On Fri, Jun 5, 2015 at 11:15 AM, Joe Kington <joferking...@gmail.com> wrote:
> Hopefully I will have some time today to play around with the D option. I
>> want to see if I can shift the curve a bit to include more yellows and
>> orange so that it can have a mix of cool and warm colors.
>>
>>
>>
> I was thinking the same thing earlier. Here's my attempt:
>
Not to jump back on topics too much, but I forgot to attach the colormap to
my earlier e-mail. Here it is.
from matplotlib.colors import LinearSegmentedColormap
from numpy import nan, inf
# Used to reconstruct the colormap in pycam02ucs.cm.viscm
parameters = {'xp': [-6.1859603226509137, -14.579245694353546, -16.377806845432701, -75.430564639197684, 40.576629605406652, 14.197732722912633],
'yp': [-38.399280575539549, 5.6654676258992822, 11.061151079136692, 51.229016786570725, 35.641486810551555, -4.8261390887290077],
'min_JK': 27.8125,
'max_JK': 87.2916666667}
cm_data = [[ 0.08488181, 0.18308161, 0.67262216],
[ 0.08312345, 0.19202711, 0.66090297],
[ 0.08217997, 0.20014429, 0.64976469],
[ 0.08198433, 0.2075936 , 0.63911277],
[ 0.08247594, 0.21447696, 0.62891889],
[ 0.08359003, 0.2208603 , 0.61920504],
[ 0.08524777, 0.2268386 , 0.60985788],
[ 0.08738166, 0.23244191, 0.60093206],
[ 0.08992038, 0.2377215 , 0.59238917],
[ 0.09280155, 0.24272587, 0.58416923],
[ 0.09596381, 0.24747257, 0.57631143],
[ 0.0993575 , 0.251998 , 0.56876406],
[ 0.10293853, 0.25632645, 0.56150762],
[ 0.10666336, 0.2604716 , 0.55456023],
[ 0.1105036 , 0.26445857, 0.54787429],
[ 0.11443019, 0.26830128, 0.54144512],
[ 0.11841518, 0.27200976, 0.53528253],
[ 0.12244369, 0.27560103, 0.5293494 ],
[ 0.12649882, 0.27908535, 0.52363821],
[ 0.13056226, 0.28246931, 0.51815934],
[ 0.13462547, 0.28576389, 0.51289008],
[ 0.13868224, 0.28897881, 0.50780839],
[ 0.14271871, 0.2921176 , 0.50293114],
[ 0.14672864, 0.29518709, 0.49824894],
[ 0.15071345, 0.29819656, 0.4937278 ],
[ 0.1546626 , 0.30114819, 0.48938498],
[ 0.15857184, 0.30404672, 0.48521597],
[ 0.16243974, 0.30689736, 0.48120845],
[ 0.16626692, 0.3097055 , 0.47734461],
[ 0.17004651, 0.31247292, 0.47363702],
[ 0.17377693, 0.31520325, 0.47007969],
[ 0.1774579 , 0.31790023, 0.46666296],
[ 0.18109034, 0.32056767, 0.46337356],
[ 0.18466948, 0.32320706, 0.46022069],
[ 0.18819439, 0.3258211 , 0.4571996 ],
[ 0.19166421, 0.32841234, 0.45430585],
[ 0.19508052, 0.33098399, 0.4515254 ],
[ 0.19844012, 0.33353749, 0.44886326],
[ 0.20174153, 0.33607477, 0.44631801],
[ 0.20498379, 0.3385979 , 0.44388601],
[ 0.20816589, 0.3411088 , 0.44156374],
[ 0.21128813, 0.34360991, 0.43934139],
[ 0.21434794, 0.34610257, 0.43722134],
[ 0.21734359, 0.34858841, 0.43520227],
[ 0.22027364, 0.35106916, 0.433281 ],
[ 0.22313653, 0.35354653, 0.43145439],
[ 0.22593054, 0.3560222 , 0.42971931],
[ 0.22865443, 0.35849817, 0.42806853],
[ 0.23130553, 0.36097577, 0.42650261],
[ 0.23388157, 0.36345656, 0.42501923],
[ 0.23638033, 0.36594216, 0.42361498],
[ 0.23879948, 0.36843418, 0.42228628],
[ 0.24113658, 0.37093422, 0.42102943],
[ 0.24338915, 0.37344386, 0.41984053],
[ 0.24555463, 0.37596471, 0.41871526],
[ 0.2476304 , 0.37849855, 0.41764727],
[ 0.24961385, 0.3810466 , 0.41663458],
[ 0.25150254, 0.38361032, 0.41567235],
[ 0.25329409, 0.38619113, 0.41475548],
[ 0.25498629, 0.38879034, 0.41387864],
[ 0.25657711, 0.39140923, 0.41303625],
[ 0.25806477, 0.39404893, 0.41222253],
[ 0.25944772, 0.3967105 , 0.41143149],
[ 0.26072475, 0.39939485, 0.41065702],
[ 0.26189499, 0.40210277, 0.40989287],
[ 0.26295789, 0.4048349 , 0.40913271],
[ 0.26391332, 0.40759175, 0.40837023],
[ 0.2647615 , 0.41037366, 0.40759912],
[ 0.26550293, 0.41318086, 0.40681296],
[ 0.2661385 , 0.41601343, 0.40600552],
[ 0.26666972, 0.41887118, 0.40517133],
[ 0.26709825, 0.42175387, 0.40430471],
[ 0.26742604, 0.42466112, 0.40340023],
[ 0.26765527, 0.42759246, 0.40245273],
[ 0.26778838, 0.43054729, 0.40145736],
[ 0.26782797, 0.43352494, 0.40040961],
[ 0.2677768 , 0.43652465, 0.39930525],
[ 0.26763777, 0.4395456 , 0.3981404 ],
[ 0.26741386, 0.44258692, 0.39691145],
[ 0.26710811, 0.4456477 , 0.39561511],
[ 0.26672365, 0.448727 , 0.39424836],
[ 0.26626363, 0.45182384, 0.39280844],
[ 0.26573088, 0.45493737, 0.39129233],
[ 0.26512858, 0.4580666 , 0.38969761],
[ 0.26446024, 0.46121045, 0.38802247],
[ 0.26372917, 0.46436794, 0.38626487],
[ 0.26293876, 0.46753805, 0.38442293],
[ 0.26209248, 0.47071979, 0.38249482],
[ 0.26119391, 0.47391216, 0.38047885],
[ 0.26024678, 0.47711415, 0.37837332],
[ 0.25925503, 0.48032474, 0.37617663],
[ 0.25822279, 0.48354291, 0.37388717],
[ 0.25715449, 0.48676763, 0.37150332],
[ 0.25605486, 0.48999782, 0.3690235 ],
[ 0.25492731, 0.4932329 , 0.36644367],
[ 0.2537774 , 0.49647174, 0.36376208],
[ 0.25261249, 0.49971279, 0.36097881],
[ 0.25143921, 0.50295487, 0.35809205],
[ 0.25026483, 0.50619673, 0.35509995],
[ 0.24909736, 0.50943704, 0.35200056],
[ 0.24794283, 0.51267518, 0.34878753],
[ 0.24681094, 0.5159097 , 0.3454584 ],
[ 0.24571493, 0.51913835, 0.34201468],
[ 0.24466674, 0.52235947, 0.33845417],
[ 0.24367796, 0.52557168, 0.33477178],
[ 0.24275902, 0.52877417, 0.33095718],
[ 0.24193144, 0.53196339, 0.32701729],
[ 0.24121292, 0.53513707, 0.32294975],
[ 0.24061591, 0.53829468, 0.31873685],
[ 0.24016739, 0.54143201, 0.3143868 ],
[ 0.23989167, 0.54454583, 0.3098995 ],
[ 0.23980621, 0.54763531, 0.3052503 ],
[ 0.23994718, 0.55069438, 0.30045852],
[ 0.24033897, 0.55372091, 0.29550373],
[ 0.24101659, 0.5567097 , 0.29039154],
[ 0.242013 , 0.55965658, 0.28511189],
[ 0.24336597, 0.56255578, 0.27966796],
[ 0.24511307, 0.56540212, 0.27404701],
[ 0.24729554, 0.56818809, 0.26826528],
[ 0.24995455, 0.57090763, 0.26229943],
[ 0.25313183, 0.57355191, 0.25617055],
[ 0.25686732, 0.57611234, 0.24988551],
[ 0.26120079, 0.57857967, 0.24344791],
[ 0.26616801, 0.58094374, 0.23687306],
[ 0.27179453, 0.58319423, 0.23019404],
[ 0.27809821, 0.58532092, 0.22344485],
[ 0.28508368, 0.5873143 , 0.21667129],
[ 0.29273881, 0.58916631, 0.20993178],
[ 0.3010319 , 0.5908713 , 0.20329682],
[ 0.30991056, 0.5924269 , 0.19684672],
[ 0.31930301, 0.59383467, 0.19066735],
[ 0.32912207, 0.5951003 , 0.18484441],
[ 0.33927145, 0.59623329, 0.17945707],
[ 0.34965323, 0.59724611, 0.17457225],
[ 0.36017498, 0.59815298, 0.17024054],
[ 0.37075539, 0.59896866, 0.16649448],
[ 0.38132758, 0.59970726, 0.16334908],
[ 0.39183913, 0.60038173, 0.1608045 ],
[ 0.40223125, 0.60100791, 0.15885843],
[ 0.41249475, 0.60159175, 0.15747918],
[ 0.42261595, 0.60214034, 0.15663827],
[ 0.43255125, 0.60266853, 0.15631551],
[ 0.44232961, 0.60317358, 0.15646484],
[ 0.45192221, 0.60366715, 0.15705899],
[ 0.46135476, 0.60414659, 0.15805779],
[ 0.47059963, 0.60462352, 0.1594324 ],
[ 0.47969294, 0.60509169, 0.16114641],
[ 0.48861904, 0.60555917, 0.16317152],
[ 0.49738619, 0.60602708, 0.16547858],
[ 0.5060124 , 0.60649316, 0.16804181],
[ 0.51450148, 0.60695916, 0.17083789],
[ 0.52283993, 0.60743236, 0.17384267],
[ 0.53105197, 0.60790769, 0.17703821],
[ 0.53914308, 0.60838578, 0.18040711],
[ 0.54711786, 0.60886742, 0.18393356],
[ 0.55498092, 0.60935321, 0.18760336],
[ 0.5627368 , 0.60984364, 0.19140384],
[ 0.57038905, 0.61033941, 0.19532343],
[ 0.57793913, 0.61084192, 0.19935102],
[ 0.58539646, 0.61134942, 0.20347965],
[ 0.59276492, 0.61186207, 0.20770171],
[ 0.6000482 , 0.61237999, 0.21201055],
[ 0.60724981, 0.61290327, 0.2164004 ],
[ 0.61437307, 0.61343197, 0.22086628],
[ 0.62142114, 0.61396611, 0.22540392],
[ 0.62839694, 0.61450572, 0.23000966],
[ 0.63530325, 0.61505081, 0.23468046],
[ 0.64214263, 0.61560141, 0.23941375],
[ 0.64891741, 0.61615756, 0.24420741],
[ 0.65562676, 0.61672066, 0.24905779],
[ 0.66227569, 0.61728944, 0.25396539],
[ 0.66886611, 0.61786396, 0.2589293 ],
[ 0.67539975, 0.61844427, 0.2639489 ],
[ 0.68187814, 0.61903047, 0.26902384],
[ 0.68830265, 0.61962269, 0.27415403],
[ 0.69467448, 0.62022108, 0.27933959],
[ 0.70099464, 0.62082585, 0.28458084],
[ 0.70726401, 0.62143724, 0.28987828],
[ 0.71348256, 0.62205592, 0.29523192],
[ 0.71964871, 0.6226833 , 0.30064055],
[ 0.7257661 , 0.62331815, 0.30610795],
[ 0.73183497, 0.62396086, 0.3116352 ],
[ 0.7378554 , 0.62461192, 0.31722351],
[ 0.74382734, 0.62527185, 0.32287414],
[ 0.74975057, 0.62594124, 0.32858846],
[ 0.75562355, 0.62662141, 0.33436653],
[ 0.76144581, 0.62731307, 0.34020972],
[ 0.76721835, 0.62801608, 0.34612142],
[ 0.77294038, 0.62873127, 0.35210319],
[ 0.77861095, 0.62945956, 0.35815664],
[ 0.78422899, 0.63020192, 0.36428337],
[ 0.78979252, 0.63095987, 0.37048392],
[ 0.79530062, 0.63173429, 0.37676038],
[ 0.80075261, 0.63252589, 0.38311548],
[ 0.80614684, 0.63333595, 0.3895508 ],
[ 0.81148155, 0.63416582, 0.39606787],
[ 0.81675483, 0.63501695, 0.40266817],
[ 0.82196435, 0.63589105, 0.40935253],
[ 0.8271086 , 0.6367893 , 0.41612348],
[ 0.83218532, 0.63771334, 0.42298234],
[ 0.83719205, 0.63866495, 0.42993032],
[ 0.84212626, 0.63964598, 0.43696849],
[ 0.84698539, 0.64065826, 0.44409811],
[ 0.85176681, 0.64170366, 0.45132049],
[ 0.85646749, 0.64278436, 0.45863614],
[ 0.86108437, 0.64390252, 0.46604562],
[ 0.86561427, 0.64506041, 0.47354929],
[ 0.87005391, 0.64626036, 0.48114736],
[ 0.87440033, 0.6475044 , 0.48884145],
[ 0.8786496 , 0.64879536, 0.49663003],
[ 0.88279806, 0.65013581, 0.50451251],
[ 0.886842 , 0.6515284 , 0.51248812],
[ 0.8907776 , 0.65297579, 0.52055578],
[ 0.89460109, 0.65448064, 0.52871468],
[ 0.89830854, 0.65604567, 0.53696351],
[ 0.90189577, 0.65767392, 0.54529885],
[ 0.90535877, 0.65936821, 0.5537181 ],
[ 0.90869358, 0.66113137, 0.56221825],
[ 0.91189625, 0.66296617, 0.57079586],
[ 0.91496291, 0.6648754 , 0.57944686],
[ 0.91788981, 0.66686181, 0.5881658 ],
[ 0.92067342, 0.66892797, 0.59694738],
[ 0.92331042, 0.67107632, 0.60578593],
[ 0.92579776, 0.67330909, 0.6146753 ],
[ 0.92813267, 0.67562834, 0.62360891],
[ 0.93031328, 0.678036 , 0.63257538],
[ 0.93233787, 0.68053348, 0.64156724],
[ 0.93420501, 0.68312189, 0.65057749],
[ 0.93591386, 0.68580207, 0.65959765],
[ 0.93746411, 0.6885745 , 0.66861913],
[ 0.93885727, 0.69143911, 0.67762793],
[ 0.94009655, 0.69439504, 0.686608 ],
[ 0.94118182, 0.69744174, 0.69555831],
[ 0.94211522, 0.70057808, 0.70447036],
[ 0.94289928, 0.70380263, 0.71333615],
[ 0.94354455, 0.70711146, 0.72212851],
[ 0.94405369, 0.71050244, 0.73084569],
[ 0.9444278 , 0.71397394, 0.73948938],
[ 0.94467085, 0.7175234 , 0.74805426],
[ 0.94480169, 0.72114324, 0.75650653],
[ 0.94482174, 0.72483132, 0.76485204],
[ 0.94472934, 0.72858669, 0.77310077],
[ 0.94453501, 0.73240424, 0.78124012],
[ 0.94426678, 0.73627241, 0.78923231],
[ 0.9439052 , 0.74019659, 0.79711843],
[ 0.9434584 , 0.74417245, 0.80489253],
[ 0.94297022, 0.74818241, 0.81250113],
[ 0.94240599, 0.75223783, 0.82000299],
[ 0.94178596, 0.75632991, 0.82737865],
[ 0.94114205, 0.76044536, 0.83459832],
[ 0.94043604, 0.76459737, 0.84171794],
[ 0.93972281, 0.76876404, 0.84868276],
[ 0.93897849, 0.77295334, 0.85553024],
[ 0.93820719, 0.77716269, 0.86226445],
[ 0.93745099, 0.78137511, 0.86885223],
[ 0.93665014, 0.7856125 , 0.87536218]]
test_cm = LinearSegmentedColormap.from_list(__file__, cm_data)
if __name__ == "__main__":
import matplotlib.pyplot as plt
import numpy as np
try:
from pycam02ucs.cm.viscm import viscm
viscm(test_cm)
except ImportError:
print("pycam02ucs not found, falling back on simple display")
plt.imshow(np.linspace(0, 100, 256)[None, :], aspect='auto',
cmap=test_cm)
plt.show()
------------------------------------------------------------------------------
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