pandas.SparseArray.map — pandas 0.24.2 documentation (original) (raw)

SparseArray. map(mapper)[source]

Map categories using input correspondence (dict, Series, or function).

Parameters: mapper : dict, Series, callable The correspondence from old values to new.
Returns: SparseArray The output array will have the same density as the input. The output fill value will be the result of applying the mapping to self.fill_value

Examples

arr = pd.SparseArray([0, 1, 2]) arr.apply(lambda x: x + 10) [10, 11, 12] Fill: 10 IntIndex Indices: array([1, 2], dtype=int32)

arr.apply({0: 10, 1: 11, 2: 12}) [10, 11, 12] Fill: 10 IntIndex Indices: array([1, 2], dtype=int32)

arr.apply(pd.Series([10, 11, 12], index=[0, 1, 2])) [10, 11, 12] Fill: 10 IntIndex Indices: array([1, 2], dtype=int32)