pandas.Index.where#

final Index.where(cond, other=None)[source]#

Replace values where the condition is False.

The replacement is taken from other.

Parameters:

condbool array-like with the same length as self: Condition to select the values on.
otherscalar, or array-like, default None: Replacement if the condition is False.

Returns:

pandas.Index: A copy of self with values replaced from other where the condition is False.

See also

Series.where: Same method for Series.
DataFrame.where: Same method for DataFrame.

Examples

>>> idx = pd.Index(["car", "bike", "train", "tractor"])
>>> idx
Index(['car', 'bike', 'train', 'tractor'], dtype='object')
>>> idx.where(idx.isin(["car", "train"]), "other")
Index(['car', 'other', 'train', 'other'], dtype='object')