CODEWITHSUNDEEP
matplotlib
Ruggero Turra
Ruggero Turra

Reputation: 17720

get bounding box of a text and update the canvas

Similarly as in this question change text style inline in matplotlib I want to write two labels in different styles (bold and normal, e.g. "bold normal") as if they were the same label without using latex.

Here something that it is working:

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()

but I am not happy since the usage of print_label is not transparent: the user has to call fig.canvas.draw(). So I tried this:

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()

the problem there is that I am not able to disconnect the event, and I am getting:

RuntimeError: maximum recursion depth exceeded while calling a Python object

Upvotes: 2

Views: 436

Answers (1)

Ophir Carmi
Ophir Carmi

Reputation: 2931

I followed the first section of: 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()

Upvotes: 2

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