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Stuffing a Pandas DataFrame.plot into a Matplotlib subplot

To stuff a Pandas dataframe plot into a Matplotlib subplot, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Create a figure and a set of subplots, two axes.
  • Create a Pandas dataframe using DataFrame.
  • Use DataFrame.plot() method to plot.
  • 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

fig, (ax1, ax2) = plt.subplots(2)
df = pd.DataFrame(dict(name=["Joe", "James", "Jack"], age=[23, 34, 26]))

df.set_index("name").plot(ax=ax1)
df.set_index("name").plot(ax=ax2)

plt.show()

Output

Stuffing a Pandas DataFrame.plot into a Matplotlib subplot