pandas.api.extensions.ExtensionArray._accumulate#

ExtensionArray._accumulate(name, *, skipna=True, **kwargs)[source]#

Return an ExtensionArray performing an accumulation operation.

The underlying data type might change.

Parameters:

namestr: Name of the function, supported values are: - cummin - cummax - cumsum - cumprod
skipnabool, default True: If True, skip NA values.
**kwargs: Additional keyword arguments passed to the accumulation function. Currently, there is no supported kwarg.

Returns:

Raises:

See also

api.extensions.ExtensionArray._concat_same_type: Concatenate multiple array of this dtype.
api.extensions.ExtensionArray.view: Return a view on the array.
api.extensions.ExtensionArray._explode: Transform each element of list-like to a row.

Examples

>>> arr = pd.array([1, 2, 3])
>>> arr._accumulate(name="cumsum")
<IntegerArray>
[1, 3, 6]
Length: 3, dtype: Int64