{"id":1111770,"date":"2025-01-08T17:32:20","date_gmt":"2025-01-08T09:32:20","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1111770.html"},"modified":"2025-01-08T17:32:23","modified_gmt":"2025-01-08T09:32:23","slug":"%e5%a6%82%e4%bd%95%e5%b0%86%e6%96%87%e4%bb%b6%e5%ad%98%e6%88%90csv%e6%a0%bc%e5%bc%8fpython","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1111770.html","title":{"rendered":"\u5982\u4f55\u5c06\u6587\u4ef6\u5b58\u6210csv\u683c\u5f0fpython"},"content":{"rendered":"

\"\u5982\u4f55\u5c06\u6587\u4ef6\u5b58\u6210csv\u683c\u5f0fpython\"<\/p>\n

\u8981\u5c06\u6587\u4ef6\u5b58\u6210csv\u683c\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u3001csv\u5e93\u3001\u4fdd\u5b58\u6570\u636e\u7684\u7075\u6d3b\u6027\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528pandas\u5e93\u662f\u6700\u5e38\u89c1\u4e5f\u662f\u6700\u65b9\u4fbf\u7684\u65b9\u6cd5\u3002\u63a5\u4e0b\u6765\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528\u8fd9\u51e0\u79cd\u65b9\u6cd5\u6765\u4fdd\u5b58\u6587\u4ef6\u4e3acsv\u683c\u5f0f\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528pandas\u5e93<\/p>\n<\/p>\n

\u4f7f\u7528pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u4e3acsv\u683c\u5f0f\u3002pandas\u5e93\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8bfb\u5199\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
data = {'Name': ['John', 'Anna', 'Peter', 'Linda'],<\/p>\n
        'Age': [28, 22, 35, 32],<\/p>\n
        'City': ['New York', 'Paris', 'Berlin', 'London']}<\/p>\n
\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame(data)<\/p>\n
\u4fdd\u5b58\u4e3acsv\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86pandas\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e86\u4e00\u4e2a\u5b57\u5178\u6570\u636e\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3acsv\u6587\u4ef6\uff0cindex=False<\/code>\u53c2\u6570\u8868\u793a\u4e0d\u4fdd\u5b58\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528csv\u5e93<\/p>\n<\/p>\n
csv\u5e93\u662fPython\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\uff0c\u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\u3002csv\u5e93\u63d0\u4f9b\u4e86\u8bfb\u5199csv\u6587\u4ef6\u7684\u57fa\u672c\u529f\u80fd\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
data = [['Name', 'Age', 'City'],<\/p>\n
        ['John', 28, 'New York'],<\/p>\n
        ['Anna', 22, 'Paris'],<\/p>\n
        ['Peter', 35, 'Berlin'],<\/p>\n
        ['Linda', 32, 'London']]<\/p>\n
\u4fdd\u5b58\u4e3acsv\u6587\u4ef6<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86csv\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u5217\u8868\u3002\u63a5\u7740\uff0c\u6211\u4eec\u4f7f\u7528open<\/code>\u51fd\u6570\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528csv.writer<\/code>\u521b\u5efa\u4e00\u4e2acsv\u5199\u5165\u5668\u5bf9\u8c61\uff0c\u6700\u540e\u901a\u8fc7writerows<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165csv\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528numpy\u5e93<\/p>\n<\/p>\n
\u5982\u679c\u6570\u636e\u662f\u6570\u503c\u578b\u7684\uff0c\u53ef\u4ee5\u4f7f\u7528numpy\u5e93\u6765\u4fdd\u5b58\u4e3acsv\u6587\u4ef6\u3002numpy\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u5904\u7406\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
data = np.array([['Name', 'Age', 'City'],<\/p>\n
                 ['John', 28, 'New York'],<\/p>\n
                 ['Anna', 22, 'Paris'],<\/p>\n
                 ['Peter', 35, 'Berlin'],<\/p>\n
                 ['Linda', 32, 'London']])<\/p>\n
\u4fdd\u5b58\u4e3acsv\u6587\u4ef6<\/strong><\/h2>\n
np.savetxt('output.csv', data, delimiter=',', fmt='%s')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86numpy\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684numpy\u6570\u7ec4\u3002\u63a5\u7740\uff0c\u6211\u4eec\u4f7f\u7528savetxt<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u4fdd\u5b58\u4e3acsv\u6587\u4ef6\uff0cdelimiter<\/code>\u53c2\u6570\u6307\u5b9a\u5217\u4e4b\u95f4\u7684\u5206\u9694\u7b26\uff0cfmt<\/code>\u53c2\u6570\u6307\u5b9a\u6570\u636e\u7684\u683c\u5f0f\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528DictWriter<\/p>\n<\/p>\n
\u5728\u5904\u7406\u5b57\u5178\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528csv\u5e93\u4e2d\u7684DictWriter\u7c7b\u3002DictWriter\u7c7b\u5141\u8bb8\u5c06\u5b57\u5178\u6570\u636e\u4fdd\u5b58\u4e3acsv\u6587\u4ef6\uff0c\u5e76\u81ea\u52a8\u5904\u7406\u5217\u540d\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
data = [{'Name': 'John', 'Age': 28, 'City': 'New York'},<\/p>\n
        {'Name': 'Anna', 'Age': 22, 'City': 'Paris'},<\/p>\n
        {'Name': 'Peter', 'Age': 35, 'City': 'Berlin'},<\/p>\n
        {'Name': 'Linda', 'Age': 32, 'City': 'London'}]<\/p>\n
\u4fdd\u5b58\u4e3acsv\u6587\u4ef6<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    fieldnames = ['Name', 'Age', 'City']<\/p>\n
    writer = csv.DictWriter(file, fieldnames=fieldnames)<\/p>\n
    writer.writeheader()<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u5b57\u5178\u6570\u636e\u7684\u5217\u8868\u3002\u63a5\u7740\uff0c\u4f7f\u7528DictWriter<\/code>\u7c7b\u521b\u5efa\u4e00\u4e2acsv\u5199\u5165\u5668\u5bf9\u8c61\uff0c\u5e76\u901a\u8fc7writeheader<\/code>\u65b9\u6cd5\u5199\u5165\u5217\u540d\uff0c\u6700\u540e\u901a\u8fc7writerows<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165csv\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528openpyxl\u5e93<\/p>\n<\/p>\n
\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728Excel\u6587\u4ef6\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl\u5e93\u5c06\u5176\u8f6c\u6362\u4e3acsv\u6587\u4ef6\u3002openpyxl\u5e93\u662f\u4e00\u4e2a\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import openpyxl<\/p>\n
import csv<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = openpyxl.load_workbook('input.xlsx')<\/p>\n
\u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868<\/strong><\/h2>\n
ws = wb.active<\/p>\n
\u521b\u5efacsv\u5199\u5165\u5668\u5bf9\u8c61<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    # \u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u884c<\/p>\n
    for row in ws.iter_rows(values_only=True):<\/p>\n
        writer.writerow(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86openpyxl\u5e93\u548ccsv\u5e93\uff0c\u5e76\u4f7f\u7528load_workbook<\/code>\u65b9\u6cd5\u6253\u5f00Excel\u6587\u4ef6\u3002\u63a5\u7740\uff0c\u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868\uff0c\u5e76\u901a\u8fc7iter_rows<\/code>\u65b9\u6cd5\u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u884c\uff0c\u6700\u540e\u5c06\u6570\u636e\u5199\u5165csv\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528pandas\u8bfb\u53d6Excel\u5e76\u4fdd\u5b58\u4e3acsv<\/p>\n<\/p>\n
\u9664\u4e86\u76f4\u63a5\u4f7f\u7528openpyxl\u5e93\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u4fdd\u5b58\u4e3acsv\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('input.xlsx')<\/p>\n
\u4fdd\u5b58\u4e3acsv\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528read_excel<\/code>\u65b9\u6cd5\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3acsv\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528pyexcel\u5e93<\/p>\n<\/p>\n
pyexcel\u5e93\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684Excel\u5904\u7406\u5e93\uff0c\u652f\u6301\u591a\u79cdExcel\u6587\u4ef6\u683c\u5f0f\u7684\u8bfb\u5199\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
import pyexcel<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u4fdd\u5b58\u4e3acsv\u6587\u4ef6<\/strong><\/h2>\n
pyexcel.save_book_as(file_name='input.xlsx', dest_file_name='output.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528save_book_as<\/code>\u65b9\u6cd5\u76f4\u63a5\u5c06Excel\u6587\u4ef6\u8f6c\u6362\u4e3acsv\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6587\u4ef6\u4fdd\u5b58\u4e3acsv\u683c\u5f0f\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u5b58\u50a8\u683c\u5f0f\u548c\u5177\u4f53\u7684\u9700\u6c42\u3002pandas\u5e93\u662f\u6700\u5e38\u7528\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u548c\u7b80\u6d01\u7684API\u3002<\/strong> csv\u5e93\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u6587\u672c\u6570\u636e\uff0c\u800cnumpy\u5e93\u9002\u5408\u5904\u7406\u6570\u503c\u578b\u6570\u636e\u3002\u5bf9\u4e8eExcel\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl\u5e93\u3001pandas\u5e93\u6216pyexcel\u5e93\u6765\u8bfb\u53d6\u548c\u4fdd\u5b58\u6570\u636e\u3002\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u90fd\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u7075\u6d3b\u5e94\u7528\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u4e0d\u540c\u683c\u5f0f\u7684\u6587\u4ef6\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u8f6c\u6362\u6587\u4ef6\u683c\u5f0f\u4e3aCSV\u3002\u4f8b\u5982\uff0c\u4f7f\u7528pandas<\/code>\u5e93\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u6216JSON\u6587\u4ef6\u5e76\u5c06\u5176\u5bfc\u51fa\u4e3aCSV\u3002\u60a8\u53ea\u9700\u52a0\u8f7d\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\u6765\u4fdd\u5b58\u4e3aCSV\u683c\u5f0f\u3002\u786e\u4fdd\u5728\u8f6c\u6362\u8fc7\u7a0b\u4e2d\u5904\u7406\u597d\u6570\u636e\u7684\u7f3a\u5931\u503c\u548c\u683c\u5f0f\u95ee\u9898\uff0c\u4ee5\u786e\u4fdd\u751f\u6210\u7684CSV\u6587\u4ef6\u7684\u8d28\u91cf\u3002<\/p>\n
\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong>
\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u7684read_csv()<\/code>\u51fd\u6570\uff0c\u5e76\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7na_values<\/code>\u53c2\u6570\u6307\u5b9a\u54ea\u4e9b\u503c\u5e94\u89c6\u4e3a\u7f3a\u5931\uff0c\u6216\u8005\u4f7f\u7528fillna()<\/code>\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\u3002\u5408\u7406\u5904\u7406\u7f3a\u5931\u503c\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5206\u6790\u7684\u51c6\u786e\u6027\u3002<\/p>\n
\u4f7f\u7528Python\u4fdd\u5b58CSV\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u786e\u4fdd\u6570\u636e\u7684\u7f16\u7801\u683c\u5f0f\u6b63\u786e\uff1f<\/strong>
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