{"id":1085518,"date":"2025-01-08T13:16:53","date_gmt":"2025-01-08T05:16:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1085518.html"},"modified":"2025-01-08T13:16:55","modified_gmt":"2025-01-08T05:16:55","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e5%ad%97%e7%ac%a6%e4%b8%b2%e5%86%99%e5%85%a5cav-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1085518.html","title":{"rendered":"Python\u5982\u4f55\u628a\u5b57\u7b26\u4e32\u5199\u5165cav"},"content":{"rendered":"

\"Python\u5982\u4f55\u628a\u5b57\u7b26\u4e32\u5199\u5165cav\"<\/p>\n

Python \u628a\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u4ee5\u4e0b\u51e0\u79cd\uff1a\u4f7f\u7528csv\u6a21\u5757\u3001\u4f7f\u7528pandas\u6a21\u5757\u3001\u76f4\u63a5\u5199\u5165\u6587\u4ef6\u3002<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528csv<\/code>\u6a21\u5757\u3001\u4f7f\u7528pandas<\/code>\u6a21\u5757\u3001\u76f4\u63a5\u5199\u5165\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u65b9\u5f0f\u6765\u8bfb\u5199CSV\u6587\u4ef6\u3002pandas<\/code>\u6a21\u5757\u5219\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u6570\u636e\u64cd\u4f5c\u80fd\u529b\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u96c6\u3002\u76f4\u63a5\u5199\u5165\u6587\u4ef6\u7684\u65b9\u6cd5\u5219\u9002\u7528\u4e8e\u7b80\u5355\u7684\u5199\u5165\u64cd\u4f5c\uff0c\u4e0d\u9700\u8981\u989d\u5916\u6a21\u5757\u7684\u652f\u6301\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u6bcf\u79cd\u65b9\u6cd5\uff0c\u5e76\u7ed9\u51fa\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528csv\u6a21\u5757<\/p>\n<\/p>\n

csv<\/code>\u6a21\u5757\u662fPython\u6807\u51c6\u5e93\u4e2d\u7684\u4e00\u90e8\u5206\uff0c\u63d0\u4f9b\u4e86\u7528\u4e8e\u8bfb\u5199CSV\u6587\u4ef6\u7684\u7b80\u5355\u65b9\u6cd5\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528csv<\/code>\u6a21\u5757\u5c06\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

import csv<\/p>\n
\u8981\u5199\u5165\u7684\u5b57\u7b26\u4e32\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ["Name", "Age", "City"],<\/p>\n
    ["Alice", 30, "New York"],<\/p>\n
    ["Bob", 25, "Los Angeles"],<\/p>\n
    ["Charlie", 35, "Chicago"]<\/p>\n
]<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6\uff0c\u51c6\u5907\u5199\u5165<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\n
    for row in data:<\/p>\n
        writer.writerow(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86csv<\/code>\u6a21\u5757\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b\u5b57\u7b26\u4e32\u6570\u636e\u7684\u5217\u8868\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528open<\/code>\u51fd\u6570\u6253\u5f00\u4e00\u4e2a\u540d\u4e3aoutput.csv<\/code>\u7684\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8bbe\u7f6e\u4e3a\u5199\u5165\u6a21\u5f0f\u3002\u901a\u8fc7csv.writer<\/code>\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528writer.writerow<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u9010\u884c\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528pandas\u6a21\u5757<\/p>\n<\/p>\n
pandas<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u6570\u636e\u96c6\u3002\u4f7f\u7528pandas<\/code>\u6a21\u5757\u5199\u5165CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u5e76\u4e14\u53ef\u4ee5\u5904\u7406\u66f4\u52a0\u590d\u6742\u7684\u6570\u636e\u683c\u5f0f\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528pandas<\/code>\u6a21\u5757\u5c06\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8981\u5199\u5165\u7684\u5b57\u7b26\u4e32\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    "Name": ["Alice", "Bob", "Charlie"],<\/p>\n
    "Age": [30, 25, 35],<\/p>\n
    "City": ["New York", "Los Angeles", "Chicago"]<\/p>\n
}<\/p>\n
\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86pandas<\/code>\u6a21\u5757\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b\u5b57\u7b26\u4e32\u6570\u636e\u7684\u5b57\u5178\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528pandas.DataFrame<\/code>\u5c06\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u76f4\u63a5\u5199\u5165\u6587\u4ef6<\/p>\n<\/p>\n
\u5bf9\u4e8e\u7b80\u5355\u7684\u5b57\u7b26\u4e32\u5199\u5165\u64cd\u4f5c\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528Python\u7684\u6587\u4ef6\u64cd\u4f5c\u51fd\u6570\u6765\u5b8c\u6210\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u76f4\u63a5\u5c06\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u8981\u5199\u5165\u7684\u5b57\u7b26\u4e32\u6570\u636e<\/p>\n
data = [<\/p>\n
    "Name,Age,City",<\/p>\n
    "Alice,30,New York",<\/p>\n
    "Bob,25,Los Angeles",<\/p>\n
    "Charlie,35,Chicago"<\/p>\n
]<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6\uff0c\u51c6\u5907\u5199\u5165<\/strong><\/h2>\n
with open('output.csv', 'w') as file:<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\n
    for row in data:<\/p>\n
        file.write(row + '\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b\u5b57\u7b26\u4e32\u6570\u636e\u7684\u5217\u8868\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528open<\/code>\u51fd\u6570\u6253\u5f00\u4e00\u4e2a\u540d\u4e3aoutput.csv<\/code>\u7684\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8bbe\u7f6e\u4e3a\u5199\u5165\u6a21\u5f0f\u3002\u901a\u8fc7\u5faa\u73af\u904d\u5386\u6570\u636e\u5217\u8868\uff0c\u4f7f\u7528write<\/code>\u65b9\u6cd5\u5c06\u6bcf\u884c\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u4e2d\uff0c\u5e76\u5728\u884c\u672b\u6dfb\u52a0\u6362\u884c\u7b26\u3002<\/p>\n<\/p>\n
\u56db\u3001\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u548c\u7f16\u7801\u95ee\u9898<\/p>\n<\/p>\n
\u5728\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7279\u6b8a\u5b57\u7b26\u548c\u7f16\u7801\u95ee\u9898\u3002\u4e3a\u4e86\u786e\u4fdd\u6570\u636e\u80fd\u591f\u6b63\u786e\u5199\u5165\u548c\u8bfb\u53d6\uff0c\u6211\u4eec\u9700\u8981\u6307\u5b9a\u9002\u5f53\u7684\u7f16\u7801\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6570\u636e\u5305\u542b\u975eASCII\u5b57\u7b26\uff0c\u53ef\u4ee5\u4f7f\u7528UTF-8\u7f16\u7801\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u8981\u5199\u5165\u7684\u5b57\u7b26\u4e32\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ["Name", "Age", "City"],<\/p>\n
    ["Alice", 30, "New York"],<\/p>\n
    ["Bob", 25, "Los Angeles"],<\/p>\n
    ["Charlie", 35, "Chicago"],<\/p>\n
    ["\u5f20\u4e09", 28, "\u5317\u4eac"]<\/p>\n
]<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6\uff0c\u51c6\u5907\u5199\u5165\uff0c\u6307\u5b9aUTF-8\u7f16\u7801<\/strong><\/h2>\n
with open('output_utf8.csv', 'w', newline='', encoding='utf-8') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\n
    for row in data:<\/p>\n
        writer.writerow(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5728\u6253\u5f00\u6587\u4ef6\u65f6\u6307\u5b9a\u4e86encoding='utf-8'<\/code>\uff0c\u4ee5\u786e\u4fdd\u80fd\u591f\u6b63\u786e\u5904\u7406\u5305\u542b\u975eASCII\u5b57\u7b26\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5904\u7406\u590d\u6742\u6570\u636e\u7ed3\u6784<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5904\u7406\u66f4\u52a0\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0c\u4f8b\u5982\u5d4c\u5957\u5217\u8868\u6216\u5b57\u5178\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u6a21\u5757\u6765\u7b80\u5316\u64cd\u4f5c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u5904\u7406\u590d\u6742\u6570\u636e\u7ed3\u6784\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8981\u5199\u5165\u7684\u590d\u6742\u6570\u636e\u7ed3\u6784<\/strong><\/h2>\n
data = {<\/p>\n
    "Name": ["Alice", "Bob", "Charlie"],<\/p>\n
    "Age": [30, 25, 35],<\/p>\n
    "City": ["New York", "Los Angeles", "Chicago"],<\/p>\n
    "Scores": [[85, 90, 88], [78, 82, 80], [92, 95, 94]]<\/p>\n
}<\/p>\n
\u521b\u5efaDataFrame\uff0c\u5e76\u5c06\u5d4c\u5957\u5217\u8868\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
df['Scores'] = df['Scores'].apply(lambda x: ','.join(map(str, x)))<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output_complex.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u5305\u542b\u5d4c\u5957\u5217\u8868\u7684\u5b57\u5178\u6570\u636e\u7ed3\u6784\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528pandas.DataFrame<\/code>\u5c06\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u683c\u5f0f\uff0c\u5e76\u901a\u8fc7apply<\/code>\u65b9\u6cd5\u5c06\u5d4c\u5957\u5217\u8868\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u516d\u3001\u8bfb\u53d6\u548c\u9a8c\u8bc1CSV\u6587\u4ef6<\/p>\n<\/p>\n
\u4e3a\u4e86\u786e\u4fdd\u6211\u4eec\u5199\u5165\u7684CSV\u6587\u4ef6\u662f\u6b63\u786e\u7684\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6216pandas<\/code>\u6a21\u5757\u8bfb\u53d6\u6587\u4ef6\u5e76\u8fdb\u884c\u9a8c\u8bc1\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('output.csv')<\/p>\n
\u6253\u5370\u8bfb\u53d6\u7684\u6570\u636e<\/strong><\/h2>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas.read_csv<\/code>\u65b9\u6cd5\u8bfb\u53d6output.csv<\/code>\u6587\u4ef6\uff0c\u5e76\u6253\u5370\u8bfb\u53d6\u7684\u6570\u636e\u4ee5\u8fdb\u884c\u9a8c\u8bc1\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u9002\u7528\u4e8e\u7b80\u5355\u7684\u8bfb\u5199\u64cd\u4f5c\uff0c\u4f7f\u7528pandas<\/code>\u6a21\u5757\u9002\u7528\u4e8e\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u548c\u64cd\u4f5c\uff0c\u76f4\u63a5\u5199\u5165\u6587\u4ef6\u7684\u65b9\u6cd5\u5219\u9002\u7528\u4e8e\u975e\u5e38\u7b80\u5355\u7684\u5199\u5165\u64cd\u4f5c\u3002\u5728\u5904\u7406\u7279\u6b8a\u5b57\u7b26\u548c\u590d\u6742\u6570\u636e\u7ed3\u6784\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u9002\u5f53\u7684\u7f16\u7801\u548c\u6570\u636e\u8f6c\u6362\u65b9\u6cd5\u6765\u786e\u4fdd\u6570\u636e\u7684\u6b63\u786e\u6027\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u548c\u793a\u4f8b\u80fd\u591f\u5e2e\u52a9\u4f60\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u66f4\u597d\u5730\u5904\u7406CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6765\u5c06\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u9700\u8981\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\u5e76\u521b\u5efa\u4e00\u4e2aCSV\u5199\u5165\u5bf9\u8c61\u3002\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528writerow()<\/code>\u6216writerows()<\/code>\u65b9\u6cd5\u5c06\u5b57\u7b26\u4e32\u5199\u5165\u6587\u4ef6\u4e2d\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
import csv\n\ndata = ['\u5b57\u7b26\u4e321', '\u5b57\u7b26\u4e322', '\u5b57\u7b26\u4e323']  # \u8981\u5199\u5165\u7684\u5b57\u7b26\u4e32\u6570\u636e\n\nwith open('output.csv', mode='w', newline='', encoding='utf-8') as file:\n    writer = csv.writer(file)\n    writer.writerow(data)  # \u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\n<\/code><\/pre>\n
\u5728Python\u4e2d\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7279\u6b8a\u5b57\u7b26\uff1f<\/strong>
\u5728\u5904\u7406\u5305\u542b\u7279\u6b8a\u5b57\u7b26\uff08\u5982\u9017\u53f7\u3001\u5f15\u53f7\u7b49\uff09\u7684\u5b57\u7b26\u4e32\u65f6\uff0ccsv<\/code>\u6a21\u5757\u4f1a\u81ea\u52a8\u5904\u7406\u8fd9\u4e9b\u60c5\u51b5\u3002\u4f7f\u7528quotechar<\/code>\u548cquoting<\/code>\u53c2\u6570\u53ef\u4ee5\u8fdb\u4e00\u6b65\u81ea\u5b9a\u4e49\u5904\u7406\u65b9\u5f0f\u3002\u4f8b\u5982\uff0c\u5982\u679c\u5b57\u7b26\u4e32\u4e2d\u5305\u542b\u9017\u53f7\uff0c\u6a21\u5757\u4f1a\u81ea\u52a8\u5c06\u5176\u7528\u5f15\u53f7\u5305\u88f9\u3002\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6equoting=csv.QUOTE_ALL<\/code>\u6765\u5f3a\u5236\u6240\u6709\u5b57\u6bb5\u90fd\u7528\u5f15\u53f7\u5305\u88f9\u3002<\/p>\n
\u5982\u4f55\u5728CSV\u6587\u4ef6\u4e2d\u5199\u5165\u591a\u884c\u5b57\u7b26\u4e32\u6570\u636e\uff1f<\/strong>
\u4e3a\u4e86\u5199\u5165\u591a\u884c\u5b57\u7b26\u4e32\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528writerows()<\/code>\u65b9\u6cd5\uff0c\u5c06\u4e00\u4e2a\u5305\u542b\u591a\u884c\u6570\u636e\u7684\u5217\u8868\u4f20\u9012\u7ed9\u5b83\u3002\u6bcf\u4e00\u884c\u6570\u636e\u4e5f\u5e94\u5f53\u662f\u4e00\u4e2a\u5217\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a  <\/p>\n
import csv\n\ndata = [\n    ['\u884c1\u5b57\u7b26\u4e321', '\u884c1\u5b57\u7b26\u4e322'],\n    ['\u884c2\u5b57\u7b26\u4e321', '\u884c2\u5b57\u7b26\u4e322'],\n]\n\nwith open('output.csv', mode='w', newline='', encoding='utf-8') as file:\n    writer = csv.writer(file)\n    writer.writerows(data)  # \u5c06\u591a\u884c\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u8f7b\u677e\u5c06\u591a\u884c\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python \u628a\u5b57\u7b26\u4e32\u5199\u5165CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u4ee5\u4e0b\u51e0\u79cd\uff1a\u4f7f\u7528csv\u6a21\u5757\u3001\u4f7f\u7528pandas\u6a21\u5757\u3001\u76f4\u63a5\u5199\u5165\u6587\u4ef6\u3002 \u4f7f […]","protected":false},"author":3,"featured_media":1085529,"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\/1085518"}],"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=1085518"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1085518\/revisions"}],"predecessor-version":[{"id":1085530,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1085518\/revisions\/1085530"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1085529"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1085518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1085518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1085518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}