{"id":1179666,"date":"2025-01-15T18:26:49","date_gmt":"2025-01-15T10:26:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1179666.html"},"modified":"2025-01-15T18:26:51","modified_gmt":"2025-01-15T10:26:51","slug":"%e5%9c%a8python%e4%b8%ad%e5%a6%82%e4%bd%95%e6%89%93%e5%bc%80csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1179666.html","title":{"rendered":"\u5728python\u4e2d\u5982\u4f55\u6253\u5f00csv"},"content":{"rendered":"

\"\u5728python\u4e2d\u5982\u4f55\u6253\u5f00csv\"<\/p>\n

\u5728Python\u4e2d\u6253\u5f00CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u3001numpy<\/code>\u5e93<\/strong>\u7b49\u65b9\u5f0f\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528csv<\/code>\u6a21\u5757\u6765\u6253\u5f00CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

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

Python\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u662f\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\u7684\u6807\u51c6\u5e93\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n

\u4f7f\u7528csv<\/code>\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

import csv<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', newline='') as csvfile:<\/p>\n
    # \u521b\u5efa\u4e00\u4e2acsv.reader\u5bf9\u8c61<\/p>\n
    csvreader = csv.reader(csvfile)<\/p>\n
    # \u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6bcf\u4e00\u884c<\/p>\n
    for row in csvreader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528open<\/code>\u51fd\u6570\u6253\u5f00\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528with<\/code>\u8bed\u53e5\u786e\u4fdd\u6587\u4ef6\u5728\u4f7f\u7528\u5b8c\u6bd5\u540e\u81ea\u52a8\u5173\u95ed\u3002\u7136\u540e\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2acsv.reader<\/code>\u5bf9\u8c61\u6765\u8bfb\u53d6\u6587\u4ef6\u3002\u63a5\u7740\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8fed\u4ee3csvreader<\/code>\u5bf9\u8c61\u6765\u9010\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528csv<\/code>\u6a21\u5757\u5199\u5165CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', mode='w', newline='') as csvfile:<\/p>\n
    # \u521b\u5efa\u4e00\u4e2acsv.writer\u5bf9\u8c61<\/p>\n
    csvwriter = csv.writer(csvfile)<\/p>\n
    # \u5199\u5165\u8868\u5934<\/p>\n
    csvwriter.writerow(['name', 'age', 'city'])<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\n
    csvwriter.writerow(['Alice', 30, 'New York'])<\/p>\n
    csvwriter.writerow(['Bob', 25, 'Los Angeles'])<\/p>\n
    csvwriter.writerow(['Charlie', 35, 'Chicago'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528open<\/code>\u51fd\u6570\u6253\u5f00\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528mode='w'<\/code>\u8868\u793a\u4ee5\u5199\u5165\u6a21\u5f0f\u6253\u5f00\u6587\u4ef6\u3002\u7136\u540e\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2acsv.writer<\/code>\u5bf9\u8c61\u6765\u5199\u5165\u6587\u4ef6\u3002\u63a5\u7740\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8c03\u7528writerow<\/code>\u65b9\u6cd5\u6765\u5199\u5165\u8868\u5934\u548c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas<\/code>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u51fd\u6570\u6765\u5904\u7406CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528pandas<\/code>\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('example.csv')<\/p>\n
\u663e\u793a\u6570\u636e\u6846<\/strong><\/h2>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas<\/code>\u7684read_csv<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame<\/code>\u5bf9\u8c61\u4e2d\u3002\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528DataFrame<\/code>\u5bf9\u8c61\u7684\u5404\u79cd\u65b9\u6cd5\u6765\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528pandas<\/code>\u5199\u5165CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e\u6846<\/strong><\/h2>\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
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('example.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2aDataFrame<\/code>\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06\u5176\u5199\u5165CSV\u6587\u4ef6\u3002index=False<\/code>\u53c2\u6570\u8868\u793a\u4e0d\u5199\u5165\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528numpy\u5e93<\/h3>\n<\/p>\n
numpy<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528numpy<\/code>\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = np.genfromtxt('example.csv', delimiter=',', names=True, dtype=None, encoding=None)<\/p>\n
\u663e\u793a\u6570\u636e<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy<\/code>\u7684genfromtxt<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2andarray<\/code>\u5bf9\u8c61\u4e2d\u3002delimiter=','<\/code>\u53c2\u6570\u8868\u793a\u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\uff0cnames=True<\/code>\u53c2\u6570\u8868\u793a\u7b2c\u4e00\u884c\u662f\u5217\u540d\uff0cdtype=None<\/code>\u8868\u793a\u81ea\u52a8\u63a8\u65ad\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528numpy<\/code>\u5199\u5165CSV\u6587\u4ef6\u7684\u57fa\u672c\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
data = np.array([<\/p>\n
    ('Alice', 30, 'New York'),<\/p>\n
    ('Bob', 25, 'Los Angeles'),<\/p>\n
    ('Charlie', 35, 'Chicago')<\/p>\n
], dtype=[('name', 'U10'), ('age', 'i4'), ('city', 'U10')])<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
np.savetxt('example.csv', data, delimiter=',', fmt='%s,%d,%s', header='name,age,city', comments='')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2andarray<\/code>\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528savetxt<\/code>\u51fd\u6570\u5c06\u5176\u5199\u5165CSV\u6587\u4ef6\u3002delimiter=','<\/code>\u53c2\u6570\u8868\u793a\u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\uff0cfmt='%s,%d,%s'<\/code>\u53c2\u6570\u8868\u793a\u6bcf\u5217\u7684\u683c\u5f0f\uff0cheader='name,age,city'<\/code>\u53c2\u6570\u8868\u793a\u8868\u5934\uff0ccomments=''<\/code>\u53c2\u6570\u8868\u793a\u4e0d\u6dfb\u52a0\u6ce8\u91ca\u884c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u6253\u5f00CSV\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u548cnumpy<\/code>\u5e93\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\u3001\u4f7f\u7528pandas<\/code>\u5e93\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u548c\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u3001\u4f7f\u7528numpy<\/code>\u5e93\u9002\u5408\u5904\u7406\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684CSV\u6587\u4ef6\u3002<\/strong>\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
\u53c2\u8003\u6587\u732e<\/h3>\n<\/p>\n
    \n
  1. Python\u5b98\u65b9\u6587\u6863 – csv\u6a21\u5757: https:\/\/docs.python.org\/3\/library\/csv.html<\/a><\/li>\n
  2. pandas\u5b98\u65b9\u6587\u6863 – \u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6: https:\/\/pandas.pydata.org\/pandas-docs\/stable\/reference\/api\/pandas.read_csv.html<\/a><\/li>\n
  3. numpy\u5b98\u65b9\u6587\u6863 – \u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6: https:\/\/numpy.org\/doc\/stable\/reference\/generated\/numpy.genfromtxt.html<\/a><\/li>\n<\/ol>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u9996\u5148\u9700\u8981\u5bfc\u5165\u8be5\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528csv.reader()<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
    import csv\n\nwith open('file.csv', mode='r') as file:\n    csv_reader = csv.reader(file)\n    for row in csv_reader:\n        print(row)\n<\/code><\/pre>\n
    \u5982\u679c\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u53ea\u9700\u5bfc\u5165\u8be5\u5e93\u5e76\u4f7f\u7528pd.read_csv()<\/code>\u51fd\u6570\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
    import pandas as pd\n\ndata = pd.read_csv('file.csv')\nprint(data)\n<\/code><\/pre>\n
    \u4f7f\u7528Python\u8bfb\u53d6\u5927\u578bCSV\u6587\u4ef6\u65f6\u9700\u8981\u6ce8\u610f\u4ec0\u4e48\uff1f<\/strong>
    \u5904\u7406\u5927\u578bCSV\u6587\u4ef6\u65f6\uff0c\u5185\u5b58\u4f7f\u7528\u662f\u4e00\u4e2a\u91cd\u8981\u56e0\u7d20\u3002\u53ef\u4ee5\u8003\u8651\u4f7f\u7528pandas<\/code>\u4e2d\u7684chunksize<\/code>\u53c2\u6570\u6765\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u8fd9\u6837\u53ef\u4ee5\u9010\u884c\u5904\u7406\uff0c\u907f\u514d\u4e00\u6b21\u6027\u52a0\u8f7d\u6574\u4e2a\u6587\u4ef6\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
    import pandas as pd\n\nfor chunk in pd.read_csv('large_file.csv', chunksize=1000):\n    process(chunk)  # \u5904\u7406\u6bcf\u4e2a\u5757\n<\/code><\/pre>\n
    \u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u53ef\u4ee5\u964d\u4f4e\u5185\u5b58\u6d88\u8017\uff0c\u8fd8\u80fd\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/p>\n
    \u5982\u4f55\u5728Python\u4e2d\u5199\u5165CSV\u6587\u4ef6\uff1f<\/strong>
    \u5728Python\u4e2d\u5199\u5165CSV\u6587\u4ef6\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528csv.writer()<\/code>\u51fd\u6570\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
    import csv\n\nwith open('output.csv', mode='w', newline='') as file:\n    csv_writer = csv.writer(file)\n    csv_writer.writerow(['Column1', 'Column2'])\n    csv_writer.writerow(['Value1', 'Value2'])\n<\/code><\/pre>\n
    \u4f7f\u7528pandas<\/code>\u5e93\u5199\u5165CSV\u6587\u4ef6\u5219\u76f8\u5bf9\u7b80\u5355\uff0c\u901a\u8fc7\u8c03\u7528DataFrame.to_csv()<\/code>\u51fd\u6570\u5b9e\u73b0\u3002\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
    import pandas as pd\n\ndata = {'Column1': [1, 2], 'Column2': [3, 4]}\ndf = pd.DataFrame(data)\ndf.to_csv('output.csv', index=False)\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u6253\u5f00CSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u3001pandas\u5e93\u3001numpy\u5e93\u7b49\u65b9\u5f0f\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd […]","protected":false},"author":3,"featured_media":1179671,"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\/1179666"}],"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=1179666"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179666\/revisions"}],"predecessor-version":[{"id":1179672,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179666\/revisions\/1179672"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1179671"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1179666"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1179666"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1179666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}