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  • shoyer · 2 ✖

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  • NaN values for variables when converting from a pandas dataframe to xarray.DataSet · 2 ✖

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501313101 https://github.com/pydata/xarray/issues/3007#issuecomment-501313101 https://api.github.com/repos/pydata/xarray/issues/3007 MDEyOklzc3VlQ29tbWVudDUwMTMxMzEwMQ== shoyer 1217238 2019-06-12T14:58:53Z 2019-06-12T14:58:53Z MEMBER

You will need to share a full example in order for me to explain why it works that way

On Wed, Jun 12, 2019 at 7:36 AM santianmen notifications@github.com wrote:

I know what "NaN" means. I was hoping that by transforming the dataset into a dataframe and then returning back, the dataset variables would recover its original shape.

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   NaN values for variables when converting from a pandas dataframe to xarray.DataSet 454073421
501121539 https://github.com/pydata/xarray/issues/3007#issuecomment-501121539 https://api.github.com/repos/pydata/xarray/issues/3007 MDEyOklzc3VlQ29tbWVudDUwMTEyMTUzOQ== shoyer 1217238 2019-06-12T05:02:56Z 2019-06-12T05:02:56Z MEMBER

In xarray and pandas, "NaN" just means "missing value". This typically happens if your DataFrame does not contain a row for every combination of Dataset coordinates, for whatever reason.

 
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   NaN values for variables when converting from a pandas dataframe to xarray.DataSet 454073421

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