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+--- Thread: Multiprocessing using on multiple for loops (/thread-20090.html)
Multiprocessing using on multiple for loops - Staph - Jul-27-2019
AS5_all = []
n= 500
for i in range n:
for x in range(len(lat)):
for y in range(len(lon)):
lst = np.array((AS[:, x, y]))
rs = resample(lst)
rs_all[:, x, y] = rs
AS5 = AS1.rolling(time=59).reduce(np.nanpercentile, q=5)
AS5_all.append(AS5)
RE: Multiprocessing using on multiple for loops - micseydel - Jul-27-2019
Did you have a question?
RE: Multiprocessing using on multiple for loops - Staph - Jul-28-2019
Yes sorry it didnt get typed. I wanted to ask how I can use multiprocessing to speed up this code in python?
RE: Multiprocessing using on multiple for loops - ThomasL - Jul-28-2019
Maybe if you specify a little bit more detailed what you want to achieve with that code snippet
and the wider meaning of what you are working on.
3 nested for loops is likely a slow process and as you are already working with numpy
there maybe a function/method in numpy/scipy/sympy that does the same but 1000 times faster.