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- OpenDAP loaded Dataset has lon/lats with type 'object'. · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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38417320 | https://github.com/pydata/xarray/issues/39#issuecomment-38417320 | https://api.github.com/repos/pydata/xarray/issues/39 | MDEyOklzc3VlQ29tbWVudDM4NDE3MzIw | shoyer 1217238 | 2014-03-24T07:21:02Z | 2014-03-24T07:21:02Z | MEMBER | I believe this was fixed by #54. |
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OpenDAP loaded Dataset has lon/lats with type 'object'. 28600785 | |
36484609 | https://github.com/pydata/xarray/issues/39#issuecomment-36484609 | https://api.github.com/repos/pydata/xarray/issues/39 | MDEyOklzc3VlQ29tbWVudDM2NDg0NjA5 | akleeman 514053 | 2014-03-03T06:28:32Z | 2014-03-03T06:28:32Z | CONTRIBUTOR | @shoyer You're right I can serialize the latitude object directly from that opendap url ... but after some manipulation I run into this:
Currently tracking down exactly whats going on here. |
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OpenDAP loaded Dataset has lon/lats with type 'object'. 28600785 | |
36484363 | https://github.com/pydata/xarray/issues/39#issuecomment-36484363 | https://api.github.com/repos/pydata/xarray/issues/39 | MDEyOklzc3VlQ29tbWVudDM2NDg0MzYz | ebrevdo 1794715 | 2014-03-03T06:21:33Z | 2014-03-03T06:21:33Z | CONTRIBUTOR | Indices also have an .inferred_type getter. unfortunately it doesn't seem to return true type names... In [13]: pandas.Index([1,2,3]).inferred_type Out[13]: 'integer' In [14]: pandas.Index([1,2,3.5]).inferred_type Out[14]: 'mixed-integer-float' In [15]: pandas.Index(["ab","cd"]).inferred_type Out[15]: 'string' In [16]: pandas.Index(["ab","cd",3]).inferred_type Out[16]: 'mixed-integer' On Sun, Mar 2, 2014 at 10:14 PM, Stephan Hoyer notifications@github.comwrote:
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OpenDAP loaded Dataset has lon/lats with type 'object'. 28600785 | |
36484122 | https://github.com/pydata/xarray/issues/39#issuecomment-36484122 | https://api.github.com/repos/pydata/xarray/issues/39 | MDEyOklzc3VlQ29tbWVudDM2NDg0MTIy | shoyer 1217238 | 2014-03-03T06:14:38Z | 2014-03-03T06:14:38Z | MEMBER | This is because coordinates are loaded as pandas.Index objects... which don't always faithfully preserve the type of the underlying object (see https://github.com/pydata/pandas/issues/6471). I believe serialization should still work though thanks to a work around I added for dtype=object. Do let me know if this is not the case. One solution to make this less awkward would be to wrap pandas.Index in something that keeps track of the dtype of the original arguments for use in mathematical expression. |
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OpenDAP loaded Dataset has lon/lats with type 'object'. 28600785 |
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