可视化命名颜色

这绘制了matplotlib中支持的命名颜色列表。 请注意，也支持xkcd颜色，但为简洁起见，此处未列出。

有关matplotlib中颜色的更多信息，请参阅：

  1. import matplotlib.pyplot as plt
  2. import matplotlib.colors as mcolors
  5. def plot_colortable(colors, title, sort_colors=True, emptycols=0):
  7.     cell_width = 212
  8.     cell_height = 22
  9.     swatch_width = 48
  10.     margin = 12
  11.     topmargin = 40
  13.     # Sort colors by hue, saturation, value and name.
  14.     by_hsv = ((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)
  15.                     for name, color in colors.items())
  16.     if sort_colors is True:
  17.         by_hsv = sorted(by_hsv)
  18.     names = [name for hsv, name in by_hsv]
  20.     n = len(names)
  21.     ncols = 4 - emptycols
  22.     nrows = n // ncols + int(n % ncols > 0)
  24.     width = cell_width * 4 + 2 * margin
  25.     height = cell_height * nrows + margin + topmargin
  26.     dpi = 72
  28.     fig, ax = plt.subplots(figsize=(width / dpi, height / dpi), dpi=dpi)
  29.     fig.subplots_adjust(margin/width, margin/height,
  30.                         (width-margin)/width, (height-topmargin)/height)
  31.     ax.set_xlim(0, cell_width * 4)
  32.     ax.set_ylim(cell_height * (nrows-0.5), -cell_height/2.)
  33.     ax.yaxis.set_visible(False)
  34.     ax.xaxis.set_visible(False)
  35.     ax.set_axis_off()
  36.     ax.set_title(title, fontsize=24, loc="left", pad=10)
  38.     for i, name in enumerate(names):
  39.         row = i % nrows
  40.         col = i // nrows
  41.         y = row * cell_height
  43.         swatch_start_x = cell_width * col
  44.         swatch_end_x = cell_width * col + swatch_width
  45.         text_pos_x = cell_width * col + swatch_width + 7
  47.         ax.text(text_pos_x, y, name, fontsize=14,
  48.                 horizontalalignment='left',
  49.                 verticalalignment='center')
  51.         ax.hlines(y, swatch_start_x, swatch_end_x,
  52.                   color=colors[name], linewidth=18)
  54.     return fig
  56. plot_colortable(mcolors.BASE_COLORS, "Base Colors",
  57.                 sort_colors=False, emptycols=1)
  58. plot_colortable(mcolors.TABLEAU_COLORS, "Tableau Palette",
  59.                 sort_colors=False, emptycols=2)
  61. #sphinx_gallery_thumbnail_number = 3
  62. plot_colortable(mcolors.CSS4_COLORS, "CSS Colors")
  64. # Optionally plot the XKCD colors (Caution: will produce large figure)
  65. #xkcd_fig = plot_colortable(mcolors.XKCD_COLORS, "XKCD Colors")
  66. #xkcd_fig.savefig("XKCD_Colors.png")
  68. plt.show()

可视化命名颜色示例

可视化命名颜色示例2

可视化命名颜色示例3

参考

此示例中显示了以下函数，方法，类和模块的使用：

  1. import matplotlib
  2. matplotlib.colors
  3. matplotlib.colors.rgb_to_hsv
  4. matplotlib.colors.to_rgba
  5. matplotlib.figure.Figure.get_size_inches
  6. matplotlib.figure.Figure.subplots_adjust
  7. matplotlib.axes.Axes.text
  8. matplotlib.axes.Axes.hlines

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