How to Plot Multiple Series from a Pandas DataFrame? Last Updated : 28 Nov, 2021 Comments Improve Suggest changes Like Article Like Report 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: Comment More infoAdvertise with us Next Article How to Plot Multiple Series from a Pandas DataFrame? 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