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reference/docs/python.md
Weidong Guo f7c2d6555f
doc: update docs/python.md (#564) 
when we installed pipenv pkg, we can't run pipenv install command on our local shell, because maybe we didn't have the site-package-bin dir in system $PATH, so we need to add it firstly.
2024-03-10 12:19:42 +08:00

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Python 3 备忘清单
===
Python 备忘单是 [Python 3](https://www.python.org/) 编程语言的单页参考表
入门
-----
### 介绍
- [Python 官方网站](https://www.python.org/) _(python.org)_
- [Python 文档](https://docs.python.org/zh-cn/3/index.html) _(docs.python.org)_
- [Y 分钟学会 Python](https://learnxinyminutes.com/docs/zh-cn/python-cn/) _(learnxinyminutes.com)_
- [Python 中的正则表达式](./regex.md#python-中的正则表达式) _(jaywcjlove.github.io)_
### 控制台打印
```python
>>> print("Hello, World!")
Hello, World!
```
著名的“Hello World”程序在 Python 中的实现
### 变量
```python
age = 18 # 年龄是 int 类型
name = "John" # 名字现在是 str 类型
print(name)
```
- Python 不能在没有赋值的情况下声明变量
- 变量可以存放不同类型的值
### 内置数据类型
<!--rehype:wrap-class=row-span-2-->
序列指一批有序的元素，集合指一批无序且不重复的元素
| :- | :- |
|:----------------------------------------|:-----------------|
| `str` | 文本／字符串（Text） |
| `int`, `float`, `complex` | 数值（Numeric） |
| `dict` | 映射／键值对（Mapping） |
| `list`, `tuple`, `range` | 序列（Sequence） |
| `set`, `frozenset` | 集合（Set） |
| `bool` | 布尔值／逻辑值（Boolean） |
| `bytes`, `bytearray`, <br> `memoryview` | 二进制数据（Binary） |
查看: [数据类型](#python-数据类型)
### 字符串切片
```python
>>> msg = "Hello, World!"
>>> print(msg[2:5])
llo
```
查看: [字符串](#python-字符串)
### 列表
```python
mylist = []
mylist.append(1)
mylist.append(2)
for item in mylist:
print(item) # 打印输出 1,2
```
查看: [列表](#python-列表)
### 判断
```python
num = 200
if num > 0:
print("num is greater than 0")
else:
print("num is not greater than 0")
```
查看: [判断](#python-判断)
### 循环
```python
for item in range(6):
if item == 3: break
print(item)
else:
print("Finally finished!")
```
查看: [循环](#python-循环)
### 函数
```python
>>> def my_function():
... print("来自函数的你好")
...
>>> my_function()
来自函数的你好
```
查看: [函数](#函数)
### 文件处理
<!--rehype:wrap-class=col-span-2-->
```python
with open("myfile.txt", "r", encoding='utf8') as file:
for line in file:
print(line)
```
查看: [文件处理](#python-文件处理)
### 算术
```python
result = 10 + 30 # => 40
result = 40 - 10 # => 30
result = 50 * 5 # => 250
result = 16 / 4 # => 4.0 (Float Division)
result = 16 // 4 # => 4 (Integer Division)
result = 25 % 2 # => 1
result = 5 ** 3 # => 125
```
`/` 表示 x 和 y 的商，`//` 表示 x 和 y 的底商，另见 [StackOverflow](https://stackoverflow.com/a/183870/13192320)
### 加等于
```python
counter = 0
counter += 10 # => 10
counter = 0
counter = counter + 10 # => 10
message = "Part 1."
# => Part 1.Part 2.
message += "Part 2."
```
### f-字符串 (Python 3.6+)
```python
>>> website = 'Quick Reference'
>>> f"Hello, {website}"
"Hello, Quick Reference"
>>> num = 10
>>> f'{num} + 10 = {num + 10}'
'10 + 10 = 20'
```
查看: [f-字符串](#python-f-字符串-python-36)
Python 数据类型
---------------
### 字符串
```python
hello = "Hello World"
hello = 'Hello World'
multi_string = """Multiline Strings
Lorem ipsum dolor sit amet,
consectetur adipiscing elit """
```
查看: [字符串](#python-字符串)
### 数值
```python
x = 1 # 整数
y = 2.8 # 浮点小数
z = 1j # 复数
>>> print(type(x))
<class 'int'>
```
只要内存足够，可以容纳无限大(小)的数值
### 布尔值
```python
my_bool = True
my_bool = False
bool(0) # => False
bool(1) # => True
```
bool 是 int 的子类
### 列表
```python
list1 = ["apple", "banana", "cherry"]
list2 = [True, False, False]
list3 = [1, 5, 7, 9, 3]
list4 = list((1, 5, 7, 9, 3))
```
查看: [列表](#python-列表)
### 元组
```python
my_tuple = (1, 2, 3)
my_tuple = tuple((1, 2, 3))
```
类似列表，但自身不可变
### 集合
```python
set1 = {"a", "b", "c"}
set2 = set(("a", "b", "c"))
```
类似列表，但里面的元素是无序而不重复的
### 字典
```python
>>> empty_dict = {}
>>> a = {"one": 1, "two": 2, "three": 3}
>>> a["one"]
1
>>> a.keys()
dict_keys(['one', 'two', 'three'])
>>> a.values()
dict_values([1, 2, 3])
>>> a.update({"four": 4})
>>> a.keys()
dict_keys(['one', 'two', 'three', 'four'])
>>> a['four']
4
```
键-值对，一种像 JSON 那样对象
### 类型转换
#### 转换为整数
```python
x = int(1) # 得到 1
y = int(2.8) # 得到 2
z = int("3") # 得到 3
```
#### 转换为浮点数
```python
x = float(1) # 得到 1.0
y = float(2.8) # 得到 2.8
z = float("3") # 得到 3.0
w = float("4.2") # 得到 4.2
```
#### 转换为字符串
```python
x = str("s1") # 得到 "s1"
y = str(2) # 得到 "2"
z = str(3.0) # 得到 "3.0"
```
Python 字符串
------------
### 下标访问
```python
>>> hello = "Hello, World"
>>> print(hello[1]) # 获取第二个字符
e
>>> print(hello[-1]) # 获取倒数第一个字符
d
>>> print(type(hello[-1])) # 得到的还是字符串
<class 'str'>
```
### 循环
```python
>>> for char in "foo":
... print(char)
f
o
o
```
对字符串 for-in 可以得到每个字符（类型还是字符串）
### 切割字符串
<!--rehype:wrap-class=row-span-4-->
```java
┌───┬───┬───┬───┬───┬───┬───┐
| m | y | b | a | c | o | n |
└───┴───┴───┴───┴───┴───┴───┘
0 1 2 3 4 5 6 7
-7 -6 -5 -4 -3 -2 -1
```
---
```python
>>> s = 'mybacon'
>>> s[2:5]
'bac'
>>> s[0:2]
'my'
```
---
```python
>>> s = 'mybacon'
>>> s[:2]
'my'
>>> s[2:]
'bacon'
>>> s[:2] + s[2:]
'mybacon'
>>> s[:]
'mybacon'
```
---
```python
>>> s = 'mybacon'
>>> s[-5:-1]
'baco'
>>> s[2:6]
'baco'
```
#### 步长
```python
>>> s = '12345' * 5
>>> s
'1234512345123451234512345'
>>> s[::5]
'11111'
>>> s[4::5]
'55555'
>>> s[::-5]
'55555'
>>> s[::-1]
'5432154321543215432154321'
```
### 获取长度
```python
>>> hello = "Hello, World!"
>>> print(len(hello))
13
```
`len()` 函数返回字符串的长度
### 重复多次
```python
>>> s = '===+'
>>> n = 8
>>> s * n
'===+===+===+===+===+===+===+===+'
```
### 存在性判断
```python
>>> s = 'spam'
>>> s in 'I saw spamalot!'
True
>>> s not in 'I saw The Holy Grail!'
True
```
判断 "spam" 这个字符串是否在其它字符串里
### 字符串拼接
```python
>>> s = 'spam'
>>> t = 'egg'
>>> s + t # 可以使用加号进行拼接
'spamegg'
>>> 'spam' 'egg' # 两个字符串之间可以省略加号
'spamegg'
```
### 格式化
<!--rehype:wrap-class=col-span-2-->
```python
name = "John"
print("Hello, %s!" % name)
```
---
```python
name = "John"
age = 23
print("%s is %d years old." % (name, age))
```
#### format() 方法
```python
txt1 = "My name is {fname}, I'm {age}".format(fname="John", age=36)
txt2 = "My name is {0}, I'm {1}".format("John", 36)
txt3 = "My name is {}, I'm {}".format("John", 36)
```
### 转义符号
<!--rehype:wrap-class=row-span-2-->
| 转义符号 | 对应的操作 |
|------|--------|
| `\\` | 输出反斜杠 |
| `\'` | 输出单引号 |
| `\"` | 输出双引号 |
| `\n` | 换行 |
| `\t` | 水平制表符 |
| `\r` | 光标回到首位 |
| `\b` | 退格 |
### 控制台输入
```python
>>> name = input("Enter your name: ")
Enter your name: Tom
>>> name
'Tom'
```
从控制台获取输入数据
### 头尾判断
<!--rehype:wrap-class=row-span-2-->
```python
>>> # 是否以 H 开头
>>> "Hello, world!".startswith("H")
True
>>> # 是否以 h 开头
>>> "Hello, world!".startswith("h")
False
>>> # 是否以 ! 结尾
>>> "Hello, world!".endswith("!")
True
```
### 插入分隔符拼接
```python
>>> "、".join(["John", "Peter", "Vicky"])
'John、Peter、Vicky'
```
Python f-字符串 (Python 3.6+)
----------------
### f-字符串 用法
<!--rehype:wrap-class=row-span-2-->
```python
>>> website = 'Reference'
>>> f"Hello, {website}"
"Hello, Reference"
>>> num = 10
>>> f'{num} + 10 = {num + 10}'
'10 + 10 = 20'
>>> f"""He said {"I'm John"}"""
"He said I'm John"
>>> f'5 {"{stars}"}'
'5 {stars}'
>>> f'{{5}} {"stars"}'
'{5} stars'
>>> name = 'Eric'
>>> age = 27
>>> f"""Hello!
... I'm {name}.
... I'm {age}."""
"Hello!\n I'm Eric.\n I'm 27."
```
它从 Python 3.6 开始可用，另见: [格式字符串字面值](https://docs.python.org/zh-cn/3/reference/lexical_analysis.html#f-strings)
### 填充对齐
```python
>>> f'{"text":10}' # 使用空格填充到指定长度
'text '
>>> f'{"test":*>10}' # 向左填充
'******test'
>>> f'{"test":*<10}' # 向右填充
'test******'
>>> f'{"test":*^10}' # 居中填充
'***test***'
>>> f'{12345:0>10}' # 使用数字填充
'0000012345'
```
### 按类型输出
<!--rehype:wrap-class=row-span-2-->
```python
>>> f'{10:b}' # 输出二进制数值
'1010'
>>> f'{10:o}' # 输出八进制数值
'12'
>>> f'{200:x}' # 输出十六进制数值
'c8'
>>> f'{200:X}'
'C8'
>>> f'{345600000000:e}' # 科学计数法
'3.456000e+11'
>>> f'{65:c}' # 将整数转化为一个字符后输出
'A'
>>> f'{10:#b}' # [类型] 带符号（基础）
'0b1010'
>>> f'{10:#o}'
'0o12'
>>> f'{10:#x}'
'0xa'
```
### 显示正负号
```python
>>> f'{12345:+}' # 显示正数的正号
'+12345'
>>> f'{-12345:+}' # 显示负数的负号
'-12345'
>>> f'{-12345:+10}' # 显示负号，并使用空格填充，直到长度为 10
' -12345'
>>> f'{-12345:+010}' # 显示负号，并使用0填充，直到长度为 10
'-000012345'
```
### 其它
```python
>>> f'{-12345:0=10}' # 负数
'-000012345'
>>> f'{12345:010}' # [0] 快捷方式（不对齐）
'0000012345'
>>> f'{-12345:010}'
'-000012345'
>>> import math # [.precision]
>>> math.pi
3.141592653589793
>>> f'{math.pi:.2f}'
'3.14'
>>> f'{1000000:,.2f}' # [分组选项]
'1,000,000.00'
>>> f'{1000000:_.2f}'
'1_000_000.00'
>>> f'{0.25:0%}' # 百分比
'25.000000%'
>>> f'{0.25:.0%}'
'25%'
```
Python 列表
------------
### 定义
```python
>>> li1 = []
>>> li1
[]
>>> li2 = [4, 5, 6]
>>> li2
[4, 5, 6]
>>> li3 = list((1, 2, 3))
>>> li3
[1, 2, 3]
>>> li4 = list(range(1, 11))
>>> li4
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
```
### 生成
<!--rehype:wrap-class=col-span-2-->
```python
>>> list(filter(lambda x : x % 2 == 1, range(1, 20)))
[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
>>> [x ** 2 for x in range (1, 11) if x % 2 == 1]
[1, 9, 25, 49, 81]
>>> [x for x in [3, 4, 5, 6, 7] if x > 5]
[6, 7]
>>> list(filter(lambda x: x > 5, [3, 4, 5, 6, 7]))
[6, 7]
```
### 添加元素
```python
>>> li = []
>>> li.append(1)
>>> li
[1]
>>> li.append(2)
>>> li
[1, 2]
>>> li.append(4)
>>> li
[1, 2, 4]
>>> li.append(3)
>>> li
[1, 2, 4, 3]
```
### 切片
<!--rehype:wrap-class=col-span-2 row-span-3-->
列表切片的语法：
```python
a_list[start:end]
a_list[start:end:step]
```
#### 切片
```python
>>> a = ['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[2:5]
['bacon', 'tomato', 'ham']
>>> a[-5:-2]
['egg', 'bacon', 'tomato']
>>> a[1:4]
['egg', 'bacon', 'tomato']
```
#### 省略索引
```python
>>> a[:4]
['spam', 'egg', 'bacon', 'tomato']
>>> a[0:4]
['spam', 'egg', 'bacon', 'tomato']
>>> a[2:]
['bacon', 'tomato', 'ham', 'lobster']
>>> a[2:len(a)]
['bacon', 'tomato', 'ham', 'lobster']
>>> a
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[:]
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
```
#### 间隔索引
```python
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[0:6:2]
['spam', 'bacon', 'ham']
>>> a[1:6:2]
['egg', 'tomato', 'lobster']
>>> a[6:0:-2]
['lobster', 'tomato', 'egg']
>>> a
['spam', 'egg', 'bacon', 'tomato', 'ham', 'lobster']
>>> a[::-1]
['lobster', 'ham', 'tomato', 'bacon', 'egg', 'spam']
```
### 删除
```python
>>> li = ['bread', 'butter', 'milk']
>>> li.pop()
'milk'
>>> li
['bread', 'butter']
>>> del li[0]
>>> li
['butter']
>>> li.remove('butter')
>>> li
[]
```
### 列表边界
```python
>>> li = ['a', 'b', 'c', 'd']
>>> li[0]
'a'
>>> li[-1]
'd'
>>> li[4]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
IndexError: list index out of range
```
### 连接
<!--rehype:wrap-class=row-span-2-->
```python
>>> odd = [1, 3, 5]
>>> odd.extend([9, 11, 13])
>>> odd
[1, 3, 5, 9, 11, 13]
>>> odd = [1, 3, 5]
>>> odd + [9, 11, 13]
[1, 3, 5, 9, 11, 13]
```
### 排序和反转
<!--rehype:wrap-class=row-span-2-->
```python
>>> li = [3, 1, 3, 2, 5]
>>> li.sort()
>>> li
[1, 2, 3, 3, 5]
>>> li.reverse()
>>> li
[5, 3, 3, 2, 1]
```
### 计数
```python
>>> li = [3, 1, 3, 2, 5]
>>> li.count(3)
2
```
### 重复
```python
>>> li = ["re"] * 3
>>> li
['re', 're', 're']
```
### 搜索
```python
>>> nums = [40, 36, 89, 2, 36, 100, 7, -20.5, -999]
>>> nums.index(2)
3
>>> nums.index(100, 3, 7) # 搜索3-7之间的元素
5
>>> nums.index(7, 4) # 搜索4之后的元素
6
```
当寻找一个不存在的值时，抛出`ValueError`。
Python 判断
------------
### if-else
```python
number = int(input('输入一个整数：'))
if number < 0:
print("您输入了一个负数。")
else:
print("您输入了一个非负整数。")
```
### if-elif-else
```python
number = int(input('输入一个整数：'))
if number < 0:
print("您输入了一个负数。")
elif number == 0:
print("您输入了一个 0 。")
else:
print("您输入了一个正数。")
```
### 三目运算
```python
scope = int(input('输入百分制成绩：'))
line = 60
tip = "及格" if scope >= line else "不及格"
# 相当于 scope >= line ? "及格" : "不及格"
print(tip)
```
注意条件是放在中间的
Python 循环
--------
### 一般形式
```python
primes = [2, 3, 5, 7]
for prime in primes:
print(prime)
```
### 带索引
```python
animals = ["dog", "cat", "mouse"]
for i, value in enumerate(animals):
print(i, value)
```
### while 循环
```python
x = 0
while x < 4:
print(x)
x += 1 # Shorthand for x = x + 1
```
### 跳出循环
```python
x = 0
for index in range(10):
x = index * 10
if index == 5:
break
print(x)
```
### 跳过一轮循环
```python
for index in range(3, 8):
x = index * 10
if index == 5:
continue
print(x)
```
### 范围循环
```python
for i in range(4):
print(i) # Prints: 0 1 2 3
for i in range(4, 8):
print(i) # Prints: 4 5 6 7
for i in range(4, 10, 2):
print(i) # Prints: 4 6 8
```
### 使用 zip()
```python
name = ['Pete', 'John', 'Elizabeth']
age = [6, 23, 44]
for n, a in zip(name, age):
print('%s is %d years old' %(n, a))
```
### 列表生成式
<!--rehype:wrap-class=col-span-2-->
```python
result = [x**2 for x in range(10) if x % 2 == 0]
print(result)
# [0, 4, 16, 36, 64]
```
Python 函数
--------
### 基础
```python
def hello_world():
print('Hello, World!')
```
### 返回
```python {3}
def add(x, y):
print("x is %s, y is %s" %(x, y))
return x + y
add(5, 6) # => 11
```
### 位置参数
```python
def varargs(*args):
return args
varargs(1, 2, 3) # => (1, 2, 3)
```
args 的类型是 tuple
### 关键字参数
```python
def keyword_args(**kwargs):
return kwargs
# => {"big": "foot", "loch": "ness"}
keyword_args(big="foot", loch="ness")
```
kwargs 的类型是 dict
### 返回多个
```python
def swap(x, y):
return y, x
x = 1
y = 2
x, y = swap(x, y) # => x = 2, y = 1
```
### 默认值
```python
def add(x, y=10):
return x + y
add(5) # => 15
add(5, 20) # => 25
```
### 匿名函数
```python
# => True
(lambda x: x > 2)(3)
# => 5
(lambda x, y: x ** 2 + y ** 2)(2, 1)
```
Python 解包
--------
- 解包是将一个
[序列](https://docs.python.org/zh-cn/3/library/stdtypes.html#sequence-types-list-tuple-range)
内的多个元素依次重新分配到有限个容器的过程，这只发生在 **变量赋值**、**参数传递** 和 **生成式生成** 过程中。
- `_` 这个变量是命令行交互中最后一次计算得到的值，在程序设计中一般用来存放解包时不再需要的值。
但它的含义会因赋值而改变，比如标准库 [gettext](https://docs.python.org/zh-cn/3/library/gettext.html) 中常用作动态获取翻译文本。
### 等量解包
```python
ip, port = "127.0.0.1", 80
print(ip) # -> "127.0.0.1"
print(port) # -> 80
# 与以下代码等价
ip, port = ("127.0.0.1", 80)
# 与以下代码效果相同
ip, port = ["127.0.0.1", 80]
```
### 适量解包
```python
ip, _, port = "127.0.0.1:80".rpartition(":")
print(ip) # -> "127.0.0.1"
print(port) # -> "80"
# _ 这个变量此刻的值是 ":" ，但一般不再使用。
```
`_` 也是一个单一变量，不允许解包多个元素，因此变量与值必须一一对应。
### 过量解包
```python
major, minor, *parts = "3.10.2.beta".split(".")
print(major) # -> "3"
print(minor) # -> "10"
print(parts) # -> ["2", "beta"]
# 可将 parts 改为 _ 来表示不再需要后面的元素
```
这里的 `*` 就是收集[序列](https://docs.python.org/zh-cn/3/library/stdtypes.html#sequence-types-list-tuple-range)在解包过程中多出来的元素，
只能有一个，与向函数传递[位置参数](#位置参数)时的 `*` 别无二致。
### 解包取左边
```python
major, minor, *_ = "3.10.2.beta".split(".")
print(major) # -> "3"
print(minor) # -> "10"
```
### 解包取两边
```python
major, *_, level = "3.10.2.beta".split(".")
print(major) # -> "3"
print(level) # -> "beta"
```
### 解包取右边
```python
*_, micro, level = "3.10.2.beta".split(".")
print(micro) # -> "2"
print(level) # -> "beta"
```
### 解包集合
```python
a, b, *_ = {3, 2, 1}
print(a) # -> 1
print(b) # -> 2
print(_) # -> [3]
```
[集合](https://docs.python.org/zh-cn/3/library/stdtypes.html#set-types-set-frozenset)
中的元素是无序的，因此解包结果不能轻易确定。
### 解包迭代器
```python
a, b, *_ = range(3)
print(a) # -> 0
print(b) # -> 1
print(_) # -> [2]
```
支持
[迭代器](https://docs.python.org/zh-cn/3/library/stdtypes.html#iterator-types)
协议的对象也可被解包。
### 解包字典
```python
a, b, *_ = dict(a=1, b=2, c=3)
print(a) # -> "a"
print(_) # -> ["c"]
a, b, *_ = dict(a=1, b=2, c=3).values()
print(a) # -> 1
print(_) # -> [3]
```
### 生成式中的解包
```python
chars = (*"abc", *"def", "g", "h")
# -> ("a", "b", "c", "d", "e", "f", "g", "h")
digits = [*range(10), *"abcdef"]
# -> [0, 1, 2, 3, 4, 5, 6, 7, 8, 9,
# "a", "b", "c", "d", "e", "f"]
part = {"小明": 18, "小亮": 22}
summary = {"小花": 16, **part}
print(summary)
# -> {"小花": 16, "小明": 18, "小亮": 22}
```
- 仅在列表／元组生成式中可以使用多个 `*`
- 仅在字典生成式中可以使用多个 `**`
### 迭代中解包
```python
students = [
("小明", 18),
("小亮", 22),
]
for k, v in students:
print(k) # -> "小明"、"小亮"
print(v) # -> 18、22
students = [
(0, ("小明", 18)),
(1, ("小亮", 22)),
]
for i, (k, v) in students:
print(i) # -> 0、1
print(k) # -> "小明"、"小亮"
print(v) # -> 18、22
```
### 函数中的解包
```python
def version(major, minor, *parts):
print(major) # -> "3"
print(minor) # -> "10"
print(parts) # -> ("2", "beta", "0")
version("3", "10", "2", "beta", "0")
# 过程类似于
major, minor, *parts = ("3", "10", "2", "beta", "0")
def version():
parts = "3.10.2.beta.0".split(".")
return *parts, "x64"
print(version())
# -> ("3", "10", "2", "beta", "0", "x64")
```
Python 模块
--------
### 导入模块
```python
import math
print(math.sqrt(16)) # => 4.0
```
### 从一个模块导入
```python
from math import ceil, floor
print(ceil(3.7)) # => 4.0
print(floor(3.7)) # => 3.0
```
### 导入一个模块的全部
```python
from math import *
```
### 给模块起别名
```python
import math as m
# => True
math.sqrt(16) == m.sqrt(16)
```
### 浏览模块的函数和属性
```python
import math
dir(math)
```
Python 文件处理
----------
### 读取文件
#### 逐行
```python
with open("myfile.txt") as file:
for line in file:
print(line)
```
#### 带行号
```python
file = open('myfile.txt', 'r')
for i, line in enumerate(file, start=1):
print("Number %s: %s" % (i, line))
```
### 字符串
#### 写入一个字符串
```python
contents = {"aa": 12, "bb": 21}
with open("myfile1.txt", "w+") as file:
file.write(str(contents))
```
#### 读取一个字符串
```python
with open('myfile1.txt', "r+") as file:
contents = file.read()
print(contents)
```
### 对象
#### 写一个对象
```python
contents = {"aa": 12, "bb": 21}
with open("myfile2.txt", "w+") as file:
file.write(json.dumps(contents))
```
#### 读取对象
```python
with open('myfile2.txt', "r+") as file:
contents = json.load(file)
print(contents)
```
### 删除文件
```python
import os
os.remove("myfile.txt")
```
### 检查和删除
```python
import os
if os.path.exists("myfile.txt"):
os.remove("myfile.txt")
else:
print("The file does not exist")
```
### 删除文件夹
```python
import os
os.rmdir("myfolder")
```
Python 类和继承
--------
### 定义
```python
class MyNewClass:
pass
# 类的实例化
my = MyNewClass()
```
### 构造函数
```python
class Animal:
def __init__(self, voice):
self.voice = voice
cat = Animal('Meow')
print(cat.voice) # => Meow
dog = Animal('Woof')
print(dog.voice) # => Woof
```
### 方法
```python
class Dog:
# 类的方法
def bark(self):
print("Ham-Ham")
charlie = Dog()
charlie.bark() # => "Ham-Ham"
```
### 类变量
<!--rehype:wrap-class=row-span-2-->
```python
class MyClass:
class_variable = "A class variable!"
# => 一个类变量！
print(MyClass.class_variable)
x = MyClass()
# => 一个类变量！
print(x.class_variable)
```
### super() 函数
<!--rehype:wrap-class=row-span-2-->
```python
class ParentClass:
def print_test(self):
print("Parent Method")
class ChildClass(ParentClass):
def print_test(self):
print("Child Method")
# 调用父级的 print_test()
super().print_test()
```
---
```python
>>> child_instance = ChildClass()
>>> child_instance.print_test()
Child Method
Parent Method
```
### repr() 方法
```python
class Employee:
def __init__(self, name):
self.name = name
def __repr__(self):
return self.name
john = Employee('John')
print(john) # => John
```
### 用户定义的异常
```python
class CustomError(Exception):
pass
```
### 多态性
```python
class ParentClass:
def print_self(self):
print('A')
class ChildClass(ParentClass):
def print_self(self):
print('B')
obj_A = ParentClass()
obj_B = ChildClass()
obj_A.print_self() # => A
obj_B.print_self() # => B
```
### 重写
```python
class ParentClass:
def print_self(self):
print("Parent")
class ChildClass(ParentClass):
def print_self(self):
print("Child")
child_instance = ChildClass()
child_instance.print_self() # => Child
```
### 继承
```python
class Animal:
def __init__(self, name, legs):
self.name = name
self.legs = legs
class Dog(Animal):
def sound(self):
print("Woof!")
Yoki = Dog("Yoki", 4)
print(Yoki.name) # => YOKI
print(Yoki.legs) # => 4
Yoki.sound() # => Woof!
```
Python 数据模型
--------
更多请移步 <https://docs.python.org/zh-cn/3/reference/datamodel.html>
### 自定义类创建
参见 [自定义类创建](https://docs.python.org/zh-cn/3/reference/datamodel.html#customizing-class-creation) 。
```python
from typing import Any
class Object:
def __new__(cls, *args, **kwargs) -> "self":
# new 和 init 声明的参数必须一致
# 或者用 *args 和 **kwargs 进行兼容
return object.__new__(cls)
def __init__(self, *args, **kwargs):
# 初始化方法没有返回值，也不能返回值。
pass
def __call__(self, *args, **kwargs) -> Any:
pass
# 依次调用了 new 和 init，所以如果
# 手动调用 new，那么别忘了调用 init
obj = Object()
# 触发 __call__ 方法，要给什么参数取决于声明
obj()
```
### 上下文管理器
<!--rehype:wrap-class=col-span-2-->
参见 [上下文管理器](https://docs.python.org/zh-cn/3/reference/datamodel.html#with-statement-context-managers) 。
```python
from typing import Any
class Object:
def __enter__(self) -> Optional[Any]:
# with 语句会将返回值绑定到 as 子句中的变量，如果有的话。
return
def __exit__(self, exc_type, exc_value, traceback):
# 若 with 内没有发生异常，则三个参数都是 None 。
# 不应该重新引发传入的异常，这是调用者的责任。
pass
with Object() as alias:
# 进入 with 之前调用 obj.__enter__() 并得到 alias（如果有返回的话）
pass
# 离开 with 后调用 obj.__exit__() ，不管是正常结束还是因异常抛出而离开。
# 当需要获取 Object 的对象时可以这样写
obj = Object()
with obj as alias:
pass
```
### 特殊方法
<!--rehype:wrap-class=col-span-3-->
下表使用 `-> *` 代表返回值类型是任意的，或者需要视情况而定，实际上并不存在这种写法。
诸如 `-> str` 仅表示绝大多数情况下应当返回 `str` 类型，或者推荐返回 `str` 类型。
没有 `->` 的方法一般没有返回值。
参见 <https://docs.python.org/zh-cn/3/reference/datamodel.html>
| 语句 | 特殊方法 | 备注 | |
|---------------------|------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----|
| `repr(obj)` | `__repr__(self) -> str` | 详见 [`repr()`](https://docs.python.org/zh-cn/3/library/functions.html#repr) 。 | |
| `str(obj)` | `__str__(self) -> str` | 详见 [`str` 类型](https://docs.python.org/zh-cn/3/library/stdtypes.html#str) 。 | |
| `bytes(obj)` | `__bytes__(self) -> bytes` | 详见 [`bytes()`](https://docs.python.org/zh-cn/3/library/functions.html#func-bytes) 。 | |
| `format(obj, spec)` | `__format__(self, spec) -> str` | 详见 [`format()`](https://docs.python.org/zh-cn/3/library/functions.html#format)、[格式化字符串字面值](https://docs.python.org/zh-cn/3/reference/lexical_analysis.html#f-strings)、[格式规格迷你语言](https://docs.python.org/zh-cn/3/library/string.html#formatspec) 。 | |
| `hash(obj)` | `__hash__(self) -> int` | 详见 [`hash()`](https://docs.python.org/zh-cn/3/library/functions.html#hash) 。 | |
| `bool(obj)` | `__bool__(self) -> bool` | 未定义时调用 `obj.__len__() != 0` ，若 `__len__()` 也未定义，则所有对象都被视为 `True` 。另见 [`bool()`](https://docs.python.org/zh-cn/3/library/functions.html#bool) 。 | |
| `dir(obj)` | `__dir__(self) -> list` | 返回值必须是一个序列，[`dir()`](https://docs.python.org/zh-cn/3/library/functions.html#dir) 会把返回的序列转换为列表并对其排序。 | |
| `Object[key]` | `__class_getitem__(cls, key) -> *` | 不建议用于除了 [模拟泛型类型](https://docs.python.org/zh-cn/3/reference/datamodel.html#emulating-generic-types) 以外的用途，避免 IDE 误判。 | |
- 自定义实例及子类检查，参见 <https://docs.python.org/zh-cn/3/reference/datamodel.html#customizing-instance-and-subclass-checks>
| 语句 | 特殊方法 | 备注 | |
|-------------------------------|---------------------------------------------------|:------------------------------------------|-----|
| `isinstance(instance, class)` | `class.__instancecheck__(self, instance) -> bool` | 如果 instance 应被视为 class 的一个（直接或间接）实例则返回真值。 | |
| `issubclass(subclass, class)` | `class.__subclasscheck__(self, subclass) -> bool` | 如果 subclass 应被视为 class 的一个（直接或间接）子类则返回真值。 | |
- “富比较”方法，参见 <https://docs.python.org/zh-cn/3/reference/datamodel.html#object.__lt__>
| 语句 | 特殊方法 | 备注 | |
|-----------------|--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------|-----|
| `obj < other` | `__lt__(self, other) -> bool` | | |
| `obj <= other` | `__le__(self, other) -> bool` | | |
| `obj == other` | `__eq__(self, other) -> bool` | 默认返回 `obj is other` ，如果结果为 `False` ，则会返回 [`NotImplemented`](https://docs.python.org/zh-cn/3/reference/datamodel.html#the-standard-type-hierarchy) 。 | |
| `obj != other` | `__ne__(self, other) -> bool` | 默认返回 `not obj.__eq__(other)` 。 | |
| `obj > other` | `__gt__(self, other) -> bool` | | |
| `obj >= other` | `__ge__(self, other) -> bool` | | |
- 自定义属性访问，参见 <https://docs.python.org/zh-cn/3/reference/datamodel.html#customizing-attribute-access>
| 语句 | 特殊方法 | 备注 | |
|---------------------|-------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------|-----|
| `obj.name` | `__getattr__(self, name) -> *` | 优先调用。当抛出 [`AttributeError`](https://docs.python.org/zh-cn/3/library/exceptions.html#AttributeError) 时转向调用 `__getattribute__()` 。 | |
| `obj.name` | `__getattribute__(self, name) -> *` | 参见 [自定义属性访问](https://docs.python.org/zh-cn/3/reference/datamodel.html#customizing-attribute-access) 避免无限递归。 | |
| `obj.name = value` | `__setattr__(self, name, value)` | | |
| `del obj.name` | `__delattr__(self, name)` | 仅在 `del obj.name` 对于该对象有意义时才应该被实现。 | |
- 模拟容器类型，参见 <https://docs.python.org/zh-cn/3/reference/datamodel.html#emulating-container-types>
| 语句 | 特殊方法 | 备注 | |
|-----------------------|------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----|
| `len(obj)` | `__len__(self) -> int` | | |
| `op.length_hint(obj)` | `__length_hint__(self) -> int` | 在使用标准库 [operator](https://docs.python.org/zh-cn/3/library/operator.html) 的 [`length_hint()`](https://docs.python.org/zh-cn/3/library/operator.html#operator.length_hint) 时会被调用（Python 3.4+）。 | |
| `obj[key]` | `__getitem__(self, key) -> *` | 需要抛出 [IndexError](https://docs.python.org/zh-cn/3/library/exceptions.html#IndexError) 以便正确地结束 [for](https://docs.python.org/zh-cn/3/reference/compound_stmts.html#for) 循环。 | |
| `obj[key]` | `__missing__(self, key) -> *` | 仅在 dict 的子类找不到键时被调用（不能重写 `__getitem__` 方法）。 | |
| `obj[key] = value` | `__setitem__(self, key, value)` | `a[1:2] = b` 实际上是 `a[slice(1, 2, None)] = b` ，其它情形及在其余方法中同理。详见 [`slice()`](https://docs.python.org/zh-cn/3/library/functions.html#slice) 。 | |
| `del obj[key]` | `__delitem__(self, key)` | | |
| _调用途径有很多_ | `__iter__(self) -> Iterator` | 在需要创建一个 [迭代器](https://docs.python.org/zh-cn/3/glossary.html#term-iterator) 时被调用，例如使用 [`iter()`](https://docs.python.org/zh-cn/3/library/functions.html#iter) 、 [`for` 循环](https://docs.python.org/zh-cn/3/reference/compound_stmts.html#for) 。<br>最好返回一个新对象，因为迭代器在语义上是一次性的。若返回 `self` ，则必须实现 `__next__()` 方法。 | |
| `reversed(obj)` | `__reversed__(self) -> *` | 详见 [`reversed()`](https://docs.python.org/zh-cn/3/library/functions.html#reversed) 。 | |
| `item in obj` | `__contains__(self, item) -> bool` | 对于未定义该方法的对象在 `in` 和 `not in` 时，参考 [成员检测运算](https://docs.python.org/zh-cn/3/reference/expressions.html#membership-test-details) 。 | |
- 模拟数字类型，参见 <https://docs.python.org/zh-cn/3/reference/datamodel.html#emulating-numeric-types>
| 语句 | 特殊方法 | 备注 | |
|----------------------|------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----|
| `+obj` | `__neg__(self) -> *` | | |
| `-obj` | `__pos__(self) -> *` | | |
| `~obj` | `__invert__(self) -> *` | | |
| `abs(obj)` | `__abs__(self) -> *` | | |
| `int(obj)` | `__int__(self) -> *` | | |
| `float(obj)` | `__float__(self) -> *` | | |
| `complex(obj)` | `__complex__(self) -> *` | | |
| `round(obj)` | `__round__(self) -> int` | 详见 [`round()`](https://docs.python.org/zh-cn/3/library/functions.html#round) 。 | |
| `round(obj)` | `__round__(self, ndigits) -> *` | 详见 [`round()`](https://docs.python.org/zh-cn/3/library/functions.html#round) 。 | |
| `math.ceil(obj)` | `__ceil__(self) -> int` | 详见标准库 [math](https://docs.python.org/zh-cn/3/library/math.html#module-math) 的 [`ceil()`](https://docs.python.org/zh-cn/3/library/math.html#math.ceil) 。 | |
| `math.floor(obj)` | `__floor__(self) -> int` | 详见标准库 [math](https://docs.python.org/zh-cn/3/library/math.html#module-math) 的 [`floor()`](https://docs.python.org/zh-cn/3/library/math.html#math.floor) 。 | |
| `math.trunc(obj)` | `__trunc__(self) -> int` | 详见标准库 [math](https://docs.python.org/zh-cn/3/library/math.html#module-math) 的 [`trunc()`](https://docs.python.org/zh-cn/3/library/math.html#math.trunc) 。 | |
| | `__index__(self) -> int` | 需要无损地将数值转换为整数的时候会被调用。详见 [这里](https://docs.python.org/zh-cn/3/reference/datamodel.html#object.__index__) 。 | |
| `obj + other` | `__add__(self, other) -> *` | | |
| `obj - other` | `__sub__(self, other) -> *` | | |
| `obj * other` | `__mul__(self, other) -> *` | | |
| `obj @ other` | `__matmul__(self, other) -> *` | 为第三方库而生的矩阵乘法运算符，[这里](https://docs.python.org/zh-cn/3/reference/expressions.html#binary-arithmetic-operations)提了一嘴。（Python 3.5+） | |
| `obj / other` | `__truediv__(self, other) -> *` | | |
| `obj // other` | `__floordiv__(self, other) -> *` | | |
| `obj % other` | `__mod__(self, other) -> *` | | |
| `divmod(obj, other)` | `__divmod__(self, other) -> tuple` | `divmod(a, b)` 返回一个元组 `(a // b, a % b)` ，详见 [`divmod()`](https://docs.python.org/zh-cn/3/library/functions.html#divmod) 。 | |
| `obj ** exp` | `__pow__(self, exp) -> *` | | |
| `pow(obj, exp, mod)` | `__pow__(self, exp, mod) -> *` | `pow(base, exp, mod)` 比 `pow(base, exp) % mod` 更高效。 | |
| `obj << other` | `__lshift__(self, other) -> *` | | |
| `obj >> other` | `__rshift__(self, other) -> *` | | |
| `obj & other` | `__and__(self, other) -> *` | | |
| `obj ^ other` | `__xor__(self, other) -> *` | | |
| `obj \| other` | `__or__(self, other) -> *` | | |
| `other + obj` | `__radd__(self, obj) -> *` | 仅当 obj 未定义 `__add__()` 或其返回 `NotImplemented` ，<br>且与 other 互相都没有继承关系时，调用 other 的 `__radd__()` 。详见 [这里](https://docs.python.org/zh-cn/3/reference/datamodel.html#object.__radd__) 。 | |
| `other - obj` | `__rsub__(self, obj) -> *` | 以下，如此类推。 | |
| `other * obj` | `__rmul__(self, obj) -> *` | | |
| `other @ obj` | `__rmatmul__(self, obj) -> *` | | |
| `other / obj` | `__rtruediv__(self, obj) -> *` | | |
| `other // obj` | `__rfloordiv__(self, obj) -> *` | | |
| `other % obj` | `__rmod__(self, obj) -> *` | | |
| `divmod(other, obj)` | `__rdivmod__(self, obj) -> tuple` | | |
| `other ** obj` | `__rpow__(self, obj) -> *` | | |
| | `__rpow__(self, obj, mod) -> *` | `pow(obj, other, mod)` 不会尝试调用 `other.__rpow__(obj, mod)` ，因为强制转换规则会太过复杂。 | |
| `other << obj` | `__rlshift__(self, obj) -> *` | | |
| `other >> obj` | `__rrshift__(self, obj) -> *` | | |
| `other & obj` | `__rand__(self, obj) -> *` | | |
| `other ^ obj` | `__rxor__(self, obj) -> *` | | |
| `other \| obj` | `__ror__(self, obj) -> *` | | |
| `obj += other` | `__iadd__(self, other) -> *` | 若方法已定义，则 `a += b` 等价于 `a.__iadd(b)` ；<br>若未定义，则回退到 `a + b` 选择 `x.__add__(y)` 和 `y.__radd__(x)` 。 | |
| `obj -= other` | `__isub__(self, other) -> *` | 以下，如此类推。 | |
| `obj *= other` | `__imul__(self, other) -> *` | | |
| `obj @= other` | `__imatmul__(self, other) -> *` | | |
| `obj /= other` | `__itruediv__(self, other) -> *` | | |
| `obj //= other` | `__ifloordiv__(self, other) -> *` | | |
| `obj %= other` | `__imod__(self, other) -> *` | | |
| `obj **= exp` | `__ipow__(self, other) -> *` | | |
| `obj <<= other` | `__ilshift__(self, other) -> *` | | |
| `obj >>= other` | `__irshift__(self, other) -> *` | | |
| `obj &= other` | `__iand__(self, other) -> *` | | |
| `obj ^= other` | `__ixor__(self, other) -> *` | | |
| `obj \|= other` | `__ior__(self, other) -> *` | | |
Python 类型标注 (Python 3.5+)
--------
### 变量
```python
string: str = "ha"
times: int = 3
print(string * times) # => hahaha
```
### 变量
```python
result: str = 1 + 2
print(result) # => 3
```
错误的类型标注不会影响正常运行，也不会报错
### 参数
```python
def say(name: str, start: str = "Hi"):
return start + ", " + name
print(say("Python")) # => Hi, Python
```
### 位置参数
```python
def calc_summary(*args: int):
return sum(args)
print(calc_summary(3, 1, 4)) # => 8
```
表示 args 的所有元素都是 int 类型的。
### 返回值
```python
def say_hello(name) -> str:
return "Hello, " + name
var = "Python"
print(say_hello(var)) # => Hello, Python
```
### 多种可能的返回值
```python
from typing import Union
def resp200(meaningful) -> Union[int, str]:
return "OK" if meaningful else 200
```
表示返回值可能是 int，也可能是 str 。
### 关键字参数
```python
def calc_summary(**kwargs: int):
return sum(kwargs.values())
print(calc_summary(a=1, b=2)) # => 3
```
表示 kwargs 的所有值都是 int 类型的。
### 多个返回值
```python
def resp200() -> (int, str):
return 200, "OK"
```
### 多种可能的返回值 (3.10+)
```python
def resp200(meaningful) -> int | str:
return "OK" if meaningful else 200
```
自 Python 3.10 起可用。
### 属性
```python
class Employee:
name: str
age: int
def __init__(self, name, age):
self.name = name
self.age = age
self.graduated: bool = False
```
### 标注自己
```python
class Employee:
name: str
age: int
def set_name(self, name) -> "Employee":
self.name = name
return self
```
这里表示 set_name() 返回了一个 Employee 对象。
### 标注自己 (3.11+)
```python
from typing import Self
class Employee:
name: str
age: int
def set_name(self: Self, name) -> Self:
self.name = name
return self
```
### 标注一个值为类型的参数
<!--rehype:wrap-class=col-span-2-->
```python
from typing import TypeVar, Type
T = TypeVar("T")
# "mapper" 的值是一个像 int、str、MyClass 这样的类型
# "default" 是一个 T 类型的值，比如 314、"string"、MyClass()
# 函数的返回值也是一个 T 类型的值
def converter(raw, mapper: Type[T], default: T) -> T:
try:
return mapper(raw)
except:
return default
raw: str = input("请输入一个整数：")
result: int = converter(raw, mapper=int, default=0)
```
### 标注一个值为函数的参数
<!--rehype:wrap-class=col-span-2-->
```python
from typing import TypeVar, Callable, Any
T = TypeVar("T")
def converter(raw, mapper: Callable[[Any], T], default: T) -> T:
try:
return mapper(raw)
except:
return default
# Callable[[Any], T] 表示值是一个像这样声明的函数:
# def anynomous(arg: Any) -> T:
# pass
def is_success(value) -> bool:
return value in (0, "OK", True, "success")
resp = dict(code=0, message="OK", data=[])
successed: bool = converter(resp.message, mapper=is_success, default=False)
```
各种各样的
----------
### 注释
```python
# 这是单行注释
```
---
```python
""" 可以写多行字符串
使用三个"，并且经常使用
作为文档。
"""
```
---
```python
''' 可以写多行字符串
使用三个'，并且经常使用
作为文档。
'''
```
### 生成器
```python
def double_numbers(iterable):
for i in iterable:
yield i + i
```
生成器可帮助您编写惰性代码
### 要列出的生成器
```python
values = (-x for x in [1,2,3,4,5])
gen_to_list = list(values)
# => [-1, -2, -3, -4, -5]
print(gen_to_list)
```
### 处理异常
<!--rehype:wrap-class=col-span-3-->
```python
try:
# 使用“raise”来引发错误
raise IndexError("这是一个索引错误")
except IndexError as e:
pass # pass只是一个空操作。 通常你会在这里做恢复。
except (TypeError, NameError):
pass # 如果需要，可以一起处理多个异常。
else: # try/except 块的可选子句。 必须遵循除块之外的所有内容
print("All good!") # 仅当 try 中的代码未引发异常时运行
finally: # 在所有情况下执行
print("我们可以在这里清理资源")
```
### pyenv & pipenv
<!--rehype:wrap-class=col-span-3-->
pvenv 用于管理python版本，pipenv 用于管理项目包版本
#### pyenv
```shell
# 安装 pyenv
curl https://pyenv.run | bash
```
[更多安装方式](https://github.com/pyenv/pyenv#installation)
```shell
# 安装 python 版本
pyenv install 3.10.12
# 设置 python 版本
pyenv global 3.10.12 # 全局设置
pyenv shell 3.10.12 # 针对当前 shell session
pyenv local 3.10.12 # 针对当前目录
```
#### pipenv
```shell
# 安装 pipenv
pip install pipenv --user # pip
brew install pipenv # homebrew
# 更新 pipenv
pip install --user --upgrade pipenv # pip
brew upgrade pipenv # homebrew
```
```shell
# 将 pipenv 命令加入到系统环境变量 $PATH 中 (Unix and MacOS)
dir=$(python -c 'import site; print(site.USER_BASE + "/bin")') # 打印 python site-packages bin 路径
echo 'export PATH="'$dir':$PATH"' >> ~/.zshrc # 将 dir 路径加入到 PATH 中
source ~/.zshrc
# 安装 package
pipenv install <package name> # 不指定版本
pipenv install <package name>==<version> # 精确指定版本
pipenv install <package name>~=<version> # 指定版本范围，例如 1.1则表示安装1.x的最新版本，1.0.1则表示安装1.0.x的最新版本
pipenv install "<package name>=<version>" # 大于等于指定版本
pipenv install "<package name>=<version>" # 小于等于指定版本
```
```shell
# 指定 python 版本
pipenv --python 3.10.12
# 激活当前目录虚拟环境
pipenv shell
```
另见
----
- [Python 官方网站](https://www.python.org/) _(python.org)_
- [Python 文档](https://docs.python.org/zh-cn/3/index.html) _(docs.python.org)_
- [Y 分钟学会 Python](https://learnxinyminutes.com/docs/zh-cn/python-cn/) _(learnxinyminutes.com)_
- [Python 中的正则表达式](./regex.md#python-中的正则表达式) _(jaywcjlove.github.io)_
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