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.
Example
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( dict( name=['John', 'James', 'Stephen', 'Kandy'], age=[23, 45, 12, 34] ) ) df2 = pd.DataFrame( dict( 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') plt.show()
Output
It will produce the following output