Switch all methods to dim

doc/whats-new.rst

@@ -73,6 +73,10 @@ Internal Changes
   ``xarray/testing/assertions`` for ``DataTree``. (:pull:`8967`)
   By `Owen Littlejohns <https://github.com/owenlittlejohns>`_ and
   `Tom Nicholas <https://github.com/TomNicholas>`_.
+- ``transpose``, ``set_dims``, ``stack`` & ``unstack`` now use a ``dim`` kwarg
+  rather than ``dims`` or ``dimensions``. This is the final change to make xarray methods
+  consistent with their use of ``dim``. Using the existing kwarg will raise a
+  warning. By `Maximilian Roos <https://github.com/max-sixty>`_
 
 
 .. _whats-new.2024.03.0:

xarray/core/dataarray.py

@@ -3,6 +3,7 @@
 import datetime
 import warnings
 from collections.abc import Hashable, Iterable, Mapping, MutableMapping, Sequence
+from functools import partial
 from os import PathLike
 from typing import (
     TYPE_CHECKING,
@@ -2808,12 +2809,13 @@ def reorder_levels(
         ds = self._to_temp_dataset().reorder_levels(dim_order, **dim_order_kwargs)
         return self._from_temp_dataset(ds)
 
+    @partial(deprecate_dims, old_name="dimensions")
     def stack(
         self,
-        dimensions: Mapping[Any, Sequence[Hashable]] | None = None,
+        dim: Mapping[Any, Sequence[Hashable]] | None = None,
         create_index: bool | None = True,
         index_cls: type[Index] = PandasMultiIndex,
-        **dimensions_kwargs: Sequence[Hashable],
+        **dim_kwargs: Sequence[Hashable],
     ) -> Self:
         """
         Stack any number of existing dimensions into a single new dimension.
@@ -2823,7 +2825,7 @@ def stack(
 
         Parameters
         ----------
-        dimensions : mapping of Hashable to sequence of Hashable
+        dim : mapping of Hashable to sequence of Hashable
             Mapping of the form `new_name=(dim1, dim2, ...)`.
             Names of new dimensions, and the existing dimensions that they
             replace. An ellipsis (`...`) will be replaced by all unlisted dimensions.
@@ -2837,9 +2839,9 @@ def stack(
         index_cls: class, optional
             Can be used to pass a custom multi-index type. Must be an Xarray index that
             implements `.stack()`. By default, a pandas multi-index wrapper is used.
-        **dimensions_kwargs
-            The keyword arguments form of ``dimensions``.
-            One of dimensions or dimensions_kwargs must be provided.
+        **dim_kwargs
+            The keyword arguments form of ``dim``.
+            One of dim or dim_kwargs must be provided.
 
         Returns
         -------
@@ -2874,10 +2876,10 @@ def stack(
         DataArray.unstack
         """
         ds = self._to_temp_dataset().stack(
-            dimensions,
+            dim,
             create_index=create_index,
             index_cls=index_cls,
-            **dimensions_kwargs,
+            **dim_kwargs,
         )
         return self._from_temp_dataset(ds)
 
@@ -3011,17 +3013,18 @@ def to_unstacked_dataset(self, dim: Hashable, level: int | Hashable = 0) -> Data
         # unstacked dataset
         return Dataset(data_dict)
 
+    @deprecate_dims
     def transpose(
         self,
-        *dims: Hashable,
+        *dim: Hashable,
         transpose_coords: bool = True,
         missing_dims: ErrorOptionsWithWarn = "raise",
     ) -> Self:
         """Return a new DataArray object with transposed dimensions.
 
         Parameters
         ----------
-        *dims : Hashable, optional
+        *dim : Hashable, optional
             By default, reverse the dimensions. Otherwise, reorder the
             dimensions to this order.
         transpose_coords : bool, default: True
@@ -3049,13 +3052,13 @@ def transpose(
         numpy.transpose
         Dataset.transpose
         """
-        if dims:
-            dims = tuple(infix_dims(dims, self.dims, missing_dims))
-        variable = self.variable.transpose(*dims)
+        if dim:
+            dim = tuple(infix_dims(dim, self.dims, missing_dims))
+        variable = self.variable.transpose(*dim)
         if transpose_coords:
             coords: dict[Hashable, Variable] = {}
             for name, coord in self.coords.items():
-                coord_dims = tuple(dim for dim in dims if dim in coord.dims)
+                coord_dims = tuple(d for d in dim if d in coord.dims)
                 coords[name] = coord.variable.transpose(*coord_dims)
             return self._replace(variable, coords)
         else:

xarray/core/dataset.py

@@ -17,6 +17,7 @@
     MutableMapping,
     Sequence,
 )
+from functools import partial
 from html import escape
 from numbers import Number
 from operator import methodcaller
@@ -124,7 +125,7 @@
 from xarray.namedarray.parallelcompat import get_chunked_array_type, guess_chunkmanager
 from xarray.namedarray.pycompat import array_type, is_chunked_array
 from xarray.plot.accessor import DatasetPlotAccessor
-from xarray.util.deprecation_helpers import _deprecate_positional_args
+from xarray.util.deprecation_helpers import _deprecate_positional_args, deprecate_dims
 
 if TYPE_CHECKING:
     from dask.dataframe import DataFrame as DaskDataFrame
@@ -5264,12 +5265,13 @@ def _stack_once(
             new_variables, coord_names=new_coord_names, indexes=indexes
         )
 
+    @partial(deprecate_dims, old_name="dimensions")
     def stack(
         self,
-        dimensions: Mapping[Any, Sequence[Hashable | ellipsis]] | None = None,
+        dim: Mapping[Any, Sequence[Hashable | ellipsis]] | None = None,
         create_index: bool | None = True,
         index_cls: type[Index] = PandasMultiIndex,
-        **dimensions_kwargs: Sequence[Hashable | ellipsis],
+        **dim_kwargs: Sequence[Hashable | ellipsis],
     ) -> Self:
         """
         Stack any number of existing dimensions into a single new dimension.
@@ -5279,7 +5281,7 @@ def stack(
 
         Parameters
         ----------
-        dimensions : mapping of hashable to sequence of hashable
+        dim : mapping of hashable to sequence of hashable
             Mapping of the form `new_name=(dim1, dim2, ...)`. Names of new
             dimensions, and the existing dimensions that they replace. An
             ellipsis (`...`) will be replaced by all unlisted dimensions.
@@ -5295,9 +5297,9 @@ def stack(
         index_cls: Index-class, default: PandasMultiIndex
             Can be used to pass a custom multi-index type (must be an Xarray index that
             implements `.stack()`). By default, a pandas multi-index wrapper is used.
-        **dimensions_kwargs
-            The keyword arguments form of ``dimensions``.
-            One of dimensions or dimensions_kwargs must be provided.
+        **dim_kwargs
+            The keyword arguments form of ``dim``.
+            One of dim or dim_kwargs must be provided.
 
         Returns
         -------
@@ -5308,9 +5310,9 @@ def stack(
         --------
         Dataset.unstack
         """
-        dimensions = either_dict_or_kwargs(dimensions, dimensions_kwargs, "stack")
+        dim = either_dict_or_kwargs(dim, dim_kwargs, "stack")
         result = self
-        for new_dim, dims in dimensions.items():
+        for new_dim, dims in dim.items():
             result = result._stack_once(dims, new_dim, index_cls, create_index)
         return result
 
@@ -6218,9 +6220,10 @@ def drop_dims(
         drop_vars = {k for k, v in self._variables.items() if set(v.dims) & drop_dims}
         return self.drop_vars(drop_vars)
 
+    @deprecate_dims
     def transpose(
         self,
-        *dims: Hashable,
+        *dim: Hashable,
         missing_dims: ErrorOptionsWithWarn = "raise",
     ) -> Self:
         """Return a new Dataset object with all array dimensions transposed.
@@ -6230,7 +6233,7 @@ def transpose(
 
         Parameters
         ----------
-        *dims : hashable, optional
+        *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"
@@ -6257,20 +6260,20 @@ def transpose(
         numpy.transpose
         DataArray.transpose
         """
-        # Raise error if list is passed as dims
-        if (len(dims) > 0) and (isinstance(dims[0], list)):
-            list_fix = [f"{repr(x)}" if isinstance(x, str) else f"{x}" for x in dims[0]]
+        # Raise error if list is passed as dim
+        if (len(dim) > 0) and (isinstance(dim[0], list)):
+            list_fix = [f"{repr(x)}" if isinstance(x, str) else f"{x}" for x in dim[0]]
             raise TypeError(
-                f'transpose requires dims to be passed as multiple arguments. Expected `{", ".join(list_fix)}`. Received `{dims[0]}` instead'
+                f'transpose requires dim to be passed as multiple arguments. Expected `{", ".join(list_fix)}`. Received `{dim[0]}` instead'
             )
 
         # Use infix_dims to check once for missing dimensions
-        if len(dims) != 0:
-            _ = list(infix_dims(dims, self.dims, missing_dims))
+        if len(dim) != 0:
+            _ = list(infix_dims(dim, self.dims, missing_dims))
 
         ds = self.copy()
         for name, var in self._variables.items():
-            var_dims = tuple(dim for dim in dims if dim in (var.dims + (...,)))
+            var_dims = tuple(d for d in dim if d in (var.dims + (...,)))
             ds._variables[name] = var.transpose(*var_dims)
         return ds