The Coolest Matplotlib Hack to Create Subplots Intuitively

This has to be the coolest thing I have ever learned about Matplotlib.

We mostly use plt.subplots() method to create subplots using Matplotlib.

But this, at times, gets pretty tedious and cumbersome. For instance:

• it offers limited flexibility to create a custom layout.

• it is prone to indexing errors, and more.

Instead, use the plt.subplot_mosaic() method.

Here, you can create a plot of any desired layout by defining the plot structure as a string.

For instance, the string layout:

• AB

• AC

will create three subplots, wherein:

• subplot "A" will span the full first column

• subplot "B" will span the top half of the second column

• subplot "C" will span the bottom half of the second column

Next, create a subplot in a specific region by indexing the axes dictionary with its subplot key ("A", "B", or "C").

Isn't that super convenient and cool?

Read more: Matplotlib Docs.

Over to you: What are some cool Matplotlib hacks that you know of? Let me know :)

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Find the code for my tips here: GitHub.

I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.