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  • Load fails following squeeze · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
204021074 https://github.com/pydata/xarray/issues/813#issuecomment-204021074 https://api.github.com/repos/pydata/xarray/issues/813 MDEyOklzc3VlQ29tbWVudDIwNDAyMTA3NA== pwolfram 4295853 2016-03-31T17:00:00Z 2016-03-31T17:00:00Z CONTRIBUTOR

For reference, the data in acase.isel(Nb=layernum).sel(Np=np.where(idx)[1]) is

<xarray.Dataset> Dimensions: (Np: 1449, Nr: 1, Nt-1: 27, Time: 28) Coordinates: yearoffset |S4 '1700' Nb float64 1.029e+03 rlzn (Nr) int64 0 time (Time) datetime64[ns] 1724-01-01 1724-01-02 1724-01-03 ... * Np (Np) int64 18295 18296 18297 18298 18299 18300 18301 ... * Nr (Nr) int64 0 * Nt-1 (Nt-1) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ... * Time (Time) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 ... Data variables: lat (Nr, Time, Np) float64 4.027e+05 4.027e+05 4.027e+05 ... notoutcropped (Nr, Time, Np) int64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ... lon (Nr, Time, Np) float64 4.775e+05 4.825e+05 4.875e+05 ... dtdays (Nr, Nt-1) float64 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 ...

 
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   Load fails following squeeze 144957100

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