How to Plot Multiple Series from a Pandas DataFrame?
Last Updated :
28 Nov, 2021
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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
#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
#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:
