# How to Plot Multiple Series from a Pandas DataFrame?

• Last Updated : 28 Nov, 2021

In this article, we will discuss how to plot multiple series from a dataframe in pandas.

Series is the range of the data  that include integer points we cab plot in pandas dataframe by using plot() function

Syntax:

`matplotlib.pyplot(dataframe['column_name'])`

We can place n number of series and we have to call the show() function to display the plot

Example 1: Python code to create four dataframes and plot

## Python3

 `#import matplotlib ` `import` `matplotlib.pyplot as plt ` ` `  `# import pandas module ` `import` `pandas as pd ` ` `  `# create a dataframe with four columns ` `data ``=` `pd.DataFrame({``'data1'``: [``1``, ``2``, ``3``, ``4``, ``21``],  ` `                     ``'data2'``: [``6``, ``7``, ``8``, ``9``, ``10``],  ` `                     ``'data3'``: [``11``, ``23``, ``21``, ``45``, ``67``], ` `                     ``'data4'``: [``22``, ``33``, ``45``, ``34``, ``56``]}) ` ` `  `# plot one by one ` `plt.plot(data[``'data1'``]) ` `plt.plot(data[``'data2'``]) ` `plt.plot(data[``'data3'``]) ` `plt.plot(data[``'data4'``]) ` ` `  `# set y label ` `plt.ylabel(``'Distance'``) ` ` `  `# set x label ` `plt.xlabel(``'Time'``) ` ` `  `# set title ` `plt.title(``'Travelling'``) ` ` `  `# display plot ` `plt.show() `

Output:

Example 2: Plot with two columns from the dataframe

## Python3

 `#import matplotlib ` `import` `matplotlib.pyplot as plt ` ` `  `# import pandas module ` `import` `pandas as pd ` ` `  `# create a dataframe with two columns ` `data ``=` `pd.DataFrame({``'data1'``: [``1``, ``2``, ``3``, ``4``, ``21``], ` `                     ``'data2'``: [``6``, ``7``, ``8``, ``9``, ``10``]}) ` ` `  `# plot one by one ` `plt.plot(data[``'data1'``]) ` `plt.plot(data[``'data2'``]) ` ` `  `# set y label ` `plt.ylabel(``'Distance'``) ` ` `  `# set x label ` `plt.xlabel(``'Time'``) ` ` `  `# set title ` `plt.title(``'Travelling'``) ` ` `  `# display plot ` `plt.show() `

Output:

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