DataFrame.
drop_duplicates
Return DataFrame with duplicate rows removed.
Considering certain columns is optional. Indexes, including time indexes are ignored.
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. - False : Drop all duplicates.
first
last
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.
DataFrame with duplicates removed or None if inplace=True.
inplace=True
DataFrame