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Shuffle a given Pandas DataFrame rows

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  • Last Updated : 27 Jul, 2021
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Let us see how to shuffle the rows of a DataFrame. We will be using the sample() method of the pandas module to randomly shuffle DataFrame rows in Pandas.

Example 1:

Python3




# import the module
import pandas as pd
   
# create a DataFrame
data = {'Name': ['Mukul', 'Rohan', 'Mayank',
                 'Shubham', 'Aakash'],
        'Class': ['BCA', 'BBA', 'BCA', 'MBA', 'BBA'],
        'Location' : ['Saharanpur', 'Meerut', 'Agra',
                      'Saharanpur', 'Meerut']}
df1 = pd.DataFrame(data)
   
# print the original DataFrame
print("Original DataFrame :")
display(df1)
   
# shuffle the DataFrame rows
df2 = df1.sample(frac = 1)
   
# print the shuffled DataFrame
print("\nAfter Shuffle:")
display(df2)

Output: 

Example 2:

Python3




# import the module
import pandas as pd
   
# create a DataFrame
ODI_runs = {'name': ['Tendulkar', 'Sangakkara', 'Pointing',
                      'Jayasurya', 'Jayawardene', 'Kohli',
                      'Haq', 'Kallis', 'Ganguly', 'Dravid'],
            'runs': [18426, 14234, 13704, 13430, 12650,
                     11867, 11739, 11579, 11363, 10889]}
df1 = pd.DataFrame(ODI_runs)
   
# print the original DataFrame
print("Original DataFrame :")
display(df1)
   
# shuffle the DataFrame rows
df2 = df1.sample(frac = 1)
   
# print the shuffled DataFrame
print("\nAfter Shuffle:")
display(df2)

Output: 


 


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