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Is there a way to have the plots created inside Jupyter Notebook using matplotlib to appear on a separate pop-up screen that would allow you to expand/shrink the image by hand? I've tried experimenting with (%matplotlib notebook) but that didn't really do the trick.
Just wondering if this is possible.
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Usually, displaying plots involves using the show() function from PyPlot. With Jupyter notebooks, this isn't necessary as the plots are displayed after running the cells containing the code that generates them. These plots are by default, displayed inline, which means, they're displayed in the notebook itself.
IPython kernel of Jupyter notebook is able to display plots of code in input cells. It works seamlessly with matplotlib library. The inline option with the %matplotlib magic function renders the plot out cell even if show() function of plot object is not called.
Matplotlib is a Python library that is used often with Jupyter Notebook.
Just use an interactive backend. This works for me:
import matplotlib.pyplot as plt
%matplotlib tk
plt.plot([1, 2])
The notebook (nbagg) backend also allows for expand/shrink by hand. It has some rough edges though.
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