{"id":1058401,"date":"2024-12-31T15:16:08","date_gmt":"2024-12-31T07:16:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1058401.html"},"modified":"2024-12-31T15:16:10","modified_gmt":"2024-12-31T07:16:10","slug":"python-%e5%af%bc%e5%85%a5%e9%a1%b9%e7%9b%ae%e6%97%b6%e6%95%b0%e6%8d%ae%e9%9b%86%e5%a6%82%e4%bd%95%e5%af%bc%e5%85%a5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1058401.html","title":{"rendered":"python \u5bfc\u5165\u9879\u76ee\u65f6\u6570\u636e\u96c6\u5982\u4f55\u5bfc\u5165"},"content":{"rendered":"

\"python<\/p>\n

\u5728Python\u5bfc\u5165\u9879\u76ee\u65f6\u6570\u636e\u96c6\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528OpenPyXL\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93\u3001\u76f4\u63a5\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/strong>\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684Python\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u3001\u4fbf\u6377\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\u3002\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u51e0\u884c\u4ee3\u7801\u5c31\u53ef\u4ee5\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Pandas\u5e93\uff0c\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = pd.read_csv('path_to_your_csv_file.csv')<\/p>\n
\u663e\u793a\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6837\uff0c\u6211\u4eec\u5c31\u6210\u529f\u5730\u5c06CSV\u6587\u4ef6\u7684\u6570\u636e\u5bfc\u5165\u5230Pandas DataFrame\u4e2d\uff0c\u5e76\u53ef\u4ee5\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u4e00\u3001PANDAS\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
Pandas\u7684read_csv\u51fd\u6570\u662f\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u5e38\u7528\u65b9\u6cd5\u3002\u5b83\u53ef\u4ee5\u5904\u7406\u5305\u542b\u6807\u9898\u884c\u7684\u6587\u4ef6\uff0c\u5e76\u5c06\u6570\u636e\u5bfc\u5165\u5230DataFrame\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = pd.read_csv('path_to_your_csv_file.csv')<\/p>\n
\u663e\u793a\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h4>\n<\/p>\n
\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u6570\u636e\u96c6\u53ef\u80fd\u5305\u542b\u7f3a\u5931\u503c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684\u65b9\u6cd5\u6765\u5904\u7406\u8fd9\u4e9b\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528dropna\u65b9\u6cd5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\uff0c\u6216\u8005\u4f7f\u7528fillna\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\u3002<\/p>\n<\/p>\n
# \u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/p>\n
data_cleaned = data.dropna()<\/p>\n
\u4f7f\u7528\u5e73\u5747\u503c\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
data_filled = data.fillna(data.mean())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001OPENPYXL\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n
1\u3001\u5b89\u88c5OpenPyXL<\/h4>\n<\/p>\n
OpenPyXL\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684Python\u5e93\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86OpenPyXL\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528OpenPyXL\u8bfb\u53d6Excel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = load_workbook('path_to_your_excel_file.xlsx')<\/p>\n
\u83b7\u53d6\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
\u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u6240\u6709\u884c<\/strong><\/h2>\n
for row in sheet.iter_rows(values_only=True):<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001SQLALCHEMY\u8fde\u63a5\u6570\u636e\u5e93<\/h3>\n<\/p>\n
1\u3001\u5b89\u88c5SQLAlchemy<\/h4>\n<\/p>\n
SQLAlchemy\u662f\u4e00\u4e2a\u7528\u4e8e\u8fde\u63a5\u548c\u64cd\u4f5c\u6570\u636e\u5e93\u7684Python\u5e93\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86SQLAlchemy\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install sqlalchemy<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8fde\u63a5\u6570\u636e\u5e93<\/h4>\n<\/p>\n
\u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93\u975e\u5e38\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from sqlalchemy import create_engine<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
engine = create_engine('sqlite:\/\/\/path_to_your_database.db')<\/p>\n
\u8bfb\u53d6\u6570\u636e\u8868<\/strong><\/h2>\n
data = pd.read_sql_table('table_name', engine)<\/p>\n
\u663e\u793a\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u76f4\u63a5\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/h3>\n<\/p>\n
1\u3001\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/h4>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684open\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n
with open('path_to_your_text_file.txt', 'r') as file:<\/p>\n
    lines = file.readlines()<\/p>\n
\u663e\u793a\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n
for line in lines[:5]:<\/p>\n
    print(line.strip())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5904\u7406\u6587\u672c\u6570\u636e<\/h4>\n<\/p>\n
\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u6587\u672c\u6570\u636e\u53ef\u80fd\u5305\u542b\u591a\u79cd\u683c\u5f0f\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5b57\u7b26\u4e32\u5904\u7406\u65b9\u6cd5\u6765\u5904\u7406\u8fd9\u4e9b\u6570\u636e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528split\u65b9\u6cd5\u5c06\u6bcf\u884c\u6570\u636e\u62c6\u5206\u6210\u591a\u4e2a\u5b57\u6bb5\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n
with open('path_to_your_text_file.txt', 'r') as file:<\/p>\n
    lines = file.readlines()<\/p>\n
\u5904\u7406\u6bcf\u884c\u6570\u636e<\/strong><\/h2>\n
for line in lines:<\/p>\n
    fields = line.strip().split(',')<\/p>\n
    print(fields)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5176\u4ed6\u6570\u636e\u5bfc\u5165\u65b9\u6cd5<\/h3>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\u5916\uff0c\u8fd8\u6709\u5176\u4ed6\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u636e\u5bfc\u5165\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528requests\u5e93\u4ece\u7f51\u7edc\u4e0a\u83b7\u53d6\u6570\u636e\uff0c\u6216\u8005\u4f7f\u7528BeautifulSoup\u5e93\u89e3\u6790HTML\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528requests\u5e93\u83b7\u53d6\u6570\u636e<\/h4>\n<\/p>\n
import requests<\/p>\n
\u83b7\u53d6\u6570\u636e<\/strong><\/h2>\n
response = requests.get('https:\/\/api.example.com\/data')<\/p>\n
\u663e\u793a\u6570\u636e<\/strong><\/h2>\n
print(response.json())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528BeautifulSoup\u5e93\u89e3\u6790HTML\u6587\u4ef6<\/h4>\n<\/p>\n
from bs4 import BeautifulSoup<\/p>\n
\u8bfb\u53d6HTML\u6587\u4ef6<\/strong><\/h2>\n
with open('path_to_your_html_file.html', 'r') as file:<\/p>\n
    soup = BeautifulSoup(file, 'html.parser')<\/p>\n
\u663e\u793a\u6240\u6709\u94fe\u63a5<\/strong><\/h2>\n
for link in soup.find_all('a'):<\/p>\n
    print(link.get('href'))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u5bfc\u5165\u9879\u76ee\u65f6\u6570\u636e\u96c6\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u6548\u7387\u3002\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u6570\u636e\u7684\u683c\u5f0f\u548c\u6765\u6e90\u9009\u62e9\u4e0d\u540c\u7684\u65b9\u6cd5\uff0c\u4f8b\u5982\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528OpenPyXL\u8bfb\u53d6Excel\u6587\u4ef6\u3001\u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93\u3001\u76f4\u63a5\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u7b49\u3002\u540c\u65f6\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5176\u4ed6\u4e00\u4e9b\u5e38\u7528\u7684\u5e93\uff0c\u5982requests\u548cBeautifulSoup\u6765\u83b7\u53d6\u548c\u5904\u7406\u6570\u636e\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u4f60\u5728Python\u9879\u76ee\u4e2d\u66f4\u52a0\u9ad8\u6548\u5730\u5bfc\u5165\u548c\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u9879\u76ee\u4e2d\u6b63\u786e\u5bfc\u5165\u6570\u636e\u96c6\uff1f<\/strong>
\u5728Python\u9879\u76ee\u4e2d\u5bfc\u5165\u6570\u636e\u96c6\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u3001Excel\u6216SQL\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528pd.read_csv('file_path.csv')<\/code>\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u6216\u8005\u4f7f\u7528pd.read_excel('file_path.xlsx')<\/code>\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u6b63\u786e\uff0c\u5e76\u4e14\u6587\u4ef6\u683c\u5f0f\u4e0e\u60a8\u4f7f\u7528\u7684\u8bfb\u53d6\u51fd\u6570\u76f8\u5339\u914d\u3002<\/p>\n
\u5728\u5bfc\u5165\u6570\u636e\u96c6\u65f6\u5e38\u89c1\u7684\u9519\u8bef\u53ca\u89e3\u51b3\u65b9\u6848\u662f\u4ec0\u4e48\uff1f<\/strong>
\u5bfc\u5165\u6570\u636e\u96c6\u65f6\uff0c\u5e38\u89c1\u7684\u9519\u8bef\u5305\u62ec\u6587\u4ef6\u8def\u5f84\u9519\u8bef\u3001\u6587\u4ef6\u683c\u5f0f\u4e0d\u5339\u914d\u53ca\u7f3a\u5931\u4f9d\u8d56\u5e93\u7b49\u3002\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u662f\u7edd\u5bf9\u8def\u5f84\u6216\u8005\u76f8\u5bf9\u4e8e\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u7684\u8def\u5f84\u3002\u6b64\u5916\uff0c\u786e\u4fdd\u60a8\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\uff0c\u4f8b\u5982Pandas\u548cNumPy\u3002\u5982\u679c\u9047\u5230\u7f16\u7801\u95ee\u9898\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u6307\u5b9a\u7f16\u7801\u683c\u5f0f\uff0c\u5982pd.read_csv('file_path.csv', encoding='utf-8')<\/code>\u3002<\/p>\n
\u5982\u4f55\u5904\u7406\u5bfc\u5165\u540e\u6570\u636e\u96c6\u4e2d\u7684\u7f3a\u5931\u503c\uff1f<\/strong>
\u5728\u6570\u636e\u96c6\u5bfc\u5165\u540e\uff0c\u5904\u7406\u7f3a\u5931\u503c\u662f\u6570\u636e\u9884\u5904\u7406\u7684\u91cd\u8981\u4e00\u6b65\u3002\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\uff0c\u6216\u8005\u4f7f\u7528fillna()<\/code>\u65b9\u6cd5\u7528\u7279\u5b9a\u503c\u6216\u5747\u503c\u586b\u5145\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff0cdf.fillna(0)<\/code>\u5c06\u7f3a\u5931\u503c\u66ff\u6362\u4e3a0\u3002\u9009\u62e9\u5408\u9002\u7684\u5904\u7406\u65b9\u5f0f\u901a\u5e38\u53d6\u51b3\u4e8e\u6570\u636e\u5206\u6790\u7684\u76ee\u7684\u548c\u7f3a\u5931\u503c\u7684\u6570\u91cf\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u5bfc\u5165\u9879\u76ee\u65f6\u6570\u636e\u96c6\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528OpenPyXL\u8bfb\u53d6E […]","protected":false},"author":3,"featured_media":1058412,"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\/1058401"}],"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=1058401"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1058401\/revisions"}],"predecessor-version":[{"id":1058416,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1058401\/revisions\/1058416"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1058412"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1058401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1058401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1058401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}