首页 > 编程语言 > 详细

Python 开发中高级技巧

时间:2019-03-03 14:33:06      阅读:160      评论:0      收藏:0      [点我收藏+]

列表推导式

>>> chars = [ c for c in python ]
>>> chars
[p, y, t, h, o, n]

字典推导式

>>> dict1 = {a: 1, b: 2, c: 3, d: 4, e: 5}
>>> double_dict1 = {k:v*2 for (k,v) in dict1.items()}
>>> double_dict1
{a: 2, b: 4, c: 6, d: 8, e: 10}

集合推导式

>>> set1 = {1,2,3,4}
>>> double_set = {i*2 for i in set1}
>>> double_set
{8, 2, 4, 6}

合并字典

>>> x = {a:1,b:2}
>>> y = {c:3, d:4}
>>> z = {**x, **y}
>>> z
{a: 1, b: 2, c: 3, d: 4}

复制列表

>>> nums = [1,2,3]
>>> nums[::]
[1, 2, 3]
>>> copy_nums = nums[::]
>>> copy_nums
[1, 2, 3]

反转列表

>>> reverse_nums = nums[::-1]
>>> reverse_nums
[3, 2, 1]

变量交换

>>> a,b = 1, 2
>>> a ,b = b,a
>>> a
2
>>> b
1

高级拆包

>>> a, *b = 1,2,3
>>> a
1
>>> b
[2, 3]
或者

>>> a, *b, c = 1,2,3,4,5
>>> a
1
>>> b
[2, 3, 4]
>>> c
5

 

函数返回多个值(其实是自动packing成元组)然后unpacking赋值给4个变量

>>> def f():
...     return 1, 2, 3, 4
...
>>> a, b, c, d = f()
>>> a
1
>>> d
4

列表合并成字符串

>>> " ".join(["I", "Love", "Python"])
I Love Python

链式比较

>>> if a > 2 and a < 5:
...     pass
...
>>> if 2<a<5:
...     pass

yield from

# 没有使用 field from
def dup(n):
    for i in range(n):
        yield i
        yield i

# 使用yield from
def dup(n):
    for i in range(n):
    yield from [i, i]

for i in dup(3):
    print(i)

>>>
0
0
1
1
2
2

in 代替 or

>>> if x == 1 or x == 2 or x == 3:
...     pass
...
>>> if x in (1,2,3):
...     pass

字典代替多个if else

def fun(x):
    if x == a:
        return 1
    elif x == b:
        return 2
    else:
        return None

def fun(x):
    return {"a": 1, "b": 2}.get(x)

有下标索引的枚举

>>> for i, e in enumerate(["a","b","c"]):
...     print(i, e)
...
0 a
1 b
2 c

生成器

注意区分列表推导式,生成器效率更高

>>> g = (i**2 for i in range(5))
>>> g
<generator object <genexpr> at 0x10881e518>
>>> for i in g:
...     print(i)
...
0
1
4
9
16

默认字典 defaultdict

>>> d = dict()
>>> d[nums]
KeyError: nums
>>>

>>> from collections import defaultdict
>>> d = defaultdict(list)
>>> d["nums"]
[]

字符串格式化

>>> lang = python
>>> f{lang} is most popular language in the world
python is most popular language in the world

列表中出现次数最多的元素

>>> nums = [1,2,3,3]
>>> max(set(nums), key=nums.count)
3

或者
from collections import Counter
>>> Counter(nums).most_common()[0][0]
3

读写文件

>>> with open("test.txt", "w") as f:
...     f.writelines("hello")

判断对象类型,可指定多个类型

>>> isinstance(a, (int, str))
True
类似的还有字符串的 startswith,endswith

>>> "http://foofish.net".startswith((http,https))
True
>>> "https://foofish.net".startswith((http,https))
True

__str__ 与 __repr__ 区别

>>> str(datetime.now())
2018-11-20 00:31:54.839605
>>> repr(datetime.now())
datetime.datetime(2018, 11, 20, 0, 32, 0, 579521)

前者对人友好,可读性更强,后者对计算机友好,支持 obj == eval(repr(obj))

使用装饰器

def makebold(f):
return lambda: "<b>" + f() + "</b>"

def makeitalic(f):
return lambda: "<i>" + f() + "</i>"

@makebold
@makeitalic
def say():
return "Hello"

>>> say()
<b><i>Hello</i></b>
不使用装饰器,可读性非常差


def say():
return "Hello"

>>> makebold(makeitalic(say))()
<b><i>Hello</i></b>

Python 开发中高级技巧

原文:https://www.cnblogs.com/yidashi110/p/10464995.html

(0)
(0)
   
举报
评论 一句话评论(0
关于我们 - 联系我们 - 留言反馈 - 联系我们:wmxa8@hotmail.com
© 2014 bubuko.com 版权所有
打开技术之扣,分享程序人生!