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Commitb01462c

Browse files
trygvradQuLogic
andauthored
MultivarColormap and BivarColormap (#28454)
MultivarColormap and BivarColormapCreation and tests for the classes MultivarColormap and BivarColormap.Co-authored-by: Elliott Sales de Andrade <quantum.analyst@gmail.com>
1 parent3eda5a3 commitb01462c

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-5
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‎lib/matplotlib/__init__.py

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"interactive",
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"is_interactive",
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"colormaps",
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"multivar_colormaps",
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"bivar_colormaps",
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"color_sequences",
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]
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# workaround: we must defer colormaps import to after loading rcParams, because
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# colormap creation depends on rcParams
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frommatplotlib.cmimport_colormapsascolormaps# noqa: E402
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frommatplotlib.cmimport_multivar_colormapsasmultivar_colormaps# noqa: E402
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frommatplotlib.cmimport_bivar_colormapsasbivar_colormaps# noqa: E402
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frommatplotlib.colorsimport_color_sequencesascolor_sequences# noqa: E402

‎lib/matplotlib/__init__.pyi

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)->Callable: ...
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frommatplotlib.cmimport_colormapsascolormaps# noqa: E402
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frommatplotlib.cmimport_multivar_colormapsasmultivar_colormaps# noqa: E402
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frommatplotlib.cmimport_bivar_colormapsasbivar_colormaps# noqa: E402
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frommatplotlib.colorsimport_color_sequencesascolor_sequences# noqa: E402

‎lib/matplotlib/_cm_bivar.py

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‎lib/matplotlib/_cm_multivar.py

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# auto-generated by https://github.com/trygvrad/multivariate_colormaps
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# date: 2024-05-28
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from .colorsimportLinearSegmentedColormap,MultivarColormap
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importmatplotlibasmpl
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_LUTSIZE=mpl.rcParams['image.lut']
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_2VarAddA0_data= [[0.000,0.000,0.000],
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[0.020,0.026,0.031],
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[0.049,0.068,0.085],
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[0.075,0.107,0.135],
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[0.097,0.144,0.183],
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[0.116,0.178,0.231],
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[0.133,0.212,0.279],
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[0.148,0.244,0.326],
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[0.161,0.276,0.374],
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[0.173,0.308,0.422],
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[0.182,0.339,0.471],
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[0.190,0.370,0.521],
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[0.197,0.400,0.572],
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[0.201,0.431,0.623],
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[0.204,0.461,0.675],
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[0.204,0.491,0.728],
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[0.202,0.520,0.783],
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[0.197,0.549,0.838],
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[0.187,0.577,0.895]]
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_2VarAddA1_data= [[0.000,0.000,0.000],
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[0.030,0.023,0.018],
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[0.079,0.060,0.043],
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[0.125,0.093,0.065],
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[0.170,0.123,0.083],
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[0.213,0.151,0.098],
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[0.255,0.177,0.110],
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[0.298,0.202,0.120],
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[0.341,0.226,0.128],
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[0.384,0.249,0.134],
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[0.427,0.271,0.138],
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[0.472,0.292,0.141],
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[0.517,0.313,0.142],
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[0.563,0.333,0.141],
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[0.610,0.353,0.139],
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[0.658,0.372,0.134],
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[0.708,0.390,0.127],
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[0.759,0.407,0.118],
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[0.813,0.423,0.105]]
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_2VarSubA0_data= [[1.000,1.000,1.000],
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[0.959,0.973,0.986],
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[0.916,0.948,0.974],
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[0.874,0.923,0.965],
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[0.832,0.899,0.956],
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[0.790,0.875,0.948],
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[0.748,0.852,0.940],
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[0.707,0.829,0.934],
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[0.665,0.806,0.927],
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[0.624,0.784,0.921],
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[0.583,0.762,0.916],
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[0.541,0.740,0.910],
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[0.500,0.718,0.905],
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[0.457,0.697,0.901],
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[0.414,0.675,0.896],
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[0.369,0.652,0.892],
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[0.320,0.629,0.888],
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[0.266,0.604,0.884],
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[0.199,0.574,0.881]]
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_2VarSubA1_data= [[1.000,1.000,1.000],
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[0.982,0.967,0.955],
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[0.966,0.935,0.908],
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[0.951,0.902,0.860],
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[0.937,0.870,0.813],
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[0.923,0.838,0.765],
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[0.910,0.807,0.718],
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[0.898,0.776,0.671],
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[0.886,0.745,0.624],
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[0.874,0.714,0.577],
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[0.862,0.683,0.530],
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[0.851,0.653,0.483],
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[0.841,0.622,0.435],
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[0.831,0.592,0.388],
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[0.822,0.561,0.340],
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[0.813,0.530,0.290],
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[0.806,0.498,0.239],
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[0.802,0.464,0.184],
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[0.801,0.426,0.119]]
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_3VarAddA0_data= [[0.000,0.000,0.000],
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[0.018,0.023,0.028],
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[0.040,0.056,0.071],
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[0.059,0.087,0.110],
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[0.074,0.114,0.147],
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[0.086,0.139,0.183],
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[0.095,0.163,0.219],
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[0.101,0.187,0.255],
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[0.105,0.209,0.290],
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[0.107,0.230,0.326],
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[0.105,0.251,0.362],
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[0.101,0.271,0.398],
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[0.091,0.291,0.434],
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[0.075,0.309,0.471],
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[0.046,0.325,0.507],
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[0.021,0.341,0.546],
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[0.021,0.363,0.584],
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[0.022,0.385,0.622],
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[0.023,0.408,0.661]]
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_3VarAddA1_data= [[0.000,0.000,0.000],
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[0.020,0.024,0.016],
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[0.047,0.058,0.034],
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[0.072,0.088,0.048],
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[0.093,0.116,0.059],
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[0.113,0.142,0.067],
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[0.131,0.167,0.071],
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[0.149,0.190,0.074],
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[0.166,0.213,0.074],
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[0.182,0.235,0.072],
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[0.198,0.256,0.068],
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[0.215,0.276,0.061],
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[0.232,0.296,0.051],
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[0.249,0.314,0.037],
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[0.270,0.330,0.018],
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[0.288,0.347,0.000],
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[0.302,0.369,0.000],
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[0.315,0.391,0.000],
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[0.328,0.414,0.000]]
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_3VarAddA2_data= [[0.000,0.000,0.000],
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[0.029,0.020,0.023],
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[0.072,0.045,0.055],
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[0.111,0.067,0.084],
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[0.148,0.085,0.109],
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[0.184,0.101,0.133],
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[0.219,0.115,0.155],
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[0.254,0.127,0.176],
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[0.289,0.138,0.195],
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[0.323,0.147,0.214],
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[0.358,0.155,0.232],
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[0.393,0.161,0.250],
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[0.429,0.166,0.267],
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[0.467,0.169,0.283],
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[0.507,0.168,0.298],
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[0.546,0.168,0.313],
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[0.580,0.172,0.328],
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[0.615,0.175,0.341],
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[0.649,0.178,0.355]]
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cmaps= {
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name:LinearSegmentedColormap.from_list(name,data,_LUTSIZE)forname,datain [
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('2VarAddA0',_2VarAddA0_data),
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('2VarAddA1',_2VarAddA1_data),
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('2VarSubA0',_2VarSubA0_data),
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('2VarSubA1',_2VarSubA1_data),
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('3VarAddA0',_3VarAddA0_data),
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('3VarAddA1',_3VarAddA1_data),
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('3VarAddA2',_3VarAddA2_data),
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]}
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cmap_families= {
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'2VarAddA':MultivarColormap([cmaps[f'2VarAddA{i}']foriinrange(2)],
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'sRGB_add',name='2VarAddA'),
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'2VarSubA':MultivarColormap([cmaps[f'2VarSubA{i}']foriinrange(2)],
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'sRGB_sub',name='2VarSubA'),
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'3VarAddA':MultivarColormap([cmaps[f'3VarAddA{i}']foriinrange(3)],
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'sRGB_add',name='3VarAddA'),
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}

‎lib/matplotlib/cm.py

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frommatplotlibimport_api,colors,cbook,scale
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frommatplotlib._cmimportdatad
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frommatplotlib._cm_listedimportcmapsascmaps_listed
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frommatplotlib._cm_multivarimportcmap_familiesasmultivar_cmaps
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frommatplotlib._cm_bivarimportcmapsasbivar_cmaps
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_LUTSIZE=mpl.rcParams['image.lut']
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_colormaps=ColormapRegistry(_gen_cmap_registry())
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globals().update(_colormaps)
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_multivar_colormaps=ColormapRegistry(multivar_cmaps)
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_bivar_colormaps=ColormapRegistry(bivar_cmaps)
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# This is an exact copy of pyplot.get_cmap(). It was removed in 3.9, but apparently
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# caused more user trouble than expected. Re-added for 3.9.1 and extended the

‎lib/matplotlib/cm.pyi

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@@ -18,6 +18,8 @@ class ColormapRegistry(Mapping[str, colors.Colormap]):
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defget_cmap(self,cmap:str|colors.Colormap)->colors.Colormap: ...
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_colormaps:ColormapRegistry= ...
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_multivar_colormaps:ColormapRegistry= ...
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_bivar_colormaps:ColormapRegistry= ...
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defget_cmap(name:str|colors.Colormap|None= ...,lut:int|None= ...)->colors.Colormap: ...
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