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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
1857109525 I_kwDOAMm_X85usT4V 8087 xarray version on windows harshitha1201 97012127 closed 0     6 2023-08-18T18:17:46Z 2023-08-19T14:42:28Z 2023-08-19T14:42:28Z CONTRIBUTOR      

What happened?

(xarray-tests) C:\Users\harsh\xarray>python

import xarray xarray.version '0.1.dev4684+geceec5f'

What did you expect to happen?

The actual version of xarray is 2023. something, but when doing on Windows this is the output shown everytime

Minimal Complete Verifiable Example

No response

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

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  completed xarray 13221727 issue
1854814561 I_kwDOAMm_X85ujjlh 8077 Video for the Contributing Guide harshitha1201 97012127 open 0     0 2023-08-17T11:29:07Z 2023-08-17T11:50:38Z   CONTRIBUTOR      

Is your feature request related to a problem?

There is no video for the setting up of xarray locally on windows.

Describe the solution you'd like

Maybe a video tutorial might be the solution making it beginner-friendly.

Describe alternatives you've considered

No response

Additional context

I'm providing the Google Docs Link, please do add any suggestions.

I'll be recording the video on 20th August.

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    xarray 13221727 issue
1838282462 I_kwDOAMm_X85tkfbe 8050 module 'xarray' has no attribute 'Coordinates' harshitha1201 97012127 closed 0     5 2023-08-06T17:19:43Z 2023-08-08T07:48:08Z 2023-08-08T07:48:08Z CONTRIBUTOR      

What happened?

I have made some documentation changes to the user-guide/terminology.rst file of xarray. When doing make html. This is the error message that is appearing. This problem has occured in two different folders, but while using the same file and command.

WARNING: [autosummary] failed to import xarray.Coordinates. Possible hints: * ImportError: * ModuleNotFoundError: No module named 'xarray.Coordinates' * AttributeError: module 'xarray' has no attribute 'Coordinates'

What did you expect to happen?

No response

Minimal Complete Verifiable Example

No response

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [X] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

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  completed xarray 13221727 issue
1782816429 I_kwDOAMm_X85qQ56t 7954 Dataset.reduce fails wheras Dataarray.reduce succeds harshitha1201 97012127 open 0     3 2023-06-30T16:29:10Z 2023-07-13T17:56:27Z   CONTRIBUTOR      

What happened?

I tried to reduce dataset using scipy.stats.skew, but it raised an error.

What did you expect to happen?

I expected it to succed, especially because the same operation with dataarray succeeds.

Minimal Complete Verifiable Example

```Python

dataset = xr.Dataset( ... { ... "math_scores": ( ... ["student", "test"], ... [[90, 85, 92], [78, 80, 85], [95, 92, 98]], ... ), ... "english_scores": ( ... ["student", "test"], ... [[88, 90, 92], [75, 82, 79], [93, 96, 91]], ... ), ... }, ... coords={ ... "student": ["Alice", "Bob", "Charlie"], ... "test": ["Test 1", "Test 2", "Test 3"], ... }, ... )

from scipy.stats import skew

Calling DataArray.reduce on each variable individually succeeds

In [14]: dataset['math_scores'].reduce(skew, dim=["test", 'student']) Out[14]: <xarray.DataArray 'math_scores' ()> array(-0.19423043)

In [15]: dataset['english_scores'].reduce(skew, dim=["test", 'student']) Out[15]: <xarray.DataArray 'english_scores' ()> array(-0.60125)

But calling Dataset.reduce fails

dataset.reduce(skew, dim=["test", 'student'])


ValueError Traceback (most recent call last) Cell In[16], line 1 ----> 1 dataset.reduce(skew, dim=["test", 'student'])

File ~/Documents/Work/Code/xarray/xarray/core/dataset.py:5972, in Dataset.reduce(self, func, dim, keep_attrs, keepdims, numeric_only, kwargs) 5955 if ( 5956 # Some reduction functions (e.g. std, var) need to run on variables 5957 # that don't have the reduce dims: PR5393 (...) 5965 # the former is often more efficient 5966 # keep single-element dims as list, to support Hashables 5967 reduce_maybe_single = ( 5968 None 5969 if len(reduce_dims) == var.ndim and var.ndim != 1 5970 else reduce_dims 5971 ) -> 5972 variables[name] = var.reduce( 5973 func, 5974 dim=reduce_maybe_single, 5975 keep_attrs=keep_attrs, 5976 keepdims=keepdims, 5977 kwargs, 5978 ) 5980 coord_names = {k for k in self.coords if k in variables} 5981 indexes = {k: v for k, v in self._indexes.items() if k in variables}

File ~/Documents/Work/Code/xarray/xarray/core/variable.py:2045, in Variable.reduce(self, func, dim, axis, keep_attrs, keepdims, **kwargs) 2042 keep_attrs = _get_keep_attrs(default=False) 2043 attrs = self._attrs if keep_attrs else None -> 2045 return Variable(dims, data, attrs=attrs)

File ~/Documents/Work/Code/xarray/xarray/core/variable.py:367, in Variable.init(self, dims, data, attrs, encoding, fastpath) 347 """ 348 Parameters 349 ---------- (...) 364 unrecognized encoding items. 365 """ 366 self._data = as_compatible_data(data, fastpath=fastpath) --> 367 self._dims = self._parse_dimensions(dims) 368 self._attrs = None 369 self._encoding = None

File ~/Documents/Work/Code/xarray/xarray/core/variable.py:683, in Variable._parse_dimensions(self, dims) 681 dims = tuple(dims) 682 if len(dims) != self.ndim: --> 683 raise ValueError( 684 f"dimensions {dims} must have the same length as the " 685 f"number of data dimensions, ndim={self.ndim}" 686 ) 687 return dims

ValueError: dimensions () must have the same length as the number of data dimensions, ndim=1 ```

MVCE confirmation

  • [x] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [x] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [x] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

xarray main branch

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    xarray 13221727 issue

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