PYTHON 3 快速参考
基础到 pandas、requests、csv、json
基础
变量
name = "Alice" # str
age = 20 # int
gpa = 3.85 # float
active = True # bool
数据类型
| str | 文本:"hello" |
| int | 整数:42 |
| float | 小数:3.14 |
| bool | True / False |
| list | 有序可变:[1, 2, 3] |
| tuple | 有序不可变:(1, 2) |
| dict | 键值对:{"a": 1} |
| set | 唯一元素集合:{1, 2, 3} |
算术运算
| + - * | 加、减、乘 |
| / | 除法(浮点):7/2 → 3.5 |
| // | 整除:7//2 → 3 |
| % | 取模:7%2 → 1 |
| ** | 幂运算:2**3 → 8 |
类型转换
int("42") # 42
float("3.14") # 3.14
str(100) # "100"
list("abc") # ['a','b','c']
用户输入
name = input("Your name? ")
age = int(input("Age? "))
字符串
创建字符串
s1 = 'single quotes'
s2 = "double quotes"
s3 = """triple quotes
for multiline"""
f-String(Python 3.6+)
name = "Alice"
f"Hello, {name}!" # Hello, Alice!
f"{2 + 3}" # 5
f"{3.14159:.2f}" # 3.14
f"{1000:,}" # 1,000
字符串切片
s = "Python"
# Index: 0 1 2 3 4 5
s[0] # 'P'
s[-1] # 'n'
s[2:5] # 'tho'
s[:2] # 'Py'
s[2:] # 'thon'
s[::-1] # 'nohtyP' (reverse)
字符串方法
| len(s) | 字符串长度 |
| s.upper() | 转大写 |
| s.lower() | 转小写 |
| s.strip() | 去除首尾空白 |
| s.split(",") | 分割为列表 |
| ",".join(lst) | 列表合并为字符串 |
| s.replace(a, b) | 将 a 替换为 b |
| s.find("x") | 首个匹配的索引(未找到返回 -1) |
| s.startswith(x) | 检查前缀 → bool |
| s.endswith(x) | 检查后缀 → bool |
| s.count(x) | 统计出现次数 |
| "x" in s | 包含检查 → bool |
列表
创建与访问
fruits = ["apple", "banana", "cherry"]
fruits[0] # "apple"
fruits[-1] # "cherry"
fruits[1:3] # ["banana", "cherry"]
列表推导式
squares = [x**2 for x in range(5)]
# [0, 1, 4, 9, 16]
evens = [x for x in range(10) if x%2==0]
# [0, 2, 4, 6, 8]
列表方法
| lst.append(x) | 追加到末尾 |
| lst.extend(lst2) | 追加 lst2 的所有元素 |
| lst.insert(i, x) | 在索引 i 处插入 |
| lst.pop() | 移除并返回最后一个元素 |
| lst.pop(i) | 移除并返回索引 i 处的元素 |
| lst.remove(x) | 移除第一个 x |
| del lst[i] | 按索引删除 |
| lst.sort() | 原地排序 |
| sorted(lst) | 返回排序副本 |
| lst.reverse() | 原地反转 |
| len(lst) | 元素数量 |
| x in lst | 成员检查 |
| lst.index(x) | x 的第一个索引 |
| lst.count(x) | x 的出现次数 |
元组与集合
元组(不可变)
point = (3, 4)
x, y = point # unpacking
point[0] # 3 (read-only)
集合(唯一元素)
s = {1, 2, 3}
s.add(4); s.remove(1)
a & b # intersection
a | b # union
a - b # difference
字典
创建与访问
student = {"name": "Alice", "age": 20}
student["name"] # "Alice"
student.get("gpa", 0) # 0 (default)
student["gpa"] = 3.85 # add/update
字典推导式
sq = {x: x**2 for x in range(5)}
# {0:0, 1:1, 2:4, 3:9, 4:16}
遍历
for k, v in student.items():
print(f"{k}: {v}")
字典方法
| d.keys() | 所有键 |
| d.values() | 所有值 |
| d.items() | 所有(键, 值)对 |
| d.get(k, default) | 获取值,带默认值 |
| d.update(d2) | 将 d2 合并到 d |
| d.pop(k) | 移除并返回值 |
| del d[k] | 删除键 |
| "k" in d | 键是否存在 → bool |
| len(d) | 条目数量 |
控制流
if / elif / else
if score >= 90:
grade = "A"
elif score >= 80:
grade = "B"
else:
grade = "C"
三元表达式
status = "pass" if score >= 60 else "fail"
循环
for 循环
for fruit in ["apple", "banana"]:
print(fruit)
range()
range(5) # 0, 1, 2, 3, 4
range(2, 5) # 2, 3, 4
range(0, 10, 2) # 0, 2, 4, 6, 8
while 循环
while count < 10:
count += 1
enumerate() 与 zip()
for i, val in enumerate(["a", "b"]):
print(i, val) # 0 a, 1 b
for a, b in zip([1, 2], ["x", "y"]):
print(a, b) # 1 x, 2 y
break 与 continue
for x in range(10):
if x == 5: break # stop loop
if x % 2 == 0: continue # skip
函数
定义与调用
def greet(name, greeting="Hi"):
return f"{greeting}, {name}!"
greet("Alice") # "Hi, Alice!"
greet("Bob", "Hello") # "Hello, Bob!"
多返回值
def min_max(lst):
return min(lst), max(lst)
lo, hi = min_max([3, 1, 4, 1, 5])
*args 与 **kwargs
def total(*args): # args is a tuple
return sum(args)
total(1, 2, 3) # 6
def info(**kwargs): # kwargs is a dict
print(kwargs)
Lambda 函数
square = lambda x: x**2
square(5) # 25
sorted(lst, key=lambda x: x["age"])
类
class Dog:
def __init__(self, name, breed):
self.name = name
self.breed = breed
def bark(self):
return f"{self.name} says Woof!"
dog = Dog("Rex", "Lab")
dog.bark() # "Rex says Woof!"
继承
class Puppy(Dog):
def __init__(self, name, breed, toy):
super().__init__(name, breed)
self.toy = toy
异常处理
try:
result = 10 / 0
except ZeroDivisionError as e:
print(f"Error: {e}")
finally:
print("Always runs")
文件读写
读取文件
with open("data.txt") as f:
content = f.read() # full text
with open("data.txt") as f:
for line in f: # line by line
print(line.strip())
写入文件
with open("out.txt", "w") as f:
f.write("Hello\n")
"r" = 读 "w" = 写(覆盖) "a" = 追加
CSV
import csv
with open("data.csv") as f:
reader = csv.DictReader(f)
for row in reader:
print(row["name"])
with open("out.csv", "w", newline="") as f:
writer = csv.writer(f)
writer.writerow(["name", "age"])
JSON
import json
data = json.loads('{"name":"Alice"}') # parse
text = json.dumps(data) # serialize
with open("data.json") as f:
data = json.load(f) # read file
with open("out.json", "w") as f:
json.dump(data, f, indent=2) # write file
HTTP 请求
import requests
# GET
r = requests.get("https://api.example.com/data")
r.status_code # 200
data = r.json() # parse JSON
# POST
r = requests.post(url, json={"key": "val"})
pandas 基础
import pandas as pd
df = pd.read_csv("data.csv")
df.head() # first 5 rows
df.shape # (rows, cols)
df["name"] # single column
df[df["age"] > 20] # filter rows
常用内置函数
| print() | 输出到控制台 |
| len() | 长度 / 数量 |
| type() | 对象类型 |
| range() | 数字序列 |
| enumerate() | 索引 + 值对 |
| zip() | 配对多个可迭代对象 |
| sorted() | 返回排序副本 |
| sum() min() max() | 聚合函数 |
模块
import math
from math import sqrt, pi
import pandas as pd # alias