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Randomly Shuffle DataFrame Rows in Pandas

You can use the following methods to shuffle DataFrame rows:

  1. Using pandas
  1. Using numpy
  1. Using sklearn

Lets create a DataFrame..

pandas.DataFrame.sample()

Shuffling the rows of the Pandas DataFrame using the sample() method with the parameter frac, The frac argument specifies the fraction of rows to return in the random sample.


shuffle dataframe sample

Argument frac=1 means return all rows.

If you wish to shuffle your dataframe in-place and reset the index, you could do e.g.

numpy.random.permutation()

Here, specifying drop=True prevents .reset_index from creating a column containing the old index entries.

sklearn.utils.shuffle()


shuffle dataframe sklearn









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