issue_comments: 216092859
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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/838#issuecomment-216092859 | https://api.github.com/repos/pydata/xarray/issues/838 | 216092859 | MDEyOklzc3VlQ29tbWVudDIxNjA5Mjg1OQ== | 6079398 | 2016-05-02T02:07:47Z | 2016-05-02T02:07:47Z | NONE | Redeeming myself (only a little bit) from my previous message here: @akrherz Was messing around with this a bit, this seems to work ok. This gets rid of unnecessary dimensions, concatenates string arrays, and turns it into a pandas DataFrame: ``` [In [1]: import xarray as xr In [2]: ds = xr.open_dataset('20160430_1600.nc', decode_cf=True, mask_and_scale=False, decode_times=False) # xarray has issue decoding the times, so you'll have to do this in pandas. In [3]: vars_to_drop = [k for k in ds.variables.iterkeys() if ('recNum' not in ds[k].dims)] In [4]: ds = ds.drop(vars_to_drop) In [5]: df = ds.to_dataframe() In [6]: df.info() <class 'pandas.core.frame.DataFrame'> Int64Index: 6277 entries, 0 to 6276 Data columns (total 93 columns): invTime 6277 non-null int32 prevRecord 6277 non-null int32 isOverflow 6277 non-null int32 secondsStage1_2 6277 non-null int32 secondsStage3 6277 non-null int32 providerId 6277 non-null object stationId 6277 non-null object handbook5Id 6277 non-null object](url) ~snip~ ``` A bit hacky, but it works. |
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