ndpyramid.pyramid_regrid

ndpyramid.pyramid_regrid(ds: Dataset, projection: Literal['web-mercator', 'equidistant-cylindrical'] = 'web-mercator', target_pyramid: DataTree | None = None, levels: int | None = None, weights_pyramid: DataTree | None = None, method: str = 'bilinear', regridder_kws: dict | None = None, regridder_apply_kws: dict | None = None, other_chunks: dict | None = None, pixels_per_tile: int = 128) → DataTree

Make a pyramid using xesmf’s regridders

Parameters

dsxr.Dataset

Input dataset

projectionstr, optional

Projection to use for the grid, by default ‘web-mercator’

target_pyramiddt.DataTree, optional

Target grids, if not provided, they will be generated, by default None

levelsint, optional

Number of levels in pyramid, by default None

weights_pyramiddt.DataTree, optional

pyramid containing pregenerated weights

methodstr, optional

Regridding method. See Regridder for valid options, by default ‘bilinear’

regridder_kwsdict

Keyword arguments to pass to regridder. Default is {‘periodic’: True}

regridder_apply_kwsdict

Keyword arguments such as keep_attrs, skipna, na_thres to pass to __call__(). Default is None

other_chunksdict

Chunks for non-spatial dims to pass to chunk(). Default is None

pixels_per_tileint, optional

Number of pixels per tile, by default 128

Returns

pyramiddt.DataTree

Multiscale data pyramid