I am plotting data in a plot using wxPython where the data limits on the y- axis are changing with the data. I would like to change the axis dynamically without redrawing the whole canvas like canvas.draw()
rather I'd like to use blitting
for this as I do for the plot itself.
What I got to work is the changing y-axis, and I get the yticks animated with the plot, unfortunately the ylabels are gone and I cant find the solution. The reason is setting the get_yaxis().set_animated(True)
setting for the axis.
I put together a little working example in the following. What am I missing here?
import matplotlib
matplotlib.use('WXAgg')
import wx
import pylab as p
import numpy as npy
from time import sleep
ax = p.subplot(111)
canvas = ax.figure.canvas
x = npy.arange(0,2*npy.pi,0.01)
line, = p.plot(x, npy.sin(x), animated=True)
ax.get_yaxis().set_animated(True)
def update_line(*args):
if update_line.background is None:
update_line.background = canvas.copy_from_bbox(ax.bbox)
for i in range(20):
canvas.restore_region(update_line.background)
line.set_ydata((i/10.0)*npy.sin(x))
ax.set_ylim(-1*i/5.0-0.5,i/5.0+0.5)
ax.draw_artist(ax.get_yaxis())
ax.draw_artist(line)
canvas.blit(ax.bbox)
sleep(0.1)
print 'end'
update_line.cnt = 0
update_line.background = None
wx.EVT_IDLE(wx.GetApp(), update_line)
p.show()
Basically I am looking for something like get_ylabels().set_animated(True)
but I cant find it.