1-06python列表类型不同操作的时间效率
2020-12-13 05:03
标签：xtend pytho 运行 append div from end 时间 pen 运行结果： append: 1.253803191 1-06python列表类型不同操作的时间效率 标签：xtend pytho 运行 append div from end 时间 pen 原文地址：https://www.cnblogs.com/echo-kid-coding/p/11126659.htmlfrom timeit import Timer
def t1():
li = []
for i in range(10000):
li.append(i)
def t2():
li = []
for i in range(10000):
li += [i]
def t3():
li = [i for i in range(10000)]
def t4():
li = list(range(10000))
def t5():
li = []
for i in range(10000):
li.extend([i])
def t6():
li=[]
for i in range(10000):
li.insert(0,i)
timer1 = Timer("t1()","from __main__ import t1")
print("append:", timer1.timeit(1000))
timer2 = Timer("t2()","from __main__ import t2")
print("+:", timer2.timeit(1000))
timer3 = Timer("t3()","from __main__ import t3")
print("[i for i in range]:", timer3.timeit(1000))
timer4= Timer("t4()","from __main__ import t4")
print("list(range()):", timer4.timeit(1000))
timer5= Timer("t5()","from __main__ import t5")
print("extend:", timer5.timeit(1000))
timer6= Timer("t6()","from __main__ import t6")
print("insert:", timer6.timeit(1000))
+: 1.6207985829999998
[i for i in range]: 0.4072384659999999
list(range()): 0.22763614999999993
extend: 1.818385053
insert: 31.748338614999998