#Python matplotlib subplot code

This is how many rows and columns the axis will span. Next, we can optionally specify a rowspan and colspan. For ax1, this is 0,0, so it will start at the top. The next tuple is the starting point of the top left corner. We do (6,1), which means 6 tall and 1 wide. So, subplot2grid works by passing first a tuple, which is the grid shape. So, add_subplot doesn't give us the option to make a plot cover multiple positions. Next, let's cover the other method, which is subplot2grid.

Try to think of some configurations that you think could be interesting, then try to create them with add_subplot until you feel comfortable. If you're having trouble visualizing this, see the video, as we also explain this works in paint, which should help if you're confused. Finally, 212 is a 2 tall, 1 wide, plot number 1. 222 is 2 tall, 2 wide, and plot number 2. So, a 221 means 2 tall, 2 wide, plot number 1. The way that this works is with 3 numbers, which are: height, width, plot number. Now, we're going to start with the add_subplot method of creating subplots: ax1 = fig.add_subplot(221)

#Python matplotlib subplot code

If you're following along linearly, then make sure to keep the old code on hand, or you can always revisit the previous tutorial for the code again.įirst, let's create our figure, use a style, create our figure, and then create a function that randomly creates example plots: import random For now, we'll start with a clean slate of code.

There are two major ways to handle for subplots, which are used to create multiple charts on the same figure. In this Matplotlib tutorial, we're going to be discussion subplots.