{"id":1107077,"date":"2025-01-08T16:46:16","date_gmt":"2025-01-08T08:46:16","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1107077.html"},"modified":"2025-01-08T16:46:19","modified_gmt":"2025-01-08T08:46:19","slug":"python%e4%b8%adcsv%e6%96%87%e4%bb%b6%e5%a6%82%e4%bd%95%e6%8c%89%e8%a1%8c%e8%af%bb%e5%8f%96%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1107077.html","title":{"rendered":"python\u4e2dcsv\u6587\u4ef6\u5982\u4f55\u6309\u884c\u8bfb\u53d6\u6570\u636e"},"content":{"rendered":"

\"python\u4e2dcsv\u6587\u4ef6\u5982\u4f55\u6309\u884c\u8bfb\u53d6\u6570\u636e\"<\/p>\n

\u5728Python\u4e2d\uff0c\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u548cnumpy\u5e93\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528csv\u6a21\u5757\u662f\u6700\u5e38\u89c1\u548c\u7b80\u5355\u7684\u65b9\u6cd5\u3002csv\u6a21\u5757\u7b80\u5355\u6613\u7528\u3001\u9002\u5408\u5904\u7406\u5c0f\u578b\u548c\u4e2d\u578b\u7684CSV\u6587\u4ef6<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528csv\u6a21\u5757\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n

csv\u6a21\u5757<\/strong><\/p>\n<\/p>\n

csv\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6a21\u5757\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\u3002\u4f7f\u7528csv\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528csv\u6a21\u5757\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n

1\u3001\u5bfc\u5165csv\u6a21\u5757<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165csv\u6a21\u5757\u3002<\/p>\n<\/p>\n

import csv<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6253\u5f00CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528\u5185\u7f6e\u7684open\u51fd\u6570\u6253\u5f00CSV\u6587\u4ef6\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0copen\u51fd\u6570\u7684\u9ed8\u8ba4\u7f16\u7801\u662f\u7cfb\u7edf\u9ed8\u8ba4\u7f16\u7801\uff0c\u5982\u679c\u6587\u4ef6\u5305\u542b\u975eASCII\u5b57\u7b26\uff0c\u53ef\u80fd\u9700\u8981\u663e\u5f0f\u6307\u5b9a\u7f16\u7801\u3002<\/p>\n<\/p>\n
with open('data.csv', mode='r', encoding='utf-8') as file:<\/p>\n
    # \u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u521b\u5efacsv.reader\u5bf9\u8c61<\/h4>\n<\/p>\n
\u4f7f\u7528csv.reader\u5bf9\u8c61\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
with open('data.csv', mode='r', encoding='utf-8') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001csv\u6a21\u5757\u7684\u9ad8\u7ea7\u7528\u6cd5<\/h3>\n<\/p>\n
1\u3001\u5904\u7406\u8868\u5934<\/h4>\n<\/p>\n
\u5982\u679cCSV\u6587\u4ef6\u5305\u542b\u8868\u5934\uff0c\u53ef\u4ee5\u4f7f\u7528next\u51fd\u6570\u8df3\u8fc7\u8868\u5934\u3002<\/p>\n<\/p>\n
with open('data.csv', mode='r', encoding='utf-8') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    header = next(reader)<\/p>\n
    print('Header:', header)<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6307\u5b9a\u5206\u9694\u7b26<\/h4>\n<\/p>\n
\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0ccsv.reader\u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\u3002\u5982\u679cCSV\u6587\u4ef6\u4f7f\u7528\u5176\u4ed6\u5206\u9694\u7b26\uff0c\u53ef\u4ee5\u4f7f\u7528delimiter\u53c2\u6570\u6307\u5b9a\u3002<\/p>\n<\/p>\n
with open('data.csv', mode='r', encoding='utf-8') as file:<\/p>\n
    reader = csv.reader(file, delimiter=';')<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u8bfb\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7\u7d22\u5f15\u8bfb\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
with open('data.csv', mode='r', encoding='utf-8') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    for row in reader:<\/p>\n
        print(row[0], row[2])  # \u8bfb\u53d6\u7b2c\u4e00\u5217\u548c\u7b2c\u4e09\u5217\u7684\u6570\u636e<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528pandas\u5e93\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u9002\u5408\u5904\u7406\u5927\u578b\u548c\u590d\u6742\u7684CSV\u6587\u4ef6\u3002\u4f7f\u7528pandas\u53ef\u4ee5\u65b9\u4fbf\u5730\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n
1\u3001\u5bfc\u5165pandas\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165pandas\u5e93\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528pandas\u7684read_csv\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
df = pd.read_csv('data.csv')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u6309\u884c\u8fed\u4ee3\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528iterrows\u51fd\u6570\u6309\u884c\u8fed\u4ee3\u6570\u636e\u3002<\/p>\n<\/p>\n
df = pd.read_csv('data.csv')<\/p>\n
for index, row in df.iterrows():<\/p>\n
    print(row['Column1'], row['Column3'])  # \u8bfb\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528numpy\u5e93\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
numpy\u662f\u4e00\u4e2a\u9ad8\u6027\u80fd\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u9002\u5408\u5904\u7406\u6570\u503c\u578b\u6570\u636e\u3002\u4f7f\u7528numpy\u53ef\u4ee5\u9ad8\u6548\u5730\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
1\u3001\u5bfc\u5165numpy\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165numpy\u5e93\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528numpy\u7684genfromtxt\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
data = np.genfromtxt('data.csv', delimiter=',', dtype=None, encoding='utf-8')<\/p>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u6309\u884c\u8fed\u4ee3\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528for\u5faa\u73af\u6309\u884c\u8fed\u4ee3\u6570\u636e\u3002<\/p>\n<\/p>\n
data = np.genfromtxt('data.csv', delimiter=',', dtype=None, encoding='utf-8')<\/p>\n
for row in data:<\/p>\n
    print(row[0], row[2])  # \u8bfb\u53d6\u7279\u5b9a\u5217\u7684\u6570\u636e<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u548cnumpy\u5e93\u3002csv\u6a21\u5757\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u5904\u7406\u5c0f\u578b\u548c\u4e2d\u578b\u7684CSV\u6587\u4ef6<\/strong>\uff1bpandas\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u5927\u578b\u548c\u590d\u6742\u7684CSV\u6587\u4ef6<\/strong>\uff1bnumpy\u5e93\u9ad8\u6548\uff0c\u9002\u5408\u5904\u7406\u6570\u503c\u578b\u6570\u636e<\/strong>\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u7279\u5b9a\u884c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\u548cpandas<\/code>\u5e93\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u7279\u5b9a\u884c\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u904d\u5386\u6587\u4ef6\u5bf9\u8c61\u5e76\u5728\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\u65f6\u9009\u62e9\u884c\u3002\u5982\u679c\u4f7f\u7528pandas<\/code>\uff0c\u53ef\u4ee5\u5229\u7528iloc<\/code>\u529f\u80fd\u76f4\u63a5\u63d0\u53d6\u6240\u9700\u884c\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528pandas<\/code>\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n
import pandas as pd\n\n# \u8bfb\u53d6CSV\u6587\u4ef6\ndata = pd.read_csv('your_file.csv')\n\n# \u63d0\u53d6\u7279\u5b9a\u884c\uff0c\u4f8b\u5982\u63d0\u53d6\u7b2c2\u884c\nspecific_row = data.iloc[1]\nprint(specific_row)\n<\/code><\/pre>\n
\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong>
\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u7f3a\u5931\u503c\u53ef\u80fd\u4f1a\u5f71\u54cd\u6570\u636e\u5206\u6790\u3002\u4f7f\u7528pandas<\/code>\u5e93\u65f6\uff0c\u53ef\u4ee5\u5728\u8bfb\u53d6\u65f6\u81ea\u52a8\u5904\u7406\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528dropna()<\/code>\u51fd\u6570\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\uff0c\u6216\u4f7f\u7528fillna()<\/code>\u51fd\u6570\u586b\u5145\u7f3a\u5931\u503c\u3002\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a  <\/p>\n
data = pd.read_csv('your_file.csv')\n\n# \u5220\u9664\u7f3a\u5931\u503c\u7684\u884c\ncleaned_data = data.dropna()\n\n# \u75280\u586b\u5145\u7f3a\u5931\u503c\nfilled_data = data.fillna(0)\n<\/code><\/pre>\n
\u5982\u4f55\u63d0\u9ad8CSV\u6587\u4ef6\u8bfb\u53d6\u7684\u6548\u7387\uff1f<\/strong>
\u8bfb\u53d6\u5927\u578bCSV\u6587\u4ef6\u65f6\uff0c\u6548\u7387\u53ef\u80fd\u6210\u4e3a\u95ee\u9898\u3002\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528chunksize<\/code>\u53c2\u6570\u6765\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u6216\u4f7f\u7528dask<\/code>\u7b49\u5e93\u6765\u5904\u7406\u66f4\u5927\u7684\u6570\u636e\u96c6\u3002pandas<\/code>\u4e2d\u7684\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
import pandas as pd\n\n# \u5206\u5757\u8bfb\u53d6CSV\u6587\u4ef6\nchunk_size = 1000\nfor chunk in pd.read_csv('your_file.csv', chunksize=chunk_size):\n    process(chunk)  # \u5bf9\u6bcf\u4e2a\u5757\u8fdb\u884c\u5904\u7406\n<\/code><\/pre>\n
\u4f7f\u7528\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u663e\u8457\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u5e76\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u6309\u884c\u8bfb\u53d6CSV\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528csv\u6a21\u5757\u3001pandas\u5e93\u548cnumpy\u5e93\u3002 \u5176 […]","protected":false},"author":3,"featured_media":1107084,"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\/1107077"}],"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=1107077"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1107077\/revisions"}],"predecessor-version":[{"id":1107085,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1107077\/revisions\/1107085"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1107084"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1107077"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1107077"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1107077"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}