pandas.Index.drop#
- Index.drop(labels, errors='raise')[source]#
Make new Index with passed list of labels deleted.
- Parameters:
- labelsarray-like or scalar
- errors{‘ignore’, ‘raise’}, default ‘raise’
If ‘ignore’, suppress error and existing labels are dropped.
- Returns:
- Index
Will be same type as self, except for RangeIndex.
- Raises:
- KeyError
If not all of the labels are found in the selected axis
Examples
>>> idx = pd.Index(['a', 'b', 'c']) >>> idx.drop(['a']) Index(['b', 'c'], dtype='object')