hydromt.DataArray.raster.interpolate_na#
- DataArray.raster.interpolate_na(method: str = 'nearest', extrapolate: bool = False, **kwargs)#
Interpolate missing data.
- Parameters:
method (
{'linear', 'nearest', 'cubic', 'rio_idw'}
, optional) – {‘linear’, ‘nearest’, ‘cubic’} usescipy.interpolate.griddata()
; ‘rio_idw’ applies inverse distance weighting based onrasterio.fill.fillnodata()
. Default is ‘nearest’.extrapolate (
bool
, optional) – If True, extrapolate data at remaining nodata cells after interpolation based on nearest neighbor.**kwargs – Additional key-word arguments are passed to
rasterio.fill.fillnodata()
, only used in combination with method=’rio_idw’
- Returns:
Filled object
- Return type: