When the i.-family is applied to (floats with rank > 1), tolerantly, it
can slow down, especially if the first column has few different values.
Using !.0 can make that faster.
If you have other examples of slow nub, I'd like to hear the details.
Henry Rich
On 4/5/2018 6:20 AM, Raul Miller wrote:
And, on that note, I have noticed ~. has sometimes been slow on
moderately large datasets (1e7 < #)
One tactic that might help for getting a small nub might be to sort
and then look for where it changes.
I hope this helps,
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