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jasongrout/viridis.py

Last active August 29, 2015 14:24
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Viridis
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viridis.py
cm_data = [[ 0.26700401, 0.00487433, 0.32941519],
[ 0.26851048, 0.00960483, 0.33542652],
[ 0.26994384, 0.01462494, 0.34137895],
[ 0.27130489, 0.01994186, 0.34726862],
[ 0.27259384, 0.02556309, 0.35309303],
[ 0.27380934, 0.03149748, 0.35885256],
[ 0.27495242, 0.03775181, 0.36454323],
[ 0.27602238, 0.04416723, 0.37016418],
[ 0.2770184 , 0.05034437, 0.37571452],
[ 0.27794143, 0.05632444, 0.38119074],
[ 0.27879067, 0.06214536, 0.38659204],
[ 0.2795655 , 0.06783587, 0.39191723],
[ 0.28026658, 0.07341724, 0.39716349],
[ 0.28089358, 0.07890703, 0.40232944],
[ 0.28144581, 0.0843197 , 0.40741404],
[ 0.28192358, 0.08966622, 0.41241521],
[ 0.28232739, 0.09495545, 0.41733086],
[ 0.28265633, 0.10019576, 0.42216032],
[ 0.28291049, 0.10539345, 0.42690202],
[ 0.28309095, 0.11055307, 0.43155375],
[ 0.28319704, 0.11567966, 0.43611482],
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[ 0.283072 , 0.13089477, 0.44924127],
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[ 0.28141228, 0.15583425, 0.46920128],
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[ 0.1299327 , 0.55958162, 0.55186354],
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[ 0.12114807, 0.59273889, 0.54464114],
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[ 0.11969858, 0.61849025, 0.53634733],
[ 0.12008079, 0.62216081, 0.53494633],
[ 0.12063824, 0.62582833, 0.53348834],
[ 0.12137972, 0.62949242, 0.53197275],
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[ 0.15389405, 0.68020343, 0.50417217],
[ 0.15785146, 0.68376525, 0.50168574],
[ 0.16201598, 0.68731632, 0.49912906],
[ 0.1663832 , 0.69085611, 0.49650163],
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[ 0.19109018, 0.70836635, 0.48228395],
[ 0.19657063, 0.71182668, 0.47922108],
[ 0.20221902, 0.71527175, 0.47608431],
[ 0.20803045, 0.71870095, 0.4728733 ],
[ 0.21400015, 0.72211371, 0.46958774],
[ 0.22012381, 0.72550945, 0.46622638],
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[ 0.23281498, 0.73224735, 0.45927675],
[ 0.2393739 , 0.73558828, 0.45568838],
[ 0.24606968, 0.73890972, 0.45202405],
[ 0.25289851, 0.74221104, 0.44828355],
[ 0.25985676, 0.74549162, 0.44446673],
[ 0.26694127, 0.74875084, 0.44057284],
[ 0.27414922, 0.75198807, 0.4366009 ],
[ 0.28147681, 0.75520266, 0.43255207],
[ 0.28892102, 0.75839399, 0.42842626],
[ 0.29647899, 0.76156142, 0.42422341],
[ 0.30414796, 0.76470433, 0.41994346],
[ 0.31192534, 0.76782207, 0.41558638],
[ 0.3198086 , 0.77091403, 0.41115215],
[ 0.3277958 , 0.77397953, 0.40664011],
[ 0.33588539, 0.7770179 , 0.40204917],
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[ 0.35235985, 0.78301086, 0.39263579],
[ 0.36074053, 0.78596419, 0.38781353],
[ 0.3692142 , 0.78888793, 0.38291438],
[ 0.37777892, 0.79178146, 0.3779385 ],
[ 0.38643282, 0.79464415, 0.37288606],
[ 0.39517408, 0.79747541, 0.36775726],
[ 0.40400101, 0.80027461, 0.36255223],
[ 0.4129135 , 0.80304099, 0.35726893],
[ 0.42190813, 0.80577412, 0.35191009],
[ 0.43098317, 0.80847343, 0.34647607],
[ 0.44013691, 0.81113836, 0.3409673 ],
[ 0.44936763, 0.81376835, 0.33538426],
[ 0.45867362, 0.81636288, 0.32972749],
[ 0.46805314, 0.81892143, 0.32399761],
[ 0.47750446, 0.82144351, 0.31819529],
[ 0.4870258 , 0.82392862, 0.31232133],
[ 0.49661536, 0.82637633, 0.30637661],
[ 0.5062713 , 0.82878621, 0.30036211],
[ 0.51599182, 0.83115784, 0.29427888],
[ 0.52577622, 0.83349064, 0.2881265 ],
[ 0.5356211 , 0.83578452, 0.28190832],
[ 0.5455244 , 0.83803918, 0.27562602],
[ 0.55548397, 0.84025437, 0.26928147],
[ 0.5654976 , 0.8424299 , 0.26287683],
[ 0.57556297, 0.84456561, 0.25641457],
[ 0.58567772, 0.84666139, 0.24989748],
[ 0.59583934, 0.84871722, 0.24332878],
[ 0.60604528, 0.8507331 , 0.23671214],
[ 0.61629283, 0.85270912, 0.23005179],
[ 0.62657923, 0.85464543, 0.22335258],
[ 0.63690157, 0.85654226, 0.21662012],
[ 0.64725685, 0.85839991, 0.20986086],
[ 0.65764197, 0.86021878, 0.20308229],
[ 0.66805369, 0.86199932, 0.19629307],
[ 0.67848868, 0.86374211, 0.18950326],
[ 0.68894351, 0.86544779, 0.18272455],
[ 0.69941463, 0.86711711, 0.17597055],
[ 0.70989842, 0.86875092, 0.16925712],
[ 0.72039115, 0.87035015, 0.16260273],
[ 0.73088902, 0.87191584, 0.15602894],
[ 0.74138803, 0.87344918, 0.14956101],
[ 0.75188414, 0.87495143, 0.14322828],
[ 0.76237342, 0.87642392, 0.13706449],
[ 0.77285183, 0.87786808, 0.13110864],
[ 0.78331535, 0.87928545, 0.12540538],
[ 0.79375994, 0.88067763, 0.12000532],
[ 0.80418159, 0.88204632, 0.11496505],
[ 0.81457634, 0.88339329, 0.11034678],
[ 0.82494028, 0.88472036, 0.10621724],
[ 0.83526959, 0.88602943, 0.1026459 ],
[ 0.84556056, 0.88732243, 0.09970219],
[ 0.8558096 , 0.88860134, 0.09745186],
[ 0.86601325, 0.88986815, 0.09595277],
[ 0.87616824, 0.89112487, 0.09525046],
[ 0.88627146, 0.89237353, 0.09537439],
[ 0.89632002, 0.89361614, 0.09633538],
[ 0.90631121, 0.89485467, 0.09812496],
[ 0.91624212, 0.89609127, 0.1007168 ],
[ 0.92610579, 0.89732977, 0.10407067],
[ 0.93590444, 0.8985704 , 0.10813094],
[ 0.94563626, 0.899815 , 0.11283773],
[ 0.95529972, 0.90106534, 0.11812832],
[ 0.96489353, 0.90232311, 0.12394051],
[ 0.97441665, 0.90358991, 0.13021494],
[ 0.98386829, 0.90486726, 0.13689671],
[ 0.99324789, 0.90615657, 0.1439362 ]]
from matplotlib.colors import LinearSegmentedColormap
viridis = LinearSegmentedColormap.from_list('viridis', cm_data)
viridis_r = LinearSegmentedColormap.from_list('viridis', cm_data[::-1])
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