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')