{"id":1090967,"date":"2025-01-08T14:07:14","date_gmt":"2025-01-08T06:07:14","guid":{"rendered":""},"modified":"2025-01-08T14:07:23","modified_gmt":"2025-01-08T06:07:23","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e5%a4%9a%e9%87%8d%e5%88%97%e8%a1%a8%e5%86%85%e5%ae%b9%e5%86%99%e8%bf%9b%e6%96%87%e4%bb%b6-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1090967.html","title":{"rendered":"python\u5982\u4f55\u628a\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5199\u8fdb\u6587\u4ef6"},"content":{"rendered":"

\"python\u5982\u4f55\u628a\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5199\u8fdb\u6587\u4ef6\"<\/p>\n

Python\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5c06\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5199\u8fdb\u6587\u4ef6\uff0c\u5982\u5229\u7528write()\u51fd\u6570\u3001\u4f7f\u7528csv\u6a21\u5757\u3001\u501f\u52a9json\u6a21\u5757\u7b49\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u4ecb\u7ecd\u3002<\/strong><\/p>\n<\/p>\n

\u8981\u5c06\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5199\u5165\u6587\u4ef6\uff0c\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570\u548c\u6807\u51c6\u5e93\u3002\u6700\u5e38\u89c1\u7684\u51e0\u79cd\u65b9\u6cd5\u5305\u62ec\uff1a\u76f4\u63a5\u5199\u5165\u6587\u672c\u6587\u4ef6\u3001\u4f7f\u7528CSV\u6a21\u5757\u3001\u4f7f\u7528JSON\u6a21\u5757<\/strong>\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\u2014\u2014\u4f7f\u7528CSV\u6a21\u5757\u6765\u5199\u5165\u591a\u91cd\u5217\u8868\u5185\u5bb9\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528CSV\u6a21\u5757\u5199\u5165\u591a\u91cd\u5217\u8868<\/h3>\n<\/p>\n

Python\u7684csv\u6a21\u5757\u63d0\u4f9b\u4e86\u4fbf\u6377\u7684\u65b9\u6cd5\u6765\u8bfb\u5199CSV\u6587\u4ef6\u3002CSV\u6587\u4ef6\u662f\u4e00\u79cd\u6587\u672c\u6587\u4ef6\uff0c\u5176\u5185\u5bb9\u4ee5\u9017\u53f7\u5206\u9694\u7b26\u5206\u5f00\uff0c\u975e\u5e38\u9002\u5408\u7528\u4e8e\u5b58\u50a8\u8868\u683c\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528csv\u6a21\u5757\u5c06\u591a\u91cd\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

import csv<\/p>\n
\u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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\u5f00\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\u591a\u91cd\u5217\u8868\u5185\u5bb9<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u76f4\u63a5\u5199\u5165\u6587\u672c\u6587\u4ef6<\/h3>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u9002\u5408\u7b80\u5355\u7684\u591a\u91cd\u5217\u8868\uff0c\u53ef\u4ee5\u5c06\u6bcf\u4e2a\u5b50\u5217\u8868\u8f6c\u6362\u6210\u5b57\u7b26\u4e32\u5e76\u9010\u884c\u5199\u5165\u6587\u4ef6\u3002<\/p>\n<\/p>\n
# \u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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\u5f00\u6587\u4ef6\uff0c\u51c6\u5907\u5199\u5165<\/strong><\/h2>\n
with open('output.txt', 'w') as file:<\/p>\n
    for row in data:<\/p>\n
        # \u5c06\u5b50\u5217\u8868\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\uff0c\u5e76\u5199\u5165\u6587\u4ef6<\/p>\n
        file.write(', '.join(map(str, row)) + '\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528JSON\u6a21\u5757\u5199\u5165\u591a\u91cd\u5217\u8868<\/h3>\n<\/p>\n
JSON\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u975e\u5e38\u6613\u4e8e\u4eba\u548c\u673a\u5668\u89e3\u6790\u3002Python\u7684json\u6a21\u5757\u63d0\u4f9b\u4e86\u8bfb\u5199JSON\u6587\u4ef6\u7684\u4fbf\u6377\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
import json<\/p>\n
\u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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\u5f00\u6587\u4ef6\uff0c\u51c6\u5907\u5199\u5165<\/strong><\/h2>\n
with open('output.json', 'w') as file:<\/p>\n
    # \u4f7f\u7528json.dump()\u5199\u5165\u591a\u91cd\u5217\u8868<\/p>\n
    json.dump(data, file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528Pandas\u6a21\u5757\u5199\u5165\u591a\u91cd\u5217\u8868<\/h3>\n<\/p>\n
Pandas\u5e93\u662fPython\u6570\u636e\u5206\u6790\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u64c5\u957f\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u591a\u91cd\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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
\u5c06\u591a\u91cd\u5217\u8868\u8f6c\u6362\u4e3aDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data[1:], columns=data[0])<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output_pandas.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528Numpy\u6a21\u5757\u5199\u5165\u591a\u91cd\u5217\u8868<\/h3>\n<\/p>\n
Numpy\u5e93\u4e3b\u8981\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\uff0c\u53ef\u4ee5\u5c06\u591a\u91cd\u5217\u8868\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4\uff0c\u7136\u540e\u5199\u5165\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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
\u8f6c\u6362\u4e3aNumpy\u6570\u7ec4<\/strong><\/h2>\n
data_array = np.array(data)<\/p>\n
\u5199\u5165\u6587\u4ef6<\/strong><\/h2>\n
np.savetxt('output_numpy.txt', data_array, fmt='%s', delimiter=',')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4f7f\u7528Pickle\u6a21\u5757\u5199\u5165\u591a\u91cd\u5217\u8868<\/h3>\n<\/p>\n
Pickle\u6a21\u5757\u53ef\u4ee5\u5c06Python\u5bf9\u8c61\u5e8f\u5217\u5316\uff0c\u4ee5\u4fbf\u4ee5\u540e\u6062\u590d\u3002\u9002\u7528\u4e8e\u9700\u8981\u4fdd\u5b58\u590d\u6742\u6570\u636e\u7ed3\u6784\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
import pickle<\/p>\n
\u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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\u5f00\u6587\u4ef6\uff0c\u51c6\u5907\u5199\u5165<\/strong><\/h2>\n
with open('output.pkl', 'wb') as file:<\/p>\n
    # \u4f7f\u7528pickle.dump()\u5199\u5165\u591a\u91cd\u5217\u8868<\/p>\n
    pickle.dump(data, file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528Excel\u5199\u5165\u591a\u91cd\u5217\u8868<\/h3>\n<\/p>\n
\u6709\u65f6\u9700\u8981\u5c06\u591a\u91cd\u5217\u8868\u5199\u5165Excel\u6587\u4ef6\uff0cPython\u7684openpyxl\u6a21\u5757\u53ef\u4ee5\u6ee1\u8db3\u8fd9\u4e00\u9700\u6c42\u3002<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
\u5b9a\u4e49\u591a\u91cd\u5217\u8868<\/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
\u521b\u5efa\u4e00\u4e2aWorkbook\u5bf9\u8c61<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
\u5199\u5165\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5230Excel\u8868\u683c<\/strong><\/h2>\n
for row in data:<\/p>\n
    ws.append(row)<\/p>\n
\u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
Python\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u5c06\u591a\u91cd\u5217\u8868\u5199\u5165\u6587\u4ef6\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u7279\u5b9a\u7684\u5e94\u7528\u573a\u666f\u548c\u4f18\u70b9\u3002\u4f7f\u7528CSV\u6a21\u5757\u5199\u5165\u591a\u91cd\u5217\u8868\u3001\u76f4\u63a5\u5199\u5165\u6587\u672c\u6587\u4ef6\u3001\u4f7f\u7528JSON\u6a21\u5757\u3001\u4f7f\u7528Pandas\u6a21\u5757\u3001\u4f7f\u7528Numpy\u6a21\u5757\u3001\u4f7f\u7528Pickle\u6a21\u5757\u3001\u4f7f\u7528Excel\u5199\u5165\u591a\u91cd\u5217\u8868<\/strong>\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u4f7f\u7528\u3002\u4e86\u89e3\u5e76\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u9ad8\u6548\u5730\u5904\u7406\u548c\u5b58\u50a8\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5c06Python\u4e2d\u7684\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5199\u5165\u6587\u4ef6\uff1f<\/strong>
\u5c06\u591a\u91cd\u5217\u8868\u5199\u5165\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u662f\u6253\u5f00\u6587\u4ef6\u3001\u904d\u5386\u5217\u8868\u5e76\u5c06\u6bcf\u4e2a\u5143\u7d20\u5199\u5165\u6587\u4ef6\u3002\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570\uff0c\u5982open()<\/code>\u548cwrite()<\/code>\uff0c\u6216\u4f7f\u7528csv<\/code>\u6a21\u5757\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u4f60\u60f3\u8981\u7684\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n
\u5728\u5199\u5165\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u683c\u5f0f\u5316\u591a\u91cd\u5217\u8868\u5185\u5bb9\uff1f<\/strong>
\u5728\u5c06\u591a\u91cd\u5217\u8868\u5199\u5165\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u683c\u5f0f\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u6362\u884c\u7b26\u5206\u9694\u6bcf\u4e2a\u5b50\u5217\u8868\uff0c\u6216\u4f7f\u7528\u9017\u53f7\u3001\u5236\u8868\u7b26\u7b49\u5206\u9694\u7b26\u5206\u9694\u5143\u7d20\u3002\u4f7f\u7528json<\/code>\u6a21\u5757\u4e5f\u53ef\u4ee5\u5c06\u5217\u8868\u8f6c\u6362\u4e3aJSON\u683c\u5f0f\uff0c\u4fbf\u4e8e\u5b58\u50a8\u548c\u8bfb\u53d6\u3002<\/p>\n
\u4f7f\u7528Python\u5199\u5165\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u5f02\u5e38\u60c5\u51b5\uff1f<\/strong>
\u5728\u5199\u5165\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u5404\u79cd\u5f02\u5e38\uff0c\u6bd4\u5982\u6587\u4ef6\u65e0\u6cd5\u6253\u5f00\u6216\u5199\u5165\u6743\u9650\u4e0d\u8db3\u3002\u4f7f\u7528try<\/code>\u548cexcept<\/code>\u8bed\u53e5\u53ef\u4ee5\u6709\u6548\u5904\u7406\u8fd9\u4e9b\u5f02\u5e38\uff0c\u786e\u4fdd\u7a0b\u5e8f\u7684\u7a33\u5b9a\u6027\u3002\u4f8b\u5982\uff0c\u5728\u6253\u5f00\u6587\u4ef6\u524d\uff0c\u68c0\u67e5\u6587\u4ef6\u8def\u5f84\u662f\u5426\u6b63\u786e\uff0c\u5e76\u5728\u5199\u5165\u8fc7\u7a0b\u4e2d\u6355\u83b7\u53ef\u80fd\u51fa\u73b0\u7684\u9519\u8bef\u3002<\/p>\n
\u5982\u4f55\u786e\u4fdd\u5199\u5165\u6587\u4ef6\u7684\u5185\u5bb9\u53ef\u8bfb\u6027\uff1f<\/strong>
\u4e3a\u4e86\u63d0\u9ad8\u6587\u4ef6\u5185\u5bb9\u7684\u53ef\u8bfb\u6027\uff0c\u53ef\u4ee5\u5728\u5199\u5165\u65f6\u6dfb\u52a0\u6ce8\u91ca\u6216\u6807\u9898\uff0c\u4f7f\u7528\u9002\u5f53\u7684\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5728\u6bcf\u4e2a\u5b50\u5217\u8868\u524d\u6dfb\u52a0\u63cf\u8ff0\uff0c\u6216\u8005\u5c06\u6570\u636e\u683c\u5f0f\u5316\u4e3a\u8868\u683c\u5f62\u5f0f\u3002\u786e\u4fdd\u9009\u62e9\u5408\u9002\u7684\u7f16\u7801\u683c\u5f0f\uff0c\u5982UTF-8\uff0c\u4ee5\u652f\u6301\u4e0d\u540c\u5b57\u7b26\u7684\u5199\u5165\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5c06\u591a\u91cd\u5217\u8868\u5185\u5bb9\u5199\u8fdb\u6587\u4ef6\uff0c\u5982\u5229\u7528write()\u51fd\u6570\u3001\u4f7f\u7528csv\u6a21\u5757\u3001\u501f\u52a9json\u6a21\u5757 […]","protected":false},"author":3,"featured_media":1090981,"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\/1090967"}],"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=1090967"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1090967\/revisions"}],"predecessor-version":[{"id":1090984,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1090967\/revisions\/1090984"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1090981"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1090967"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1090967"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1090967"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}