pandas.SparseArray.map

SparseArray.map(mapper)

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)