What is fastest way to compute average of python array different elements with condition?
Clash Royale CLAN TAG#URR8PPPWhat is fastest way to compute average of python array different elements with condition?
I have phyton code below which executed about 2s.
Equivalent code in C language executed in 31ms.
#!/usr/bin/env python
import time
import numpy as np
dd = np.random.randint(0, 20, size=(2*1000*1000))
t0= time.clock()
avg_sum1=0.0
BlockOffset = 0
while BlockOffset < len(dd):
if dd[BlockOffset + 1] <= 10:
avg_sum1 = dd[BlockOffset + 1] * 0.1
else:
avg_sum1 = dd[BlockOffset + 0] * 0.01
BlockOffset+=2
print('Avg: ' + str( avg_sum1/len(dd)/2 ) )
print('Exe time: '+ str(time.clock() - t0) )
What is fastest way to to do this with built in functions or numpy?
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