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How do I plot multiple X or Y axes in Matplotlib?
To plot multiple X or Y axis, we can use twinx() or twiny() methods, we can take the following Steps −
Using subplots() method, create a figure and a set of subplots.
Plot [1, 2, 3, 4, 5] data points on the left Y-axis scales.
Using twinx() method, create a twin of Axes with a shared X-axis but independent Y-axis, ax2.
Plot [11, 12, 31, 41, 15] data points on the right Y-axis scale, with blue color.
Using tight_layout() method, adjust the padding between and around the subplots.
To display the figure, use show() method.
Example
import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax1 = plt.subplots() ax1.plot([1, 2, 3, 4, 5], color='red') ax2 = ax1.twinx() ax2.plot([11, 12, 31, 41, 15], color='blue') fig.tight_layout() plt.show()
Output
Updated on: 15-May-2021
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