bigframes.pandas.DataFrame.duplicated#

DataFrame.duplicated(subset=None, keep: str = 'first') → Series[source]#

Return boolean Series denoting duplicate rows.

Considering certain columns is optional.

Parameters:

• subset (column label or sequence of labels, optional) Only consider certain columns for identifying duplicates, by default use all of the columns.

• keep ({'first', 'last', False}, default 'first')

  Determines which duplicates (if any) to mark.

  • first : Mark duplicates as True except for the first occurrence.

  • last : Mark duplicates as True except for the last occurrence.

  • False : Mark all duplicates as True.

Returns:

Boolean series for each duplicated rows.

Return type:

bigframes.pandas.Series