Hello,
On matplotlib's home, there is a demo ( a program called legend_picking.py
) were one can click on the lines in the legend of a plot to hide / unhide
the corresponding plot lines.
However there is a problem when the click takes place outside the main
canvas (the white space).
I made a small project demonstrating the problem:
1) Normally the legend should hold 2 lines: a red one on the top (it should
be outside the canvas) and, below it a red line (it should be within the
canvas). If this is not the case you may have to tweak the loc=(0,0.95)
parameters to get to this situation.
2) Click on the blue line. Everything is normal: the blue plot goes on and
off on the canvas.
3) Click on the red line. The event handler is called twice, hiding and
unhiding the red plot (visible via the "print" statement in the function)
This makes it impossible to hide the plot.
Thank you for reading,
Tos
The code follows:
import matplotlib.pyplot as plt
fig=plt.figure()
ax = fig.add_subplot(111)
# Plot
p0,=plt.plot([0,1,2,3], 'r')
p1,=plt.plot([3,0,6,2], 'b')
#leg=plt.legend()
#leg = ax.legend(('Sausage length', 'Sauerkraut Vitamin content', 'Total
message length'), 'upper center', shadow=True)
leg = ax.legend(('Sausage length', 'Sauerkraut Vitamin content', 'Total
message length'), loc=(0,0.95), shadow=True)
# we will set up a dict mapping legend line to orig line, and enable
# picking on the legend line
lines = [p0, p1]
lined = dict()
for legline, origline in zip(leg.get_lines(), lines):
legline.set_picker(5) # pts tolerance
lined[legline] = origline
def onpick(event):
print 'in onpick'
# on the pick event, find the orig line corresponding to the
# legend proxy line, and toggle the visibilit
legline = event.artist
origline = lined[legline]
print 'origline=', origline
vis = not origline.get_visible()
origline.set_visible(vis)
print 'vis=', vis
# Change the alpha on the line in the legend so we can see what lines
# have been toggled
if vis:
legline.set_alpha(1.0)
else:
legline.set_alpha(0.2)
fig.canvas.draw()
fig.canvas.mpl_connect('pick_event', onpick)
plt.show()
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