ndpyramid.pyramid_reproject

ndpyramid.pyramid_reproject(ds: Dataset, *, projection: Literal['web-mercator', 'equidistant-cylindrical'] = 'web-mercator', levels: int | None = None, pixels_per_tile: int = 128, other_chunks: dict | None = None, resampling: str | dict = 'average', extra_dim: str | None = None, clear_attrs: bool = False) → DataTree

Create a multiscale pyramid of a dataset via reprojection.

Parameters

dsxarray.Dataset

The dataset to create a multiscale pyramid of.

projectionstr, optional

The projection to use. Default is ‘web-mercator’.

levelsint, optional

The number of levels to create. If None, the number of levels is determined by the number of tiles in the dataset.

pixels_per_tileint, optional

Number of pixels per tile, by default 128

other_chunksdict

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

resamplingstr or dict, optional

Rasterio warp resampling method to use. Default is ‘average’. If a dict, keys are variable names and values are warp resampling methods.

extra_dimstr, optional

The name of the extra dimension to iterate over. Default is None.

clear_attrsbool, False

Clear the attributes of the DataArrays within the multiscale pyramid. Default is False.

Returns

dt.DataTree

The multiscale pyramid.