In the previous post, I explained the basic objects of object-oriented APIs and showed how to create subplots by using several methods. In this post I will introduce the way of creating multiple subplots.
The main references are come from the official matplotlib website, “matplotlib.org” and the book, 『Python Data Science Handbook: Essential Tools for Working with Data, Jake VanderPlas, O’REILLY, 2017』.
4. Multiple Subplots
a. Multiple Subplots
I will compare the MATLAB style codes and OO style codes of creating multiple subplots here. The OO style codes use plt.subplots(), fig.add_subplot() and fig.add_axes() methods, while MATLAB style codes use plt.subplot(). That’s a bit cumbersome. To avoid a confusion when you make multiple subplots, I recommend to use OO style creation.
The full source code is here. [Link]
b. Multiple Subplots with Variable Grid Specs
In the following example, you can find the three ways to create variable grid spec multiple subplots. Three ways are:
- fig.add_subplot()
- fig.add_axes()
- fig.add_subplot() by using GridSpec
You can locate the subplots where you want in rows and columns.
The full source code is here. [Link]
We have seen the different ways of creating multiple subplots. In the next post, we are going to find the way to customize legend, ticks and colorbar in OO style.