On Saturday, January 14, 2017 at 9:55:31 AM UTC-5, Sylvain Corlay wrote:
The problem is that the rendering logic for matplotlib resides in the
> backend. I would recommand using the "notebook" backend for matplotlib
> which should improve the situation.
>
> Or you can use a plotting library for the notebook such as bqplot.
>
Thanks! the notebook backend seemed much worse. bqplot seems very new and,
I'm guessing that it will be the way to work with 2D graphics in the
notebook. For the record, I was able to piece together the following after
a little fiddling:
import numpy as np
from bqplot import pyplot as plt
from ipywidgets import interact, FloatSlider
fig = plt.figure(1)
def myplot(a):
xs = np.linspace(-3,3,100)
ys = np.sin(a*xs)
if fig.marks == []:
plt.plot(xs,ys)
else:
fig.marks[0].y = ys
demo = interact(myplot, a=FloatSlider(value=1, min=-3, max=3, step=0.01))
plt.ylim(-1.1,1.1)
plt.show()
This seems to work quite well.
Thanks again!
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