Re: [Numpy-discussion] isnan() equivalent for np.NaT?

Agreed -- this would be really nice to have. For now, the best you can do is something like the following: def is_na(x): x = np.asarray(x) if np.issubdtype(x.dtype, (np.datetime64, np.timedelta64)): # ugh int_min = np.iinfo(np.int64).min return x.view('int64') == int_min

Re: [Numpy-discussion] isnan() equivalent for np.NaT?

On 18 July 2016 at 22:20, Scott Sanderson wrote: > I'm working on upgrading Zipline (github.com/quantopian/zipline) to the > latest numpy, and I'm getting a FutureWarnings about the upcoming change in > the behavior of comparisons on np.NaT. I'd like to be able to do

[Numpy-discussion] isnan() equivalent for np.NaT?

Hi All, I'm working on upgrading Zipline (github.com/quantopian/zipline) to the latest numpy, and I'm getting a FutureWarnings about the upcoming change in the behavior of comparisons on np.NaT. I'd like to be able to do checks for NaT in a way that's forwards-compatible, but I couldn't find a