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Text repr: remove "Dimensions without coordinates" section #10489

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fbea202
remove Dimensions without coordinates from text repr
benbovy Jul 2, 2025
131c15f
remove Dimension without coordinates refs
benbovy Jul 2, 2025
fd19e4e
Merge branch 'main' into repr-remove-dimension-without-coord
benbovy Jul 3, 2025
8e94036
fix doctest
benbovy Jul 3, 2025
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11 changes: 0 additions & 11 deletions xarray/computation/computation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -345,7 +345,6 @@ def cross(
>>> xr.cross(a, b, dim="dim_0")
<xarray.DataArray (dim_0: 3)> Size: 24B
array([-3, 6, -3])
Dimensions without coordinates: dim_0

Vector cross-product with 3 dimensions but zeros at the last axis
yields the same results as with 2 dimensions:
Expand All @@ -355,7 +354,6 @@ def cross(
>>> xr.cross(a, b, dim="dim_0")
<xarray.DataArray (dim_0: 3)> Size: 24B
array([ 0, 0, -3])
Dimensions without coordinates: dim_0

Multiple vector cross-products. Note that the direction of the
cross product vector is defined by the right-hand rule:
Expand Down Expand Up @@ -397,7 +395,6 @@ def cross(
>>> c.to_dataset(dim="cartesian")
<xarray.Dataset> Size: 24B
Dimensions: (dim_0: 1)
Dimensions without coordinates: dim_0
Data variables:
x (dim_0) int64 8B -3
y (dim_0) int64 8B 6
Expand Down Expand Up @@ -526,7 +523,6 @@ def dot(
array([[0, 1],
[2, 3],
[4, 5]])
Dimensions without coordinates: a, b

>>> da_b
<xarray.DataArray (a: 3, b: 2, c: 2)> Size: 96B
Expand All @@ -538,36 +534,30 @@ def dot(
<BLANKLINE>
[[ 8, 9],
[10, 11]]])
Dimensions without coordinates: a, b, c

>>> da_c
<xarray.DataArray (c: 2, d: 3)> Size: 48B
array([[0, 1, 2],
[3, 4, 5]])
Dimensions without coordinates: c, d

>>> xr.dot(da_a, da_b, dim=["a", "b"])
<xarray.DataArray (c: 2)> Size: 16B
array([110, 125])
Dimensions without coordinates: c

>>> xr.dot(da_a, da_b, dim=["a"])
<xarray.DataArray (b: 2, c: 2)> Size: 32B
array([[40, 46],
[70, 79]])
Dimensions without coordinates: b, c

>>> xr.dot(da_a, da_b, da_c, dim=["b", "c"])
<xarray.DataArray (a: 3, d: 3)> Size: 72B
array([[ 9, 14, 19],
[ 93, 150, 207],
[273, 446, 619]])
Dimensions without coordinates: a, d

>>> xr.dot(da_a, da_b)
<xarray.DataArray (c: 2)> Size: 16B
array([110, 125])
Dimensions without coordinates: c

>>> xr.dot(da_a, da_b, dim=...)
<xarray.DataArray ()> Size: 8B
Expand Down Expand Up @@ -715,7 +705,6 @@ def where(cond, x, y, keep_attrs=None):
<xarray.DataArray (x: 2, y: 2)> Size: 32B
array([[1, 2],
[0, 0]])
Dimensions without coordinates: x, y

See Also
--------
Expand Down
7 changes: 0 additions & 7 deletions xarray/computation/rolling.py
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Original file line number Diff line number Diff line change
Expand Up @@ -392,7 +392,6 @@ def construct(
[nan, 4., 5.],
[ 4., 5., 6.],
[ 5., 6., 7.]]])
Dimensions without coordinates: a, b, window_dim

>>> rolling = da.rolling(b=3, center=True)
>>> rolling.construct("window_dim")
Expand All @@ -406,7 +405,6 @@ def construct(
[ 4., 5., 6.],
[ 5., 6., 7.],
[ 6., 7., nan]]])
Dimensions without coordinates: a, b, window_dim

"""

Expand Down Expand Up @@ -536,20 +534,17 @@ def reduce(
[nan, 4., 5.],
[ 4., 5., 6.],
[ 5., 6., 7.]]])
Dimensions without coordinates: a, b, window_dim

>>> rolling.reduce(np.sum)
<xarray.DataArray (a: 2, b: 4)> Size: 64B
array([[nan, nan, 3., 6.],
[nan, nan, 15., 18.]])
Dimensions without coordinates: a, b

>>> rolling = da.rolling(b=3, min_periods=1)
>>> rolling.reduce(np.nansum)
<xarray.DataArray (a: 2, b: 4)> Size: 64B
array([[ 0., 1., 3., 6.],
[ 4., 9., 15., 18.]])
Dimensions without coordinates: a, b
"""

keep_attrs = self._get_keep_attrs(keep_attrs)
Expand Down Expand Up @@ -1144,7 +1139,6 @@ def construct(
<xarray.DataArray (year: 2, month: 12)> Size: 192B
array([[ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]])
Dimensions without coordinates: year, month

See Also
--------
Expand Down Expand Up @@ -1299,7 +1293,6 @@ def reduce(
<xarray.DataArray (a: 2, b: 2)> Size: 32B
array([[ 1, 5],
[ 9, 13]])
Dimensions without coordinates: a, b
"""
wrapped_func = self._reduce_method(func)
return wrapped_func(self, keep_attrs=keep_attrs, **kwargs)
Expand Down
6 changes: 0 additions & 6 deletions xarray/computation/rolling_exp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,6 @@ def mean(self, keep_attrs: bool | None = None) -> T_DataWithCoords:
>>> da.rolling_exp(x=2, window_type="span").mean()
<xarray.DataArray (x: 5)> Size: 40B
array([1. , 1. , 1.69230769, 1.9 , 1.96694215])
Dimensions without coordinates: x
"""

import numbagg
Expand Down Expand Up @@ -146,7 +145,6 @@ def sum(self, keep_attrs: bool | None = None) -> T_DataWithCoords:
>>> da.rolling_exp(x=2, window_type="span").sum()
<xarray.DataArray (x: 5)> Size: 40B
array([1. , 1.33333333, 2.44444444, 2.81481481, 2.9382716 ])
Dimensions without coordinates: x
"""

import numbagg
Expand Down Expand Up @@ -179,7 +177,6 @@ def std(self) -> T_DataWithCoords:
>>> da.rolling_exp(x=2, window_type="span").std()
<xarray.DataArray (x: 5)> Size: 40B
array([ nan, 0. , 0.67936622, 0.42966892, 0.25389527])
Dimensions without coordinates: x
"""

import numbagg
Expand Down Expand Up @@ -209,7 +206,6 @@ def var(self) -> T_DataWithCoords:
>>> da.rolling_exp(x=2, window_type="span").var()
<xarray.DataArray (x: 5)> Size: 40B
array([ nan, 0. , 0.46153846, 0.18461538, 0.06446281])
Dimensions without coordinates: x
"""
dim_order = self.obj.dims
import numbagg
Expand Down Expand Up @@ -237,7 +233,6 @@ def cov(self, other: T_DataWithCoords) -> T_DataWithCoords:
>>> da.rolling_exp(x=2, window_type="span").cov(da**2)
<xarray.DataArray (x: 5)> Size: 40B
array([ nan, 0. , 1.38461538, 0.55384615, 0.19338843])
Dimensions without coordinates: x
"""

dim_order = self.obj.dims
Expand Down Expand Up @@ -267,7 +262,6 @@ def corr(self, other: T_DataWithCoords) -> T_DataWithCoords:
>>> da.rolling_exp(x=2, window_type="span").corr(da.shift(x=1))
<xarray.DataArray (x: 5)> Size: 40B
array([ nan, nan, nan, 0.4330127 , 0.48038446])
Dimensions without coordinates: x
"""

dim_order = self.obj.dims
Expand Down
20 changes: 0 additions & 20 deletions xarray/core/_aggregations.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1198,7 +1198,6 @@ def cumsum(
<xarray.DataTree>
Group: /
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
foo (time) float64 48B 1.0 3.0 6.0 6.0 8.0 8.0

Expand All @@ -1208,7 +1207,6 @@ def cumsum(
<xarray.DataTree>
Group: /
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
foo (time) float64 48B 1.0 3.0 6.0 6.0 8.0 nan
"""
Expand Down Expand Up @@ -1303,7 +1301,6 @@ def cumprod(
<xarray.DataTree>
Group: /
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
foo (time) float64 48B 1.0 2.0 6.0 0.0 0.0 0.0

Expand All @@ -1313,7 +1310,6 @@ def cumprod(
<xarray.DataTree>
Group: /
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
foo (time) float64 48B 1.0 2.0 6.0 0.0 0.0 nan
"""
Expand Down Expand Up @@ -2412,7 +2408,6 @@ def cumsum(
>>> ds.cumsum()
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 3.0 6.0 6.0 8.0 8.0

Expand All @@ -2421,7 +2416,6 @@ def cumsum(
>>> ds.cumsum(skipna=False)
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 3.0 6.0 6.0 8.0 nan
"""
Expand Down Expand Up @@ -2510,7 +2504,6 @@ def cumprod(
>>> ds.cumprod()
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 6.0 0.0 0.0 0.0

Expand All @@ -2519,7 +2512,6 @@ def cumprod(
>>> ds.cumprod(skipna=False)
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 6.0 0.0 0.0 nan
"""
Expand Down Expand Up @@ -5012,7 +5004,6 @@ def cumsum(
>>> ds.groupby("labels").cumsum()
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 3.0 3.0 4.0 1.0

Expand All @@ -5021,7 +5012,6 @@ def cumsum(
>>> ds.groupby("labels").cumsum(skipna=False)
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 3.0 3.0 4.0 nan
"""
Expand Down Expand Up @@ -5116,7 +5106,6 @@ def cumprod(
>>> ds.groupby("labels").cumprod()
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 3.0 0.0 4.0 1.0

Expand All @@ -5125,7 +5114,6 @@ def cumprod(
>>> ds.groupby("labels").cumprod(skipna=False)
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 3.0 0.0 4.0 nan
"""
Expand Down Expand Up @@ -6510,7 +6498,6 @@ def cumsum(
>>> ds.resample(time="3ME").cumsum()
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 5.0 5.0 2.0 2.0

Expand All @@ -6519,7 +6506,6 @@ def cumsum(
>>> ds.resample(time="3ME").cumsum(skipna=False)
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 5.0 5.0 2.0 nan
"""
Expand Down Expand Up @@ -6614,7 +6600,6 @@ def cumprod(
>>> ds.resample(time="3ME").cumprod()
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 6.0 0.0 2.0 2.0

Expand All @@ -6623,7 +6608,6 @@ def cumprod(
>>> ds.resample(time="3ME").cumprod(skipna=False)
<xarray.Dataset> Size: 48B
Dimensions: (time: 6)
Dimensions without coordinates: time
Data variables:
da (time) float64 48B 1.0 2.0 6.0 0.0 2.0 nan
"""
Expand Down Expand Up @@ -9297,7 +9281,6 @@ def cumsum(
array([1., 2., 5., 5., 2., 2.])
Coordinates:
labels (time) <U1 24B 'a' 'b' 'c' 'c' 'b' 'a'
Dimensions without coordinates: time

Use ``skipna`` to control whether NaNs are ignored.

Expand All @@ -9306,7 +9289,6 @@ def cumsum(
array([ 1., 2., 5., 5., 2., nan])
Coordinates:
labels (time) <U1 24B 'a' 'b' 'c' 'c' 'b' 'a'
Dimensions without coordinates: time
"""
return self.reduce(
duck_array_ops.cumsum,
Expand Down Expand Up @@ -9397,7 +9379,6 @@ def cumprod(
array([1., 2., 6., 0., 2., 2.])
Coordinates:
labels (time) <U1 24B 'a' 'b' 'c' 'c' 'b' 'a'
Dimensions without coordinates: time

Use ``skipna`` to control whether NaNs are ignored.

Expand All @@ -9406,7 +9387,6 @@ def cumprod(
array([ 1., 2., 6., 0., 2., nan])
Coordinates:
labels (time) <U1 24B 'a' 'b' 'c' 'c' 'b' 'a'
Dimensions without coordinates: time
"""
return self.reduce(
duck_array_ops.cumprod,
Expand Down
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