0.98.4版本新的炫酷特性

创建精美的盒子和箭头样式。

  1. import matplotlib.patches as mpatch
  2. import matplotlib.pyplot as plt
  4. figheight = 8
  5. fig = plt.figure(1, figsize=(9, figheight), dpi=80)
  6. fontsize = 0.4 * fig.dpi
  8. def make_boxstyles(ax):
  9.     styles = mpatch.BoxStyle.get_styles()
  11.     for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
  12.         ax.text(0.5, (float(len(styles)) - 0.5 - i)/len(styles), stylename,
  13.                   ha="center",
  14.                   size=fontsize,
  15.                   transform=ax.transAxes,
  16.                   bbox=dict(boxstyle=stylename, fc="w", ec="k"))
  18. def make_arrowstyles(ax):
  19.     styles = mpatch.ArrowStyle.get_styles()
  21.     ax.set_xlim(0, 4)
  22.     ax.set_ylim(0, figheight)
  24.     for i, (stylename, styleclass) in enumerate(sorted(styles.items())):
  25.         y = (float(len(styles)) -0.25 - i) # /figheight
  26.         p = mpatch.Circle((3.2, y), 0.2, fc="w")
  27.         ax.add_patch(p)
  29.         ax.annotate(stylename, (3.2, y),
  30.                     (2., y),
  31.                     #xycoords="figure fraction", textcoords="figure fraction",
  32.                     ha="right", va="center",
  33.                     size=fontsize,
  34.                     arrowprops=dict(arrowstyle=stylename,
  35.                                     patchB=p,
  36.                                     shrinkA=5,
  37.                                     shrinkB=5,
  38.                                     fc="w", ec="k",
  39.                                     connectionstyle="arc3,rad=-0.05",
  40.                                     ),
  41.                     bbox=dict(boxstyle="square", fc="w"))
  43.     ax.xaxis.set_visible(False)
  44.     ax.yaxis.set_visible(False)
  47. ax1 = fig.add_subplot(121, frameon=False, xticks=[], yticks=[])
  48. make_boxstyles(ax1)
  50. ax2 = fig.add_subplot(122, frameon=False, xticks=[], yticks=[])
  51. make_arrowstyles(ax2)
  54. plt.show()

新特性示例

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.patches
  3. matplotlib.patches.BoxStyle
  4. matplotlib.patches.BoxStyle.get_styles
  5. matplotlib.patches.ArrowStyle
  6. matplotlib.patches.ArrowStyle.get_styles
  7. matplotlib.axes.Axes.text
  8. matplotlib.axes.Axes.annotate

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