issue_comments: 1351814726

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https://github.com/pydata/xarray/issues/7377#issuecomment-1351814726 https://api.github.com/repos/pydata/xarray/issues/7377 1351814726 IC_kwDOAMm_X85Qkw5G 56583917 2022-12-14T17:23:10Z 2022-12-14T17:23:10Z CONTRIBUTOR

This issue has an extra layer of evilness because users will also run into this issue when they don't specify the skipna parameter and their data is a float dtype, like in my example dummy data: da.quantile(0.95, dim='time')

The documentation could be a little bit clearer. The fact that skipna=True is the default for float dtypes could easily be overlooked in my opinion:

If True, skip missing values (as marked by NaN). By default, only skips missing values for float dtypes;

 
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