### Issue Description Specifying `dtype=pd.Float64Dtype()` while creating a pandas dataFrame leads to inconsistent results in using `series.isnull()` vs. `series.apply(pd.isnull)`. If I don't specify ...
Using value = null works so this isn't super important, mostly stylistic. FSharpLint will suggest using isNull instead but following this suggestion leads to code that doesn't work.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback