Tom,
Thanks for the code. As it was given, I had to change `blit=True` in the
`FuncAnimation` call in order to get this to work in a regular Qt backend.
It did not work with the nbagg backend; however, if I used this code it
works fine:
%matplotlib nbagg
import numpy as np
import
I just noticed your use of animated=True. I have had trouble using that
in the past with the animation module. It is a leftover from the days
before the animation module and isn't actually used by it, IIRC. Try not
supplying that argument.
On Thu, Apr 16, 2015 at 8:18 AM, Ryan Nelson
Ben,
Sorry. I probably should have just dropped that entirely. In my code
sample, it is actually commented out because it breaks the animation with
the nbagg backend. It was in Tom's example, so I left it in because I
wanted to find out what it was doing.
Ryan
On Thu, Apr 16, 2015 at 9:30 AM,
The 'animated' property is used _deep_ with in `axes.draw` (
https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/axes/_base.py#L2035)
to skip artists with the 'animated' flag set. This makes them play nice
with blitting (which explicitly uses `axes.draw_artist`) so they are not
animation objects have a private _stop() method. That might have to be a
workaround.
On Sun, Apr 12, 2015 at 9:24 AM, Thomas Caswell tcasw...@gmail.com wrote:
You can
```
#import matplotlib
#matplotlib.use('nbagg')
#%matplotlib nbagg
import numpy as np
import matplotlib.pyplot as
Tom,
Thanks for the links. It does seem like fragments of my problem are
addressed in each of those comments, so I guess I'll have to wait for a bit
until those things get resolved. For now, I can just tell my students to
restart the IPython kernel each time they run the animation, which isn't
You can
```
#import matplotlib
#matplotlib.use('nbagg')
#%matplotlib nbagg
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animate
class Testing(object):
def __init__(self, ):
self.fig = plt.figure()
array = np.random.rand(4,5)
