{"id":1103195,"date":"2025-01-08T16:07:53","date_gmt":"2025-01-08T08:07:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1103195.html"},"modified":"2025-01-08T16:07:56","modified_gmt":"2025-01-08T08:07:56","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e7%bb%99csv%e9%87%8c%e7%9a%84%e6%95%b0%e6%8d%ae%e6%8e%92%e5%ba%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1103195.html","title":{"rendered":"\u5982\u4f55\u7528python\u7ed9csv\u91cc\u7684\u6570\u636e\u6392\u5e8f"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u7ed9csv\u91cc\u7684\u6570\u636e\u6392\u5e8f\"<\/p>\n

\u7528Python\u7ed9CSV\u91cc\u7684\u6570\u636e\u6392\u5e8f\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5185\u7f6e\u7684CSV\u6a21\u5757\u3001\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93<\/strong>\u3002\u5176\u4e2d\uff0c\u6700\u63a8\u8350\u7684\u65b9\u6cd5\u662f\u4f7f\u7528Pandas\u5e93\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5e76\u4e14\u975e\u5e38\u6613\u4e8e\u4f7f\u7528\u3002<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u5b83\u80fd\u591f\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6\u3001\u5904\u7406\u548c\u5199\u5165CSV\u6587\u4ef6\u3002\u4f60\u53ea\u9700\u8981\u51e0\u884c\u4ee3\u7801\u5c31\u53ef\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u6392\u5e8f\u64cd\u4f5c\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u51e0\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5185\u7f6eCSV\u6a21\u5757\u6392\u5e8f<\/p>\n<\/p>\n

Python\u7684\u5185\u7f6eCSV\u6a21\u5757\u63d0\u4f9b\u4e86\u57fa\u672c\u7684CSV\u8bfb\u5199\u529f\u80fd\uff0c\u901a\u8fc7\u5b83\u53ef\u4ee5\u5b9e\u73b0\u5bf9CSV\u6587\u4ef6\u7684\u6392\u5e8f\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u4f7f\u7528CSV\u6a21\u5757\u7684reader<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5c06CSV\u6587\u4ef6\u4e2d\u7684\u5185\u5bb9\u8bfb\u53d6\u5230\u4e00\u4e2a\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n

import csv<\/p>\n
with open('data.csv', 'r') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    data = list(reader)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u9009\u62e9\u6392\u5e8f\u5b57\u6bb5<\/h3>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u8981\u6309\u7167CSV\u6587\u4ef6\u4e2d\u7684\u67d0\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\uff0c\u6bd4\u5982\u7b2c\u4e8c\u5217\u3002\u6211\u4eec\u9700\u8981\u63d0\u53d6\u51fa\u8fd9\u5217\u7684\u6570\u636e\uff0c\u5e76\u6839\u636e\u5b83\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n<\/p>\n
header = data[0]<\/p>\n
rows = data[1:]<\/p>\n
sorted_rows = sorted(rows, key=lambda x: x[1])<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5c06\u6392\u5e8f\u540e\u7684\u6570\u636e\u5199\u5165\u65b0\u7684CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
with open('sorted_data.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(header)<\/p>\n
    writer.writerows(sorted_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Pandas\u5e93\u6392\u5e8f<\/p>\n<\/p>\n
Pandas\u5e93\u63d0\u4f9b\u4e86\u66f4\u9ad8\u6548\u3001\u66f4\u7b80\u6d01\u7684CSV\u6587\u4ef6\u5904\u7406\u65b9\u6cd5\u3002\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\uff0c\u8fd8\u80fd\u591f\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u6392\u5e8f\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Pandas\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u8fd8\u6ca1\u6709\u5b89\u88c5Pandas\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528Pandas\u5e93\u7684read_csv<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
df = pd.read_csv('data.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u6392\u5e8f\u6570\u636e<\/h3>\n<\/p>\n
\u4f7f\u7528Pandas\u5e93\u7684sort_values<\/code>\u51fd\u6570\u5bf9\u6570\u636e\u8fdb\u884c\u6392\u5e8f\u3002\u5047\u8bbe\u6211\u4eec\u8981\u6309\u7167\u67d0\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\uff0c\u6bd4\u5982\u201ccolumn_name\u201d\u3002<\/p>\n<\/p>\n
sorted_df = df.sort_values(by='column_name')<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5c06\u6392\u5e8f\u540e\u7684\u6570\u636e\u5199\u5165\u65b0\u7684CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
sorted_df.to_csv('sorted_data.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Numpy\u5e93\u6392\u5e8f<\/p>\n<\/p>\n
Numpy\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u5b83\u4e5f\u63d0\u4f9b\u4e86\u57fa\u672c\u7684CSV\u6587\u4ef6\u5904\u7406\u529f\u80fd\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Numpy\u5e93<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u8fd8\u6ca1\u6709\u5b89\u88c5Numpy\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528Numpy\u5e93\u7684genfromtxt<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.genfromtxt('data.csv', delimiter=',', dtype=None, encoding=None)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u6392\u5e8f\u6570\u636e<\/h3>\n<\/p>\n
\u4f7f\u7528Numpy\u5e93\u7684argsort<\/code>\u51fd\u6570\u5bf9\u6570\u636e\u8fdb\u884c\u6392\u5e8f\u3002\u5047\u8bbe\u6211\u4eec\u8981\u6309\u7167\u67d0\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\uff0c\u6bd4\u5982\u7b2c\u4e8c\u5217\u3002<\/p>\n<\/p>\n
sorted_indices = np.argsort(data[1:, 1])<\/p>\n
sorted_data = data[sorted_indices]<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5c06\u6392\u5e8f\u540e\u7684\u6570\u636e\u5199\u5165\u65b0\u7684CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
np.savetxt('sorted_data.csv', sorted_data, delimiter=',', fmt='%s')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u5f0f\u6765\u5bf9CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8fdb\u884c\u6392\u5e8f\u3002\u4f7f\u7528\u5185\u7f6e\u7684CSV\u6a21\u5757\u53ef\u4ee5\u5b9e\u73b0\u57fa\u672c\u7684\u6392\u5e8f\u529f\u80fd\uff0c\u4f46\u4ee3\u7801\u8f83\u4e3a\u7e41\u7410\uff1b\u4f7f\u7528Pandas\u5e93\u5219\u66f4\u52a0\u9ad8\u6548\u7b80\u6d01\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u4efb\u52a1\uff1b\u4f7f\u7528Numpy\u5e93\u53ef\u4ee5\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u548c\u6392\u5e8f<\/strong>\u3002\u6839\u636e\u4e0d\u540c\u7684\u9700\u6c42\uff0c\u6211\u4eec\u53ef\u4ee5\u9009\u62e9\u6700\u9002\u5408\u81ea\u5df1\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u63a8\u8350\u4f7f\u7528Pandas\u5e93\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u529f\u80fd\u5f3a\u5927\uff0c\u800c\u4e14\u975e\u5e38\u6613\u4e8e\u4f7f\u7528\uff0c\u80fd\u591f\u5927\u5927\u63d0\u9ad8\u6211\u4eec\u7684\u5de5\u4f5c\u6548\u7387\u3002\u5e0c\u671b\u672c\u6587\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1Python\u5bf9CSV\u6587\u4ef6\u8fdb\u884c\u6392\u5e8f\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u8fdb\u884c\u6392\u5e8f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u8fdb\u884c\u6392\u5e8f\u3002\u9996\u5148\uff0c\u4f7f\u7528pd.read_csv()<\/code>\u65b9\u6cd5\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u63a5\u7740\uff0c\u5229\u7528sort_values()<\/code>\u65b9\u6cd5\u5bf9\u7279\u5b9a\u5217\u7684\u6570\u636e\u8fdb\u884c\u6392\u5e8f\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
import pandas as pd\n\n# \u8bfb\u53d6CSV\u6587\u4ef6\ndata = pd.read_csv('file.csv')\n\n# \u6839\u636e\u67d0\u4e00\u5217\u8fdb\u884c\u6392\u5e8f\nsorted_data = data.sort_values(by='column_name')\n\n# \u663e\u793a\u6392\u5e8f\u540e\u7684\u6570\u636e\nprint(sorted_data)\n<\/code><\/pre>\n
\u53ef\u4ee5\u7528\u54ea\u4e9b\u65b9\u6cd5\u5bf9CSV\u6587\u4ef6\u8fdb\u884c\u591a\u5217\u6392\u5e8f\uff1f<\/strong>
\u5728\u4f7f\u7528Pandas\u8fdb\u884c\u591a\u5217\u6392\u5e8f\u65f6\uff0c\u53ef\u4ee5\u5728sort_values()<\/code>\u65b9\u6cd5\u4e2d\u4f20\u9012\u4e00\u4e2a\u5217\u540d\u7684\u5217\u8868\u3002\u8fd9\u6837\u5c31\u53ef\u4ee5\u6309\u7167\u4f18\u5148\u987a\u5e8f\u5bf9\u591a\u5217\u8fdb\u884c\u6392\u5e8f\u3002\u4f8b\u5982\uff0csort_values(by=['column1', 'column2'])<\/code>\u5c06\u5148\u6839\u636ecolumn1<\/code>\u6392\u5e8f\uff0c\u5982\u679ccolumn1<\/code>\u4e2d\u6709\u76f8\u540c\u503c\uff0c\u5219\u518d\u6839\u636ecolumn2<\/code>\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n
\u5982\u4f55\u4fdd\u5b58\u6392\u5e8f\u540e\u7684\u6570\u636e\u5230\u65b0\u7684CSV\u6587\u4ef6\uff1f<\/strong>
\u5b8c\u6210\u6570\u636e\u6392\u5e8f\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\u5c06\u6392\u5e8f\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684CSV\u6587\u4ef6\u4e2d\u3002\u4f7f\u7528index=False<\/code>\u53c2\u6570\u53ef\u4ee5\u907f\u514d\u5c06\u884c\u7d22\u5f15\u5199\u5165\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n
sorted_data.to_csv('sorted_file.csv', index=False)\n<\/code><\/pre>\n
\u8fd9\u6837\uff0c\u60a8\u5c31\u53ef\u4ee5\u5c06\u6392\u5e8f\u540e\u7684\u6570\u636e\u4fdd\u5b58\u4e3a\u65b0\u7684CSV\u6587\u4ef6\uff0c\u65b9\u4fbf\u540e\u7eed\u4f7f\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u7528Python\u7ed9CSV\u91cc\u7684\u6570\u636e\u6392\u5e8f\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5185\u7f6e\u7684CSV\u6a21\u5757\u3001\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528Numpy\u5e93\u3002\u5176\u4e2d […]","protected":false},"author":3,"featured_media":1103202,"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\/1103195"}],"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=1103195"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103195\/revisions"}],"predecessor-version":[{"id":1103203,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1103195\/revisions\/1103203"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1103202"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1103195"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1103195"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1103195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}