As soon as I posted that I realized it's due to the type conversions from True
to 1. For some reason, this
---
myMat=scipy.randn(500,500)
t1=time.time()
highEnough=(myMat>0.6)+0
greaterPerLine=[sum(x) for x in highEnough]
elapsed1=time.time()-t1
print("method 1 took %f seconds"%elapsed1)
---
rem
Hi Everyone,
I'm new to numpy, and I'm finding it hard to predict what is fast in
python/numpy and what is slow. The following seems puzzling: I am doing the
same thing an ugly way and a cleaner way. But the ugly map/lambda/filter
expression is 15x faster than using numpy's internals.
Can anyon
