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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
1723010051 I_kwDOAMm_X85mswwD 7871 Nan Values never get deleted gkb999 7091088 closed 0     12 2023-05-24T01:13:41Z 2023-05-30T14:40:51Z 2023-05-30T14:40:50Z NONE      

What is your issue?

Hi team, This could be pretty basic, but I'm missing where I'm going wrong My xarray dataset : python <xarray.Dataset> Dimensions: (x: 171, y: 128, time: 3287, bnds: 2) Coordinates: * x (x) float64 -5.344e+05 -5.281e+05 ... 5.281e+05 * y (y) float64 -1.959e+06 -1.953e+06 ... -1.166e+06 * time (time) datetime64[ns] 2013-01-01 ... 2021-12-31 Dimensions without coordinates: bnds Data variables: polar_stereographic int32 ... z (time, y, x) float32 nan nan nan nan ... nan nan nan x_bnds (x, bnds) float64 ... time_bnds (time, bnds) datetime64[ns] ... Attributes: author: University of Bremen, Gunnar Spreen [gunnar.spreen@uni-brem... Conventions: CF-1.5 GMT_version: 5.2.1 (r15220) [64-bit] [MP] history: Mon Jan 21 19:54:59 2019: GDAL CreateCopy( /ssmi/www/htdocs... info: AMSR2 sea ice concentration based on the ASI algorithm (Spr... title: Produced by grdmath GDAL: GDAL 2.1.3, released 2017/20/01 Converted to dataframe to drop "Nan" values

I used python df = ds['z'].to_dataframe().dropna() Looks fine now

But, after saving it back to xarray python ds = df.to_xarray() the Nan values never dropped and can be seen.

Where am I going wrong?

Also, I'm assuming dropna() would by default drop all nan's in all dimensions. (Ref: 1)https://www.digitalocean.com/community/tutorials/pandas-dropna-drop-null-na-values-from-dataframe 2) https://stackoverflow.com/questions/39128856/python-drop-row-if-two-columns-are-nan)

Also, if I'm trying to drop along column's,
something like: python df2.dropna(subset=[1, 2], axis=1) it rasies error. Ref screenshot:

Any help would be highly appreciated

 
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   completed xarray 13221727 issue

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