maxframe.dataframe.DataFrame.drop_duplicates#
- DataFrame.drop_duplicates(subset=None, keep='first', inplace=False, ignore_index=False, method='auto')#
Return DataFrame with duplicate rows removed.
Considering certain columns is optional. Indexes, including time indexes are ignored.
- 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 keep. -
first: Drop duplicates except for the first occurrence. -last: Drop duplicates except for the last occurrence. -any: Drop duplicates except for a random occurrence. - False : Drop all duplicates.inplace (bool, default False) – Whether to drop duplicates in place or to return a copy.
ignore_index (bool, default False) – If True, the resulting axis will be labeled 0, 1, …, n - 1.
- Returns:
DataFrame with duplicates removed or None if
inplace=True.- Return type: