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Randomly selecting n columns from a DataFrame
schedule Aug 12, 2023
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Tags Python●Pandas
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To randomly select n columns from a DataFrame, use the DataFrame's sample(~) method.
Examples
Consider the following DataFrame:
df = pd.DataFrame({"A":[2,3],"B":[4,5],"C":[6,7],"D":[8,9]})df
A B C D0 2 4 6 81 3 5 7 9
To get 2 columns randomly from df:
df.sample(n=2, axis=1)
D B0 8 41 9 5
Note that a new copy is returned, that is, modifying the returned DataFrame will not mutate the source DataFrame.
Related
Randomly selecting n rows from a DataFrame
To select n rows from a DataFrame randomly, use the DataFrame's sample(~) method.
Pandas DataFrame | sample method
Returns the specified number of rows or columns randomly.
Published by Isshin Inada
Edited by 0 others
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