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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
651101286 MDU6SXNzdWU2NTExMDEyODY= 4203 .to_xarray(): a 9Mb dataframe requires 30Gb ram Drfengze 15280721 closed 0     6 2020-07-05T16:29:08Z 2020-07-08T04:39:21Z 2020-07-07T16:46:38Z NONE      

```python ds1 = df.set_index(['lat','lon']).stack() ds1.index.names = ['lat', 'lon', 'time'] ds1 = ds1.sort_index() ds1.columns = ['T']

xr.Dataset(ds1) ```

I tried to transform a dataset with 2D latitude and longitude into Xarray dataset, however I failed to do so, because ram error occurred during process.

I also tried to set lat and lon as coordination directly, however it is complex to plotting and conducting geographic manipulation in the following work. This dataset is a non-rectangular area, lat and lon can not be replaced by the corner values.

In all, I hope this data can be transformed into xarray and resampled into traditional rectangle data, which can be easily dealt with.

Any codes and suggestions are sincerely welcomed. 

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   completed xarray 13221727 issue

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