issue_comments: 450456616

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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
https://github.com/pydata/xarray/issues/2636#issuecomment-450456616 https://api.github.com/repos/pydata/xarray/issues/2636 450456616 MDEyOklzc3VlQ29tbWVudDQ1MDQ1NjYxNg== 30388627 2018-12-29T02:17:49Z 2018-12-29T02:17:49Z NONE

@xylar Thanks! I just found another question similar to this one.

I've tried some operations: with xr.open_dataset('merge.nc') as f: print (f['temperature'],'\n') print ('---------------------------') print (f.mean(dim='time')) print ('---------------------------') print (f['temperature'].loc[:,:,'2015-01-05T04:00:00',]) print ('---------------------------')

It works fine: ``` <xarray.DataArray 'temperature' (x: 2, y: 2, time: 6)> array([[[-0.022611, -1.428088, -0.655508, 0.977389, -0.428088, 0.344492], [ 0.430102, 0.996973, -0.882054, 1.430102, 1.996973, 0.117946]],

   [[ 0.157233, -0.230397, -0.505775,  1.157233,  0.769603,  0.494225],
    [-0.075826, -1.933904, -0.823982,  0.924174, -0.933904,  0.176018]]])

Coordinates: lon (x, y) float64 ... lat (x, y) float64 ... * time (time) datetime64[ns] 2015-01-05T04:00:00 2015-01-05T05:00:00 ... Dimensions without coordinates: x, y

<xarray.Dataset> Dimensions: (x: 2, y: 2) Coordinates: lon (x, y) float64 ... lat (x, y) float64 ... Dimensions without coordinates: x, y Data variables: temperature (x, y) float64 -0.2021 0.6817 0.307 -0.4446

<xarray.DataArray 'temperature' (x: 2, y: 2)> array([[-0.022611, 0.430102], [ 0.157233, -0.075826]]) Coordinates: lon (x, y) float64 ... lat (x, y) float64 ... time datetime64[ns] 2015-01-05T04:00:00 Dimensions without coordinates: x, y

```

 
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