pandas.Index.drop_duplicates — pandas 0.24.0rc1 documentation (original) (raw)
Index. drop_duplicates(keep='first')[source]¶
Return Index 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. |
|---|---|
| Returns: | deduplicated : Index |
Examples
Generate an pandas.Index with duplicate values.
idx = pd.Index(['lama', 'cow', 'lama', 'beetle', 'lama', 'hippo'])
The keep parameter controls which duplicate values are removed. The value ‘first’ keeps the first occurrence for each set of duplicated entries. The default value of keep is ‘first’.
idx.drop_duplicates(keep='first') Index(['lama', 'cow', 'beetle', 'hippo'], dtype='object')
The value ‘last’ keeps the last occurrence for each set of duplicated entries.
idx.drop_duplicates(keep='last') Index(['cow', 'beetle', 'lama', 'hippo'], dtype='object')
The value False discards all sets of duplicated entries.
idx.drop_duplicates(keep=False) Index(['cow', 'beetle', 'hippo'], dtype='object')