Hi all, In NumPy 1.21, the output of `np.unique` changed in the presence of multiple NaNs. Previously, all NaNs were returned when we now only return one (all NaNs were considered unique):
a = np.array([1, 1, np.nan, np.nan, np.nan])
Before 1.21:
>>> np.unique(a)
array([ 1., nan, nan, nan])
After 1.21:
array([ 1., nan])
This change was requested in an old issue:
https://github.com/numpy/numpy/issues/2111
And happened here:
https://github.com/numpy/numpy/pull/18070
While, it has a release note. I am not sure the change got the
attention it deserved. This would be especially worrying if it is a
regression for anyone?
Cheers,
Sebastian
PS: One additional note, is that this does not work for object arrays
(it cannot reasonable):
>>> np.unique(a.astype(object))
array([1.0, nan, nan, nan], dtype=object)
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