import numpy as np
#import pandas as pd
import time
time_np1 = time.time()
a = np.arange(1,10001,dtype='float')
#print(a)
#a = a.astype(float)
for i in np.arange(len(a)-1):
a[i+1] = a[i] * 0.98643
#print(a)
time_np2 = time.time()
timenp = time_np2 - time_np1
print(timenp)
#1百次打印前后数组 5ms, 4.3ms，不打印太快了时间测不出来
#1万次 15.6ms,15.6ms,15.6ms
time_py1 = time.time()
b = [i for i in range(1,10001)]
#print(b)
for i in range(len(b)-1):
b[i+1] = b[i] * 0.98643
#print(b)
time_py2 = time.time()
timepy = time_py2 - time_py1
print(timepy)
#1百次打印前后列表 2ms, 2ms
#1万次 7.8ms,3.7ms,9.1ms
Python的列表也是经过优化的。
你把测试集扩大点试试，比如测100万次，500万次