Color and line control of matplotlib in Python

Reference URL:

Http://stackoverflow.com/questions/22408237/named-colors-in-matplotlib

Http://stackoverflow.com/questions/8409095/matplotlib-set-markers-for-individual-points-on-a-line

Code:

Plt.subplots (1, 1) x= range (+) y= [i**2 for I in X]plt.plot (x, y, linewidth = ' 1 ', label = "Test", color= ' Coral ', LINEST Yle= ': ', marker= ' | ') Plt.legend (loc= ' upper left ') plt.show ()

Results:

Description: In fact, above color= ' coral ', can be replaced with color= ' #054E9F ', each two hexadecimal number represents R, G, B components:

The second reference URL gives the LineStyle optional parameters:

'-'       solid line Style '--'      dashed line style '-. '      Dash-dot line Style ': '       dotted line style

The second reference URL gives the marker optional parameters:

'. '       Point marker ', '       pixel marker ' o '       circle marker ' V '       triangle_down marker ' ^ '       triangle_up marker ' < '       triangle_left marker ' > '       triangle_right marker ' 1 '       tri_down marker ' 2 '       tri_up marker ' 3 '       Tri_left marker ' 4 '       tri_right marker ' s '       square marker ' p '       pentagon marker ' * '       star marker ' h '       Hexagon1 marker ' H '       hexagon2 marker ' + '       plus marker ' x '       x marker ' d '       diamond marker ' d '       thin_ Diamond marker ' | '       VLine marker ' _ '       hline marker

The first reference URL gives the color available in matplotlib:

CNAMEs = {' AliceBlue ': ' #F0F8FF ', ' antiquewhite ': ' #FAEBD7 ', ' Aqua ': ' #00FFFF ', ' Aquamarin ' E ': ' #7FFFD4 ', ' Azure ': ' #F0FFFF ', ' beige ': ' #F5F5DC ', ' bisque ': ' #FFE4           C4 ', ' black ': ' #000000 ', ' blanchedalmond ': ' #FFEBCD ', ' Blue ': ' #0000FF ', ' blueviolet ': ' #8A2BE2 ', ' Brown ': ' #A52A2A ', ' burlywood ': ' #DEB887 ', ' cadetblue ': ' #5F9EA0 ', ' C       Hartreuse ': ' #7FFF00 ', ' chocolate ': ' #D2691E ', ' Coral ': ' #FF7F50 ', ' cornflowerblue ': ' #6495ED ', ' cornsilk ': ' #FFF8DC ', ' crimson ': ' #DC143C ', ' cyan ': ' #00FFFF ', ' Darkblu E ': ' #00008B ', ' Darkcyan ': ' #008B8B ', ' darkgoldenrod ': ' #B8860B ', ' darkgray ': ' #A9 A9a9 ', ' darkgreen ': ' #006400 ', ' Darkkhaki ': ' #BDB76B ', ' darkmagenta ': ' #8B008B ', ' Darkolivegree N ': ' #556B2F ', ' DarKorange ': ' #FF8C00 ', ' darkorchid ': ' #9932CC ', ' darkred ': ' #8B0000 ', ' DarkSalmon ': ' #E9967A ', ' darkseagreen ': ' #8FBC8F ', ' darkslateblue ': ' #483D8B ', ' darkslategray ': ' #2F4F4F ', ' Darkturqu Oise ': ' #00CED1 ', ' darkviolet ': ' #9400D3 ', ' deeppink ': ' #FF1493 ', ' deepskyblue ': ' #00BF          FF ', ' dimgray ': ' #696969 ', ' dodgerblue ': ' #1E90FF ', ' firebrick ': ' #B22222 ', ' floralwhite ': ' #FFFAF0 ', ' forestgreen ': ' #228B22 ', ' fuchsia ': ' #FF00FF ', ' Gainsboro ': ' #DCDCDC ', ' g                 Hostwhite ': ' #F8F8FF ', ' Gold ': ' #FFD700 ', ' goldenrod ': ' #DAA520 ', ' gray ': ' #808080 ', ' green ': ' #008000 ', ' greenyellow ': ' #ADFF2F ', ' honeydew ': ' #F0FFF0 ', ' Hotpink ': ' #FF69B4 ', ' indianred ': ' #CD5C5C ', ' Indigo ': ' #4B0082 ', ' Ivory ': ' #FF          FFF0 ', ' khaki ':      ' #F0E68C ', ' lavender ': ' #E6E6FA ', ' lavenderblush ': ' #FFF0F5 ', ' lawngreen ': ' #7CFC00 ', ' Lem            Onchiffon ': ' #FFFACD ', ' lightblue ': ' #ADD8E6 ', ' lightcoral ': ' #F08080 ', ' Lightcyan ': ' #E0FFFF ', ' lightgoldenrodyellow ': ' #FAFAD2 ', ' lightgreen ': ' #90EE90 ', ' lightgray ': ' #D3D3D3 ', ' Lightpink ': ' #FFB6C1 ', ' Lightsalmon ': ' #FFA07A ', ' lightseagreen ': ' #20B2AA ', ' lightskyblue ': ' #87CE                 FA ', ' lightslategray ': ' #778899 ', ' lightsteelblue ': ' #B0C4DE ', ' lightyellow ': ' #FFFFE0 ', ' lime ': ' #00FF00 ', ' limegreen ': ' #32CD32 ', ' linen ': ' #FAF0E6 ', ' Magenta ': ' #FF00FF ', ' m         Aroon ': ' #800000 ', ' mediumaquamarine ': ' #66CDAA ', ' mediumblue ': ' #0000CD ', ' Mediumorchid ': ' #BA55D3 ', ' mediumpurple ': ' #9370DB ', ' mediumseagreen ': ' #3CB371 ', ' mediumslateblue ': ' #7B68EE ', ' mediums Pringgreen ': ' #00FA9A', ' mediumturquoise ': ' #48D1CC ', ' mediumvioletred ': ' #C71585 ', ' midnightblue ': ' #191970 ', ' mintcream ': ' #F5FFFA ', ' mistyrose ': ' #FFE4E1 ', ' moccasin ': ' #FFE4B5 ', ' navajowhite ': ' #FFDEAD ', ' Nav            Y ': ' #000080 ', ' oldlace ': ' #FDF5E6 ', ' Olive ': ' #808000 ', ' olivedrab ': ' #6B8E23 ', ' orange ': ' #FFA500 ', ' orangered ': ' #FF4500 ', ' orchid ': ' #DA70D6 ', ' Palegolde Nrod ': ' #EEE8AA ', ' palegreen ': ' #98FB98 ', ' paleturquoise ': ' #AFEEEE ', ' palevioletred ': ' #DB70                 ' Papayawhip ': ' #FFEFD5 ', ' peachpuff ': ' #FFDAB9 ', ' Peru ': ' #CD853F ', ' Pink ': ' #FFC0CB ', ' plum ': ' #DDA0DD ', ' powderblue ': ' #B0E0E6 ', ' Purple ': ' #800080 ', ' r          Ed ': ' #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 ', ' Ste              Elblue ': ' #4682B4 ', ' tan ': ' #D2B48C ', ' teal ': ' #008080 ', ' Thistle ':                ' #D8BFD8 ', ' tomato ': ' #FF6347 ', ' turquoise ': ' #40E0D0 ', ' Violet ': ' #EE82EE ', ' wheat ': ' #F5DEB3 ', ' White ': ' #FFFFFF ', ' whitesmoke ': ' #F5F5F5 ', ' Yellow ': ' #FFFF xx ', ' yellowgreen ': ' #9ACD32 '}

The color above corresponds to:

Another way to display:

If the Seaborn extension is installed, all xkcd crowdsourced color names are included in the dictionary Seaborn.xkcd_rgb. As follows:

Plt.plot ([up], lw=4, c=seaborn.xkcd_rgb[' baby poop green ')

All colors are as follows:

Tags: python

Color and line control of matplotlib in Python