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How to add a shared x-label and y-label to a plot created with Pandas' plot? (Matplotlib)
To add a shared x-label and shared y-label, we can use plot() method with kind="bar", sharex=True and sharey=True.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create a two-dimensional, size-mutable, potentially heterogeneous tabular data.
- Plot the dataframe with kind="bar", sharex=True and sharey=True.
- To display the figure, use show() method.
Example
import pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame( {'First': [0.3, 0.2, 0.5, 0.2], 'Second': [0.1, 0.0, 0.3, 0.1], 'Third': [0.2, 0.5, 0.0, 0.7], 'Fourth': [0.6, 0.3, 0.4, 0.6]}, index=list('1234')) axes = df.plot(kind="bar", subplots=True, layout=(2, 2), sharey=True, sharex=True) plt.show()
Output
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