numpy的快体现在哪儿

1、本文主要对传统for循环&＃xff0c;sum函数&＃xff0c;以及numpy包中的sum函数的执行快慢进行比较

for循环&＃xff1a;

sum_by_for&＃61;"""
for d in data:s&＃43;&＃61;d
"""

sum函数&＃xff1a;

sum_by_sum&＃61;"""
sum(data)
"""

numpy中的sum函数&＃xff1a;

sum_by_numpy&＃61;"""
import numpy
numpy.sum(data)
"""

2、本文针对上述三种方法&＃xff0c;分别对list&＃xff0c;array和numpy数据形式用上述三种方法进行比较&＃xff1a;

list&＃xff1a;

def timeit_using_list(n,loops):list_setup&＃61;"""
data&＃61;[1]*{}
s&＃61;0
""".format(n)print(&＃39;list result:&＃39;)print(timeit.timeit(sum_by_for,list_setup,number&＃61;loops))print(timeit.timeit(sum_by_sum,list_setup,number&＃61;loops))print(timeit.timeit(sum_by_numpy,list_setup,number&＃61;loops))

array&＃xff1a;

def timeit_using_array(n,loops):array_setup&＃61;"""
import array
data&＃61;array.array(&＃39;L&＃39;,[1]*{})
s&＃61;0
""".format(n)print(&＃39;array result:&＃39;)print(timeit.timeit(sum_by_for,array_setup,number&＃61;loops))print(timeit.timeit(sum_by_sum,array_setup,number&＃61;loops))print(timeit.timeit(sum_by_numpy,array_setup,number&＃61;loops))def

numpy:

def timeit_using_numpy(n,loops):numpy_setup&＃61;"""
import numpy
data&＃61;numpy.array([1]*{})
s&＃61;0
""".format(n)print(&＃39;numpy result:&＃39;)print(timeit.timeit(sum_by_for,numpy_setup,number&＃61;loops))print(timeit.timeit(sum_by_sum,numpy_setup,number&＃61;loops))print(timeit.timeit(sum_by_numpy,numpy_setup,number&＃61;loops))

3、实验结果对比

全部代码&＃xff1a;

import timeitsum_by_for&＃61;"""
for d in data:s&＃43;&＃61;d
"""sum_by_sum&＃61;"""
sum(data)
"""sum_by_numpy&＃61;"""
import numpy
numpy.sum(data)
"""def timeit_using_list(n,loops):list_setup&＃61;"""
data&＃61;[1]*{}
s&＃61;0
""".format(n)print(&＃39;list result:&＃39;)print(timeit.timeit(sum_by_for,list_setup,number&＃61;loops))print(timeit.timeit(sum_by_sum,list_setup,number&＃61;loops))print(timeit.timeit(sum_by_numpy,list_setup,number&＃61;loops))def timeit_using_array(n,loops):array_setup&＃61;"""
import array
data&＃61;array.array(&＃39;L&＃39;,[1]*{})
s&＃61;0
""".format(n)print(&＃39;array result:&＃39;)print(timeit.timeit(sum_by_for,array_setup,number&＃61;loops))print(timeit.timeit(sum_by_sum,array_setup,number&＃61;loops))print(timeit.timeit(sum_by_numpy,array_setup,number&＃61;loops))def timeit_using_numpy(n,loops):numpy_setup&＃61;"""
import numpy
data&＃61;numpy.array([1]*{})
s&＃61;0
""".format(n)print(&＃39;numpy result:&＃39;)print(timeit.timeit(sum_by_for,numpy_setup,number&＃61;loops))print(timeit.timeit(sum_by_sum,numpy_setup,number&＃61;loops))print(timeit.timeit(sum_by_numpy,numpy_setup,number&＃61;loops))if __name__&＃61;&＃61;&＃39;__main__&＃39;:timeit_using_list(30000,500)timeit_using_array(30000,500)timeit_using_numpy(30000,500)