pandas.DataFrame.drop_duplicates¶

DataFrame.drop_duplicates(self, subset: Union[Hashable, Sequence[Hashable], NoneType] = None, keep: Union[str, bool] = 'first', inplace: bool = False, ignore_index: bool = False) → Union[ForwardRef('DataFrame'), NoneType][source]¶

Return DataFrame with duplicate rows removed.

Considering certain columns is optional. Indexes, including time indexes are ignored.

Parameters

subsetcolumn 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 keep. - first : Drop duplicates except for the first occurrence. - last : Drop duplicates except for the last occurrence. - False : Drop all duplicates.
inplacebool, default False: Whether to drop duplicates in place or to return a copy.
ignore_indexbool, default False: If True, the resulting axis will be labeled 0, 1, …, n - 1.

New in version 1.0.0.

Returns

DataFrame: DataFrame with duplicates removed or None if inplace=True.