Plotting multiple dataframes using Pandas functionality

To plot multiple dataframes using Pandas functionality, we can take the following steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Create two Pandas dataframes, df1 and df2, of two-dimensional, size-mutable, potentially heterogeneous tabular data.
  • Plot df1 and df2 using plot() method.
  • To display the figure, use show() method.


import pandas as pd
from matplotlib import pyplot as plt

plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True

df1 = pd.DataFrame(
      name=['John', 'James', 'Stephen', 'Kandy'],
      age=[23, 45, 12, 34]

df2 = pd.DataFrame(
      subject=['Math', 'Physics', 'Chemistry', 'Biology'],
      marks=[67, 98, 90, 75]

ax = df1.plot(x='name', y='age')
df2.plot(ax=ax, x='subject', y='marks')


It will produce the following output

Updated on: 22-Sep-2021

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