On 27.08.2021 09:58, Serhiy Storchaka wrote:
26.08.21 12:05, Marc-Andre Lemburg пише:
Oh, good point. I was under the impression that NAN is handled as a singleton.
Perhaps this should be changed to make to make it easier to detect NANs ?!
Even ignoring a NaN payload, there are many different NaNs of different types. For example, Decimal('nan') cannot be the same as float('nan').
Right, it's a much larger problem than I thought :-) cmath has its own NANs as well. Too many NANs... it's probably better to stick with NumPy for handling data sets with embedded NANs. It provides consistent handling for NANs across integers, floats, complex and even date/time values (as NATs). -- Marc-Andre Lemburg eGenix.com Professional Python Services directly from the Experts (#1, Aug 27 2021)
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