Question

与此问题类似change text style inline in matplotlib我想写两个不同风格的标签（粗体和普通，例如＆＃34; 粗体正常＆＃34;），好像它们是不使用乳胶的相同标签。

这是它正在发挥作用的东西：

from matplotlib import pyplot as plt

fig, ax = plt.subplots()

def print_label(fig):
    l = fig.text(0.5, 0.5, "bold", fontweight='bold')
    def on_draw(event):
        xmax = l.get_window_extent().inverse_transformed(fig.transFigure).max[0]
        print xmax
        fig.text(xmax, 0.5, "Normal")
        return False
    fig.canvas.mpl_connect('draw_event', on_draw)

print_label(fig)
fig.canvas.draw()
plt.show()

但我不满意，因为print_label的使用不透明：用户必须致电fig.canvas.draw()。所以我尝试了这个：

from matplotlib import pyplot as plt

fig, ax = plt.subplots()

def print_label(fig):
    l = fig.text(0.5, 0.5, "bold", fontweight='bold')
    def on_draw(event):
        xmax = l.get_window_extent().inverse_transformed(fig.transFigure).max[0]
        print xmax
        fig.text(xmax, 0.5, "Normal")
        fig.canvas.mpl_disconnect(event)
        fig.canvas.draw()
        return False
    fig.canvas.mpl_connect('draw_event', on_draw)

print_label(fig)
plt.show()

问题是我无法断开事件，我得到了：

RuntimeError: maximum recursion depth exceeded while calling a Python object

Answer 1

我按照第一部分：http://matplotlib.org/users/event_handling.html

from matplotlib import pyplot as plt

fig, ax = plt.subplots()

def print_label(fig):
    l = fig.text(0.5, 0.5, "bold", fontweight='bold')
    def on_draw(event):
        xmax = l.get_window_extent().inverse_transformed(fig.transFigure).max[0]
        print xmax
        fig.text(xmax, 0.5, "Normal")
        fig.canvas.mpl_disconnect(cid)
        return False
    cid = fig.canvas.mpl_connect('draw_event', on_draw)
    fig.canvas.draw()

print_label(fig)
plt.show()

获取文本的边界框并更新画布

1 个答案: