#Jupyter matplotlib subplot size how to#

Slow Guide to Creating the Matplotlib Figure add_subplot(), to change the size of each subplot by simply exploiting Python indexing and slicing. add_gridspec() results to be more time-consuming for just creating multiple subplots of the same size but, it constitutes a powerful solution when we want to change the size of individual subplots.Īfter subdividing the space in a grid-like fashion, you can use the method. subplots() method is really practical for creating multiple subplots but it is not able to access and change the size of these subplots.

#Jupyter matplotlib subplot size how to#

In the following example, I’ll show you how to use the figsize argument of the plt.subplots() method to change the size of a subplot: import matplotlib.pyplot as pltįig, ax = plt.subplots(2, 2, figsize=(8,6))

This is useful for tailoring the layout of your graphs and data presentations according to the relevance that you want to assign to each subplot. In the next sections, you’ll learn how to change the size of each individual subplot. To change the size of subplots in Matplotlib, use the plt.subplots() method with the figsize parameter (e.g., figsize=(8,6)) to specify one size for all subplots - unit in inches - and the gridspec_kw parameter (e.g., gridspec_kw=)

But as you may have already noticed, all the subplots have the exact same size and moreover, their size will be adjusted automatically, depending on how many of them you want to display in the same figure. subplots() can easily generate multiple subplots within the same plotting figure. How to change the size of your matplotlib subplots?