pyinterp.OIResult#

class pyinterp.OIResult(value, error, neighbors)[source]#

Bases: object

Result of an Optimal Interpolation analysis at a set of query points.

value#

Analysed field, shape (M,). NaN where insufficient neighbours were found.

Type:

NDArray1DFloat64

error#

Formal error standard deviation, shape (M,). NaN where insufficient neighbours were found.

Type:

NDArray1DFloat64

neighbors#

Number of observations actually used at each query point, shape (M,), uint32.

Type:

NDArray1DUInt32

Attributes

Special Methods

__dataclass_fields__

__dataclass_params__

__eq__(other)

Return self==value.

__match_args__

__replace__(**changes)

__repr__()

Return repr(self).