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Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,270 @@ // Turbo colormap by Anton Mikhailov // Paper: https://blog.research.google/2019/08/turbo-improved-rainbow-colormap-for.html // Based on https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f function cmap = turbocolormap(n) turbo_colormap_data = [ 0.18995 0.07176 0.23217 0.19483 0.08339 0.26149 0.19956 0.09498 0.29024 0.20415 0.10652 0.31844 0.20860 0.11802 0.34607 0.21291 0.12947 0.37314 0.21708 0.14087 0.39964 0.22111 0.15223 0.42558 0.22500 0.16354 0.45096 0.22875 0.17481 0.47578 0.23236 0.18603 0.50004 0.23582 0.19720 0.52373 0.23915 0.20833 0.54686 0.24234 0.21941 0.56942 0.24539 0.23044 0.59142 0.24830 0.24143 0.61286 0.25107 0.25237 0.63374 0.25369 0.26327 0.65406 0.25618 0.27412 0.67381 0.25853 0.28492 0.69300 0.26074 0.29568 0.71162 0.26280 0.30639 0.72968 0.26473 0.31706 0.74718 0.26652 0.32768 0.76412 0.26816 0.33825 0.78050 0.26967 0.34878 0.79631 0.27103 0.35926 0.81156 0.27226 0.36970 0.82624 0.27334 0.38008 0.84037 0.27429 0.39043 0.85393 0.27509 0.40072 0.86692 0.27576 0.41097 0.87936 0.27628 0.42118 0.89123 0.27667 0.43134 0.90254 0.27691 0.44145 0.91328 0.27701 0.45152 0.92347 0.27698 0.46153 0.93309 0.27680 0.47151 0.94214 0.27648 0.48144 0.95064 0.27603 0.49132 0.95857 0.27543 0.50115 0.96594 0.27469 0.51094 0.97275 0.27381 0.52069 0.97899 0.27273 0.53040 0.98461 0.27106 0.54015 0.98930 0.26878 0.54995 0.99303 0.26592 0.55979 0.99583 0.26252 0.56967 0.99773 0.25862 0.57958 0.99876 0.25425 0.58950 0.99896 0.24946 0.59943 0.99835 0.24427 0.60937 0.99697 0.23874 0.61931 0.99485 0.23288 0.62923 0.99202 0.22676 0.63913 0.98851 0.22039 0.64901 0.98436 0.21382 0.65886 0.97959 0.20708 0.66866 0.97423 0.20021 0.67842 0.96833 0.19326 0.68812 0.96190 0.18625 0.69775 0.95498 0.17923 0.70732 0.94761 0.17223 0.71680 0.93981 0.16529 0.72620 0.93161 0.15844 0.73551 0.92305 0.15173 0.74472 0.91416 0.14519 0.75381 0.90496 0.13886 0.76279 0.89550 0.13278 0.77165 0.88580 0.12698 0.78037 0.87590 0.12151 0.78896 0.86581 0.11639 0.79740 0.85559 0.11167 0.80569 0.84525 0.10738 0.81381 0.83484 0.10357 0.82177 0.82437 0.10026 0.82955 0.81389 0.09750 0.83714 0.80342 0.09532 0.84455 0.79299 0.09377 0.85175 0.78264 0.09287 0.85875 0.77240 0.09267 0.86554 0.76230 0.09320 0.87211 0.75237 0.09451 0.87844 0.74265 0.09662 0.88454 0.73316 0.09958 0.89040 0.72393 0.10342 0.89600 0.71500 0.10815 0.90142 0.70599 0.11374 0.90673 0.69651 0.12014 0.91193 0.68660 0.12733 0.91701 0.67627 0.13526 0.92197 0.66556 0.14391 0.92680 0.65448 0.15323 0.93151 0.64308 0.16319 0.93609 0.63137 0.17377 0.94053 0.61938 0.18491 0.94484 0.60713 0.19659 0.94901 0.59466 0.20877 0.95304 0.58199 0.22142 0.95692 0.56914 0.23449 0.96065 0.55614 0.24797 0.96423 0.54303 0.26180 0.96765 0.52981 0.27597 0.97092 0.51653 0.29042 0.97403 0.50321 0.30513 0.97697 0.48987 0.32006 0.97974 0.47654 0.33517 0.98234 0.46325 0.35043 0.98477 0.45002 0.36581 0.98702 0.43688 0.38127 0.98909 0.42386 0.39678 0.99098 0.41098 0.41229 0.99268 0.39826 0.42778 0.99419 0.38575 0.44321 0.99551 0.37345 0.45854 0.99663 0.36140 0.47375 0.99755 0.34963 0.48879 0.99828 0.33816 0.50362 0.99879 0.32701 0.51822 0.99910 0.31622 0.53255 0.99919 0.30581 0.54658 0.99907 0.29581 0.56026 0.99873 0.28623 0.57357 0.99817 0.27712 0.58646 0.99739 0.26849 0.59891 0.99638 0.26038 0.61088 0.99514 0.25280 0.62233 0.99366 0.24579 0.63323 0.99195 0.23937 0.64362 0.98999 0.23356 0.65394 0.98775 0.22835 0.66428 0.98524 0.22370 0.67462 0.98246 0.21960 0.68494 0.97941 0.21602 0.69525 0.97610 0.21294 0.70553 0.97255 0.21032 0.71577 0.96875 0.20815 0.72596 0.96470 0.20640 0.73610 0.96043 0.20504 0.74617 0.95593 0.20406 0.75617 0.95121 0.20343 0.76608 0.94627 0.20311 0.77591 0.94113 0.20310 0.78563 0.93579 0.20336 0.79524 0.93025 0.20386 0.80473 0.92452 0.20459 0.81410 0.91861 0.20552 0.82333 0.91253 0.20663 0.83241 0.90627 0.20788 0.84133 0.89986 0.20926 0.85010 0.89328 0.21074 0.85868 0.88655 0.21230 0.86709 0.87968 0.21391 0.87530 0.87267 0.21555 0.88331 0.86553 0.21719 0.89112 0.85826 0.21880 0.89870 0.85087 0.22038 0.90605 0.84337 0.22188 0.91317 0.83576 0.22328 0.92004 0.82806 0.22456 0.92666 0.82025 0.22570 0.93301 0.81236 0.22667 0.93909 0.80439 0.22744 0.94489 0.79634 0.22800 0.95039 0.78823 0.22831 0.95560 0.78005 0.22836 0.96049 0.77181 0.22811 0.96507 0.76352 0.22754 0.96931 0.75519 0.22663 0.97323 0.74682 0.22536 0.97679 0.73842 0.22369 0.98000 0.73000 0.22161 0.98289 0.72140 0.21918 0.98549 0.71250 0.21650 0.98781 0.70330 0.21358 0.98986 0.69382 0.21043 0.99163 0.68408 0.20706 0.99314 0.67408 0.20348 0.99438 0.66386 0.19971 0.99535 0.65341 0.19577 0.99607 0.64277 0.19165 0.99654 0.63193 0.18738 0.99675 0.62093 0.18297 0.99672 0.60977 0.17842 0.99644 0.59846 0.17376 0.99593 0.58703 0.16899 0.99517 0.57549 0.16412 0.99419 0.56386 0.15918 0.99297 0.55214 0.15417 0.99153 0.54036 0.14910 0.98987 0.52854 0.14398 0.98799 0.51667 0.13883 0.98590 0.50479 0.13367 0.98360 0.49291 0.12849 0.98108 0.48104 0.12332 0.97837 0.46920 0.11817 0.97545 0.45740 0.11305 0.97234 0.44565 0.10797 0.96904 0.43399 0.10294 0.96555 0.42241 0.09798 0.96187 0.41093 0.09310 0.95801 0.39958 0.08831 0.95398 0.38836 0.08362 0.94977 0.37729 0.07905 0.94538 0.36638 0.07461 0.94084 0.35566 0.07031 0.93612 0.34513 0.06616 0.93125 0.33482 0.06218 0.92623 0.32473 0.05837 0.92105 0.31489 0.05475 0.91572 0.30530 0.05134 0.91024 0.29599 0.04814 0.90463 0.28696 0.04516 0.89888 0.27824 0.04243 0.89298 0.26981 0.03993 0.88691 0.26152 0.03753 0.88066 0.25334 0.03521 0.87422 0.24526 0.03297 0.86760 0.23730 0.03082 0.86079 0.22945 0.02875 0.85380 0.22170 0.02677 0.84662 0.21407 0.02487 0.83926 0.20654 0.02305 0.83172 0.19912 0.02131 0.82399 0.19182 0.01966 0.81608 0.18462 0.01809 0.80799 0.17753 0.01660 0.79971 0.17055 0.01520 0.79125 0.16368 0.01387 0.78260 0.15693 0.01264 0.77377 0.15028 0.01148 0.76476 0.14374 0.01041 0.75556 0.13731 0.00942 0.74617 0.13098 0.00851 0.73661 0.12477 0.00769 0.72686 0.11867 0.00695 0.71692 0.11268 0.00629 0.70680 0.10680 0.00571 0.69650 0.10102 0.00522 0.68602 0.09536 0.00481 0.67535 0.08980 0.00449 0.66449 0.08436 0.00424 0.65345 0.07902 0.00408 0.64223 0.07380 0.00401 0.63082 0.06868 0.00401 0.61923 0.06367 0.00410 0.60746 0.05878 0.00427 0.59550 0.05399 0.00453 0.58336 0.04931 0.00486 0.57103 0.04474 0.00529 0.55852 0.04028 0.00579 0.54583 0.03593 0.00638 0.53295 0.03169 0.00705 0.51989 0.02756 0.00780 0.50664 0.02354 0.00863 0.49321 0.01963 0.00955 0.47960 0.01583 0.01055 ] grid = linspace(0,1,256) gridn = linspace(0,1,n) r = linear_interpn(gridn, grid, turbo_colormap_data(:,1)) g = linear_interpn(gridn, grid, turbo_colormap_data(:,2)) b = linear_interpn(gridn, grid, turbo_colormap_data(:,3)) cmap = [r', g', b'] endfunction