Hi all,
On my system, np.nanpercentile() is orders of magnitude (>100x) slower
than np.percentile().
I use numpy 1.23.1
Wondering if there is a way to speed it up.
I came across this workaround for 3D arrays:
https://krstn.eu/np.nanpercentile()-there-has-to-be-a-faster-way/
But I would need a generalized solution that works on N dimensions.
So I started adopting the above - but wondering if I am reinventing the
wheel here?
Is there already a python package that implements a speedier
nanpercentile for numpy? (similar idea as the 'Bottleneck' package?)
Or other known workarounds to achieve the same result?
Best regards,
Aron
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