文章目录
1、高阶函数map与reduce
from functools import reduce
'''
def myMap(func, li):
reslist = []
for parase in li:
res = func(parase)
reslist.append(res)
'''
def chr2int(chr):
return {"0":0, "1":1, "2":2, "3":3, "4":4, "5":5, "6":6, "7":7, "8":8, "9":9}[chr]
list1 = ["2", "1", "6", "5"]
res = map(chr2int, list1)
print(res)
l = map(str, [1, 2, 3, 4])
print(list(l))
list2 = [1, 2, 3, 4, 5]
def mySum(x, y):
return x + y
r = reduce(mySum, list2)
print("r =", r)
def str2int(str):
def fc(x, y):
return x * 10 + y
def fs(chr):
return {"0": 0, "1": 1, "2": 2, "3": 3, "4": 4, "5": 5, "6": 6, "7": 7, "8": 8, "9": 9}[chr]
return reduce(fc, map(fs, list(str)))
a = str2int("12367")
print(a)
print(type(a))
2、高阶函数filter
'''
原型:filter(fn, lsd)
参数1为函数
参数2为序列
功能:用于过滤序列
把传入的函数依次作用于序列每个函数,根据返回的是TRUE还是false决定是否保留该函数
'''
list1 = [1, 2, 3, 4, 5, 6, 7, 8, 9]
def func(num):
if num%2 ==0:
return True
return False
l = filter(func, list1)
print(list(l))
print("****************************************************")
data = [["姓名", "年龄," "爱好"], ["tom", 25, "无"], ["hanmeimei", 26,"金钱"]]
def func2(value):
value = str(value)
if value == "无":
return False
return True
for line in data:
m = filter(func2, line)
print(list(m))
3、高阶函数sorted
'''
排序:冒泡排序,选择排序, 快速,插入,计数器
原型:sorted(fn, lsd)
参数1为函数
参数2为序列
功能:
'''
list1 = [4, 7, 2, 6, 3]
list2 = sorted(list1)
print(list1)
print(list2)
list3 = [4, -7, 2, 6, -3]
list4 = sorted(list3, key=abs)
print(list3)
print(list4)
list5 = [4, 7, 2, 6, 3]
list6 = sorted(list5, reverse=True)
print(list5)
print(list6)
list7 = ["b", "a", "c", "d"]
list8 = sorted(list7)
print(list7)
print(list8)
list71 = ["b333", "a1111111", "c22", "d5554"]
list81 = sorted(list71)
print(list71)
print(list81)
def myLen(str):
return len(str)
list72 = ["b333", "a1111111", "c22", "d5554"]
list82 = sorted(list72, key=myLen)
print(list72)
print(list82)