Mercurial > octave
view scripts/image/viridis.m @ 31248:8b75954a4670
delaunayn: adjust node ordering for positive outward normal vectors (bug #53397)
* delaunayn.m: Check sign of simplex volume, flip node order for negative
volumes to ensure positive (outward-pointing) normal vectors. Add BISTs to
check for positive volumes.
* etc/News.8.md: Append function improvement note to delaunayn change
paragraph under General Improvements.
author | Nicholas R. Jankowski <jankowski.nicholas@gmail.com> |
---|---|
date | Thu, 29 Sep 2022 23:09:05 -0400 |
parents | 796f54d4ddbf |
children | 597f3ee61a48 |
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######################################################################## ## ## Copyright (C) 2016-2022 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 unspecified, the length of the current colormap, or 64, 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)) error ("viridis: N must be a scalar"); endif n = double (n); else hf = get (0, "currentfigure"); if (! isempty (hf)) n = rows (get (hf, "colormap")); else n = 64; 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);