Before I get started, I am totally excited about the Matplotlib panes supporting ipympl and interactions. However, while I was testing out this new feature, I encountered some unexpected behavior. Here’s an MWE from my testing
import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display
import panel as pn
pn.extension()
TWOPI = 2*np.pi
fig, ax = plt.subplots()
t = np.arange(0.0, TWOPI, 0.001)
initial_amp = 0.5
s = initial_amp*np.sin(t)
l, = ax.plot(t, s, lw=2)
ax.set_xlim(0, TWOPI)
ax.set_ylim(-1, 1)
def add_lines(event):
xloc = event.xdata
yloc = event.ydata
ax.axvline(xloc)
ax.axhline(yloc)
fig.canvas.draw_idle()
fig.canvas.mpl_connect('button_press_event', add_lines)
mpl_pane = pn.pane.Matplotlib(fig, dpi=144, interactive=True)
display(mpl_pane)
If I just use plt.show() outside of Panel, I get the interactivity that I expect. However, when I put the figure in a Matplotlib pane, I lose the button_press_event interactivity.
I did find, though, that if I move th mpl_connect statement to after the display function is called, the button_press_event callback is triggered in the Matplotlib pane.
Not sure if this is a bug or a limitation, but it would sure be nice if any event handling in the figure can carry over into the Matplotlib pane without tweaks to pre-existing code.
Thank you for all your hard work on this project!