{"id":1078808,"date":"2025-01-08T12:15:03","date_gmt":"2025-01-08T04:15:03","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1078808.html"},"modified":"2025-01-08T12:15:07","modified_gmt":"2025-01-08T04:15:07","slug":"python%e7%9a%84%e5%88%97%e8%a1%a8%e5%a6%82%e4%bd%95%e4%bf%9d%e5%ad%98%e4%b8%bacsv-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1078808.html","title":{"rendered":"python\u7684\u5217\u8868\u5982\u4f55\u4fdd\u5b58\u4e3acsv"},"content":{"rendered":"

\"python\u7684\u5217\u8868\u5982\u4f55\u4fdd\u5b58\u4e3acsv\"<\/p>\n

Python\u7684\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u7684\u65b9\u6cd5\u6709\u5f88\u591a<\/strong>\uff0c\u5e38\u89c1\u7684\u6709\u4f7f\u7528csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u3001numpy<\/code>\u5e93\u7b49\u65b9\u5f0f\u3002\u4f7f\u7528csv.writer\u3001\u4f7f\u7528pandas\u5e93\u7684DataFrame.to_csv\u65b9\u6cd5\u3001\u4f7f\u7528numpy.savetxt\u65b9\u6cd5<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e09\u79cd\u65b9\u6cd5\u5c06Python\u7684\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528csv.writer\u65b9\u6cd5<\/h3>\n<\/p>\n

1.1 \u5bfc\u5165csv\u6a21\u5757\u5e76\u521b\u5efa\u5217\u8868<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165Python\u7684\u5185\u7f6ecsv\u6a21\u5757\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u5217\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\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
1.2 \u4f7f\u7528csv.writer\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4f7f\u7528csv.writer\u65b9\u6cd5\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/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
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528open<\/code>\u51fd\u6570\u4ee5\u5199\u6a21\u5f0f\uff08'w'\uff09\u548c\u6362\u884c\u7b26\u53c2\u6570\uff08newline=''<\/code>\uff09\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\u3002\u63a5\u7740\uff0c\u6211\u4eec\u521b\u5efa\u4e00\u4e2acsv.writer\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528writerows<\/code>\u65b9\u6cd5\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528pandas\u5e93\u7684DataFrame.to_csv\u65b9\u6cd5<\/h3>\n<\/p>\n
2.1 \u5bfc\u5165pandas\u5e93\u5e76\u521b\u5efaDataFrame<\/h4>\n<\/p>\n
pandas<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u5904\u7406\u6570\u636e\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165pandas\u5e93\uff0c\u5e76\u521b\u5efa\u4e00\u4e2aDataFrame\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\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
df = pd.DataFrame(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2 \u4f7f\u7528DataFrame.to_csv\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4f7f\u7528DataFrame.to_csv\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7\u8bbe\u7f6e\u53c2\u6570index=False<\/code>\u6765\u907f\u514d\u5728CSV\u6587\u4ef6\u4e2d\u5199\u5165\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528numpy.savetxt\u65b9\u6cd5<\/h3>\n<\/p>\n
3.1 \u5bfc\u5165numpy\u5e93\u5e76\u521b\u5efa\u6570\u7ec4<\/h4>\n<\/p>\n
numpy<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u80fd\u591f\u9ad8\u6548\u5730\u5904\u7406\u5927\u89c4\u6a21\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528numpy<\/code>\u5c06\u4e8c\u7ef4\u6570\u7ec4\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5bfc\u5165numpy<\/code>\u5e93\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u4e8c\u7ef4\u6570\u7ec4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.array([<\/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
3.2 \u4f7f\u7528numpy.savetxt\u65b9\u6cd5\u5c06\u6570\u7ec4\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4f7f\u7528numpy.savetxt<\/code>\u65b9\u6cd5\u5c06\u6570\u7ec4\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
np.savetxt('output.csv', data, delimiter=',', fmt='%s')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528savetxt<\/code>\u65b9\u6cd5\u5c06\u6570\u7ec4\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7\u8bbe\u7f6edelimiter<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u5206\u9694\u7b26\uff08\u9ed8\u8ba4\u4e3a\u9017\u53f7\uff09\uff0c\u901a\u8fc7\u8bbe\u7f6efmt='%s'<\/code>\u6765\u6307\u5b9a\u4fdd\u5b58\u4e3a\u5b57\u7b26\u4e32\u683c\u5f0f\u3002<\/p>\n<\/p>\n
\u56db\u3001\u5176\u4ed6\u65b9\u6cd5<\/h3>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u4e09\u79cd\u65b9\u6cd5\uff0c\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5c06Python\u7684\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
4.1 \u4f7f\u7528open\u548cwrite\u65b9\u6cd5\u624b\u52a8\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528open<\/code>\u548cwrite<\/code>\u65b9\u6cd5\u624b\u52a8\u5c06\u5217\u8868\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\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
with open('output.csv', mode='w', newline='') as file:<\/p>\n
    for row in data:<\/p>\n
        file.write(','.join(map(str, row)) + '\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528open<\/code>\u51fd\u6570\u4ee5\u5199\u6a21\u5f0f\uff08'w'\uff09\u548c\u6362\u884c\u7b26\u53c2\u6570\uff08newline=''<\/code>\uff09\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528write<\/code>\u65b9\u6cd5\u5c06\u6bcf\u4e00\u884c\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
4.2 \u4f7f\u7528DictWriter\u65b9\u6cd5\u5c06\u5b57\u5178\u5217\u8868\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u5982\u679c\u6211\u4eec\u7684\u6570\u636e\u662f\u5b57\u5178\u5217\u8868\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528csv.DictWriter<\/code>\u65b9\u6cd5\u5c06\u5b57\u5178\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
data = [<\/p>\n
    {'Name': 'Alice', 'Age': 30, 'City': 'New York'},<\/p>\n
    {'Name': 'Bob', 'Age': 25, 'City': 'Los Angeles'},<\/p>\n
    {'Name': 'Charlie', 'Age': 35, 'City': 'Chicago'}<\/p>\n
]<\/p>\n
with open('output.csv', mode='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\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528DictWriter<\/code>\u65b9\u6cd5\uff0c\u5e76\u901a\u8fc7\u8bbe\u7f6efieldnames<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u5217\u540d\uff0c\u7136\u540e\u4f7f\u7528writeheader<\/code>\u65b9\u6cd5\u5199\u5165\u5217\u540d\uff0c\u6700\u540e\u4f7f\u7528writerows<\/code>\u65b9\u6cd5\u5c06\u5b57\u5178\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0c\u4f7f\u7528csv.writer\u3001\u4f7f\u7528pandas\u5e93\u7684DataFrame.to_csv\u65b9\u6cd5\u3001\u4f7f\u7528numpy.savetxt\u65b9\u6cd5<\/strong>\u662f\u5c06Python\u7684\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u7684\u4e09\u79cd\u5e38\u7528\u65b9\u6cd5\u3002\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u4e2a\u4eba\u504f\u597d\u3002csv\u6a21\u5757\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u5217\u8868\u6570\u636e\uff0cpandas\u5e93\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u7684\u6570\u636e\uff0cnumpy\u5e93\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u7ec4\u6570\u636e<\/strong>\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528open\u548cwrite\u65b9\u6cd5\u624b\u52a8\u5199\u5165CSV\u6587\u4ef6\uff0c\u6216\u8005\u4f7f\u7528DictWriter\u65b9\u6cd5\u5c06\u5b57\u5178\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1\u5c06Python\u7684\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5c06Python\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff1f<\/strong>
\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6ecsv<\/code>\u6a21\u5757\u6765\u5c06\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\u5e76\u521b\u5efa\u4e00\u4e2aCSV\u5199\u5165\u5668\u3002\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528writerow<\/code>\u6216writerows<\/code>\u65b9\u6cd5\u5c06\u5217\u8868\u4e2d\u7684\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n
import csv\n\ndata = [['Name', 'Age'], ['Alice', 30], ['Bob', 25]]\n\nwith open('output.csv', mode='w', newline='') as file:\n    writer = csv.writer(file)\n    writer.writerows(data)\n<\/code><\/pre>\n
\u8fd9\u6837\u4f1a\u5c06\u5217\u8868\u4e2d\u7684\u6570\u636e\u5199\u5165\u540d\u4e3aoutput.csv<\/code>\u7684\u6587\u4ef6\u4e2d\u3002<\/p>\n
\u4f7f\u7528Pandas\u5e93\u5c06\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u7684\u4f18\u52bf\u662f\u4ec0\u4e48\uff1f<\/strong>
Pandas\u5e93\u63d0\u4f9b\u4e86\u66f4\u52a0\u7075\u6d3b\u548c\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002\u5229\u7528DataFrame<\/code>\u5bf9\u8c61\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5217\u8868\u8f6c\u6362\u4e3aCSV\u683c\u5f0f\u3002\u4f7f\u7528Pandas\u7684to_csv<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5feb\u901f\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u652f\u6301\u8bb8\u591a\u53c2\u6570\uff0c\u5982\u7d22\u5f15\u3001\u5206\u9694\u7b26\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n
import pandas as pd\n\ndata = [['Alice', 30], ['Bob', 25]]\ndf = pd.DataFrame(data, columns=['Name', 'Age'])\ndf.to_csv('output.csv', index=False)\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\uff0c\u7279\u522b\u9002\u5408\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3002<\/p>\n
\u5728\u4fdd\u5b58\u5217\u8868\u4e3aCSV\u65f6\u5982\u4f55\u5904\u7406\u7279\u6b8a\u5b57\u7b26\uff1f<\/strong>
\u5728\u4fdd\u5b58\u5305\u542b\u7279\u6b8a\u5b57\u7b26\uff08\u4f8b\u5982\u9017\u53f7\u3001\u5f15\u53f7\u7b49\uff09\u7684\u5217\u8868\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6eCSV\u5199\u5165\u5668\u7684\u53c2\u6570\u6765\u5904\u7406\u8fd9\u4e9b\u5b57\u7b26\u3002csv<\/code>\u6a21\u5757\u4f1a\u81ea\u52a8\u5904\u7406\u5f15\u53f7\u548c\u5206\u9694\u7b26\uff0c\u4f46\u60a8\u4e5f\u53ef\u4ee5\u6307\u5b9aquotechar<\/code>\u548cquoting<\/code>\u53c2\u6570\u6765\u8fdb\u884c\u66f4\u7cbe\u7ec6\u7684\u63a7\u5236\u3002\u4f8b\u5982\uff1a<\/p>\n
import csv\n\ndata = [['Name', 'Occupation'], ['Alice, the Engineer', 'Engineer'], ['Bob "the Builder"', 'Builder']]\nwith open('output.csv', mode='w', newline='') as file:\n    writer = csv.writer(file, quoting=csv.QUOTE_ALL)\n    writer.writerows(data)\n<\/code><\/pre>\n
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