html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1487#issuecomment-318119534,https://api.github.com/repos/pydata/xarray/issues/1487,318119534,MDEyOklzc3VlQ29tbWVudDMxODExOTUzNA==,1217238,2017-07-26T17:08:12Z,2017-07-26T17:08:12Z,MEMBER,">  I was under the impression that xarray.DataArrays behave the same as numpy.ndarrays when applying numpy functions, so that I didn't have to change any of my code.

We do attempt to make this work when feasible, but unfortunately it isn't always the case. In this case I do think this is doable, so I'm marking this issue as ""Contributions welcome.""","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,245468219
https://github.com/pydata/xarray/issues/1487#issuecomment-317871442,https://api.github.com/repos/pydata/xarray/issues/1487,317871442,MDEyOklzc3VlQ29tbWVudDMxNzg3MTQ0Mg==,1217238,2017-07-25T21:02:59Z,2017-07-25T21:02:59Z,MEMBER,"This is (somewhat) expected. Basically, you should use the `DataArray.squeeze()` method instead.

The long story is that some but not all NumPy functions define themselves by (attempting) to call methods, e.g., `np.squeeze(array)` -> `array.squeeze()`.

`squeeze` is a special and somewhat surprising case. [Apparently](https://github.com/numpy/numpy/blob/v1.13.0/numpy/core/fromnumeric.py#L1143-L1201) `np.squeeze(array, axis)` -> `array.squeeze(axis)` -> `array.squeeze()` if the `axis` argument isn't handled. But we didn't bother to define an `axis` argument for `DataArray.squeeze()`, so this results in an error.

I suppose we could fix this by defining an `axis` argument, like we do for some methods like `.mean()`. But the short answer is that using xarray methods should be preferred.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,245468219