Fix DataArray transpose inconsistent with Dataset Ellipsis usage

doc/internals.rst

@@ -230,4 +230,4 @@ re-open it directly with Zarr:
 
     zgroup = zarr.open("rasm.zarr")
     print(zgroup.tree())
-    dict(zgroup["Tair"].attrs)
+    dict(zgroup["Tair"].attrs)

doc/plotting.rst

@@ -955,4 +955,4 @@ One can also make line plots with multidimensional coordinates. In this case, ``
     f, ax = plt.subplots(2, 1)
     da.plot.line(x="lon", hue="y", ax=ax[0])
     @savefig plotting_example_2d_hue_xy.png
-    da.plot.line(x="lon", hue="x", ax=ax[1])
+    da.plot.line(x="lon", hue="x", ax=ax[1])

doc/whats-new.rst

@@ -55,6 +55,7 @@ Bug fixes
 - Fix a crash in orthogonal indexing on geographic coordinates with ``engine='cfgrib'`` (:issue:`4733` :pull:`4737`).
   By `Alessandro Amici <https://github.com/alexamici>`_
 - Limit number of data rows when printing large datasets. (:issue:`4736`, :pull:`4750`). By `Jimmy Westling <https://github.com/illviljan>`_.
+- Add ``missing_dims`` parameter to transpose (:issue:`4647`, :pull:`4767`). By `Daniel Mesejo <https://github.com/mesejo>`_.
 
 Documentation
 ~~~~~~~~~~~~~
@@ -76,6 +77,7 @@ Internal Changes
   - Run the tests in parallel using pytest-xdist (:pull:`4694`).
 
   By `Justus Magin <https://github.com/keewis>`_ and `Mathias Hauser <https://github.com/mathause>`_.
+
 - Replace all usages of ``assert x.identical(y)`` with ``assert_identical(x,  y)`` 
   for clearer error messages.
   (:pull:`4752`);

xarray/core/dataarray.py

@@ -2120,7 +2120,12 @@ def to_unstacked_dataset(self, dim, level=0):
         # unstacked dataset
         return Dataset(data_dict)
 
-    def transpose(self, *dims: Hashable, transpose_coords: bool = True) -> "DataArray":
+    def transpose(
+        self,
+        *dims: Hashable,
+        transpose_coords: bool = True,
+        missing_dims: str = "raise",
+    ) -> "DataArray":
         """Return a new DataArray object with transposed dimensions.
 
         Parameters
@@ -2130,6 +2135,12 @@ def transpose(self, *dims: Hashable, transpose_coords: bool = True) -> "DataArra
             dimensions to this order.
         transpose_coords : bool, default: True
             If True, also transpose the coordinates of this DataArray.
+        missing_dims : {"raise", "warn", "ignore"}, default: "raise"
+            What to do if dimensions that should be selected from are not present in the
+            DataArray:
+            - "raise": raise an exception
+            - "warning": raise a warning, and ignore the missing dimensions
+            - "ignore": ignore the missing dimensions
 
         Returns
         -------
@@ -2148,7 +2159,7 @@ def transpose(self, *dims: Hashable, transpose_coords: bool = True) -> "DataArra
         Dataset.transpose
         """
         if dims:
-            dims = tuple(utils.infix_dims(dims, self.dims))
+            dims = tuple(utils.infix_dims(dims, self.dims, missing_dims))
         variable = self.variable.transpose(*dims)
         if transpose_coords:
             coords: Dict[Hashable, Variable] = {}

xarray/core/utils.py

@@ -744,28 +744,32 @@ def __len__(self) -> int:
         return len(self._data) - num_hidden
 
 
-def infix_dims(dims_supplied: Collection, dims_all: Collection) -> Iterator:
+def infix_dims(
+    dims_supplied: Collection, dims_all: Collection, missing_dims: str = "raise"
+) -> Iterator:
     """
-    Resolves a supplied list containing an ellispsis representing other items, to
+    Resolves a supplied list containing an ellipsis representing other items, to
     a generator with the 'realized' list of all items
     """
     if ... in dims_supplied:
         if len(set(dims_all)) != len(dims_all):
             raise ValueError("Cannot use ellipsis with repeated dims")
-        if len([d for d in dims_supplied if d == ...]) > 1:
+        if list(dims_supplied).count(...) > 1:
             raise ValueError("More than one ellipsis supplied")
         other_dims = [d for d in dims_all if d not in dims_supplied]
-        for d in dims_supplied:
-            if d == ...:
+        existing_dims = drop_missing_dims(dims_supplied, dims_all, missing_dims)
+        for d in existing_dims:
+            if d is ...:
                 yield from other_dims
             else:
                 yield d
     else:
-        if set(dims_supplied) ^ set(dims_all):
+        existing_dims = drop_missing_dims(dims_supplied, dims_all, missing_dims)
+        if set(existing_dims) ^ set(dims_all):
             raise ValueError(
                 f"{dims_supplied} must be a permuted list of {dims_all}, unless `...` is included"
             )
-        yield from dims_supplied
+        yield from existing_dims
 
 
 def get_temp_dimname(dims: Container[Hashable], new_dim: Hashable) -> Hashable:
@@ -805,7 +809,7 @@ def drop_dims_from_indexers(
         invalid = indexers.keys() - set(dims)
         if invalid:
             raise ValueError(
-                f"dimensions {invalid} do not exist. Expected one or more of {dims}"
+                f"Dimensions {invalid} do not exist. Expected one or more of {dims}"
             )
 
         return indexers
@@ -818,7 +822,7 @@ def drop_dims_from_indexers(
         invalid = indexers.keys() - set(dims)
         if invalid:
             warnings.warn(
-                f"dimensions {invalid} do not exist. Expected one or more of {dims}"
+                f"Dimensions {invalid} do not exist. Expected one or more of {dims}"
             )
         for key in invalid:
             indexers.pop(key)
@@ -834,6 +838,48 @@ def drop_dims_from_indexers(
         )
 
 
+def drop_missing_dims(
+    supplied_dims: Collection, dims: Collection, missing_dims: str
+) -> Collection:
+    """Depending on the setting of missing_dims, drop any dimensions from supplied_dims that
+    are not present in dims.
+
+    Parameters
+    ----------
+    supplied_dims : dict
+    dims : sequence
+    missing_dims : {"raise", "warn", "ignore"}
+    """
+
+    if missing_dims == "raise":
+        supplied_dims_set = set(val for val in supplied_dims if val is not ...)
+        invalid = supplied_dims_set - set(dims)
+        if invalid:
+            raise ValueError(
+                f"Dimensions {invalid} do not exist. Expected one or more of {dims}"
+            )
+
+        return supplied_dims
+
+    elif missing_dims == "warn":
+
+        invalid = set(supplied_dims) - set(dims)
+        if invalid:
+            warnings.warn(
+                f"Dimensions {invalid} do not exist. Expected one or more of {dims}"
+            )
+
+        return [val for val in supplied_dims if val in dims or val is ...]
+
+    elif missing_dims == "ignore":
+        return [val for val in supplied_dims if val in dims or val is ...]
+
+    else:
+        raise ValueError(
+            f"Unrecognised option {missing_dims} for missing_dims argument"
+        )
+
+
 class UncachedAccessor:
     """Acts like a property, but on both classes and class instances
 

xarray/tests/test_dataarray.py

@@ -797,13 +797,13 @@ def test_isel(self):
         assert_identical(self.dv[:3, :5], self.dv.isel(x=slice(3), y=slice(5)))
         with raises_regex(
             ValueError,
-            r"dimensions {'not_a_dim'} do not exist. Expected "
+            r"Dimensions {'not_a_dim'} do not exist. Expected "
             r"one or more of \('x', 'y'\)",
         ):
             self.dv.isel(not_a_dim=0)
         with pytest.warns(
             UserWarning,
-            match=r"dimensions {'not_a_dim'} do not exist. "
+            match=r"Dimensions {'not_a_dim'} do not exist. "
             r"Expected one or more of \('x', 'y'\)",
         ):
             self.dv.isel(not_a_dim=0, missing_dims="warn")
@@ -2231,9 +2231,21 @@ def test_transpose(self):
         actual = da.transpose("z", ..., "x", transpose_coords=True)
         assert_equal(expected, actual)
 
+        # same as previous but with a missing dimension
+        actual = da.transpose(
+            "z", "y", "x", "not_a_dim", transpose_coords=True, missing_dims="ignore"
+        )
+        assert_equal(expected, actual)
+
         with pytest.raises(ValueError):
             da.transpose("x", "y")
 
+        with pytest.raises(ValueError):
+            da.transpose("not_a_dim", "z", "x", ...)
+
+        with pytest.warns(UserWarning):
+            da.transpose("not_a_dim", "y", "x", ..., missing_dims="warn")
+
     def test_squeeze(self):
         assert_equal(self.dv.variable.squeeze(), self.dv.squeeze().variable)
 
@@ -6227,7 +6239,6 @@ def da_dask(seed=123):
 
 @pytest.mark.parametrize("da", ("repeating_ints",), indirect=True)
 def test_isin(da):
-
     expected = DataArray(
         np.asarray([[0, 0, 0], [1, 0, 0]]),
         dims=list("yx"),
@@ -6277,7 +6288,6 @@ def test_coarsen_keep_attrs():
 
 @pytest.mark.parametrize("da", (1, 2), indirect=True)
 def test_rolling_iter(da):
-
     rolling_obj = da.rolling(time=7)
     rolling_obj_mean = rolling_obj.mean()
 
@@ -6452,7 +6462,6 @@ def test_rolling_construct(center, window):
 @pytest.mark.parametrize("window", (1, 2, 3, 4))
 @pytest.mark.parametrize("name", ("sum", "mean", "std", "max"))
 def test_rolling_reduce(da, center, min_periods, window, name):
-
     if min_periods is not None and window < min_periods:
         min_periods = window
 
@@ -6491,7 +6500,6 @@ def test_rolling_reduce_nonnumeric(center, min_periods, window, name):
 
 
 def test_rolling_count_correct():
-
     da = DataArray([0, np.nan, 1, 2, np.nan, 3, 4, 5, np.nan, 6, 7], dims="time")
 
     kwargs = [
@@ -6579,7 +6587,6 @@ def test_ndrolling_construct(center, fill_value):
     ],
 )
 def test_rolling_keep_attrs(funcname, argument):
-
     attrs_da = {"da_attr": "test"}
 
     data = np.linspace(10, 15, 100)
@@ -6623,7 +6630,6 @@ def test_rolling_keep_attrs(funcname, argument):
 
 
 def test_rolling_keep_attrs_deprecated():
-
     attrs_da = {"da_attr": "test"}
 
     data = np.linspace(10, 15, 100)
@@ -6957,7 +6963,6 @@ def test_rolling_exp(da, dim, window_type, window):
 
 @requires_numbagg
 def test_rolling_exp_keep_attrs(da):
-
     attrs = {"attrs": "da"}
     da.attrs = attrs
 

xarray/tests/test_dataset.py

@@ -1024,14 +1024,14 @@ def test_isel(self):
             data.isel(not_a_dim=slice(0, 2))
         with raises_regex(
             ValueError,
-            r"dimensions {'not_a_dim'} do not exist. Expected "
+            r"Dimensions {'not_a_dim'} do not exist. Expected "
             r"one or more of "
             r"[\w\W]*'time'[\w\W]*'dim\d'[\w\W]*'dim\d'[\w\W]*'dim\d'[\w\W]*",
         ):
             data.isel(not_a_dim=slice(0, 2))
         with pytest.warns(
             UserWarning,
-            match=r"dimensions {'not_a_dim'} do not exist. "
+            match=r"Dimensions {'not_a_dim'} do not exist. "
             r"Expected one or more of "
             r"[\w\W]*'time'[\w\W]*'dim\d'[\w\W]*'dim\d'[\w\W]*'dim\d'[\w\W]*",
         ):

xarray/tests/test_variable.py

@@ -1270,13 +1270,13 @@ def test_isel(self):
         assert_identical(v.isel(time=[]), v[[]])
         with raises_regex(
             ValueError,
-            r"dimensions {'not_a_dim'} do not exist. Expected one or more of "
+            r"Dimensions {'not_a_dim'} do not exist. Expected one or more of "
             r"\('time', 'x'\)",
         ):
             v.isel(not_a_dim=0)
         with pytest.warns(
             UserWarning,
-            match=r"dimensions {'not_a_dim'} do not exist. Expected one or more of "
+            match=r"Dimensions {'not_a_dim'} do not exist. Expected one or more of "
             r"\('time', 'x'\)",
         ):
             v.isel(not_a_dim=0, missing_dims="warn")