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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
361237908 MDU6SXNzdWUzNjEyMzc5MDg= 2419 Document ways to reshape a DataArray dimitryx2017 9844249 open 0     5 2018-09-18T10:27:36Z 2022-04-09T02:21:15Z   NONE      

Code Sample, a copy-pastable example if possible

A "Minimal, Complete and Verifiable Example" will make it much easier for maintainers to help you: http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports

```python

Your code here

def xr_reshape(A, dim, newdims, coords): """ Reshape DataArray A to convert its dimension dim into sub-dimensions given by newdims and the corresponding coords. Example: Ar = xr_reshape(A, 'time', ['year', 'month'], [(2017, 2018), np.arange(12)]) """

# Create a pandas MultiIndex from these labels
ind = pd.MultiIndex.from_product(coords, names=newdims)

# Replace the time index in the DataArray by this new index,
A1 = A.copy()

A1.coords[dim] = ind

# Convert multiindex to individual dims using DataArray.unstack().
# This changes dimension order! The new dimensions are at the end.
A1 = A1.unstack(dim)

# Permute to restore dimensions
i = A.dims.index(dim)
dims = list(A1.dims)

for d in newdims[::-1]:
    dims.insert(i, d)

for d in newdims:
    _ = dims.pop(-1)


return A1.transpose(*dims)

```

Problem description

[this should explain why the current behavior is a problem and why the expected output is a better solution.]

It would be great to have the above function as a DataArray's method.

Expected Output

A reshaped DataArray. In the example in the function comment it would correspond to an array like

In[1] Ar.dims Out[1]: ('year', 'month', 'lat', 'lon')

Output of xr.show_versions()

# Paste the output here xr.show_versions() here INSTALLED VERSIONS ------------------ commit: None python: 3.6.3.final.0 python-bits: 64 OS: Linux OS-release: 3.10.0-693.5.2.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: fr_FR.UTF-8 LOCALE: fr_FR.UTF-8 xarray: 0.10.4 pandas: 0.23.0 numpy: 1.13.3 scipy: 0.19.1 netCDF4: 1.3.1 h5netcdf: None h5py: 2.7.0 Nio: None zarr: None bottleneck: 1.2.1 cyordereddict: None dask: 0.15.3 distributed: 1.19.1 matplotlib: 2.1.0 cartopy: 0.16.0 seaborn: 0.8.1 setuptools: 36.5.0.post20170921 pip: 18.0 conda: 4.4.7 pytest: 3.2.1 IPython: 6.1.0 sphinx: 1.6.3
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    xarray 13221727 issue
221845134 MDU6SXNzdWUyMjE4NDUxMzQ= 1373 Dataset.combine_first() coordinates attribute dimitryx2017 9844249 closed 0     2 2017-04-14T16:46:02Z 2019-04-14T23:22:23Z 2019-04-14T23:22:23Z NONE      

Hi guys!

Thanks for the great job you are doing!

Here is a possible bug in the Dataset.combine_first() method (I'm using xarray 0.9.2 with Python 3.5.2).

The Dataset/DataArray coordinates are correctly treated if specified without commas, e.g. (as seen with ncdump): MyVar:coordinates = "alt lat lon" ;. In this case lon, lat, and alt are recognized as the Dataset's (and its DataArrays') .coords.

However, the Dataset.combine_first()method only treats coordinates correctly if specified with commas, i.e., MyVar:coordinates = "alt, lat, lon".

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  completed xarray 13221727 issue

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