DataFrame.drop_duplicates(self, subset=None, keep='first', inplace=False)[source]

Return DataFrame with duplicate rows removed, optionally only considering certain columns. 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’
  • first : Drop duplicates except for the first occurrence.
  • last : Drop duplicates except for the last occurrence.
  • False : Drop all duplicates.
inplace : boolean, default False

Whether to drop duplicates in place or to return a copy

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