pandas.Index.drop

Index.drop(labels, errors='raise')[source]

Make new Index with passed list of labels deleted.

Parameters:

labels:array-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')