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Example:
In [102]: get_cmap('hot').name Out[102]: u'hot' In [103]: get_cmap('hot', 5).name Out[103]: u'hot' In [104]: get_cmap('inferno').name Out[104]: 'inferno' In [105]: get_cmap('inferno', 5).name Out[105]: [[0.001462, 0.000466, 0.013866], [0.002267, 0.00127, 0.01857], [0.003299, 0.002249, 0.024239], [0.004547, 0.003392, 0.030909], [0.006006, 0.004692, 0.038558], [0.007676, 0.006136, 0.046836], [0.009561, 0.007713, 0.055143], [0.011663, 0.009417, 0.06346], [0.013995, 0.011225, 0.071862], [0.016561, 0.013136, 0.080282], [0.019373, 0.015133, 0.088767], [0.022447, 0.017199, 0.097327], [0.025793, 0.019331, 0.10593], [0.029432, 0.021503, 0.114621], [0.033385, 0.023702, 0.123397], [0.037668, 0.025921, 0.132232], [0.042253, 0.028139, 0.141141], [0.046915, 0.030324, 0.150164], [0.051644, 0.032474, 0.159254], [0.056449, 0.034569, 0.168414], [0.06134, 0.03659, 0.177642], [0.066331, 0.038504, 0.186962], [0.071429, 0.040294, 0.196354], [0.076637, 0.041905, 0.205799], [0.081962, 0.043328, 0.215289], [0.087411, 0.044556, 0.224813], [0.09299, 0.045583, 0.234358], [0.098702, 0.046402, 0.243904], [0.104551, 0.047008, 0.25343], [0.110536, 0.047399, 0.262912], [0.116656, 0.047574, 0.272321], [0.122908, 0.047536, 0.281624], [0.129285, 0.047293, 0.290788], [0.135778, 0.046856, 0.299776], [0.142378, 0.046242, 0.308553], [0.149073, 0.045468, 0.317085], [0.15585, 0.044559, 0.325338], [0.162689, 0.043554, 0.333277], [0.169575, 0.042489, 0.340874], [0.176493, 0.041402, 0.348111], [0.183429, 0.040329, 0.354971], [0.190367, 0.039309, 0.361447], [0.197297, 0.0384, 0.367535], [0.204209, 0.037632, 0.373238], [0.211095, 0.03703, 0.378563], [0.217949, 0.036615, 0.383522], [0.224763, 0.036405, 0.388129], [0.231538, 0.036405, 0.3924], [0.238273, 0.036621, 0.396353], [0.244967, 0.037055, 0.400007], [0.25162, 0.037705, 0.403378], [0.258234, 0.038571, 0.406485], [0.26481, 0.039647, 0.409345], [0.271347, 0.040922, 0.411976], [0.27785, 0.042353, 0.414392], [0.284321, 0.043933, 0.416608], [0.290763, 0.045644, 0.418637], [0.297178, 0.04747, 0.420491], [0.303568, 0.049396, 0.422182], [0.309935, 0.051407, 0.423721], [0.316282, 0.05349, 0.425116], [0.32261, 0.055634, 0.426377], [0.328921, 0.057827, 0.427511], [0.335217, 0.06006, 0.428524], [0.3415, 0.062325, 0.429425], [0.347771, 0.064616, 0.430217], [0.354032, 0.066925, 0.430906], [0.360284, 0.069247, 0.431497], [0.366529, 0.071579, 0.431994], [0.372768, 0.073915, 0.4324], [0.379001, 0.076253, 0.432719], [0.385228, 0.078591, 0.432955], [0.391453, 0.080927, 0.433109], [0.397674, 0.083257, 0.433183], [0.403894, 0.08558, 0.433179], [0.410113, 0.087896, 0.433098], [0.416331, 0.090203, 0.432943], [0.422549, 0.092501, 0.432714], [0.428768, 0.09479, 0.432412], [0.434987, 0.097069, 0.432039], [0.441207, 0.099338, 0.431594], [0.447428, 0.101597, 0.43108], [0.453651, 0.103848, 0.430498], [0.459875, 0.106089, 0.429846], [0.4661, 0.108322, 0.429125], [0.472328, 0.110547, 0.428334], [0.478558, 0.112764, 0.427475], [0.484789, 0.114974, 0.426548], [0.491022, 0.117179, 0.425552], [0.497257, 0.119379, 0.424488], [0.503493, 0.121575, 0.423356], [0.50973, 0.123769, 0.422156], [0.515967, 0.12596, 0.420887], [0.522206, 0.12815, 0.419549], [0.528444, 0.130341, 0.418142], [0.534683, 0.132534, 0.416667], [0.54092, 0.134729, 0.415123], [0.547157, 0.136929, 0.413511], [0.553392, 0.139134, 0.411829], [0.559624, 0.141346, 0.410078], [0.565854, 0.143567, 0.408258], [0.572081, 0.145797, 0.406369], [0.578304, 0.148039, 0.404411], [0.584521, 0.150294, 0.402385], [0.590734, 0.152563, 0.40029], [0.59694, 0.154848, 0.398125], [0.603139, 0.157151, 0.395891], [0.60933, 0.159474, 0.393589], [0.615513, 0.161817, 0.391219], [0.621685, 0.164184, 0.388781], [0.627847, 0.166575, 0.386276], [0.633998, 0.168992, 0.383704], [0.640135, 0.171438, 0.381065], [0.64626, 0.173914, 0.378359], [0.652369, 0.176421, 0.375586], [0.658463, 0.178962, 0.372748], [0.66454, 0.181539, 0.369846], [0.670599, 0.184153, 0.366879], [0.676638, 0.186807, 0.363849], [0.682656, 0.189501, 0.360757], [0.688653, 0.192239, 0.357603], [0.694627, 0.195021, 0.354388], [0.700576, 0.197851, 0.351113], [0.7065, 0.200728, 0.347777], [0.712396, 0.203656, 0.344383], [0.718264, 0.206636, 0.340931], [0.724103, 0.20967, 0.337424], [0.729909, 0.212759, 0.333861], [0.735683, 0.215906, 0.330245], [0.741423, 0.219112, 0.326576], [0.747127, 0.222378, 0.322856], [0.752794, 0.225706, 0.319085], [0.758422, 0.229097, 0.315266], [0.76401, 0.232554, 0.311399], [0.769556, 0.236077, 0.307485], [0.775059, 0.239667, 0.303526], [0.780517, 0.243327, 0.299523], [0.785929, 0.247056, 0.295477], [0.791293, 0.250856, 0.29139], [0.796607, 0.254728, 0.287264], [0.801871, 0.258674, 0.283099], [0.807082, 0.262692, 0.278898], [0.812239, 0.266786, 0.274661], [0.817341, 0.270954, 0.27039], [0.822386, 0.275197, 0.266085], [0.827372, 0.279517, 0.26175], [0.832299, 0.283913, 0.257383], [0.837165, 0.288385, 0.252988], [0.841969, 0.292933, 0.248564], [0.846709, 0.297559, 0.244113], [0.851384, 0.30226, 0.239636], [0.855992, 0.307038, 0.235133], [0.860533, 0.311892, 0.230606], [0.865006, 0.316822, 0.226055], [0.869409, 0.321827, 0.221482], [0.873741, 0.326906, 0.216886], [0.878001, 0.33206, 0.212268], [0.882188, 0.337287, 0.207628], [0.886302, 0.342586, 0.202968], [0.890341, 0.347957, 0.198286], [0.894305, 0.353399, 0.193584], [0.898192, 0.358911, 0.18886], [0.902003, 0.364492, 0.184116], [0.905735, 0.37014, 0.17935], [0.90939, 0.375856, 0.174563], [0.912966, 0.381636, 0.169755], [0.916462, 0.387481, 0.164924], [0.919879, 0.393389, 0.16007], [0.923215, 0.399359, 0.155193], [0.92647, 0.405389, 0.150292], [0.929644, 0.411479, 0.145367], [0.932737, 0.417627, 0.140417], [0.935747, 0.423831, 0.13544], [0.938675, 0.430091, 0.130438], [0.941521, 0.436405, 0.125409], [0.944285, 0.442772, 0.120354], [0.946965, 0.449191, 0.115272], [0.949562, 0.45566, 0.110164], [0.952075, 0.462178, 0.105031], [0.954506, 0.468744, 0.099874], [0.956852, 0.475356, 0.094695], [0.959114, 0.482014, 0.089499], [0.961293, 0.488716, 0.084289], [0.963387, 0.495462, 0.079073], [0.965397, 0.502249, 0.073859], [0.967322, 0.509078, 0.068659], [0.969163, 0.515946, 0.063488], [0.970919, 0.522853, 0.058367], [0.97259, 0.529798, 0.053324], [0.974176, 0.53678, 0.048392], [0.975677, 0.543798, 0.043618], [0.977092, 0.55085, 0.03905], [0.978422, 0.557937, 0.034931], [0.979666, 0.565057, 0.031409], [0.980824, 0.572209, 0.028508], [0.981895, 0.579392, 0.02625], [0.982881, 0.586606, 0.024661], [0.983779, 0.593849, 0.02377], [0.984591, 0.601122, 0.023606], [0.985315, 0.608422, 0.024202], [0.985952, 0.61575, 0.025592], [0.986502, 0.623105, 0.027814], [0.986964, 0.630485, 0.030908], [0.987337, 0.63789, 0.034916], [0.987622, 0.64532, 0.039886], [0.987819, 0.652773, 0.045581], [0.987926, 0.66025, 0.05175], [0.987945, 0.667748, 0.058329], [0.987874, 0.675267, 0.065257], [0.987714, 0.682807, 0.072489], [0.987464, 0.690366, 0.07999], [0.987124, 0.697944, 0.087731], [0.986694, 0.70554, 0.095694], [0.986175, 0.713153, 0.103863], [0.985566, 0.720782, 0.112229], [0.984865, 0.728427, 0.120785], [0.984075, 0.736087, 0.129527], [0.983196, 0.743758, 0.138453], [0.982228, 0.751442, 0.147565], [0.981173, 0.759135, 0.156863], [0.980032, 0.766837, 0.166353], [0.978806, 0.774545, 0.176037], [0.977497, 0.782258, 0.185923], [0.976108, 0.789974, 0.196018], [0.974638, 0.797692, 0.206332], [0.973088, 0.805409, 0.216877], [0.971468, 0.813122, 0.227658], [0.969783, 0.820825, 0.238686], [0.968041, 0.828515, 0.249972], [0.966243, 0.836191, 0.261534], [0.964394, 0.843848, 0.273391], [0.962517, 0.851476, 0.285546], [0.960626, 0.859069, 0.29801], [0.95872, 0.866624, 0.31082], [0.956834, 0.874129, 0.323974], [0.954997, 0.881569, 0.337475], [0.953215, 0.888942, 0.351369], [0.951546, 0.896226, 0.365627], [0.950018, 0.903409, 0.380271], [0.948683, 0.910473, 0.395289], [0.947594, 0.917399, 0.410665], [0.946809, 0.924168, 0.426373], [0.946392, 0.930761, 0.442367], [0.946403, 0.937159, 0.458592], [0.946903, 0.943348, 0.47497], [0.947937, 0.949318, 0.491426], [0.949545, 0.955063, 0.50786], [0.95174, 0.960587, 0.524203], [0.954529, 0.965896, 0.540361], [0.957896, 0.971003, 0.556275], [0.961812, 0.975924, 0.571925], [0.966249, 0.980678, 0.587206], [0.971162, 0.985282, 0.602154], [0.976511, 0.989753, 0.61676], [0.982257, 0.994109, 0.631017], [0.988362, 0.998364, 0.644924]]
Either it shouldn't allow you to specify a lutsize or it should produce a correct name, I would think.
MPL 1.5.1 Windows 7 64-bit Python 2.7.11 |Anaconda 2.5.0 (64-bit)| (default, Jan 29 2016, 14:26:21) [MSC v.1500 64 bit (AMD64)] IPython 4.0.3
The text was updated successfully, but these errors were encountered:
This is part of the same problem illustrated in #6025: the ListedColormap._resample method is incorrect, so I will close this as a duplicate.
ListedColormap._resample
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Either it shouldn't allow you to specify a lutsize or it should produce a correct name, I would think.
MPL 1.5.1
Windows 7 64-bit
Python 2.7.11 |Anaconda 2.5.0 (64-bit)| (default, Jan 29 2016, 14:26:21) [MSC v.1500 64 bit (AMD64)]
IPython 4.0.3
The text was updated successfully, but these errors were encountered: