#!/usr/bin/env python
# coding: utf-8

# ## Plotting to recall a plot based on SO https://stackoverflow.com/q/76842073/8508004

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import matplotlib.pyplot as plt


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a = range(10)
b = [2**x + 5 for x in a]


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fig = plt.figure(figsize=(2,2))


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ax = fig.add_axes([.1,.1,.8,.8])


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ax.plot(a,b, label='b');


# I didn't think for the next line `plt.show()` would be necessary in modern Jupyter to show the plot as in the demo , but it was needed! Oddd.

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plt.figure(fig);


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plt.figure(fig); plt.show()


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fig


# I suggest addition of the following two options based on using the `.figure` attribure, see [here](https://stackoverflow.com/a/76707536/8508004) and [here](https://stackoverflow.com/a/70707556/8508004) and [here](https://stackoverflow.com/a/73326297/8508004) for more information and examples of `.figure` use (or also the third paragraph [here](https://stackoverflow.com/a/60269307/8508004) where sometimes seaborn, which is built on matplotlib, a bit confusingly, uses `.fig` or `.figure` at times):

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fig.figure


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ax.figure


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