Maximilian Roos

Ah excellent, thanks @headtr1ck

(FYI I had been the mypy person here — for my sins — but I think this is beyond my understanding — so putting an issue into mypy might be...

I see a few 👍 — but is this def OK? @shoyer maybe this needs your approval

It looks lie many of these occur in pandas code — do pandas tests pass?

What are the bogus values? Please could you answer the question on whether pandas tests pass?

I'm not sure what that has to do with xarray though? Does this give the same result? ``` import numpy as np import pandas as pd num_dates = np.asarray([0., np.nan])...

Closing but please feel free to reopen

> I got the same result in riscv64. One thing I could guess is that the sign bit of NaN is not kept during conversions. Some more details could be...

> I always thought that these two methods are incompatible. But I guess ... Is synonym for None (= all dims) and if ... Appears in an iterable, it just...

> Nothing wrong with None, it is just pythons default. > > The intention of `replace_none=False` was to leave None as None, which is important for some low level functions...