{"id":1027992,"date":"2024-12-31T10:55:42","date_gmt":"2024-12-31T02:55:42","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1027992.html"},"modified":"2024-12-31T10:55:45","modified_gmt":"2024-12-31T02:55:45","slug":"python3%e5%a6%82%e4%bd%95%e6%8a%8a%e5%88%97%e8%a1%a8%e5%86%99%e5%85%a5csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1027992.html","title":{"rendered":"python3\u5982\u4f55\u628a\u5217\u8868\u5199\u5165csv"},"content":{"rendered":"

\"python3\u5982\u4f55\u628a\u5217\u8868\u5199\u5165csv\"<\/p>\n

\u5728Python\u4e2d\uff0c\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u662f\u4e00\u9879\u5e38\u89c1\u7684\u4efb\u52a1\uff0c\u5c24\u5176\u662f\u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u8fc7\u7a0b\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001\u4ee5\u53ca\u624b\u52a8\u5199\u5165\u7b49\u65b9\u6cd5<\/strong>\uff0c\u4ee5\u4e0b\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u65b9\u6cd5\u4e00\u3001\u4f7f\u7528csv\u6a21\u5757<\/h3>\n<\/p>\n

Python\u7684\u5185\u7f6ecsv\u6a21\u5757\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u6765\u5904\u7406CSV\u6587\u4ef6\u3002\u901a\u8fc7\u4f7f\u7528csv.writer\u5bf9\u8c61\uff0c\u4f60\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

1\u3001\u5bfc\u5165\u6a21\u5757\u5e76\u51c6\u5907\u6570\u636e<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165csv\u6a21\u5757\uff0c\u5e76\u51c6\u5907\u597d\u8981\u5199\u5165\u7684\u6570\u636e\u3002\u5047\u8bbe\u6211\u4eec\u6709\u5982\u4e0b\u6570\u636e\uff1a<\/p>\n<\/p>\n

import csv<\/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
<\/code><\/pre>\n<\/p>\n
2\u3001\u6253\u5f00\u6587\u4ef6\u5e76\u521b\u5efacsv.writer\u5bf9\u8c61<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\u5e76\u521b\u5efacsv.writer\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n
with open('output.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u91cc\uff0cmode='w'<\/code>\u6307\u5b9a\u4ee5\u5199\u6a21\u5f0f\u6253\u5f00\u6587\u4ef6\uff0cnewline=''<\/code>\u53c2\u6570\u5219\u786e\u4fdd\u5199\u5165\u65f6\u4e0d\u4f1a\u591a\u51fa\u7a7a\u884c\u3002<\/p>\n<\/p>\n
3\u3001\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528writer\u5bf9\u8c61\u7684writerow\u6216writerows\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h4>\n<\/p>\n
import csv<\/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
with open('output.csv', mode='w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u65b9\u6cd5\u4e8c\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5de5\u5177\uff0c\u5b83\u63d0\u4f9b\u4e86\u975e\u5e38\u4fbf\u6377\u7684\u65b9\u6cd5\u6765\u5904\u7406CSV\u6587\u4ef6\u3002pandas\u5e93\u4e2d\u7684DataFrame\u5bf9\u8c61\u53ef\u4ee5\u76f4\u63a5\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u5bfc\u5165\u6a21\u5757\u5e76\u51c6\u5907\u6570\u636e<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165pandas\u5e93\uff0c\u5e76\u51c6\u5907\u6570\u636e\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\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
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efaDataFrame<\/h4>\n<\/p>\n
\u5c06\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\uff1a<\/p>\n<\/p>\n
df = pd.DataFrame(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528DataFrame\u7684to_csv\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h4>\n<\/p>\n
import pandas as pd<\/p>\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
df = pd.DataFrame(data)<\/p>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u65b9\u6cd5\u4e09\u3001\u624b\u52a8\u5199\u5165<\/h3>\n<\/p>\n
\u5982\u679c\u4e0d\u60f3\u4f9d\u8d56\u5916\u90e8\u6a21\u5757\uff0c\u53ef\u4ee5\u624b\u52a8\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u51c6\u5907\u6570\u636e<\/h4>\n<\/p>\n
\u540c\u6837\uff0c\u51c6\u5907\u6570\u636e\uff1a<\/p>\n<\/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
<\/code><\/pre>\n<\/p>\n
2\u3001\u6253\u5f00\u6587\u4ef6<\/h4>\n<\/p>\n
\u6253\u5f00\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
with open('output.csv', mode='w') as file:<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5199\u5165\u6570\u636e<\/h4>\n<\/p>\n
\u624b\u52a8\u5c06\u6570\u636e\u9010\u884c\u5199\u5165\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    for row in data:<\/p>\n
        file.write(','.join(map(str, row)) + '\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h4>\n<\/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
with open('output.csv', mode='w') as file:<\/p>\n
    for row in data:<\/p>\n
        file.write(','.join(map(str, row)) + '\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7ed3\u8bba<\/h3>\n<\/p>\n
\u5728Python3\u4e2d\uff0c\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u3001\u4ee5\u53ca\u624b\u52a8\u5199\u5165<\/strong>\u90fd\u662f\u5e38\u7528\u7684\u65b9\u6cd5\u3002csv\u6a21\u5757\u662f\u5185\u7f6e\u6a21\u5757\uff0c\u7b80\u5355\u4e14\u9ad8\u6548<\/strong>\uff1bpandas\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u6570\u636e<\/strong>\uff1b\u624b\u52a8\u5199\u5165\u9002\u5408\u7b80\u5355\u9700\u6c42\uff0c\u4e0d\u9700\u8981\u989d\u5916\u4f9d\u8d56<\/strong>\u3002\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\u548c\u6570\u636e\u590d\u6742\u5ea6\uff0c\u53ef\u4ee5\u9009\u62e9\u6700\u5408\u9002\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python3\u4e2d\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
\u5728Python3\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u8f7b\u677e\u5730\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165csv<\/code>\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528open()<\/code>\u51fd\u6570\u521b\u5efa\u6216\u6253\u5f00\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528csv.writer()<\/code>\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5668\u5bf9\u8c61\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u4f7f\u7528writerow()<\/code>\u6216writerows()<\/code>\u65b9\u6cd5\u5c06\u5217\u8868\u5199\u5165\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n
import csv\n\ndata = [['Name', 'Age', 'City'], \n        ['Alice', 30, 'New York'], \n        ['Bob', 25, 'Los Angeles']]\n\nwith open('output.csv', mode='w', newline='') as file:\n    writer = csv.writer(file)\n    writer.writerows(data)\n<\/code><\/pre>\n
\u5982\u4f55\u5904\u7406\u5305\u542b\u7279\u6b8a\u5b57\u7b26\u7684\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
\u5728\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u5217\u8868\u4e2d\u7684\u6570\u636e\u53ef\u80fd\u5305\u542b\u9017\u53f7\u3001\u5f15\u53f7\u7b49\u7279\u6b8a\u5b57\u7b26\u3002\u4e3a\u4e86\u907f\u514d\u683c\u5f0f\u9519\u8bef\uff0c\u5efa\u8bae\u4f7f\u7528csv.writer()<\/code>\u7684quotechar<\/code>\u548cquoting<\/code>\u53c2\u6570\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06quoting<\/code>\u8bbe\u7f6e\u4e3acsv.QUOTE_ALL<\/code>\uff0c\u8fd9\u6837\u6240\u6709\u5b57\u6bb5\u90fd\u4f1a\u88ab\u5f15\u53f7\u5305\u56f4\uff0c\u786e\u4fdd\u683c\u5f0f\u7684\u6b63\u786e\u6027\u3002<\/p>\n
\u4f7f\u7528Pandas\u5e93\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u7684\u4f18\u52bf\u662f\u4ec0\u4e48\uff1f<\/strong>
\u4f7f\u7528Pandas\u5e93\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\u6765\u5904\u7406\u6570\u636e\u3002\u901a\u8fc7DataFrame<\/code>\uff0c\u53ef\u4ee5\u8f7b\u677e\u5c06\u5217\u8868\u8f6c\u6362\u4e3a\u8868\u683c\u5f62\u5f0f\uff0c\u5e76\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\u5c06\u5176\u5199\u5165CSV\u6587\u4ef6\u3002Pandas\u8fd8\u652f\u6301\u6570\u636e\u6e05\u6d17\u3001\u8fc7\u6ee4\u548c\u5206\u6790\u7b49\u64cd\u4f5c\uff0c\u662f\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u7684\u7406\u60f3\u9009\u62e9\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Pandas\u7684\u793a\u4f8b\uff1a<\/p>\n
import pandas as pd\n\ndata = [['Name', 'Age', 'City'], \n        ['Alice', 30, 'New York'], \n        ['Bob', 25, 'Los Angeles']]\n\ndf = pd.DataFrame(data[1:], columns=data[0])\ndf.to_csv('output.csv', index=False)\n<\/code><\/pre>\n
\u5982\u4f55\u5728\u5199\u5165CSV\u65f6\u81ea\u5b9a\u4e49\u5206\u9694\u7b26\uff1f<\/strong>
\u5728\u4f7f\u7528csv.writer()<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012delimiter<\/code>\u53c2\u6570\u6765\u81ea\u5b9a\u4e49\u5206\u9694\u7b26\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u5206\u9694\u7b26\u4e3a\u9017\u53f7\uff08,<\/code>\uff09\uff0c\u4f46\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8bbe\u7f6e\u4e3a\u5176\u4ed6\u5b57\u7b26\uff0c\u4f8b\u5982\u5236\u8868\u7b26\uff08\\t<\/code>\uff09\u6216\u5206\u53f7\uff08;<\/code>\uff09\u3002\u4ee5\u4e0b\u662f\u793a\u4f8b\uff1a<\/p>\n
with open('output.csv', mode='w', newline='') as file:\n    writer = csv.writer(file, delimiter=';')\n    writer.writerows(data)\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u662f\u4e00\u9879\u5e38\u89c1\u7684\u4efb\u52a1\uff0c\u5c24\u5176\u662f\u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u8fc7\u7a0b\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u3001p […]","protected":false},"author":3,"featured_media":1028006,"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\/1027992"}],"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=1027992"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1027992\/revisions"}],"predecessor-version":[{"id":1028011,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1027992\/revisions\/1028011"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1028006"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1027992"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1027992"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1027992"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}