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https://github.com/pydata/xarray/issues/7871#issuecomment-1560584420 https://api.github.com/repos/pydata/xarray/issues/7871 1560584420 IC_kwDOAMm_X85dBKDk 7091088 2023-05-24T07:22:13Z 2023-05-24T07:22:13Z NONE

Thanks alot for responding, but,

python da = ds['z'] da = da.where(da.isnull(), drop=True) is for pciking nan values? Because the data array has all 'nan' values

when I plot: I get,

I need to use data that has no empty cells for further analysis.

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