![]() The axis1 is a variable that stores the first subplot, which means we want to share the x-axis of the second subplot with the first subplot. In this subplot() method we passed axis1 to the sharex parameter. In our case, we just set it for the x-axis. The tick_params() method sets ticks to a given axis. import matplotlib.pyplot as pltĬreate data for x and y values, then we subplot for "311" where "3" is a row and "1" is a column. Firstly, we need to import the required libraries. Now, let’s write the code and see the explanation shortly. The axes will follow through the toolbar in their shared axes when you navigate through the toolbar. We have one axis to share the x-axis, so sharex will equal that you could share with a defined subplot.Ĭhanging the axis limits to one axis will be automatically seen in the other, and vice versa. We’re going to be defining our plots, and it doesn’t matter which one we share the axes with, but it makes sense if we are defining a subplot in "311" order. Share Axes From Multiple Subplots With sharex Parameter ![]() Using these arguments will help you specify a plotting cell, and we can adjust the plotting place in descending order. The c argument represents a column, and the i argument is the index of the plot. The first one represents the row, the second one represents the column, and the third argument represents the index. ![]() This subplot() function takes these three arguments. ![]() That’s why we can have multiple plots in one figure. The subplot() function represents multiple plots in a single figure where we draw the plots in the same figure. We’ll also explain how to share axes from multiple subplots using the sharex parameter Matplotlib. This session will discuss the subplot() function and sharing axes. Share Axes From Multiple Subplots With sharex Parameter. ![]()
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