issue_comments: 770848655
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/4824#issuecomment-770848655 | https://api.github.com/repos/pydata/xarray/issues/4824 | 770848655 | MDEyOklzc3VlQ29tbWVudDc3MDg0ODY1NQ== | 10194086 | 2021-02-01T13:15:18Z | 2021-02-01T13:15:18Z | MEMBER |
merge leads to interlaced coords
```python
In [2]: xr.merge([da0, da1])
Out[2]:
<xarray.Dataset>
Dimensions: (lat: 10, t: 2)
Coordinates:
* lat (lat) float64 0.0 1e-06 1.0 1.0 2.0 2.0 3.0 3.0 4.0 4.0
* t (t) int64 1 2
Data variables:
a (t, lat) float64 0.0 nan 1.0 nan 2.0 nan ... 2.0 nan 3.0 nan 4.0
```
concat leads to - well - concatenated coords
```python
xr.concat([da0, da1], dim="lat")
Out[5]:
<xarray.Dataset>
Dimensions: (lat: 10, t: 2)
Coordinates:
* t (t) int64 1 2
* lat (lat) float64 0.0 1.0 2.0 3.0 4.0 1e-06 1.0 2.0 3.0 4.0
Data variables:
a (t, lat) float64 0.0 1.0 2.0 3.0 4.0 nan ... 0.0 1.0 2.0 3.0 4.0
```
Yes I think I'd be interested to fix this... One question on the scope of
Or as ```python ds_a = xr.Dataset({"data": (("y", "x"), [[1, 2]]), "x": [0, 1], "y": [0]}) ds_b = xr.Dataset({"data": (("y", "x"), [[3, 4, 5]]), "x": [2, 3, 4], "y": [0]}) ds_c = xr.Dataset({"data": (("y", "x"), [[11, 12, 14]]), "x": [0, 1, 2], "y": [1]}) ds_d = xr.Dataset({"data": (("y", "x"), [[14, 15]]), "x": [3, 4], "y": [1]}) xr.combine_by_coords([ds_a, ds_b, ds_c, ds_d]).data ``` Should that work or not? Current behaviour Currently it yields the following:
However, if |
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