CODEWITHSUNDEEP
pythonmatplotlibjupyter-notebook
Moondra
Moondra

Reputation: 4511

Converting a single dynamic plot into dynamic plot with subplots in jupyter notebook

I have the code below, which works great with a single plot, but I'm trying to create a new plot with 1x2 subplots. The second plot will be identical to the first, just in another subplot. 

# This code works fine as a single plot
%matplotlib inline
import time
import pylab as pl
from IPython import display
for i in range(10):
    pl.clf()
    pl.plot(pl.randn(100))
    display.display(pl.gcf())
    display.clear_output(wait=True)
    time.sleep(1.0)

I'm not familar with pylab, but the above plot runs so smoothly compared to the pyplot code I found on the nex, that I'm trying to figure out how to implement this code with subplots. 

#can't implement it to a plot with subplots
%matplotlib inline
import time
import pylab as pl
from IPython import display
f, (ax1, ax2) = plt.subplots(1, 2, sharey=True, sharex = True, figsize = (10,5))
for i in range(10):
    pl.clf()
    ax1.plot(pl.randn(100),)
    ax2.plot(pl.randn(50))
    display.display(pl.show())
    display.clear_output(wait=True)
    time.sleep(1.0)

However, no graph is being outputted with my attempt. I'm played around with this code, but I can't seem to make it work cleanly.

thank you.

Upvotes: 0

Views: 297

Answers (1)

Andrey Sobolev
Andrey Sobolev

Reputation: 12693

To visualize the plot with subplots, you should know the differences between Figure and Axes in matplotlib. Basically, axes belong to the figure, and you want to plot your data in the axes, but display the figure. Both Figure and Axes instances can be obtained with a single call to pl.subplots(nrow, ncol). See if the code below does what you want:

%matplotlib inline
import time
import pylab as pl
from IPython import display
for i in range(10):
    pl.clf()
    f, ax = pl.subplots(1, 2)
    ax[0].plot(pl.randn(100))
    ax[1].plot(pl.randn(100))
    display.display(f)
    display.clear_output(wait=True)
    time.sleep(1.0)

Upvotes: 1

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