Attention

This repository has been archived. Please use xarray.DataTree instead.

datatree.DataTree.differentiate#

DataTree.differentiate(coord: Hashable, edge_order: Literal[1, 2] = 1, datetime_unit: DatetimeUnitOptions | None = None) → Self[source]#

Differentiate with the second order accurate central differences.

Note

This feature is limited to simple cartesian geometry, i.e. coord must be one dimensional.

Parameters:

coord (Hashable) – The coordinate to be used to compute the gradient.
edge_order ({1, 2}, default: 1) – N-th order accurate differences at the boundaries.
datetime_unit (None or {"Y", "M", "W", "D", "h", "m", "s", "ms", "us", "ns", "ps", "fs", "as", None}, default: None) – Unit to compute gradient. Only valid for datetime coordinate.

Returns:

differentiated (Dataset)

datatree.DataTree.differentiate