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  • meteoDaniel · 5 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
883320031 https://github.com/pydata/xarray/issues/5620#issuecomment-883320031 https://api.github.com/repos/pydata/xarray/issues/5620 IC_kwDOAMm_X840pmTf meteoDaniel 27021858 2021-07-20T11:32:45Z 2021-07-20T11:32:45Z NONE

@keewis thanks for your further explanation. In the mean time I have built a work-around because I recognized that xarray tries to keep the 2D arrays. nump reverts a 1D index array. Thanks

 
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   `xr.where()` does not work like `np.where()`on meshgrids 947796627
883077601 https://github.com/pydata/xarray/issues/5620#issuecomment-883077601 https://api.github.com/repos/pydata/xarray/issues/5620 IC_kwDOAMm_X840orHh meteoDaniel 27021858 2021-07-20T05:39:10Z 2021-07-20T05:40:01Z NONE

@max-sixty I do not know what you want? You can download the file and I have placed all the code you need to run into this issue. 

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   `xr.where()` does not work like `np.where()`on meshgrids 947796627
832111396 https://github.com/pydata/xarray/issues/1020#issuecomment-832111396 https://api.github.com/repos/pydata/xarray/issues/1020 MDEyOklzc3VlQ29tbWVudDgzMjExMTM5Ng== meteoDaniel 27021858 2021-05-04T17:24:15Z 2021-05-04T17:24:15Z NONE

@shoyer I am having a similar problem. I am reading 80 files with total 8.3 GB . So each files has around 100 MB. If I understand you right: Using mf_dataset on such data is not recommend? So best practive wouold be to loop over the files ?

PS: I still tried to use some dask related operations but eachtime I try to access .values or use to_dataframe the memory usage explodes. Thanks a lot for answering ;) 

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   Memory error when converting dataset to dataframe 180080354
632692641 https://github.com/pydata/xarray/issues/3662#issuecomment-632692641 https://api.github.com/repos/pydata/xarray/issues/3662 MDEyOklzc3VlQ29tbWVudDYzMjY5MjY0MQ== meteoDaniel 27021858 2020-05-22T13:33:01Z 2020-05-22T13:33:01Z NONE

Is anybody able to answer this question?

 
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   Select on 2 dimensional indices/How to define indices correctly? 545324954
570800135 https://github.com/pydata/xarray/issues/3661#issuecomment-570800135 https://api.github.com/repos/pydata/xarray/issues/3661 MDEyOklzc3VlQ29tbWVudDU3MDgwMDEzNQ== meteoDaniel 27021858 2020-01-04T16:43:55Z 2020-01-04T16:44:15Z NONE

I got the solution by my own:

xarray.DataArray(frames_z,coords={"time": timestamps, "latitude": (["x","y"], grid[:, :, 1]), "longitude": (["x","y"], grid[:, :, 0])}, dims=["time", "x","y"])

Would be great to have such an example in the documentation. Can you tell me how to contribute this to the documentation?

 
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   How to handle 2d latitude and longitude coordinates within DataArray creation 545297609

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