![]() In the next post, we are going to find the way to customize legend, ticks and colorbar in OO style. We have seen the different ways of creating multiple subplots. You can locate the subplots where you want in rows and columns. In the following example, you can find the three ways to create variable grid spec multiple subplots. Multiple Subplots with Variable Grid Specs To avoid a confusion when you make multiple subplots, I recommend to use OO style creation.ī. The OO style codes use plt.subplots(), fig.add_subplot() and fig.add_axes() methods, while MATLAB style codes use plt.subplot(). I will compare the MATLAB style codes and OO style codes of creating multiple subplots here. However, I am not able to display different x-axis time range through locators and formatters. ![]() I would like to plot a unique subplot for each different year, and want my locators and formatters to show year and months on the x-axis. In this post I will introduce the way of creating multiple subplots. matplotlib set locator for different subplots. In the previous post, I explained the basic objects of object-oriented APIs and showed how to create subplots by using several methods. The main references are come from the official matplotlib website, “” and the book, 『Python Data Science Handbook: Essential Tools for Working with Data, Jake VanderPlas, O’REILLY, 2017』. That explains why we should use that way and how to code like that. I would like to post a series of articles about object-oriented way of using matplotlib. Object-oriented way of using matplotlib – 6.Object-oriented way of using matplotlib – 5. ![]() Object-oriented way of using matplotlib – 4.Object-oriented way of using matplotlib – 3. ![]()
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