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Simplifying subplots creation in Matplotlib
Infusing Mosaic Magic into Your Plots
Recently, I was working on a project that required creating subplots using the Matplotlib library in Python. If you’ve ever used the Matplotlib library, there’s a high chance you’ve also utilized its subplot functionality. Subplots are an effective tool for generating multiple plots simultaneously, which can be advantageous when comparing results or when multiple plots share identical axes. However, at times the subplot syntax in Matplotlib can be anything but straightforward for many of us, myself included. Achieving the desired layout for the subplots can seem like a game of trial and error, shifting the focus from our actual project.
Hiding in plain sight, really !!
I am aware that the patchwork library in R is adept at handling the creation of subplots. However, I was surprised to discover that Matplotlib had this functionality all along, serving as a potent reminder to read the documentation thoroughly. Intrigued, I decided to delve deeper to broaden my understanding of this feature and relay my experiences and insights to others via a blog post.
