hydromt.workflows.grid.grid_from_rasterdataset#
- hydromt.workflows.grid.grid_from_rasterdataset(grid_like: DataArray | Dataset, ds: DataArray | Dataset, variables: List | None = None, fill_method: str | None = None, reproject_method: List | str | None = 'nearest', mask_name: str | None = 'mask', rename: Dict | None = None) Dataset[source]#
Prepare data by resampling ds to grid_like.
If raster is a dataset, all variables will be added unless
variableslist is specified.- Parameters:
grid_like (
xr.DataArray,xr.Dataset) – Grid to copy metadata from.ds (
xr.DataArray,xr.Dataset) – Dataset with raster data.variables (
list, optional) – List of variables to add to grid from raster_fn. By default all.fill_method (
str, optional) – If specified, fills nodata values using fill_nodata method. Available methods are {‘linear’, ‘nearest’, ‘cubic’, ‘rio_idw’}.reproject_method (
list,str, optional) – See rasterio.warp.reproject for existing methods, by default ‘nearest’. Can provide a list corresponding tovariables.mask_name (
str, optional) – Name of mask in self.grid to use for masking raster_fn. By default ‘mask’. Use None to disable masking.rename (
dict, optional) – Dictionary to rename variable names in raster_fn before adding to grid {‘name_in_raster_fn’: ‘name_in_grid’}. By default empty.
- Returns:
ds_out – Dataset with data from ds resampled to grid_like
- Return type:
xr.Dataset