import numpy as np

import time

import matplotlib.pyplot as plt

def test1(n):

lst=[]

for i in range(n):

lst+=[i]

return lst

def test2(n):

lst=[]

for i in range(n):

lst.append(i)

return lst

def test3(n):

return [i for i in range(n)]

def test4(n):

return list(range(n))

def test5(n):

return list(np.arange(n))

def test1_time(n):

t1=time.time()

test1(n)

t2=time.time()

return t2-t1

def test2_time(n):

t1=time.time()

test2(n)

t2=time.time()

return t2-t1

def test3_time(n):

t1=time.time()

test3(n)

t2=time.time()

return t2-t1

def test4_time(n):

t1=time.time()

test4(n)

t2=time.time()

return t2-t1

def test5_time(n):

t1=time.time()

test5(n)

t2=time.time()

return t2-t1

x=list(range(10000,500000,10000))

y1=[test1_time(i) for i in x]

y2=[test2_time(i) for i in x]

y3=[test3_time(i) for i in x]

y4=[test4_time(i) for i in x]

y5=[test5_time(i) for i in x]

plt.plot(x,y1,color='red')

plt.plot(x,y2,color='green')

plt.plot(x,y3,color='yellow')

plt.plot(x,y4,color='blue')

plt.plot(x,y5,color='black')

plt.legend(["test1", "test2","test3","test4","test5"])

plt.show()

从构造的时间上来看，应该首先用list(range(n))来进行，其次用numpy.arange(n)。其他的可以不考虑推荐了。