issue_comments: 36467822

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https://github.com/pydata/xarray/issues/32#issuecomment-36467822 https://api.github.com/repos/pydata/xarray/issues/32 36467822 MDEyOklzc3VlQ29tbWVudDM2NDY3ODIy 6509590 2014-03-02T21:33:17Z 2014-03-02T21:33:17Z NONE

Many thanks for the clarification. np.squeeze was used in slocum to remove a dimension that had been shrunk down to one value (then via views, now via indexed_by). The idea was to get the resulting Dataset as small as possible before dumping it and sending it over a very low bandwidth email link. If a dimension with only one element (like height_above_ground in the example) can be neglected in terms of size impact, it's not worth the trouble with np.squeeze. Otherwise it would be nice to have it back. Thanks in any case.

I think the right behavior would be to delete every variable that uses the dimension.

How about deleting it from every variable that uses the dimension to be deleted, and only keep index 0 if there were multiple values along that dimension. That would seem closer to what happens in a n-dimensional coordinate system if I get rid of one axis?

 
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