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Shuffle a given Pandas DataFrame rows
  • Last Updated : 17 Aug, 2020

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 :

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# 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) 

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Output :

Example 2 :

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# import the module
import pandas as pd 
    
# create a DataFrame 
ODI_runs = {'name': ['Tendulkar', 'Sangakkara', 'Ponting'
                      '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) 

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Output :

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