python与算法:python构造整数列表的方法总结并且计算构造效率

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()