pandas.Index.drop

Index.drop(labels, errors='raise')

Make new Index with passed list of labels deleted.

Parameters:

labelsarray-like or scalar

Array-like object or a scalar value, representing the labels to be removed from the Index.

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

See also

Index.dropna

Return Index without NA/NaN values.

Index.drop_duplicates

Return Index with duplicate values removed.

Examples

>>> idx = pd.Index(["a", "b", "c"])
>>> idx.drop(["a"])
Index(['b', 'c'], dtype='object')