This is a good place for numba if performance and memory use are a concern.
Good NumPy
125 ms ± 2.42 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
Naive numba (memory efficient)
386 ms ± 1.83 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
Parallel numba (memory efficient, cpu bo
I think one aspect that would be hard to think about is how the tiling
would happen when broadcasting from K -> N where N/K is an integer. There
are at least 2 different ways to tile that would produce different results.
Suppose you have the array
[[1, 2, 3]]
which is (1,3). If you wanted to bro
Can anyone shed some light on the expected behavior of code using
array(..., copy=True) with pandas objects? We ran into this in statsmodels
and I think there are probably plenty of places where we explicitly call
array(..., copy=True) and think we should have a totally independent copy
of the data
