{"id":1125557,"date":"2025-01-08T19:52:54","date_gmt":"2025-01-08T11:52:54","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1125557.html"},"modified":"2025-01-08T19:52:56","modified_gmt":"2025-01-08T11:52:56","slug":"python%e5%a6%82%e4%bd%95%e7%bb%99csv%e6%96%87%e4%bb%b6%e7%ac%ac%e4%b8%80%e8%a1%8c%e5%86%99","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1125557.html","title":{"rendered":"python\u5982\u4f55\u7ed9csv\u6587\u4ef6\u7b2c\u4e00\u884c\u5199"},"content":{"rendered":"

\"python\u5982\u4f55\u7ed9csv\u6587\u4ef6\u7b2c\u4e00\u884c\u5199\"<\/p>\n

\u5728Python\u4e2d\u7ed9CSV\u6587\u4ef6\u7b2c\u4e00\u884c\u5199\u5185\u5bb9\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u3001openpyxl<\/code>\u5e93<\/strong>\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u6bcf\u79cd\u65b9\u6cd5\uff0c\u5e2e\u52a9\u4f60\u9009\u62e9\u6700\u9002\u5408\u4f60\u7684\u65b9\u5f0f\u3002<\/p>\n<\/p>\n

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

csv<\/code>\u6a21\u5757\u662fPython\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u3002\u901a\u8fc7csv.writer<\/code>\u65b9\u6cd5\u53ef\u4ee5\u8f7b\u677e\u5730\u5199\u5165CSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u3002<\/p>\n<\/p>\n

import csv<\/p>\n
header = ["Column1", "Column2", "Column3"]<\/p>\n
data = [<\/p>\n
    ["Value1", "Value2", "Value3"],<\/p>\n
    ["Value4", "Value5", "Value6"]<\/p>\n
]<\/p>\n
with open('example.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(header)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0<\/strong>\uff1a\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u5b9a\u4e49\u4e86\u4e00\u4e2aheader<\/code>\u5217\u8868\uff0c\u5305\u542b\u4e86CSV\u6587\u4ef6\u7684\u5217\u540d\u3002\u63a5\u7740\uff0c\u5b9a\u4e49\u4e86\u4e00\u4e9b\u6570\u636e\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\u3002\u4f7f\u7528open<\/code>\u51fd\u6570\u6253\u5f00\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528csv.writer<\/code>\u521b\u5efa\u4e00\u4e2awriter\u5bf9\u8c61\u3002\u901a\u8fc7writer.writerow(header)<\/code>\u5199\u5165\u7b2c\u4e00\u884c\u7684\u5217\u540d\uff0c\u7136\u540e\u901a\u8fc7writer.writerows(data)<\/code>\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u5e38\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002\u4f7f\u7528pandas<\/code>\u53ef\u4ee5\u66f4\u65b9\u4fbf\u5730\u5904\u7406CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
header = ["Column1", "Column2", "Column3"]<\/p>\n
data = [<\/p>\n
    ["Value1", "Value2", "Value3"],<\/p>\n
    ["Value4", "Value5", "Value6"]<\/p>\n
]<\/p>\n
df = pd.DataFrame(data, columns=header)<\/p>\n
df.to_csv('example.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0<\/strong>\uff1a\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u5bfc\u5165pandas<\/code>\u5e93\u3002\u7136\u540e\u5b9a\u4e49\u5217\u540d\u548c\u6570\u636e\uff0c\u521b\u5efa\u4e00\u4e2aDataFrame<\/code>\u5bf9\u8c61\u3002\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame<\/code>\u5199\u5165CSV\u6587\u4ef6\uff0c\u5e76\u4e14\u8bbe\u7f6eindex=False<\/code>\u6765\u907f\u514d\u5199\u5165\u884c\u7d22\u5f15\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528openpyxl\u5e93<\/h3>\n<\/p>\n
openpyxl<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684\u5e93\u3002\u867d\u7136\u5b83\u4e3b\u8981\u7528\u4e8eExcel\u6587\u4ef6\uff0c\u4e5f\u53ef\u4ee5\u7528\u4e8eCSV\u6587\u4ef6\u7684\u5904\u7406\u3002<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
header = ["Column1", "Column2", "Column3"]<\/p>\n
data = [<\/p>\n
    ["Value1", "Value2", "Value3"],<\/p>\n
    ["Value4", "Value5", "Value6"]<\/p>\n
]<\/p>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
ws.append(header)<\/p>\n
for row in data:<\/p>\n
    ws.append(row)<\/p>\n
wb.save('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0<\/strong>\uff1a\u9996\u5148\u5bfc\u5165openpyxl<\/code>\u5e93\u3002\u521b\u5efa\u4e00\u4e2aWorkbook<\/code>\u5bf9\u8c61\uff0c\u5e76\u83b7\u53d6\u6d3b\u52a8\u7684\u5de5\u4f5c\u8868\u3002\u4f7f\u7528ws.append(header)<\/code>\u6dfb\u52a0\u5217\u540d\uff0c\u7136\u540e\u904d\u5386\u6570\u636e\u5217\u8868\uff0c\u5c06\u6bcf\u4e00\u884c\u6570\u636e\u6dfb\u52a0\u5230\u5de5\u4f5c\u8868\u4e2d\u3002\u6700\u540e\uff0c\u4fdd\u5b58\u5de5\u4f5c\u7c3f\u4e3aExcel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u56db\u3001\u6bd4\u8f83\u4e0e\u9009\u62e9<\/h3>\n<\/p>\n
csv\u6a21\u5757<\/strong>\uff1a\u9002\u7528\u4e8e\u7b80\u5355\u7684CSV\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\uff0c\u5185\u7f6e\u6a21\u5757\u65e0\u9700\u5b89\u88c5\uff0c\u9002\u5408\u5904\u7406\u5c0f\u89c4\u6a21\u6570\u636e\u3002<\/p>\n
pandas\u5e93<\/strong>\uff1a\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u6570\u636e\u5206\u6790\u548c\u5904\u7406\uff0c\u652f\u6301\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/p>\n
openpyxl\u5e93<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8eExcel\u6587\u4ef6\u5904\u7406\uff0c\u867d\u7136\u4e5f\u80fd\u5904\u7406CSV\u6587\u4ef6\uff0c\u4f46\u4e0d\u5982\u524d\u4e24\u8005\u65b9\u4fbf\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5b9e\u9645\u5e94\u7528\u6848\u4f8b<\/h3>\n<\/p>\n
1\u3001\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/h4>\n<\/p>\n
\u5f53\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0cpandas<\/code>\u5e93\u7684\u4f18\u52bf\u5c24\u4e3a\u660e\u663e\u3002pandas<\/code>\u4e0d\u4ec5\u80fd\u591f\u9ad8\u6548\u5730\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\uff0c\u8fd8\u80fd\u591f\u8fdb\u884c\u5404\u79cd\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u64cd\u4f5c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e<\/strong><\/h2>\n
df = pd.read_csv('large_dataset.csv')<\/p>\n
\u6570\u636e\u6e05\u6d17<\/strong><\/h2>\n
df.dropna(inplace=True)<\/p>\n
df = df[df['Column1'] > 0]<\/p>\n
\u6570\u636e\u5199\u5165<\/strong><\/h2>\n
df.to_csv('cleaned_dataset.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u81ea\u52a8\u5316\u4efb\u52a1<\/h4>\n<\/p>\n
\u5728\u81ea\u52a8\u5316\u4efb\u52a1\u4e2d\uff0ccsv<\/code>\u6a21\u5757\u548copenpyxl<\/code>\u5e93\u90fd\u80fd\u53d1\u6325\u91cd\u8981\u4f5c\u7528\u3002\u4f8b\u5982\uff0c\u5b9a\u671f\u751f\u6210\u62a5\u8868\u5e76\u53d1\u9001\u7ed9\u76f8\u5173\u4eba\u5458\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
import smtplib<\/p>\n
from emAI<\/a>l.mime.text import MIMEText<\/p>\n
\u751f\u6210\u62a5\u8868<\/strong><\/h2>\n
header = ["Column1", "Column2", "Column3"]<\/p>\n
data = [<\/p>\n
    ["Value1", "Value2", "Value3"],<\/p>\n
    ["Value4", "Value5", "Value6"]<\/p>\n
]<\/p>\n
with open('report.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(header)<\/p>\n
    writer.writerows(data)<\/p>\n
\u53d1\u9001\u62a5\u8868\u90ae\u4ef6<\/strong><\/h2>\n
msg = MIMEText('Please find the attached report.')<\/p>\n
msg['Subject'] = 'Monthly Report'<\/p>\n
msg['From'] = 'sender@example.com'<\/p>\n
msg['To'] = 'recipient@example.com'<\/p>\n
with open('report.csv', 'r') as f:<\/p>\n
    attachment = MIMEText(f.read())<\/p>\n
    attachment.add_header('Content-Disposition', 'attachment', filename='report.csv')<\/p>\n
    msg.attach(attachment)<\/p>\n
with smtplib.SMTP('smtp.example.com') as server:<\/p>\n
    server.login('username', 'password')<\/p>\n
    server.sendmail('sender@example.com', 'recipient@example.com', msg.as_string())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u6700\u4f73\u5b9e\u8df5<\/h3>\n<\/p>\n
1\u3001\u4f7f\u7528\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668<\/h4>\n<\/p>\n
\u4f7f\u7528\u4e0a\u4e0b\u6587\u7ba1\u7406\u5668\uff08with<\/code>\u8bed\u53e5\uff09\u6253\u5f00\u6587\u4ef6\uff0c\u53ef\u4ee5\u786e\u4fdd\u6587\u4ef6\u5728\u64cd\u4f5c\u5b8c\u6210\u540e\u81ea\u52a8\u5173\u95ed\uff0c\u907f\u514d\u6587\u4ef6\u6cc4\u6f0f\u3002<\/p>\n<\/p>\n
with open('example.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(header)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u6570\u636e\u9a8c\u8bc1<\/h4>\n<\/p>\n
\u5728\u5199\u5165CSV\u6587\u4ef6\u4e4b\u524d\uff0c\u8fdb\u884c\u6570\u636e\u9a8c\u8bc1\u53ef\u4ee5\u907f\u514d\u5199\u5165\u9519\u8bef\u6570\u636e\u3002\u4f8b\u5982\uff0c\u68c0\u67e5\u6570\u636e\u7c7b\u578b\u3001\u7a7a\u503c\u7b49\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = [<\/p>\n
    ["Value1", "Value2", "Value3"],<\/p>\n
    ["Value4", None, "Value6"]<\/p>\n
]<\/p>\n
df = pd.DataFrame(data, columns=header)<\/p>\n
\u6570\u636e\u9a8c\u8bc1<\/strong><\/h2>\n
if df.isnull().values.any():<\/p>\n
    raise ValueError("Data contains null values")<\/p>\n
df.to_csv('validated_data.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u65e5\u5fd7\u8bb0\u5f55<\/h4>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u8bb0\u5f55\u65e5\u5fd7\u53ef\u4ee5\u5e2e\u52a9\u6392\u67e5\u95ee\u9898\u3002\u4f8b\u5982\uff0c\u4f7f\u7528logging<\/code>\u6a21\u5757\u8bb0\u5f55\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
import logging<\/p>\n
import csv<\/p>\n
logging.basicConfig(filename='app.log', level=logging.INFO)<\/p>\n
header = ["Column1", "Column2", "Column3"]<\/p>\n
data = [<\/p>\n
    ["Value1", "Value2", "Value3"],<\/p>\n
    ["Value4", "Value5", "Value6"]<\/p>\n
]<\/p>\n
try:<\/p>\n
    with open('example.csv', 'w', newline='') as file:<\/p>\n
        writer = csv.writer(file)<\/p>\n
        writer.writerow(header)<\/p>\n
        writer.writerows(data)<\/p>\n
    logging.info("CSV file written successfully")<\/p>\n
except Exception as e:<\/p>\n
    logging.error(f"Error writing CSV file: {e}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u8be6\u7ec6\u63a2\u8ba8\u4e86Python\u4e2d\u7ed9CSV\u6587\u4ef6\u7b2c\u4e00\u884c\u5199\u5185\u5bb9\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528csv<\/code>\u6a21\u5757\u3001pandas<\/code>\u5e93\u548copenpyxl<\/code>\u5e93\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\uff0c\u9009\u62e9\u9002\u5408\u4f60\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u540c\u65f6\uff0c\u6211\u4eec\u8fd8\u8ba8\u8bba\u4e86\u4e00\u4e9b\u5b9e\u9645\u5e94\u7528\u6848\u4f8b\u548c\u6700\u4f73\u5b9e\u8df5\uff0c\u5e0c\u671b\u80fd\u4e3a\u4f60\u7684\u5de5\u4f5c\u63d0\u4f9b\u53c2\u8003\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528csv<\/code>\u6a21\u5757\u6765\u5904\u7406CSV\u6587\u4ef6\u3002\u8981\u5728CSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u5199\u5165\u6570\u636e\uff0c\u53ef\u4ee5\u5148\u8bfb\u53d6\u73b0\u6709\u6587\u4ef6\u7684\u5185\u5bb9\uff0c\u7136\u540e\u5728\u5185\u5b58\u4e2d\u6dfb\u52a0\u65b0\u884c\uff0c\u518d\u5199\u56de\u6587\u4ef6\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u6253\u5f00\u6587\u4ef6\u3001\u8bfb\u53d6\u5185\u5bb9\u3001\u63d2\u5165\u65b0\u884c\u3001\u518d\u5199\u5165\u6587\u4ef6\u3002<\/p>\n
\u4f7f\u7528pandas\u5e93\u6765\u4fee\u6539CSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u662f\u5426\u66f4\u65b9\u4fbf\uff1f<\/strong>
\u4f7f\u7528pandas<\/code>\u5e93\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5904\u7406CSV\u6587\u4ef6\u3002\u901a\u8fc7pandas.read_csv()<\/code>\u8bfb\u53d6\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528DataFrame.insert()<\/code>\u65b9\u6cd5\u5728\u7b2c\u4e00\u884c\u63d2\u5165\u65b0\u6570\u636e\uff0c\u6700\u540e\u518d\u4f7f\u7528DataFrame.to_csv()<\/code>\u4fdd\u5b58\u6587\u4ef6\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u7b80\u5355\uff0c\u8fd8\u652f\u6301\u66f4\u591a\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002<\/p>\n
\u5728\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u786e\u4fdd\u6570\u636e\u683c\u5f0f\u6b63\u786e\uff1f<\/strong>
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