Named colors in matplotlib

Question

What named colors are available in matplotlib for use in plots   I can find a list on the matplotlib documentation that claims that these are the only names   b  blue g  green r  red c  cyan m  magenta y  yellow k  black w  white   However  I ve found that these colors can also be used  at least in this context   scatter X Y  color  red   scatter X Y  color  orange   scatter X Y  color  darkgreen     but these are not on the above list   Does anyone know an exhaustive list of the named colors that are available

User · Answer

In addition to BoshWash s answer  here is the picture generated by his code

User · Answer

To get a full list of colors to use in plots   import matplotlib colors as colors colors list   list colors  colors full map values      So  you can use in that way quickly   scatter X Y  color colors list 0   scatter X Y  color colors list 1   scatter X Y  color colors list 2       scatter X Y  color colors list -1

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I constantly forget the names of the colors I want to use and keep coming back to this question     The previous answers are great  but I find it a bit difficult to get an overview of the available colors from the posted image  I prefer the colors to be grouped with similar colors  so I slightly tweaked the matplotlib answer that was mentioned in a comment above to get a color list sorted in columns  The order is not identical to how I would sort by eye  but I think it gives a good overview   I updated the image and code to reflect that  rebeccapurple  has been added and the three sage colors have been moved under the  xkcd   prefix since I posted this answer originally     I really didn t change much from the matplotlib example  but here is the code for completeness   import matplotlib pyplot as plt from matplotlib import colors as mcolors   colors   dict mcolors BASE COLORS    mcolors CSS4 COLORS     Sort colors by hue  saturation  value and name  by hsv   sorted  tuple mcolors rgb to hsv mcolors to rgba color   3     name                  for name  color in colors items    sorted names    name for hsv  name in by hsv   n   len sorted names  ncols   4 nrows   n    ncols  fig  ax   plt subplots figsize  12  10      Get height and width X  Y   fig get dpi     fig get size inches   h   Y    nrows   1  w   X   ncols  for i  name in enumerate sorted names       row   i   nrows     col   i    nrows     y   Y -  row   h  - h      xi line   w    col   0 05      xf line   w    col   0 25      xi text   w    col   0 3       ax text xi text  y  name  fontsize  h   0 8               horizontalalignment  left               verticalalignment  center        ax hlines y   h   0 1  xi line  xf line                color colors name   linewidth  h   0 8    ax set xlim 0  X  ax set ylim 0  Y  ax set axis off    fig subplots adjust left 0  right 1                      top 1  bottom 0                      hspace 0  wspace 0  plt show       Additional named colors  Updated 2017-10-25  I merged my previous updates into this section   xkcd  If you would like to use additional named colors when plotting with matplotlib  you can use the xkcd crowdsourced color names  via the  xkcd   prefix   plt plot  1 2   lw 4  c  xkcd baby poop green     Now you have access to a plethora of named colors     Tableau  The default Tableau colors are available in matplotlib via the  tab   prefix   plt plot  1 2   lw 4  c  tab green     There are ten distinct colors     HTML  You can also plot colors by their HTML hex code   plt plot  1 2   lw 4  c   8f9805     This is more similar to specifying and RGB tuple rather than a named color  apart from the fact that the hex code is passed as a string   and I will not include an image of the 16 million colors you can choose from       For more details  please refer to the matplotlib colors documentation and the source file specifying the available colors   color data py

User · Answer

Matplotlib uses a dictionary from its colors py module    To print the names use     python2   import matplotlib for name  hex in matplotlib colors cnames iteritems        print name  hex     python3   import matplotlib for name  hex in matplotlib colors cnames items        print name  hex    This is the complete dictionary   cnames      aliceblue                F0F8FF    antiquewhite             FAEBD7    aqua                     00FFFF    aquamarine               7FFFD4    azure                    F0FFFF    beige                    F5F5DC    bisque                   FFE4C4    black                    000000    blanchedalmond           FFEBCD    blue                     0000FF    blueviolet               8A2BE2    brown                    A52A2A    burlywood                DEB887    cadetblue                5F9EA0    chartreuse               7FFF00    chocolate                D2691E    coral                    FF7F50    cornflowerblue           6495ED    cornsilk                 FFF8DC    crimson                  DC143C    cyan                     00FFFF    darkblue                 00008B    darkcyan                 008B8B    darkgoldenrod            B8860B    darkgray                 A9A9A9    darkgreen                006400    darkkhaki                BDB76B    darkmagenta              8B008B    darkolivegreen           556B2F    darkorange               FF8C00    darkorchid               9932CC    darkred                  8B0000    darksalmon               E9967A    darkseagreen             8FBC8F    darkslateblue            483D8B    darkslategray            2F4F4F    darkturquoise            00CED1    darkviolet               9400D3    deeppink                 FF1493    deepskyblue              00BFFF    dimgray                  696969    dodgerblue               1E90FF    firebrick                B22222    floralwhite              FFFAF0    forestgreen              228B22    fuchsia                  FF00FF    gainsboro                DCDCDC    ghostwhite               F8F8FF    gold                     FFD700    goldenrod                DAA520    gray                     808080    green                    008000    greenyellow              ADFF2F    honeydew                 F0FFF0    hotpink                  FF69B4    indianred                CD5C5C    indigo                   4B0082    ivory                    FFFFF0    khaki                    F0E68C    lavender                 E6E6FA    lavenderblush            FFF0F5    lawngreen                7CFC00    lemonchiffon             FFFACD    lightblue                ADD8E6    lightcoral               F08080    lightcyan                E0FFFF    lightgoldenrodyellow     FAFAD2    lightgreen               90EE90    lightgray                D3D3D3    lightpink                FFB6C1    lightsalmon              FFA07A    lightseagreen            20B2AA    lightskyblue             87CEFA    lightslategray           778899    lightsteelblue           B0C4DE    lightyellow              FFFFE0    lime                     00FF00    limegreen                32CD32    linen                    FAF0E6    magenta                  FF00FF    maroon                   800000    mediumaquamarine         66CDAA    mediumblue               0000CD    mediumorchid             BA55D3    mediumpurple             9370DB    mediumseagreen           3CB371    mediumslateblue          7B68EE    mediumspringgreen        00FA9A    mediumturquoise          48D1CC    mediumvioletred          C71585    midnightblue             191970    mintcream                F5FFFA    mistyrose                FFE4E1    moccasin                 FFE4B5    navajowhite              FFDEAD    navy                     000080    oldlace                  FDF5E6    olive                    808000    olivedrab                6B8E23    orange                   FFA500    orangered                FF4500    orchid                   DA70D6    palegoldenrod            EEE8AA    palegreen                98FB98    paleturquoise            AFEEEE    palevioletred            DB7093    papayawhip               FFEFD5    peachpuff                FFDAB9    peru                     CD853F    pink                     FFC0CB    plum                     DDA0DD    powderblue               B0E0E6    purple                   800080    red                      FF0000    rosybrown                BC8F8F    royalblue                4169E1    saddlebrown              8B4513    salmon                   FA8072    sandybrown               FAA460    seagreen                 2E8B57    seashell                 FFF5EE    sienna                   A0522D    silver                   C0C0C0    skyblue                  87CEEB    slateblue                6A5ACD    slategray                708090    snow                     FFFAFA    springgreen              00FF7F    steelblue                4682B4    tan                      D2B48C    teal                     008080    thistle                  D8BFD8    tomato                   FF6347    turquoise                40E0D0    violet                   EE82EE    wheat                    F5DEB3    white                    FFFFFF    whitesmoke               F5F5F5    yellow                   FFFF00    yellowgreen              9ACD32     You could plot them like this   import matplotlib pyplot as plt import matplotlib patches as patches import matplotlib colors as colors import math   fig   plt figure   ax   fig add subplot 111   ratio   1 0   3 0 count   math ceil math sqrt len colors cnames    x count   count   ratio y count   count   ratio x   0 y   0 w   1   x count h   1   y count  for c in colors cnames      pos    x   x count  y   y count      ax add patch patches Rectangle pos  w  h  color c       ax annotate c  xy pos      if y  gt   y count-1          x    1         y   0     else          y    1  plt show

[python] Named colors in matplotlib

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