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/39#issuecomment-36484609,https://api.github.com/repos/pydata/xarray/issues/39,36484609,MDEyOklzc3VlQ29tbWVudDM2NDg0NjA5,514053,2014-03-03T06:28:32Z,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: ``` ipdb> print fcst dimensions: latitude = 31 longitude = 46 time = 7 variables: object latitude(latitude) units:degrees_north _CoordinateAxisType:Lat object longitude(longitude) units:degrees_east _CoordinateAxisType:Lon datet... time(time) standard_name:time _CoordinateAxisType:Time units:hours since 2014-03-03 00:0... ipdb> fcst.dump('./test.nc') *** TypeError: illegal primitive data type, must be one of ['i8', 'f4', 'u8', 'i1', 'U1', 'S1', 'i2', 'u1', 'i4', 'u2', 'f8', 'u4'], got object ``` Currently tracking down exactly whats going on here. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,28600785 https://github.com/pydata/xarray/issues/39#issuecomment-36484363,https://api.github.com/repos/pydata/xarray/issues/39,36484363,MDEyOklzc3VlQ29tbWVudDM2NDg0MzYz,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: > This is because coordinates are loaded as pandas.Index objects... which > don't always faithfully preserve the type of the underlying object (see > pydata/pandas#6471 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. > > ## > > Reply to this email directly or view it on GitHubhttps://github.com/akleeman/xray/issues/39#issuecomment-36484122 > . ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,28600785