*! version 1.0.0  23may2020  Ben Jann
* {smcl}
* {title:ColrSpace matplotlib library}
* 
* This file contains coordinates of matplotlib colormaps. The coordinates
* can either be RGB anchor points of a linear segmented colormap
*     see {browse "https://matplotlib.org/tutorials/colors/colormap-manipulation.html#creating-linear-segmented-colormaps"}
* or RGB values of a listed colormap
*     see {browse "https://matplotlib.org/tutorials/colors/colormap-manipulation.html#listedcolormap"}
* The syntax for linear segmented colormaps is:
*     n:<name of the colormap>
*    [c:<class>]
*    [d:<description>]
*    [s:<source>]
*     r:#r #g #b
*     <R anchor 1>
*     ...
*     <R anchor #r>
*     <G anchor 1>
*     ...
*     <G anchor #g>
*     <B anchor 1>
*     ...
*     <B anchor #b>
* where r:#r #g #b specifies the number of anchor points per channel. An anchor
* must be specified as a space-separated list of three numbers in [0,1].
* The syntax for listed colormaps is:
*     n:<name of the colormap>
*    [c:<class>]
*    [d:<description>]
*    [s:<source>]
*     r:#
*     <RGB 1>
*     <RGB 2>
*     ...
*     <RGB #>
* where # specifies the number of RGB values in the colormap. An RGB value must
* be specified as a space-separated list of three number in [0,1].
* Colormap names should be unique.
* Lines starting with * will be ignored (as long as not within a list of anchor
* points or RGB values).
* {asis}
* {smcl}
* {title:autumn}{asis}
n:autumn
c:sequential
d:autumn colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:2 2 2
0 1 1
1 1 1
0 0 0
1 1 1
0 0 0
1 0 0
* {smcl}
* {title:spring}{asis}
n:spring
c:sequential
d:spring colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:2 2 2
0 1 1
1 1 1
0 0 0
1 1 1
0 1 1
1 0 0
* {smcl}
* {title:summer}{asis}
n:summer
c:sequential
d:summer colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:2 2 2
0 0 0
1 1 1
0 .5 .5
1 1 1
0 .4 .4
1 .4 .4
* {smcl}
* {title:winter}{asis}
n:winter
c:sequential
d:winter colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:2 2 2
0 0 0
1 0 0
0 0 0
1 1 1
0 1 1
1 .5 .5
* {smcl}
* {title:bone}{asis}
n:bone
c:sequential
d:bone colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:3 4 3
0 0 0
.746032 .652778 .652778
1 1 1
0 0 0
.365079 .319444 .319444
.746032 .777778 .777778
1 1 1
0 0 0
.365079 .444444 .444444
1 1 1
* {smcl}
* {title:cool}{asis}
n:cool
c:sequential
d:cool colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:2 2 2
0 0 0
1 1 1
0 1 1
1 0 0
0 1 1
1 1 1
* {smcl}
* {title:copper}{asis}
n:copper
c:sequential
d:copper colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:3 2 2
0 0 0
.809524 1 1
1 1 1
0 0 0
1 .7812 .7812
0 0 0
1 .4975 .4975
* {smcl}
* {title:coolwarm}{asis}
* Matplotlib source note:
*    # This bipolar color map was generated from CoolWarmFloat33.csv of
*    # "Diverging Color Maps for Scientific Visualization" by Kenneth Moreland.
*    # <http://www.kennethmoreland.com/color-maps/>
n:coolwarm
c:diverging
d:coolwarm colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:33 33 33
0 .2298057 .2298057
.03125 .26623388 .26623388
.0625 .30386891 .30386891
.09375 .342804478 .342804478
.125 .38301334 .38301334
.15625 .424369608 .424369608
.1875 .46666708 .46666708
.21875 .509635204 .509635204
.25 .552953156 .552953156
.28125 .596262162 .596262162
.3125 .639176211 .639176211
.34375 .681291281 .681291281
.375 .722193294 .722193294
.40625 .761464949 .761464949
.4375 .798691636 .798691636
.46875 .833466556 .833466556
.5 .865395197 .865395197
.53125 .897787179 .897787179
.5625 .924127593 .924127593
.59375 .944468518 .944468518
.625 .958852946 .958852946
.65625 .96732803 .96732803
.6875 .969954137 .969954137
.71875 .966811177 .966811177
.75 .958003065 .958003065
.78125 .943660866 .943660866
.8125 .923944917 .923944917
.84375 .89904617 .89904617
.875 .869186849 .869186849
.90625 .834620542 .834620542
.9375 .795631745 .795631745
.96875 .752534934 .752534934
1 .705673158 .705673158
0 .298717966 .298717966
.03125 .353094838 .353094838
.0625 .406535296 .406535296
.09375 .458757618 .458757618
.125 .50941904 .50941904
.15625 .558148092 .558148092
.1875 .604562568 .604562568
.21875 .648280772 .648280772
.25 .688929332 .688929332
.28125 .726149107 .726149107
.3125 .759599947 .759599947
.34375 .788964712 .788964712
.375 .813952739 .813952739
.40625 .834302879 .834302879
.4375 .849786142 .849786142
.46875 .860207984 .860207984
.5 .86541021 .86541021
.53125 .848937047 .848937047
.5625 .827384882 .827384882
.59375 .800927443 .800927443
.625 .769767752 .769767752
.65625 .734132809 .734132809
.6875 .694266682 .694266682
.71875 .650421156 .650421156
.75 .602842431 .602842431
.78125 .551750968 .551750968
.8125 .49730856 .49730856
.84375 .439559467 .439559467
.875 .378313092 .378313092
.90625 .312874446 .312874446
.9375 .24128379 .24128379
.96875 .157246067 .157246067
1 .01555616 .01555616
0 .753683153 .753683153
.03125 .801466763 .801466763
.0625 .84495867 .84495867
.09375 .883725899 .883725899
.125 .917387822 .917387822
.15625 .945619588 .945619588
.1875 .968154911 .968154911
.21875 .98478814 .98478814
.25 .995375608 .995375608
.28125 .999836203 .999836203
.3125 .998151185 .998151185
.34375 .990363227 .990363227
.375 .976574709 .976574709
.40625 .956945269 .956945269
.4375 .931688648 .931688648
.46875 .901068838 .901068838
.5 .865395561 .865395561
.53125 .820880546 .820880546
.5625 .774508472 .774508472
.59375 .726736146 .726736146
.625 .678007945 .678007945
.65625 .628751763 .628751763
.6875 .579375448 .579375448
.71875 .530263762 .530263762
.75 .481775914 .481775914
.78125 .434243684 .434243684
.8125 .387970225 .387970225
.84375 .343229596 .343229596
.875 .300267182 .300267182
.90625 .259301199 .259301199
.9375 .220525627 .220525627
.96875 .184115123 .184115123
1 .150232812 .150232812
* {smcl}
* {title:jet}{asis}
n:jet
c:sequential
d:jet colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:5 6 5
0 0 0
.35 0 0
.66 1 1
.89 1 1
1 .5 .5
0 0 0
.125 0 0
.375 1 1
.64 1 1
.91 0 0
1 0 0
0 .5 .5
.11 1 1
.34 1 1
.65 0 0
1 0 0
* {smcl}
* {title:hot}{asis}
n:hot
c:sequential
d:hot colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm.py
r:3 4 3
0 .0416 .0416
.365079 1 1
1 1 1
0 0 0
.365079 0 0
.746032 1 1
1 1 1
0 0 0
.746032 0 0
1 1 1
* {smcl}
* {title:magma}{asis}
n:magma
c:sequential
d:magma colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:256
.001462 .000466 .013866
.002258 .001295 .018331
.003279 .002305 .023708
.004512 .003490 .029965
.005950 .004843 .037130
.007588 .006356 .044973
.009426 .008022 .052844
.011465 .009828 .060750
.013708 .011771 .068667
.016156 .013840 .076603
.018815 .016026 .084584
.021692 .018320 .092610
.024792 .020715 .100676
.028123 .023201 .108787
.031696 .025765 .116965
.035520 .028397 .125209
.039608 .031090 .133515
.043830 .033830 .141886
.048062 .036607 .150327
.052320 .039407 .158841
.056615 .042160 .167446
.060949 .044794 .176129
.065330 .047318 .184892
.069764 .049726 .193735
.074257 .052017 .202660
.078815 .054184 .211667
.083446 .056225 .220755
.088155 .058133 .229922
.092949 .059904 .239164
.097833 .061531 .248477
.102815 .063010 .257854
.107899 .064335 .267289
.113094 .065492 .276784
.118405 .066479 .286321
.123833 .067295 .295879
.129380 .067935 .305443
.135053 .068391 .315000
.140858 .068654 .324538
.146785 .068738 .334011
.152839 .068637 .343404
.159018 .068354 .352688
.165308 .067911 .361816
.171713 .067305 .370771
.178212 .066576 .379497
.184801 .065732 .387973
.191460 .064818 .396152
.198177 .063862 .404009
.204935 .062907 .411514
.211718 .061992 .418647
.218512 .061158 .425392
.225302 .060445 .431742
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.238826 .059517 .443256
.245543 .059352 .448436
.252220 .059415 .453248
.258857 .059706 .457710
.265447 .060237 .461840
.271994 .060994 .465660
.278493 .061978 .469190
.284951 .063168 .472451
.291366 .064553 .475462
.297740 .066117 .478243
.304081 .067835 .480812
.310382 .069702 .483186
.316654 .071690 .485380
.322899 .073782 .487408
.329114 .075972 .489287
.335308 .078236 .491024
.341482 .080564 .492631
.347636 .082946 .494121
.353773 .085373 .495501
.359898 .087831 .496778
.366012 .090314 .497960
.372116 .092816 .499053
.378211 .095332 .500067
.384299 .097855 .501002
.390384 .100379 .501864
.396467 .102902 .502658
.402548 .105420 .503386
.408629 .107930 .504052
.414709 .110431 .504662
.420791 .112920 .505215
.426877 .115395 .505714
.432967 .117855 .506160
.439062 .120298 .506555
.445163 .122724 .506901
.451271 .125132 .507198
.457386 .127522 .507448
.463508 .129893 .507652
.469640 .132245 .507809
.475780 .134577 .507921
.481929 .136891 .507989
.488088 .139186 .508011
.494258 .141462 .507988
.500438 .143719 .507920
.506629 .145958 .507806
.512831 .148179 .507648
.519045 .150383 .507443
.525270 .152569 .507192
.531507 .154739 .506895
.537755 .156894 .506551
.544015 .159033 .506159
.550287 .161158 .505719
.556571 .163269 .505230
.562866 .165368 .504692
.569172 .167454 .504105
.575490 .169530 .503466
.581819 .171596 .502777
.588158 .173652 .502035
.594508 .175701 .501241
.600868 .177743 .500394
.607238 .179779 .499492
.613617 .181811 .498536
.620005 .183840 .497524
.626401 .185867 .496456
.632805 .187893 .495332
.639216 .189921 .494150
.645633 .191952 .492910
.652056 .193986 .491611
.658483 .196027 .490253
.664915 .198075 .488836
.671349 .200133 .487358
.677786 .202203 .485819
.684224 .204286 .484219
.690661 .206384 .482558
.697098 .208501 .480835
.703532 .210638 .479049
.709962 .212797 .477201
.716387 .214982 .475290
.722805 .217194 .473316
.729216 .219437 .471279
.735616 .221713 .469180
.742004 .224025 .467018
.748378 .226377 .464794
.754737 .228772 .462509
.761077 .231214 .460162
.767398 .233705 .457755
.773695 .236249 .455289
.779968 .238851 .452765
.786212 .241514 .450184
.792427 .244242 .447543
.798608 .247040 .444848
.804752 .249911 .442102
.810855 .252861 .439305
.816914 .255895 .436461
.822926 .259016 .433573
.828886 .262229 .430644
.834791 .265540 .427671
.840636 .268953 .424666
.846416 .272473 .421631
.852126 .276106 .418573
.857763 .279857 .415496
.863320 .283729 .412403
.868793 .287728 .409303
.874176 .291859 .406205
.879464 .296125 .403118
.884651 .300530 .400047
.889731 .305079 .397002
.894700 .309773 .393995
.899552 .314616 .391037
.904281 .319610 .388137
.908884 .324755 .385308
.913354 .330052 .382563
.917689 .335500 .379915
.921884 .341098 .377376
.925937 .346844 .374959
.929845 .352734 .372677
.933606 .358764 .370541
.937221 .364929 .368567
.940687 .371224 .366762
.944006 .377643 .365136
.947180 .384178 .363701
.950210 .390820 .362468
.953099 .397563 .361438
.955849 .404400 .360619
.958464 .411324 .360014
.960949 .418323 .359630
.963310 .425390 .359469
.965549 .432519 .359529
.967671 .439703 .359810
.969680 .446936 .360311
.971582 .454210 .361030
.973381 .461520 .361965
.975082 .468861 .363111
.976690 .476226 .364466
.978210 .483612 .366025
.979645 .491014 .367783
.981000 .498428 .369734
.982279 .505851 .371874
.983485 .513280 .374198
.984622 .520713 .376698
.985693 .528148 .379371
.986700 .535582 .382210
.987646 .543015 .385210
.988533 .550446 .388365
.989363 .557873 .391671
.990138 .565296 .395122
.990871 .572706 .398714
.991558 .580107 .402441
.992196 .587502 .406299
.992785 .594891 .410283
.993326 .602275 .414390
.993834 .609644 .418613
.994309 .616999 .422950
.994738 .624350 .427397
.995122 .631696 .431951
.995480 .639027 .436607
.995810 .646344 .441361
.996096 .653659 .446213
.996341 .660969 .451160
.996580 .668256 .456192
.996775 .675541 .461314
.996925 .682828 .466526
.997077 .690088 .471811
.997186 .697349 .477182
.997254 .704611 .482635
.997325 .711848 .488154
.997351 .719089 .493755
.997351 .726324 .499428
.997341 .733545 .505167
.997285 .740772 .510983
.997228 .747981 .516859
.997138 .755190 .522806
.997019 .762398 .528821
.996898 .769591 .534892
.996727 .776795 .541039
.996571 .783977 .547233
.996369 .791167 .553499
.996162 .798348 .559820
.995932 .805527 .566202
.995680 .812706 .572645
.995424 .819875 .579140
.995131 .827052 .585701
.994851 .834213 .592307
.994524 .841387 .598983
.994222 .848540 .605696
.993866 .855711 .612482
.993545 .862859 .619299
.993170 .870024 .626189
.992831 .877168 .633109
.992440 .884330 .640099
.992089 .891470 .647116
.991688 .898627 .654202
.991332 .905763 .661309
.990930 .912915 .668481
.990570 .920049 .675675
.990175 .927196 .682926
.989815 .934329 .690198
.989434 .941470 .697519
.989077 .948604 .704863
.988717 .955742 .712242
.988367 .962878 .719649
.988033 .970012 .727077
.987691 .977154 .734536
.987387 .984288 .742002
.987053 .991438 .749504
* {smcl}
* {title:inferno}{asis}
n:inferno
c:sequential
d:inferno colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:256
.001462 .000466 .013866
.002267 .001270 .018570
.003299 .002249 .024239
.004547 .003392 .030909
.006006 .004692 .038558
.007676 .006136 .046836
.009561 .007713 .055143
.011663 .009417 .063460
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.019373 .015133 .088767
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.056449 .034569 .168414
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.584521 .150294 .402385
.590734 .152563 .400290
.596940 .154848 .398125
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.615513 .161817 .391219
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.627847 .166575 .386276
.633998 .168992 .383704
.640135 .171438 .381065
.646260 .173914 .378359
.652369 .176421 .375586
.658463 .178962 .372748
.664540 .181539 .369846
.670599 .184153 .366879
.676638 .186807 .363849
.682656 .189501 .360757
.688653 .192239 .357603
.694627 .195021 .354388
.700576 .197851 .351113
.706500 .200728 .347777
.712396 .203656 .344383
.718264 .206636 .340931
.724103 .209670 .337424
.729909 .212759 .333861
.735683 .215906 .330245
.741423 .219112 .326576
.747127 .222378 .322856
.752794 .225706 .319085
.758422 .229097 .315266
.764010 .232554 .311399
.769556 .236077 .307485
.775059 .239667 .303526
.780517 .243327 .299523
.785929 .247056 .295477
.791293 .250856 .291390
.796607 .254728 .287264
.801871 .258674 .283099
.807082 .262692 .278898
.812239 .266786 .274661
.817341 .270954 .270390
.822386 .275197 .266085
.827372 .279517 .261750
.832299 .283913 .257383
.837165 .288385 .252988
.841969 .292933 .248564
.846709 .297559 .244113
.851384 .302260 .239636
.855992 .307038 .235133
.860533 .311892 .230606
.865006 .316822 .226055
.869409 .321827 .221482
.873741 .326906 .216886
.878001 .332060 .212268
.882188 .337287 .207628
.886302 .342586 .202968
.890341 .347957 .198286
.894305 .353399 .193584
.898192 .358911 .188860
.902003 .364492 .184116
.905735 .370140 .179350
.909390 .375856 .174563
.912966 .381636 .169755
.916462 .387481 .164924
.919879 .393389 .160070
.923215 .399359 .155193
.926470 .405389 .150292
.929644 .411479 .145367
.932737 .417627 .140417
.935747 .423831 .135440
.938675 .430091 .130438
.941521 .436405 .125409
.944285 .442772 .120354
.946965 .449191 .115272
.949562 .455660 .110164
.952075 .462178 .105031
.954506 .468744 .099874
.956852 .475356 .094695
.959114 .482014 .089499
.961293 .488716 .084289
.963387 .495462 .079073
.965397 .502249 .073859
.967322 .509078 .068659
.969163 .515946 .063488
.970919 .522853 .058367
.972590 .529798 .053324
.974176 .536780 .048392
.975677 .543798 .043618
.977092 .550850 .039050
.978422 .557937 .034931
.979666 .565057 .031409
.980824 .572209 .028508
.981895 .579392 .026250
.982881 .586606 .024661
.983779 .593849 .023770
.984591 .601122 .023606
.985315 .608422 .024202
.985952 .615750 .025592
.986502 .623105 .027814
.986964 .630485 .030908
.987337 .637890 .034916
.987622 .645320 .039886
.987819 .652773 .045581
.987926 .660250 .051750
.987945 .667748 .058329
.987874 .675267 .065257
.987714 .682807 .072489
.987464 .690366 .079990
.987124 .697944 .087731
.986694 .705540 .095694
.986175 .713153 .103863
.985566 .720782 .112229
.984865 .728427 .120785
.984075 .736087 .129527
.983196 .743758 .138453
.982228 .751442 .147565
.981173 .759135 .156863
.980032 .766837 .166353
.978806 .774545 .176037
.977497 .782258 .185923
.976108 .789974 .196018
.974638 .797692 .206332
.973088 .805409 .216877
.971468 .813122 .227658
.969783 .820825 .238686
.968041 .828515 .249972
.966243 .836191 .261534
.964394 .843848 .273391
.962517 .851476 .285546
.960626 .859069 .298010
.958720 .866624 .310820
.956834 .874129 .323974
.954997 .881569 .337475
.953215 .888942 .351369
.951546 .896226 .365627
.950018 .903409 .380271
.948683 .910473 .395289
.947594 .917399 .410665
.946809 .924168 .426373
.946392 .930761 .442367
.946403 .937159 .458592
.946903 .943348 .474970
.947937 .949318 .491426
.949545 .955063 .507860
.951740 .960587 .524203
.954529 .965896 .540361
.957896 .971003 .556275
.961812 .975924 .571925
.966249 .980678 .587206
.971162 .985282 .602154
.976511 .989753 .616760
.982257 .994109 .631017
.988362 .998364 .644924
* {smcl}
* {title:plasma}{asis}
n:plasma
c:sequential
d:plasma colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:256
.050383 .029803 .527975
.063536 .028426 .533124
.075353 .027206 .538007
.086222 .026125 .542658
.096379 .025165 .547103
.105980 .024309 .551368
.115124 .023556 .555468
.123903 .022878 .559423
.132381 .022258 .563250
.140603 .021687 .566959
.148607 .021154 .570562
.156421 .020651 .574065
.164070 .020171 .577478
.171574 .019706 .580806
.178950 .019252 .584054
.186213 .018803 .587228
.193374 .018354 .590330
.200445 .017902 .593364
.207435 .017442 .596333
.214350 .016973 .599239
.221197 .016497 .602083
.227983 .016007 .604867
.234715 .015502 .607592
.241396 .014979 .610259
.248032 .014439 .612868
.254627 .013882 .615419
.261183 .013308 .617911
.267703 .012716 .620346
.274191 .012109 .622722
.280648 .011488 .625038
.287076 .010855 .627295
.293478 .010213 .629490
.299855 .009561 .631624
.306210 .008902 .633694
.312543 .008239 .635700
.318856 .007576 .637640
.325150 .006915 .639512
.331426 .006261 .641316
.337683 .005618 .643049
.343925 .004991 .644710
.350150 .004382 .646298
.356359 .003798 .647810
.362553 .003243 .649245
.368733 .002724 .650601
.374897 .002245 .651876
.381047 .001814 .653068
.387183 .001434 .654177
.393304 .001114 .655199
.399411 .000859 .656133
.405503 .000678 .656977
.411580 .000577 .657730
.417642 .000564 .658390
.423689 .000646 .658956
.429719 .000831 .659425
.435734 .001127 .659797
.441732 .001540 .660069
.447714 .002080 .660240
.453677 .002755 .660310
.459623 .003574 .660277
.465550 .004545 .660139
.471457 .005678 .659897
.477344 .006980 .659549
.483210 .008460 .659095
.489055 .010127 .658534
.494877 .011990 .657865
.500678 .014055 .657088
.506454 .016333 .656202
.512206 .018833 .655209
.517933 .021563 .654109
.523633 .024532 .652901
.529306 .027747 .651586
.534952 .031217 .650165
.540570 .034950 .648640
.546157 .038954 .647010
.551715 .043136 .645277
.557243 .047331 .643443
.562738 .051545 .641509
.568201 .055778 .639477
.573632 .060028 .637349
.579029 .064296 .635126
.584391 .068579 .632812
.589719 .072878 .630408
.595011 .077190 .627917
.600266 .081516 .625342
.605485 .085854 .622686
.610667 .090204 .619951
.615812 .094564 .617140
.620919 .098934 .614257
.625987 .103312 .611305
.631017 .107699 .608287
.636008 .112092 .605205
.640959 .116492 .602065
.645872 .120898 .598867
.650746 .125309 .595617
.655580 .129725 .592317
.660374 .134144 .588971
.665129 .138566 .585582
.669845 .142992 .582154
.674522 .147419 .578688
.679160 .151848 .575189
.683758 .156278 .571660
.688318 .160709 .568103
.692840 .165141 .564522
.697324 .169573 .560919
.701769 .174005 .557296
.706178 .178437 .553657
.710549 .182868 .550004
.714883 .187299 .546338
.719181 .191729 .542663
.723444 .196158 .538981
.727670 .200586 .535293
.731862 .205013 .531601
.736019 .209439 .527908
.740143 .213864 .524216
.744232 .218288 .520524
.748289 .222711 .516834
.752312 .227133 .513149
.756304 .231555 .509468
.760264 .235976 .505794
.764193 .240396 .502126
.768090 .244817 .498465
.771958 .249237 .494813
.775796 .253658 .491171
.779604 .258078 .487539
.783383 .262500 .483918
.787133 .266922 .480307
.790855 .271345 .476706
.794549 .275770 .473117
.798216 .280197 .469538
.801855 .284626 .465971
.805467 .289057 .462415
.809052 .293491 .458870
.812612 .297928 .455338
.816144 .302368 .451816
.819651 .306812 .448306
.823132 .311261 .444806
.826588 .315714 .441316
.830018 .320172 .437836
.833422 .324635 .434366
.836801 .329105 .430905
.840155 .333580 .427455
.843484 .338062 .424013
.846788 .342551 .420579
.850066 .347048 .417153
.853319 .351553 .413734
.856547 .356066 .410322
.859750 .360588 .406917
.862927 .365119 .403519
.866078 .369660 .400126
.869203 .374212 .396738
.872303 .378774 .393355
.875376 .383347 .389976
.878423 .387932 .386600
.881443 .392529 .383229
.884436 .397139 .379860
.887402 .401762 .376494
.890340 .406398 .373130
.893250 .411048 .369768
.896131 .415712 .366407
.898984 .420392 .363047
.901807 .425087 .359688
.904601 .429797 .356329
.907365 .434524 .352970
.910098 .439268 .349610
.912800 .444029 .346251
.915471 .448807 .342890
.918109 .453603 .339529
.920714 .458417 .336166
.923287 .463251 .332801
.925825 .468103 .329435
.928329 .472975 .326067
.930798 .477867 .322697
.933232 .482780 .319325
.935630 .487712 .315952
.937990 .492667 .312575
.940313 .497642 .309197
.942598 .502639 .305816
.944844 .507658 .302433
.947051 .512699 .299049
.949217 .517763 .295662
.951344 .522850 .292275
.953428 .527960 .288883
.955470 .533093 .285490
.957469 .538250 .282096
.959424 .543431 .278701
.961336 .548636 .275305
.963203 .553865 .271909
.965024 .559118 .268513
.966798 .564396 .265118
.968526 .569700 .261721
.970205 .575028 .258325
.971835 .580382 .254931
.973416 .585761 .251540
.974947 .591165 .248151
.976428 .596595 .244767
.977856 .602051 .241387
.979233 .607532 .238013
.980556 .613039 .234646
.981826 .618572 .231287
.983041 .624131 .227937
.984199 .629718 .224595
.985301 .635330 .221265
.986345 .640969 .217948
.987332 .646633 .214648
.988260 .652325 .211364
.989128 .658043 .208100
.989935 .663787 .204859
.990681 .669558 .201642
.991365 .675355 .198453
.991985 .681179 .195295
.992541 .687030 .192170
.993032 .692907 .189084
.993456 .698810 .186041
.993814 .704741 .183043
.994103 .710698 .180097
.994324 .716681 .177208
.994474 .722691 .174381
.994553 .728728 .171622
.994561 .734791 .168938
.994495 .740880 .166335
.994355 .746995 .163821
.994141 .753137 .161404
.993851 .759304 .159092
.993482 .765499 .156891
.993033 .771720 .154808
.992505 .777967 .152855
.991897 .784239 .151042
.991209 .790537 .149377
.990439 .796859 .147870
.989587 .803205 .146529
.988648 .809579 .145357
.987621 .815978 .144363
.986509 .822401 .143557
.985314 .828846 .142945
.984031 .835315 .142528
.982653 .841812 .142303
.981190 .848329 .142279
.979644 .854866 .142453
.977995 .861432 .142808
.976265 .868016 .143351
.974443 .874622 .144061
.972530 .881250 .144923
.970533 .887896 .145919
.968443 .894564 .147014
.966271 .901249 .148180
.964021 .907950 .149370
.961681 .914672 .150520
.959276 .921407 .151566
.956808 .928152 .152409
.954287 .934908 .152921
.951726 .941671 .152925
.949151 .948435 .152178
.946602 .955190 .150328
.944152 .961916 .146861
.941896 .968590 .140956
.940015 .975158 .131326
* {smcl}
* {title:viridis}{asis}
n:viridis
c:sequential
d:viridis colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:256
.267004 .004874 .329415
.268510 .009605 .335427
.269944 .014625 .341379
.271305 .019942 .347269
.272594 .025563 .353093
.273809 .031497 .358853
.274952 .037752 .364543
.276022 .044167 .370164
.277018 .050344 .375715
.277941 .056324 .381191
.278791 .062145 .386592
.279566 .067836 .391917
.280267 .073417 .397163
.280894 .078907 .402329
.281446 .084320 .407414
.281924 .089666 .412415
.282327 .094955 .417331
.282656 .100196 .422160
.282910 .105393 .426902
.283091 .110553 .431554
.283197 .115680 .436115
.283229 .120777 .440584
.283187 .125848 .444960
.283072 .130895 .449241
.282884 .135920 .453427
.282623 .140926 .457517
.282290 .145912 .461510
.281887 .150881 .465405
.281412 .155834 .469201
.280868 .160771 .472899
.280255 .165693 .476498
.279574 .170599 .479997
.278826 .175490 .483397
.278012 .180367 .486697
.277134 .185228 .489898
.276194 .190074 .493001
.275191 .194905 .496005
.274128 .199721 .498911
.273006 .204520 .501721
.271828 .209303 .504434
.270595 .214069 .507052
.269308 .218818 .509577
.267968 .223549 .512008
.266580 .228262 .514349
.265145 .232956 .516599
.263663 .237631 .518762
.262138 .242286 .520837
.260571 .246922 .522828
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.257322 .256130 .526563
.255645 .260703 .528312
.253935 .265254 .529983
.252194 .269783 .531579
.250425 .274290 .533103
.248629 .278775 .534556
.246811 .283237 .535941
.244972 .287675 .537260
.243113 .292092 .538516
.241237 .296485 .539709
.239346 .300855 .540844
.237441 .305202 .541921
.235526 .309527 .542944
.233603 .313828 .543914
.231674 .318106 .544834
.229739 .322361 .545706
.227802 .326594 .546532
.225863 .330805 .547314
.223925 .334994 .548053
.221989 .339161 .548752
.220057 .343307 .549413
.218130 .347432 .550038
.216210 .351535 .550627
.214298 .355619 .551184
.212395 .359683 .551710
.210503 .363727 .552206
.208623 .367752 .552675
.206756 .371758 .553117
.204903 .375746 .553533
.203063 .379716 .553925
.201239 .383670 .554294
.199430 .387607 .554642
.197636 .391528 .554969
.195860 .395433 .555276
.194100 .399323 .555565
.192357 .403199 .555836
.190631 .407061 .556089
.188923 .410910 .556326
.187231 .414746 .556547
.185556 .418570 .556753
.183898 .422383 .556944
.182256 .426184 .557120
.180629 .429975 .557282
.179019 .433756 .557430
.177423 .437527 .557565
.175841 .441290 .557685
.174274 .445044 .557792
.172719 .448791 .557885
.171176 .452530 .557965
.169646 .456262 .558030
.168126 .459988 .558082
.166617 .463708 .558119
.165117 .467423 .558141
.163625 .471133 .558148
.162142 .474838 .558140
.160665 .478540 .558115
.159194 .482237 .558073
.157729 .485932 .558013
.156270 .489624 .557936
.154815 .493313 .557840
.153364 .497000 .557724
.151918 .500685 .557587
.150476 .504369 .557430
.149039 .508051 .557250
.147607 .511733 .557049
.146180 .515413 .556823
.144759 .519093 .556572
.143343 .522773 .556295
.141935 .526453 .555991
.140536 .530132 .555659
.139147 .533812 .555298
.137770 .537492 .554906
.136408 .541173 .554483
.135066 .544853 .554029
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.132444 .552216 .553018
.131172 .555899 .552459
.129933 .559582 .551864
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.127568 .566949 .550556
.126453 .570633 .549841
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.124395 .578002 .548287
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.121148 .592739 .544641
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.120092 .600104 .542530
.119738 .603785 .541400
.119512 .607464 .540218
.119423 .611141 .538982
.119483 .614817 .537692
.119699 .618490 .536347
.120081 .622161 .534946
.120638 .625828 .533488
.121380 .629492 .531973
.122312 .633153 .530398
.123444 .636809 .528763
.124780 .640461 .527068
.126326 .644107 .525311
.128087 .647749 .523491
.130067 .651384 .521608
.132268 .655014 .519661
.134692 .658636 .517649
.137339 .662252 .515571
.140210 .665859 .513427
.143303 .669459 .511215
.146616 .673050 .508936
.150148 .676631 .506589
.153894 .680203 .504172
.157851 .683765 .501686
.162016 .687316 .499129
.166383 .690856 .496502
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.191090 .708366 .482284
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.458674 .816363 .329727
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.477504 .821444 .318195
.487026 .823929 .312321
.496615 .826376 .306377
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.515992 .831158 .294279
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.545524 .838039 .275626
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.565498 .842430 .262877
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.585678 .846661 .249897
.595839 .848717 .243329
.606045 .850733 .236712
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.626579 .854645 .223353
.636902 .856542 .216620
.647257 .858400 .209861
.657642 .860219 .203082
.668054 .861999 .196293
.678489 .863742 .189503
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* {smcl}
* {title:cividis}{asis}
n:cividis
c:sequential
d:cividis colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:256
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* {smcl}
* {title:twilight}{asis}
n:twilight
c:diverging
d:twilight colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:510
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* {smcl}
* {title:turbo}{asis}
n:turbo
c:sequential
d:turbo colormap from matplotlib.org
s:https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/_cm_listed.py
r:256
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