose = <matplotlib.Verbose instance at 0x8d1878> winter = <matplotlib.colors.LinearSegmentedColormap instance at 0x11498c0> winter_r = <matplotlib.colors.LinearSegmentedColormap instance at 0x1239cf8>