{"id":1185243,"date":"2025-01-15T19:37:43","date_gmt":"2025-01-15T11:37:43","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1185243.html"},"modified":"2025-01-15T19:37:46","modified_gmt":"2025-01-15T11:37:46","slug":"python%e5%a6%82%e4%bd%95%e8%8e%b7%e5%8f%96value%e7%9a%84%e6%95%b0%e5%ad%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1185243.html","title":{"rendered":"python\u5982\u4f55\u83b7\u53d6value\u7684\u6570\u5b57"},"content":{"rendered":"

\"python\u5982\u4f55\u83b7\u53d6value\u7684\u6570\u5b57\"<\/p>\n

Python\u83b7\u53d6value\u7684\u6570\u5b57\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528\u5b57\u5178\u3001\u5217\u8868\u3001\u7c7b\u7b49\u4e0d\u540c\u7684\u6570\u636e\u7ed3\u6784\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u901a\u8fc7\u5b57\u5178\u4e2d\u7684\u952e\u503c\u5bf9\u3001\u904d\u5386\u5217\u8868\u3001\u7c7b\u5c5e\u6027\u7b49\u3002\u4ee5\u5b57\u5178\u4e3a\u4f8b\uff0c\u53ef\u4ee5\u901a\u8fc7\u952e\u83b7\u53d6\u5bf9\u5e94\u7684\u503c\u3002<\/strong> \u4f8b\u5982\uff1a<\/p>\n<\/p>\n

my_dict = {'a': 1, 'b': 2, 'c': 3}<\/p>\n
value = my_dict['a']  # \u83b7\u53d6\u952e'a'\u5bf9\u5e94\u7684\u503c\uff0c\u53731<\/p>\n
print(value)  # \u8f93\u51fa\uff1a1<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u9664\u4e86\u5b57\u5178\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u7684\u7d22\u5f15\u6216\u7c7b\u7684\u5c5e\u6027\u6765\u83b7\u53d6\u6570\u5b57\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528\u5b57\u5178\u83b7\u53d6value\u7684\u6570\u5b57<\/h2>\n<\/p>\n
\u5b57\u5178\u662f\u4e00\u79cd\u952e\u503c\u5bf9\u7684\u6570\u636e\u7ed3\u6784\uff0c\u901a\u8fc7\u952e\u53ef\u4ee5\u5feb\u901f\u67e5\u627e\u5230\u5bf9\u5e94\u7684\u503c\u3002<\/p>\n<\/p>\n
1.1 \u76f4\u63a5\u901a\u8fc7\u952e\u83b7\u53d6\u503c<\/h3>\n<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 3}<\/p>\n
value = my_dict['a']  # \u83b7\u53d6\u952e'a'\u5bf9\u5e94\u7684\u503c\uff0c\u53731<\/p>\n
print(value)  # \u8f93\u51fa\uff1a1<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u662f\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u952e\u83b7\u53d6\u503c\u3002\u5982\u679c\u952e\u4e0d\u5b58\u5728\uff0c\u4f1a\u5f15\u53d1KeyError\u5f02\u5e38\u3002<\/p>\n<\/p>\n
1.2 \u4f7f\u7528get()\u65b9\u6cd5<\/h3>\n<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 3}<\/p>\n
value = my_dict.get('a')  # \u83b7\u53d6\u952e'a'\u5bf9\u5e94\u7684\u503c\uff0c\u53731<\/p>\n
print(value)  # \u8f93\u51fa\uff1a1<\/p>\n
\u4f7f\u7528get()\u65b9\u6cd5\u53ef\u4ee5\u63d0\u4f9b\u4e00\u4e2a\u9ed8\u8ba4\u503c\uff0c\u907f\u514dKeyError<\/strong><\/h2>\n
value = my_dict.get('d', 0)  # \u5982\u679c\u952e'd'\u4e0d\u5b58\u5728\uff0c\u8fd4\u56de\u9ed8\u8ba4\u503c0<\/p>\n
print(value)  # \u8f93\u51fa\uff1a0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528get()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u907f\u514d\u952e\u4e0d\u5b58\u5728\u65f6\u5f15\u53d1\u7684\u5f02\u5e38\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u4f9b\u9ed8\u8ba4\u503c\u3002<\/p>\n<\/p>\n
1.3 \u904d\u5386\u5b57\u5178\u83b7\u53d6\u6240\u6709\u503c<\/h3>\n<\/p>\n
my_dict = {'a': 1, 'b': 2, 'c': 3}<\/p>\n
values = [value for key, value in my_dict.items()]<\/p>\n
print(values)  # \u8f93\u51fa\uff1a[1, 2, 3]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u904d\u5386\u5b57\u5178\u7684\u952e\u503c\u5bf9\uff0c\u53ef\u4ee5\u83b7\u53d6\u6240\u6709\u7684\u503c\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u83b7\u53d6\u6570\u5b57<\/h2>\n<\/p>\n
\u5217\u8868\u662f\u4e00\u79cd\u6709\u5e8f\u7684\u96c6\u5408\uff0c\u901a\u8fc7\u7d22\u5f15\u53ef\u4ee5\u83b7\u53d6\u5143\u7d20\u3002<\/p>\n<\/p>\n
2.1 \u901a\u8fc7\u7d22\u5f15\u83b7\u53d6\u503c<\/h3>\n<\/p>\n
my_list = [10, 20, 30, 40]<\/p>\n
value = my_list[2]  # \u83b7\u53d6\u7d22\u5f152\u5904\u7684\u503c\uff0c\u537330<\/p>\n
print(value)  # \u8f93\u51fa\uff1a30<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u7d22\u5f15\u53ef\u4ee5\u76f4\u63a5\u83b7\u53d6\u5217\u8868\u4e2d\u7684\u5143\u7d20\u3002<\/p>\n<\/p>\n
2.2 \u904d\u5386\u5217\u8868\u83b7\u53d6\u6240\u6709\u503c<\/h3>\n<\/p>\n
my_list = [10, 20, 30, 40]<\/p>\n
for value in my_list:<\/p>\n
    print(value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u904d\u5386\u5217\u8868\uff0c\u53ef\u4ee5\u83b7\u53d6\u6240\u6709\u7684\u503c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u7c7b\u83b7\u53d6\u5c5e\u6027\u503c<\/h2>\n<\/p>\n
\u7c7b\u662f\u4e00\u79cd\u81ea\u5b9a\u4e49\u7684\u6570\u636e\u7ed3\u6784\uff0c\u901a\u8fc7\u7c7b\u7684\u5b9e\u4f8b\u53ef\u4ee5\u8bbf\u95ee\u5c5e\u6027\u3002<\/p>\n<\/p>\n
3.1 \u901a\u8fc7\u5b9e\u4f8b\u5c5e\u6027\u83b7\u53d6\u503c<\/h3>\n<\/p>\n
class MyClass:<\/p>\n
    def __init__(self, value):<\/p>\n
        self.value = value<\/p>\n
obj = MyClass(100)<\/p>\n
print(obj.value)  # \u8f93\u51fa\uff1a100<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u5b9e\u4f8b\u5bf9\u8c61\u53ef\u4ee5\u8bbf\u95ee\u7c7b\u7684\u5c5e\u6027\u3002<\/p>\n<\/p>\n
3.2 \u4f7f\u7528getattr()\u65b9\u6cd5<\/h3>\n<\/p>\n
class MyClass:<\/p>\n
    def __init__(self, value):<\/p>\n
        self.value = value<\/p>\n
obj = MyClass(100)<\/p>\n
value = getattr(obj, 'value')  # \u83b7\u53d6\u5c5e\u6027'value'\u7684\u503c<\/p>\n
print(value)  # \u8f93\u51fa\uff1a100<\/p>\n
\u4f7f\u7528getattr()\u65b9\u6cd5\u53ef\u4ee5\u63d0\u4f9b\u4e00\u4e2a\u9ed8\u8ba4\u503c\uff0c\u907f\u514dAttributeError<\/strong><\/h2>\n
value = getattr(obj, 'nonexistent', 0)  # \u5982\u679c\u5c5e\u6027'nonexistent'\u4e0d\u5b58\u5728\uff0c\u8fd4\u56de\u9ed8\u8ba4\u503c0<\/p>\n
print(value)  # \u8f93\u51fa\uff1a0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528getattr()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u907f\u514d\u5c5e\u6027\u4e0d\u5b58\u5728\u65f6\u5f15\u53d1\u7684\u5f02\u5e38\uff0c\u5e76\u4e14\u53ef\u4ee5\u63d0\u4f9b\u9ed8\u8ba4\u503c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4ece\u5b57\u7b26\u4e32\u4e2d\u63d0\u53d6\u6570\u5b57<\/h2>\n<\/p>\n
\u6709\u65f6\u5019\u6570\u5b57\u53ef\u80fd\u5d4c\u5165\u5728\u5b57\u7b26\u4e32\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u63d0\u53d6\u51fa\u6765\u3002<\/p>\n<\/p>\n
4.1 \u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f<\/h3>\n<\/p>\n
import re<\/p>\n
my_string = "The price is 123 dollars"<\/p>\n
numbers = re.findall(r'\\d+', my_string)<\/p>\n
print(numbers)  # \u8f93\u51fa\uff1a['123']<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6b63\u5219\u8868\u8fbe\u5f0f\u662f\u63d0\u53d6\u5b57\u7b26\u4e32\u4e2d\u6570\u5b57\u7684\u6709\u6548\u5de5\u5177\u3002<\/p>\n<\/p>\n
4.2 \u4f7f\u7528\u5b57\u7b26\u4e32\u65b9\u6cd5<\/h3>\n<\/p>\n
my_string = "The price is 123 dollars"<\/p>\n
numbers = ''.join(filter(str.isdigit, my_string))<\/p>\n
print(numbers)  # \u8f93\u51fa\uff1a123<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fc7\u6ee4\u5b57\u7b26\u4e32\u4e2d\u7684\u6570\u5b57\u5b57\u7b26\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u6570\u5b57\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u7efc\u5408\u5e94\u7528<\/h2>\n<\/p>\n
5.1 \u5904\u7406\u590d\u6742\u6570\u636e\u7ed3\u6784<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u4f1a\u9047\u5230\u66f4\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0c\u4f8b\u5982\u5d4c\u5957\u5b57\u5178\u548c\u5217\u8868\u3002<\/p>\n<\/p>\n
data = {<\/p>\n
    'user1': {'name': 'Alice', 'age': 25},<\/p>\n
    'user2': {'name': 'Bob', 'age': 30},<\/p>\n
    'user3': {'name': 'Charlie', 'age': 35}<\/p>\n
}<\/p>\n
\u83b7\u53d6\u6240\u6709\u7528\u6237\u7684\u5e74\u9f84<\/strong><\/h2>\n
ages = [user['age'] for user in data.values()]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u904d\u5386\u5d4c\u5957\u7684\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u5b57\u3002<\/p>\n<\/p>\n
5.2 \u4e0e\u6570\u636e\u5e93\u4ea4\u4e92<\/h3>\n<\/p>\n
\u5728\u4e0e\u6570\u636e\u5e93\u4ea4\u4e92\u65f6\uff0c\u6211\u4eec\u901a\u5e38\u9700\u8981\u4ece\u67e5\u8be2\u7ed3\u679c\u4e2d\u63d0\u53d6\u6570\u5b57\u3002<\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
conn = sqlite3.connect(':memory:')<\/p>\n
cursor = conn.cursor()<\/p>\n
\u521b\u5efa\u8868\u5e76\u63d2\u5165\u6570\u636e<\/strong><\/h2>\n
cursor.execute('CREATE TABLE users (id INTEGER, name TEXT, age INTEGER)')<\/p>\n
cursor.execute('INSERT INTO users VALUES (1, "Alice", 25)')<\/p>\n
cursor.execute('INSERT INTO users VALUES (2, "Bob", 30)')<\/p>\n
cursor.execute('INSERT INTO users VALUES (3, "Charlie", 35)')<\/p>\n
conn.commit()<\/p>\n
\u67e5\u8be2\u6570\u636e<\/strong><\/h2>\n
cursor.execute('SELECT age FROM users')<\/p>\n
ages = [row[0] for row in cursor.fetchall()]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u6570\u636e\u5e93\u67e5\u8be2\u7ed3\u679c\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u5b57\u3002<\/p>\n<\/p>\n
\u516d\u3001\u6570\u636e\u5904\u7406\u548c\u5206\u6790<\/h2>\n<\/p>\n
\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u901a\u5e38\u9700\u8981\u4ece\u6570\u636e\u96c6\u4e2d\u63d0\u53d6\u6570\u503c\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n
6.1 \u4f7f\u7528pandas\u5904\u7406\u6570\u636e<\/h3>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e\u6846<\/strong><\/h2>\n
data = {<\/p>\n
    'name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
    'age': [25, 30, 35],<\/p>\n
    'score': [85, 90, 95]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u63d0\u53d6age\u5217\u7684\u503c<\/strong><\/h2>\n
ages = df['age'].tolist()<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
\u8ba1\u7b97\u5e73\u5747\u5e74\u9f84<\/strong><\/h2>\n
average_age = df['age'].mean()<\/p>\n
print(average_age)  # \u8f93\u51fa\uff1a30.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n
6.2 \u6570\u636e\u6e05\u6d17\u548c\u9884\u5904\u7406<\/h3>\n<\/p>\n
\u5728\u6570\u636e\u6e05\u6d17\u548c\u9884\u5904\u7406\u8fc7\u7a0b\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5904\u7406\u7f3a\u5931\u503c\u3001\u91cd\u590d\u503c\u7b49\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e\u6846<\/strong><\/h2>\n
data = {<\/p>\n
    'name': ['Alice', 'Bob', 'Charlie', 'David', np.nan],<\/p>\n
    'age': [25, 30, 35, np.nan, 40],<\/p>\n
    'score': [85, 90, np.nan, 75, 95]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
df['age'].fillna(df['age'].mean(), inplace=True)<\/p>\n
df['score'].fillna(df['score'].median(), inplace=True)<\/p>\n
\u63d0\u53d6\u5904\u7406\u540e\u7684age\u5217\u7684\u503c<\/strong><\/h2>\n
ages = df['age'].tolist()<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25.0, 30.0, 35.0, 32.5, 40.0]<\/p>\n
\u8ba1\u7b97\u5e73\u5747\u5e74\u9f84<\/strong><\/h2>\n
average_age = df['age'].mean()<\/p>\n
print(average_age)  # \u8f93\u51fa\uff1a32.5<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u6570\u636e\u6e05\u6d17\u548c\u9884\u5904\u7406\uff0c\u53ef\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u5904\u7406JSON\u6570\u636e<\/h2>\n<\/p>\n
\u5728\u5904\u7406JSON\u6570\u636e\u65f6\uff0c\u6211\u4eec\u901a\u5e38\u9700\u8981\u89e3\u6790\u548c\u63d0\u53d6\u5176\u4e2d\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
7.1 \u89e3\u6790JSON\u6570\u636e<\/h3>\n<\/p>\n
import json<\/p>\n
JSON\u5b57\u7b26\u4e32<\/strong><\/h2>\n
json_string = '{"users":[{"name":"Alice","age":25},{"name":"Bob","age":30},{"name":"Charlie","age":35}]}'<\/p>\n
\u89e3\u6790JSON\u6570\u636e<\/strong><\/h2>\n
data = json.loads(json_string)<\/p>\n
\u63d0\u53d6\u6240\u6709\u7528\u6237\u7684\u5e74\u9f84<\/strong><\/h2>\n
ages = [user['age'] for user in data['users']]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u89e3\u6790JSON\u6570\u636e\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u5b57\u3002<\/p>\n<\/p>\n
7.2 \u5904\u7406\u5d4c\u5957JSON\u6570\u636e<\/h3>\n<\/p>\n
import json<\/p>\n
\u5d4c\u5957JSON\u5b57\u7b26\u4e32<\/strong><\/h2>\n
json_string = '''<\/p>\n
{<\/p>\n
    "data": {<\/p>\n
        "users": [<\/p>\n
            {"name": "Alice", "detAI<\/a>ls": {"age": 25, "score": 85}},<\/p>\n
            {"name": "Bob", "details": {"age": 30, "score": 90}},<\/p>\n
            {"name": "Charlie", "details": {"age": 35, "score": 95}}<\/p>\n
        ]<\/p>\n
    }<\/p>\n
}<\/p>\n
'''<\/p>\n
\u89e3\u6790JSON\u6570\u636e<\/strong><\/h2>\n
data = json.loads(json_string)<\/p>\n
\u63d0\u53d6\u6240\u6709\u7528\u6237\u7684\u5e74\u9f84<\/strong><\/h2>\n
ages = [user['details']['age'] for user in data['data']['users']]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u89e3\u6790\u5d4c\u5957\u7684JSON\u6570\u636e\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
\u516b\u3001\u5904\u7406XML\u6570\u636e<\/h2>\n<\/p>\n
\u5728\u5904\u7406XML\u6570\u636e\u65f6\uff0c\u6211\u4eec\u901a\u5e38\u9700\u8981\u89e3\u6790\u548c\u63d0\u53d6\u5176\u4e2d\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
8.1 \u89e3\u6790XML\u6570\u636e<\/h3>\n<\/p>\n
import xml.etree.ElementTree as ET<\/p>\n
XML\u5b57\u7b26\u4e32<\/strong><\/h2>\n
xml_string = '''<\/p>\n
<data><\/p>\n
    <user><\/p>\n
        <name>Alice<\/name><\/p>\n
        <age>25<\/age><\/p>\n
    <\/user><\/p>\n
    <user><\/p>\n
        <name>Bob<\/name><\/p>\n
        <age>30<\/age><\/p>\n
    <\/user><\/p>\n
    <user><\/p>\n
        <name>Charlie<\/name><\/p>\n
        <age>35<\/age><\/p>\n
    <\/user><\/p>\n
<\/data><\/p>\n
'''<\/p>\n
\u89e3\u6790XML\u6570\u636e<\/strong><\/h2>\n
root = ET.fromstring(xml_string)<\/p>\n
\u63d0\u53d6\u6240\u6709\u7528\u6237\u7684\u5e74\u9f84<\/strong><\/h2>\n
ages = [int(user.find('age').text) for user in root.findall('user')]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u89e3\u6790XML\u6570\u636e\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
8.2 \u5904\u7406\u590d\u6742XML\u6570\u636e<\/h3>\n<\/p>\n
import xml.etree.ElementTree as ET<\/p>\n
\u590d\u6742XML\u5b57\u7b26\u4e32<\/strong><\/h2>\n
xml_string = '''<\/p>\n
<data><\/p>\n
    <users><\/p>\n
        <user><\/p>\n
            <name>Alice<\/name><\/p>\n
            <details><\/p>\n
                <age>25<\/age><\/p>\n
                <score>85<\/score><\/p>\n
            <\/details><\/p>\n
        <\/user><\/p>\n
        <user><\/p>\n
            <name>Bob<\/name><\/p>\n
            <details><\/p>\n
                <age>30<\/age><\/p>\n
                <score>90<\/score><\/p>\n
            <\/details><\/p>\n
        <\/user><\/p>\n
        <user><\/p>\n
            <name>Charlie<\/name><\/p>\n
            <details><\/p>\n
                <age>35<\/age><\/p>\n
                <score>95<\/score><\/p>\n
            <\/details><\/p>\n
        <\/user><\/p>\n
    <\/users><\/p>\n
<\/data><\/p>\n
'''<\/p>\n
\u89e3\u6790XML\u6570\u636e<\/strong><\/h2>\n
root = ET.fromstring(xml_string)<\/p>\n
\u63d0\u53d6\u6240\u6709\u7528\u6237\u7684\u5e74\u9f84<\/strong><\/h2>\n
ages = [int(user.find('details\/age').text) for user in root.findall('users\/user')]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u89e3\u6790\u590d\u6742\u7684XML\u6570\u636e\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u5904\u7406CSV\u6570\u636e<\/h2>\n<\/p>\n
\u5728\u5904\u7406CSV\u6570\u636e\u65f6\uff0c\u6211\u4eec\u901a\u5e38\u9700\u8981\u8bfb\u53d6\u548c\u63d0\u53d6\u5176\u4e2d\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
9.1 \u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
import csv<\/p>\n
CSV\u5b57\u7b26\u4e32<\/strong><\/h2>\n
csv_string = '''name,age,score<\/p>\n
Alice,25,85<\/p>\n
Bob,30,90<\/p>\n
Charlie,35,95<\/p>\n
'''<\/p>\n
\u8bfb\u53d6CSV\u6570\u636e<\/strong><\/h2>\n
data = csv.reader(csv_string.strip().split('\\n'))<\/p>\n
\u63d0\u53d6\u6240\u6709\u7528\u6237\u7684\u5e74\u9f84<\/strong><\/h2>\n
ages = [int(row[1]) for row in list(data)[1:]]<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8bfb\u53d6CSV\u6570\u636e\uff0c\u53ef\u4ee5\u63d0\u53d6\u51fa\u9700\u8981\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
9.2 \u4f7f\u7528pandas\u5904\u7406CSV\u6570\u636e<\/h3>\n<\/p>\n
import pandas as pd<\/p>\n
from io import StringIO<\/p>\n
CSV\u5b57\u7b26\u4e32<\/strong><\/h2>\n
csv_string = '''name,age,score<\/p>\n
Alice,25,85<\/p>\n
Bob,30,90<\/p>\n
Charlie,35,95<\/p>\n
'''<\/p>\n
\u8bfb\u53d6CSV\u6570\u636e<\/strong><\/h2>\n
df = pd.read_csv(StringIO(csv_string))<\/p>\n
\u63d0\u53d6age\u5217\u7684\u503c<\/strong><\/h2>\n
ages = df['age'].tolist()<\/p>\n
print(ages)  # \u8f93\u51fa\uff1a[25, 30, 35]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406CSV\u6570\u636e\u3002<\/p>\n<\/p>\n
\u5341\u3001\u7ed3\u8bba<\/h2>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u4e86\u89e3\u4e86\u5982\u4f55\u5728Python\u4e2d\u4ece\u4e0d\u540c\u6570\u636e\u7ed3\u6784\u4e2d\u83b7\u53d6\u6570\u503c\uff0c\u5305\u62ec\u5b57\u5178\u3001\u5217\u8868\u3001\u7c7b\u3001\u5b57\u7b26\u4e32\u3001JSON\u3001XML\u3001CSV\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u70b9\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u63d0\u53d6\u548c\u5904\u7406\u6570\u636e\u3002\u638c\u63e1\u8fd9\u4e9b\u6280\u5de7\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u6548\u7387\u3002<\/strong><\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u83b7\u53d6\u5b57\u5178\u4e2d\u7279\u5b9a\u952e\u7684\u6570\u503c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u5982\u679c\u4f60\u6709\u4e00\u4e2a\u5b57\u5178\u5e76\u4e14\u60f3\u83b7\u53d6\u67d0\u4e2a\u7279\u5b9a\u952e\u7684\u6570\u503c\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u952e\u6765\u7d22\u5f15\u5b57\u5178\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u6709\u4e00\u4e2a\u5b57\u5178 data = {'a': 1, 'b': 2}<\/code>\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7 value = data['a']<\/code> \u6765\u83b7\u53d6\u952e 'a'<\/code> \u5bf9\u5e94\u7684\u503c\u3002\u5728\u8bbf\u95ee\u4e4b\u524d\uff0c\u6700\u597d\u68c0\u67e5\u8be5\u952e\u662f\u5426\u5b58\u5728\uff0c\u4ee5\u907f\u514d\u5f15\u53d1 KeyError<\/code>\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u5e26\u6709\u6570\u5b57\u7684\u5b57\u7b26\u4e32\uff1f<\/strong>
\u5982\u679c\u4f60\u60f3\u4ece\u4e00\u4e2a\u5b57\u7b26\u4e32\u4e2d\u63d0\u53d6\u6570\u5b57\uff0c\u53ef\u4ee5\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u3002Python\u7684 re<\/code> \u6a21\u5757\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u6765\u5904\u7406\u8fd9\u79cd\u60c5\u51b5\u3002\u4f8b\u5982\uff0c\u4f7f\u7528 re.findall(r'\\d+', string)<\/code> \u53ef\u4ee5\u63d0\u53d6\u5b57\u7b26\u4e32\u4e2d\u7684\u6240\u6709\u6570\u5b57\uff0c\u5e76\u5c06\u5176\u4f5c\u4e3a\u5217\u8868\u8fd4\u56de\u3002\u8fd9\u6837\uff0c\u4f60\u5c31\u53ef\u4ee5\u8f7b\u677e\u8bbf\u95ee\u548c\u5904\u7406\u8fd9\u4e9b\u6570\u5b57\u3002<\/p>\n
\u5982\u4f55\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4ee5\u83b7\u53d6\u6570\u503c\uff1f<\/strong>
\u5728\u5904\u7406\u6570\u636e\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u6570\u5b57\u4ee5\u5b57\u7b26\u4e32\u5f62\u5f0f\u5b58\u50a8\u7684\u60c5\u51b5\u3002\u8981\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6570\u5b57\uff0c\u53ef\u4ee5\u4f7f\u7528 int()<\/code> \u6216 float()<\/code> \u51fd\u6570\u3002\u4f8b\u5982\uff0cnum = int("123")<\/code> \u5c06\u5b57\u7b26\u4e32 "123"<\/code> \u8f6c\u6362\u4e3a\u6574\u6570 123<\/code>\u3002\u786e\u4fdd\u5b57\u7b26\u4e32\u5185\u5bb9\u662f\u6709\u6548\u7684\u6570\u5b57\u683c\u5f0f\uff0c\u4ee5\u907f\u514d\u8f6c\u6362\u65f6\u51fa\u73b0\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u83b7\u53d6value\u7684\u6570\u5b57\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5305\u62ec\u4f7f\u7528\u5b57\u5178\u3001\u5217\u8868\u3001\u7c7b\u7b49\u4e0d\u540c\u7684\u6570\u636e\u7ed3\u6784\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u901a […]","protected":false},"author":3,"featured_media":1185247,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1185243"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1185243"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1185243\/revisions"}],"predecessor-version":[{"id":1185248,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1185243\/revisions\/1185248"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1185247"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1185243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1185243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1185243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}