Pandas – How to shuffle a DataFrame rows
Let us see how to shuffle the rows of a DataFrame. We will be using the sample() method of the pandas module to to randomly shuffle DataFrame rows in Pandas.
Algorithm :
- Import the
pandasandnumpymodules. - Create a DataFrame.
- Shuffle the rows of the DataFrame using the
sample()method with the parameterfracas 1, it determines what fraction of total instances need to be returned. - Print the original and the shuffled DataFrames.
# import the modules import pandas as pd import numpy as np # 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]} df = pd.DataFrame(ODI_runs) # print the original DataFrame print("Original DataFrame :") print(df) # shuffle the DataFrame rows df = df.sample(frac = 1) # print the shuffled DataFrame print("\nShuffled DataFrame:") print(df) |
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Output :
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