Attention
This repository has been archived. Please use xarray.DataTree instead.
datatree.DataTree.transpose#
- DataTree.transpose(*dim: Hashable, missing_dims: ErrorOptionsWithWarn = 'raise') Self[source]#
Return a new Dataset object with all array dimensions transposed.
Although the order of dimensions on each array will change, the dataset dimensions themselves will remain in fixed (sorted) order.
- Parameters:
*dim (hashable, optional) – By default, reverse the dimensions on each array. Otherwise, reorder the dimensions to this order.
missing_dims (
{"raise", "warn", "ignore"}, default:"raise") – What to do if dimensions that should be selected from are not present in the Dataset: - “raise”: raise an exception - “warn”: raise a warning, and ignore the missing dimensions - “ignore”: ignore the missing dimensions
- Returns:
transposed (
Dataset) – Each array in the dataset (including) coordinates will be transposed to the given order.
Notes
This operation returns a view of each array’s data. It is lazy for dask-backed DataArrays but not for numpy-backed DataArrays – the data will be fully loaded into memory.
See also
numpy.transpose,DataArray.transpose