This is the matplotlib version with manual data assignment, which is
probably the most efficient you can make something like this without making
the code a lot uglier and harder to understand. It's the MPL equivalent of
what Sylvain did:
#### Start
%matplotlib inline
import matplotlib.pyplot as plt
import numpy as np
from ipywidgets import interact, FloatSlider
from IPython.display import display
# setup
xs = np.linspace(-3,3,100)
fig, ax = plt.subplots()
line, = ax.plot(xs, xs)
ax.set_xlim(-3, 3)
ax.set_ylim(-1.1, 1.1)
plt.close(fig) # we'll display it manually
# Plot function only updates the data
def myplot(a):
line.set_ydata(np.sin(a*xs))
# we now call the display manually with the new image
display(fig)
interact(myplot, a=FloatSlider(value=1.5, min=-3, max=3, step=0.01));
#### End
Cheers,
f
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