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| author | Torsten Lilge <ttl-octave@mailbox.org> |
|---|---|
| date | Sat, 04 May 2024 17:56:39 +0200 |
| parents | d8e5e55c3cf5 |
| children |
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######################################################################## ## ## Copyright (C) 2016-2024 The Octave Project Developers ## ## See the file COPYRIGHT.md in the top-level directory of this ## distribution or <https://octave.org/copyright/>. ## ## This file is part of Octave. ## ## Octave is free software: you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation, either version 3 of the License, or ## (at your option) any later version. ## ## Octave is distributed in the hope that it will be useful, but ## WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the ## GNU General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with Octave; see the file COPYING. If not, see ## <https://www.gnu.org/licenses/>. ## ######################################################################## ## -*- texinfo -*- ## @deftypefn {} {@var{map} =} viridis () ## @deftypefnx {} {@var{map} =} viridis (@var{n}) ## Create color colormap. This colormap ranges from dark purplish-blue through ## blue, green, to yellow. ## ## The argument @var{n} must be a scalar. ## If @var{n} is not specified the length of the current colormap is used. If ## there is no current colormap the default value of 256 is used. ## @seealso{colormap} ## @end deftypefn ## This is a port to Octave of the default matplotlib colormap "viridis" ## by Eric Firing. The original file is distributed under CC0: ## http://creativecommons.org/publicdomain/zero/1.0 function map = viridis (n) if (nargin == 1) if (! (isscalar (n) && isreal (n) && n == fix (n))) error ("viridis: N must be a scalar integer"); endif n = double (n); else hf = get (0, "currentfigure"); if (! isempty (hf)) n = rows (get (hf, "colormap")); else n = 256; endif endif ## FIXME: Is there no algorithmic definition of the viridis colormap? persistent viridi = [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 0.28322882 0.12077701 0.44058404 0.28318684 0.12584799 0.44496 0.283072 0.13089477 0.44924127 0.28288389 0.13592005 0.45342734 0.28262297 0.14092556 0.45751726 0.28229037 0.14591233 0.46150995 0.28188676 0.15088147 0.46540474 0.28141228 0.15583425 0.46920128 0.28086773 0.16077132 0.47289909 0.28025468 0.16569272 0.47649762 0.27957399 0.17059884 0.47999675 0.27882618 0.1754902 0.48339654 0.27801236 0.18036684 0.48669702 0.27713437 0.18522836 0.48989831 0.27619376 0.19007447 0.49300074 0.27519116 0.1949054 0.49600488 0.27412802 0.19972086 0.49891131 0.27300596 0.20452049 0.50172076 0.27182812 0.20930306 0.50443413 0.27059473 0.21406899 0.50705243 0.26930756 0.21881782 0.50957678 0.26796846 0.22354911 0.5120084 0.26657984 0.2282621 0.5143487 0.2651445 0.23295593 0.5165993 0.2636632 0.23763078 0.51876163 0.26213801 0.24228619 0.52083736 0.26057103 0.2469217 0.52282822 0.25896451 0.25153685 0.52473609 0.25732244 0.2561304 0.52656332 0.25564519 0.26070284 0.52831152 0.25393498 0.26525384 0.52998273 0.25219404 0.26978306 0.53157905 0.25042462 0.27429024 0.53310261 0.24862899 0.27877509 0.53455561 0.2468114 0.28323662 0.53594093 0.24497208 0.28767547 0.53726018 0.24311324 0.29209154 0.53851561 0.24123708 0.29648471 0.53970946 0.23934575 0.30085494 0.54084398 0.23744138 0.30520222 0.5419214 0.23552606 0.30952657 0.54294396 0.23360277 0.31382773 0.54391424 0.2316735 0.3181058 0.54483444 0.22973926 0.32236127 0.54570633 0.22780192 0.32659432 0.546532 0.2258633 0.33080515 0.54731353 0.22392515 0.334994 0.54805291 0.22198915 0.33916114 0.54875211 0.22005691 0.34330688 0.54941304 0.21812995 0.34743154 0.55003755 0.21620971 0.35153548 0.55062743 0.21429757 0.35561907 0.5511844 0.21239477 0.35968273 0.55171011 0.2105031 0.36372671 0.55220646 0.20862342 0.36775151 0.55267486 0.20675628 0.37175775 0.55311653 0.20490257 0.37574589 0.55353282 0.20306309 0.37971644 0.55392505 0.20123854 0.38366989 0.55429441 0.1994295 0.38760678 0.55464205 0.1976365 0.39152762 0.55496905 0.19585993 0.39543297 0.55527637 0.19410009 0.39932336 0.55556494 0.19235719 0.40319934 0.55583559 0.19063135 0.40706148 0.55608907 0.18892259 0.41091033 0.55632606 0.18723083 0.41474645 0.55654717 0.18555593 0.4185704 0.55675292 0.18389763 0.42238275 0.55694377 0.18225561 0.42618405 0.5571201 0.18062949 0.42997486 0.55728221 0.17901879 0.43375572 0.55743035 0.17742298 0.4375272 0.55756466 0.17584148 0.44128981 0.55768526 0.17427363 0.4450441 0.55779216 0.17271876 0.4487906 0.55788532 0.17117615 0.4525298 0.55796464 0.16964573 0.45626209 0.55803034 0.16812641 0.45998802 0.55808199 0.1666171 0.46370813 0.55811913 0.16511703 0.4674229 0.55814141 0.16362543 0.47113278 0.55814842 0.16214155 0.47483821 0.55813967 0.16066467 0.47853961 0.55811466 0.15919413 0.4822374 0.5580728 0.15772933 0.48593197 0.55801347 0.15626973 0.4896237 0.557936 0.15481488 0.49331293 0.55783967 0.15336445 0.49700003 0.55772371 0.1519182 0.50068529 0.55758733 0.15047605 0.50436904 0.55742968 0.14903918 0.50805136 0.5572505 0.14760731 0.51173263 0.55704861 0.14618026 0.51541316 0.55682271 0.14475863 0.51909319 0.55657181 0.14334327 0.52277292 0.55629491 0.14193527 0.52645254 0.55599097 0.14053599 0.53013219 0.55565893 0.13914708 0.53381201 0.55529773 0.13777048 0.53749213 0.55490625 0.1364085 0.54117264 0.55448339 0.13506561 0.54485335 0.55402906 0.13374299 0.54853458 0.55354108 0.13244401 0.55221637 0.55301828 0.13117249 0.55589872 0.55245948 0.1299327 0.55958162 0.55186354 0.12872938 0.56326503 0.55122927 0.12756771 0.56694891 0.55055551 0.12645338 0.57063316 0.5498411 0.12539383 0.57431754 0.54908564 0.12439474 0.57800205 0.5482874 0.12346281 0.58168661 0.54744498 0.12260562 0.58537105 0.54655722 0.12183122 0.58905521 0.54562298 0.12114807 0.59273889 0.54464114 0.12056501 0.59642187 0.54361058 0.12009154 0.60010387 0.54253043 0.11973756 0.60378459 0.54139999 0.11951163 0.60746388 0.54021751 0.11942341 0.61114146 0.53898192 0.11948255 0.61481702 0.53769219 0.11969858 0.61849025 0.53634733 0.12008079 0.62216081 0.53494633 0.12063824 0.62582833 0.53348834 0.12137972 0.62949242 0.53197275 0.12231244 0.63315277 0.53039808 0.12344358 0.63680899 0.52876343 0.12477953 0.64046069 0.52706792 0.12632581 0.64410744 0.52531069 0.12808703 0.64774881 0.52349092 0.13006688 0.65138436 0.52160791 0.13226797 0.65501363 0.51966086 0.13469183 0.65863619 0.5176488 0.13733921 0.66225157 0.51557101 0.14020991 0.66585927 0.5134268 0.14330291 0.66945881 0.51121549 0.1466164 0.67304968 0.50893644 0.15014782 0.67663139 0.5065889 0.15389405 0.68020343 0.50417217 0.15785146 0.68376525 0.50168574 0.16201598 0.68731632 0.49912906 0.1663832 0.69085611 0.49650163 0.1709484 0.69438405 0.49380294 0.17570671 0.6978996 0.49103252 0.18065314 0.70140222 0.48818938 0.18578266 0.70489133 0.48527326 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 0.2263969 0.72888753 0.46278934 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 0.34407411 0.78002855 0.39738103 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 ]; p = rows (viridi); map = interp1 (1:p, viridi, linspace (1, p, n), "linear"); endfunction ## A better demo of this colormap would be to plot the CIECAM02 values. %!demo %! ## Show the 'viridis' colormap profile and as an image %! cmap = viridis (256); %! subplot (2, 1, 1); %! rgbplot (cmap, "composite"); %! subplot (2, 1, 2); %! rgbplot (cmap); %!assert (size (viridis ()), [256, 3]) %!assert (size (viridis (16)), [16, 3]) %!assert (viridis (0), zeros (0, 3)) %!assert (viridis (-1), zeros (0, 3)) %!shared a %! a = [0.26700401, 0.00487433, 0.32941519; %! 0.19063135, 0.40706148, 0.55608907; %! 0.20803045, 0.71870095, 0.47287330; %! 0.99324789, 0.90615657, 0.14393620]; %!assert (viridis (1), a(4,:)) %!assert (viridis (true), double (a(4,:))) %!assert (viridis (char (1)), double (a(4,:))) %!assert (viridis (int32 (1)), double (a(4,:))) %!assert (viridis (4), a, eps) %!shared # Clear shared varibles to avoid echo on unrelated test errors. ## Input validation %!error <N must be a scalar integer> viridis ("foo") %!error <N must be a scalar integer> viridis ([1, 2, 3]) %!error <N must be a scalar integer> viridis ({1, 2, 3})