pandas.Series.drop_duplicates — pandas 0.24.2 documentation (original) (raw)
Series. drop_duplicates(keep='first', inplace=False)[source]¶
Return Series with duplicate values removed.
| Parameters: | 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 If True, performs operation inplace and returns None. |
|---|---|
| Returns: | deduplicated : Series |
Examples
Generate an Series with duplicated entries.
s = pd.Series(['lama', 'cow', 'lama', 'beetle', 'lama', 'hippo'], ... name='animal') s 0 lama 1 cow 2 lama 3 beetle 4 lama 5 hippo Name: animal, dtype: object
With the ‘keep’ parameter, the selection behaviour of duplicated values can be changed. The value ‘first’ keeps the first occurrence for each set of duplicated entries. The default value of keep is ‘first’.
s.drop_duplicates() 0 lama 1 cow 3 beetle 5 hippo Name: animal, dtype: object
The value ‘last’ for parameter ‘keep’ keeps the last occurrence for each set of duplicated entries.
s.drop_duplicates(keep='last') 1 cow 3 beetle 4 lama 5 hippo Name: animal, dtype: object
The value False for parameter ‘keep’ discards all sets of duplicated entries. Setting the value of ‘inplace’ to True performs the operation inplace and returns None.
s.drop_duplicates(keep=False, inplace=True) s 1 cow 3 beetle 5 hippo Name: animal, dtype: object