stems.io.xarray_ module¶
xarray IO standards and helpers
-
stems.io.xarray_.
open_dataset
(paths, chunks='auto', concat_dim=None, crs=None, **kwds)[source]¶ Open an xarray dataset (somewhat) intelligently
- Parameters
paths (str or List[str]) – Either a string glob in the form “path/to/my/files/*.nc” or an explicit list of files to open.
chunks ('auto', int or dict) – Number of chunks or the chunk size for each dimension. If ‘auto’, reads chunks from first file in
paths
and usesplants.io.chunking_.best_chunksizes()
to guess an appropriate chunksize based on the most frequently used chunksize per dimension. Otherwise, pass chunks ontoxr.open_mfdataset()
.concat_dim (None, str, DataArray or Index, optional) – Dimension to concatenate files along. This argument is passed on to
xarray.auto_combine()
along with the dataset objects. You only need to provide this argument if the dimension along which you want to concatenate is not a dimension in the original datasets, e.g., if you want to stack a collection of 2D arrays along a third dimension. By default, xarray attempts to infer this argument by examining component files. Setconcat_dim=None
explicitly to disable concatenation.crs (rasterio.crs.CRS, int, or str, optional) – Coordinate reference system to assign, if not already georeferenced. If type is not
CRS
, will be converted usingplants.gis.convert.to_crs()
.kwds (optional) – Options passed to
xarray.open_mfdataset()
- Returns
Multi-file dataset
- Return type
- Raises
IOError – Raise if
paths
does not parse into any filenames (e.g., a bad glob)
-
stems.io.xarray_.
xarray_map
(y, x, count, dtype, crs=None, nodata=-9999, dim_band='band')[source]¶ A raster map with
count
bands :param y: Y coordinates :type y: array-like :param x: X coordinates :type x: array-like :param count: Number of bands :type count: int :param dtype: Data type :type dtype: np.dtype :param crs: Optionally, give the raster a CRS :type crs: CRS, optional :param nodata: No Data Value to initialize data with :type nodata: float or int- Returns
3D (band, y, x,) “map” to write data into
- Return type
xr.DataArray