decode.utils module#
- mad(da: DataArray, dim: str | Collection[Hashable] | ellipsis | None = None, skipna: bool | None = None, keep_attrs: bool | None = None, **kwargs: Any) DataArray[source]#
Calculate the median absolute deviation (MAD) of a DataArray.
- Parameters:
da (DataArray) – Input DataArray.
dim (str | Collection[Hashable] | ellipsis | None) – Name of dimension(s) along which the MAD is calculated.
skipna (bool | None) – Same-name option to be passed to
DataArray.median.keep_attrs (bool | None) – Same-name option to be passed to
DataArray.median.kwargs (Any) – Same-name option(s) to be passed to
DataArray.median.
- Returns:
The MAD of the input DataArray.
- Return type:
DataArray
- phaseof(da: DataArray, /, *, keep_attrs: bool = False, keep_coords: bool = False) DataArray[source]#
Assign a phase to each value in a 1D DataArray.
The function assigns a unique phase (int64) to consecutive identical values in the DataArray. The phase increases sequentially whenever the value in the DataArray changes.
- Parameters:
da (DataArray) – Input 1D DataArray.
keep_attrs (bool) – Whether to keep attributes of the input.
keep_coords (bool) – Whether to keep coordinates of the input.
- Returns:
1D int64 DataArray of phases.
- Return type:
DataArray