hydromt.DataArray.raster.interpolate_na#
- DataArray.raster.interpolate_na(method: str = 'nearest', **kwargs)#
Interpolate missing data
- Parameters:
method ({'linear', 'nearest', 'cubic', 'rio_idw'}, optional) – {‘linear’, ‘nearest’, ‘cubic’} use
scipy.interpolate.griddata(); ‘rio_idw’ applies inverse distance weighting based onrasterio.fill.fillnodata().**kwargs – Additional key-word arguments are passed to
rasterio.fill.fillnodata(), only used in combination with method=’rio_idw’
- Returns:
Filled object
- Return type: