{"id":1158260,"date":"2025-01-13T18:38:28","date_gmt":"2025-01-13T10:38:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1158260.html"},"modified":"2025-01-13T18:38:31","modified_gmt":"2025-01-13T10:38:31","slug":"%e5%a6%82%e4%bd%95%e6%8a%8a%e6%96%87%e6%a1%a3%e6%94%be%e8%bf%9bpython","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1158260.html","title":{"rendered":"\u5982\u4f55\u628a\u6587\u6863\u653e\u8fdbPython"},"content":{"rendered":"

\"\u5982\u4f55\u628a\u6587\u6863\u653e\u8fdbPython\"<\/p>\n

\u4e00\u3001\u5982\u4f55\u628a\u6587\u6863\u653e\u8fdbPython<\/p>\n<\/p>\n

\u8981\u628a\u6587\u6863\u653e\u8fdbPython\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u4f8b\u5982\u4f7f\u7528\u6587\u4ef6\u8bfb\u53d6\u51fd\u6570\u3001Pandas\u5e93\u3001open()\u51fd\u6570\u7b49\u3002<\/strong>\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u80fd\u5e2e\u52a9\u4f60\u8bfb\u53d6\u548c\u5904\u7406\u4e0d\u540c\u7c7b\u578b\u7684\u6587\u4ef6\uff0c\u5982\u6587\u672c\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001Excel\u6587\u4ef6\u7b49\u3002\u5176\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93<\/strong>\u662f\u975e\u5e38\u5e38\u89c1\u4e14\u9ad8\u6548\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u56e0\u4e3aPandas\u5e93\u4e0d\u4ec5\u80fd\u8bfb\u53d6\u5404\u79cd\u6587\u4ef6\u7c7b\u578b\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n

Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u652f\u6301\u8bfb\u53d6\u548c\u5199\u5165\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\u3002\u8981\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u53ea\u9700\u8981\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002<\/p>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pandas\u5e93\u3002\u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('your_file.csv')<\/p>\n
\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165\u4e86Pandas\u5e93\uff0c\u7136\u540e\u4f7f\u7528pd.read_csv<\/code>\u51fd\u6570\u8bfb\u53d6\u540d\u4e3ayour_file.csv<\/code>\u7684CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame\u5bf9\u8c61df<\/code>\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528df.head()<\/code>\u51fd\u6570\u67e5\u770b\u8bfb\u53d6\u5230\u7684\u6570\u636e\u7684\u524d\u4e94\u884c\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528open()\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n<\/p>\n
\u5982\u679c\u4f60\u9700\u8981\u8bfb\u53d6\u7684\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u6587\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u8bfb\u53d6\u5185\u5bb9\u8f83\u4e3a\u7b80\u5355\u7684\u6587\u4ef6\uff0c\u5982\u7eaf\u6587\u672c\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u5177\u4f53\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
\u6253\u5f00\u5e76\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528open()<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u6253\u5f00\u548c\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
# \u6253\u5f00\u6587\u4ef6<\/p>\n
file = open('your_file.txt', 'r')<\/p>\n
\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/strong><\/h2>\n
content = file.read()<\/p>\n
\u5173\u95ed\u6587\u4ef6<\/strong><\/h2>\n
file.close()<\/p>\n
\u6253\u5370\u6587\u4ef6\u5185\u5bb9<\/strong><\/h2>\n
print(content)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528open()<\/code>\u51fd\u6570\u4ee5\u8bfb\u53d6\u6a21\u5f0f\uff08'r'\uff09\u6253\u5f00\u4e86\u540d\u4e3ayour_file.txt<\/code>\u7684\u6587\u4ef6\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528read()<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\u7684\u5168\u90e8\u5185\u5bb9\u5e76\u5c06\u5176\u5b58\u50a8\u5728content<\/code>\u53d8\u91cf\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u5173\u95ed\u6587\u4ef6\u5e76\u6253\u5370\u51fa\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u4f7f\u7528with\u8bed\u53e5\u8bfb\u53d6\u6587\u4ef6<\/h3>\n<\/p>\n
\u4e3a\u4e86\u907f\u514d\u5fd8\u8bb0\u5173\u95ed\u6587\u4ef6\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528with<\/code>\u8bed\u53e5\u6765\u6253\u5f00\u6587\u4ef6\u3002with<\/code>\u8bed\u53e5\u4f1a\u5728\u4ee3\u7801\u5757\u6267\u884c\u5b8c\u6bd5\u540e\u81ea\u52a8\u5173\u95ed\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
# \u4f7f\u7528with\u8bed\u53e5\u6253\u5f00\u6587\u4ef6<\/p>\n
with open('your_file.txt', 'r') as file:<\/p>\n
    content = file.read()<\/p>\n
\u6253\u5370\u6587\u4ef6\u5185\u5bb9<\/strong><\/h2>\n
print(content)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6837\u5199\u7684\u597d\u5904\u662f\u5373\u4f7f\u5728\u8bfb\u53d6\u6587\u4ef6\u65f6\u53d1\u751f\u5f02\u5e38\uff0c\u6587\u4ef6\u4e5f\u4f1a\u88ab\u81ea\u52a8\u5173\u95ed\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<\/p>\n
\u9664\u4e86CSV\u548c\u6587\u672c\u6587\u4ef6\u5916\uff0cPandas\u5e93\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002Pandas\u63d0\u4f9b\u4e86read_excel<\/code>\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
\u4f7f\u7528Pandas\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pandas\u548copenpyxl\u5e93\u3002\u5982\u679c\u8fd8\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 openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u6765\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('your_file.xlsx')<\/p>\n
\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pd.read_excel<\/code>\u51fd\u6570\u8bfb\u53d6\u540d\u4e3ayour_file.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame\u5bf9\u8c61df<\/code>\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528df.head()<\/code>\u51fd\u6570\u67e5\u770b\u8bfb\u53d6\u5230\u7684\u6570\u636e\u7684\u524d\u4e94\u884c\u3002<\/p>\n<\/p>\n
\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u7684Excel\u6587\u4ef6\u5305\u542b\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u4f60\u53ef\u4ee5\u6307\u5b9a\u8bfb\u53d6\u67d0\u4e2a\u5de5\u4f5c\u8868\u6216\u540c\u65f6\u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u6307\u5b9a\u5de5\u4f5c\u8868<\/p>\n
df_sheet1 = pd.read_excel('your_file.xlsx', sheet_name='Sheet1')<\/p>\n
print(df_sheet1.head())<\/p>\n
\u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868<\/strong><\/h2>\n
all_sheets = pd.read_excel('your_file.xlsx', sheet_name=None)<\/p>\n
for sheet_name, df in all_sheets.items():<\/p>\n
    print(f'Sheet name: {sheet_name}')<\/p>\n
    print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8bfb\u53d6\u4e86\u540d\u4e3aSheet1<\/code>\u7684\u5de5\u4f5c\u8868\uff0c\u7136\u540e\u8bfb\u53d6\u4e86\u6240\u6709\u5de5\u4f5c\u8868\u5e76\u6253\u5370\u51fa\u6bcf\u4e2a\u5de5\u4f5c\u8868\u7684\u540d\u79f0\u548c\u524d\u4e94\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u56db\u3001\u8bfb\u53d6JSON\u6587\u4ef6<\/p>\n<\/p>\n
JSON\uff08JavaScript Object Notation\uff09\u662f\u4e00\u79cd\u5e38\u7528\u7684\u8f7b\u91cf\u7ea7\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0cPython\u4e5f\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u5de5\u5177\u6765\u8bfb\u53d6JSON\u6587\u4ef6\u3002\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684json<\/code>\u5e93\u6216Pandas\u5e93\u6765\u8bfb\u53d6JSON\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4f7f\u7528json\u5e93\u8bfb\u53d6JSON\u6587\u4ef6<\/h3>\n<\/p>\n
Python\u7684json<\/code>\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6\u548c\u89e3\u6790JSON\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import json<\/p>\n
\u6253\u5f00\u5e76\u8bfb\u53d6JSON\u6587\u4ef6<\/strong><\/h2>\n
with open('your_file.json', 'r') as file:<\/p>\n
    data = json.load(file)<\/p>\n
\u6253\u5370JSON\u6570\u636e<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with<\/code>\u8bed\u53e5\u6253\u5f00\u540d\u4e3ayour_file.json<\/code>\u7684JSON\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528json.load()<\/code>\u51fd\u6570\u89e3\u6790\u6587\u4ef6\u5185\u5bb9\u5e76\u5c06\u5176\u5b58\u50a8\u5728data<\/code>\u53d8\u91cf\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u6253\u5370\u51fa\u89e3\u6790\u540e\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4f7f\u7528Pandas\u8bfb\u53d6JSON\u6587\u4ef6<\/h3>\n<\/p>\n
Pandas\u5e93\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6JSON\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6JSON\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_json('your_file.json')<\/p>\n
\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pd.read_json<\/code>\u51fd\u6570\u8bfb\u53d6\u540d\u4e3ayour_file.json<\/code>\u7684JSON\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame\u5bf9\u8c61df<\/code>\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528df.head()<\/code>\u51fd\u6570\u67e5\u770b\u8bfb\u53d6\u5230\u7684\u6570\u636e\u7684\u524d\u4e94\u884c\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u8bfb\u53d6XML\u6587\u4ef6<\/p>\n<\/p>\n
XML\uff08eXtensible Markup Language\uff09\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6807\u8bb0\u8bed\u8a00\uff0c\u7528\u4e8e\u8868\u793a\u7ed3\u6784\u5316\u6570\u636e\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5de5\u5177\u6765\u8bfb\u53d6\u548c\u89e3\u6790XML\u6587\u4ef6\uff0c\u5982xml.etree.ElementTree<\/code>\u5e93\u548cPandas\u5e93\u3002<\/p>\n<\/p>\n
\u4f7f\u7528ElementTree\u8bfb\u53d6XML\u6587\u4ef6<\/h3>\n<\/p>\n
xml.etree.ElementTree<\/code>\u662fPython\u5185\u7f6e\u7684XML\u89e3\u6790\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u89e3\u6790XML\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import xml.etree.ElementTree as ET<\/p>\n
\u89e3\u6790XML\u6587\u4ef6<\/strong><\/h2>\n
tree = ET.parse('your_file.xml')<\/p>\n
root = tree.getroot()<\/p>\n
\u904d\u5386XML\u5143\u7d20<\/strong><\/h2>\n
for child in root:<\/p>\n
    print(child.tag, child.attrib)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528ET.parse<\/code>\u51fd\u6570\u89e3\u6790\u540d\u4e3ayour_file.xml<\/code>\u7684XML\u6587\u4ef6\uff0c\u5e76\u83b7\u53d6\u5176\u6839\u5143\u7d20\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u6839\u5143\u7d20\u7684\u5b50\u5143\u7d20\uff0c\u5e76\u6253\u5370\u51fa\u6bcf\u4e2a\u5b50\u5143\u7d20\u7684\u6807\u7b7e\u548c\u5c5e\u6027\u3002<\/p>\n<\/p>\n
\u4f7f\u7528Pandas\u8bfb\u53d6XML\u6587\u4ef6<\/h3>\n<\/p>\n
Pandas\u5e93\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6XML\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6XML\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_xml('your_file.xml')<\/p>\n
\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pd.read_xml<\/code>\u51fd\u6570\u8bfb\u53d6\u540d\u4e3ayour_file.xml<\/code>\u7684XML\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame\u5bf9\u8c61df<\/code>\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528df.head()<\/code>\u51fd\u6570\u67e5\u770b\u8bfb\u53d6\u5230\u7684\u6570\u636e\u7684\u524d\u4e94\u884c\u3002<\/p>\n<\/p>\n
\u516d\u3001\u8bfb\u53d6HTML\u6587\u4ef6<\/p>\n<\/p>\n
HTML\uff08HyperText Markup Language\uff09\u662f\u6784\u5efa\u7f51\u9875\u7684\u6807\u51c6\u6807\u8bb0\u8bed\u8a00\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5de5\u5177\u6765\u8bfb\u53d6\u548c\u89e3\u6790HTML\u6587\u4ef6\uff0c\u5982BeautifulSoup<\/code>\u5e93\u548cPandas\u5e93\u3002<\/p>\n<\/p>\n
\u4f7f\u7528BeautifulSoup\u8bfb\u53d6HTML\u6587\u4ef6<\/h3>\n<\/p>\n
BeautifulSoup<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u89e3\u6790HTML\u548cXML\u6587\u4ef6\u7684Python\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from bs4 import BeautifulSoup<\/p>\n
\u6253\u5f00\u5e76\u8bfb\u53d6HTML\u6587\u4ef6<\/strong><\/h2>\n
with open('your_file.html', 'r') as file:<\/p>\n
    content = file.read()<\/p>\n
\u89e3\u6790HTML\u6587\u4ef6<\/strong><\/h2>\n
soup = BeautifulSoup(content, 'html.parser')<\/p>\n
\u6253\u5370HTML\u5185\u5bb9<\/strong><\/h2>\n
print(soup.prettify())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with<\/code>\u8bed\u53e5\u6253\u5f00\u540d\u4e3ayour_file.html<\/code>\u7684HTML\u6587\u4ef6\uff0c\u5e76\u8bfb\u53d6\u5176\u5185\u5bb9\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528BeautifulSoup<\/code>\u5e93\u89e3\u6790HTML\u5185\u5bb9\uff0c\u5e76\u6253\u5370\u51fa\u683c\u5f0f\u5316\u540e\u7684HTML\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u4f7f\u7528Pandas\u8bfb\u53d6HTML\u6587\u4ef6<\/h3>\n<\/p>\n
Pandas\u5e93\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6HTML\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6HTML\u6587\u4ef6\u4e2d\u7684\u8868\u683c<\/strong><\/h2>\n
df_list = pd.read_html('your_file.html')<\/p>\n
\u67e5\u770b\u7b2c\u4e00\u4e2a\u8868\u683c\u7684\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
print(df_list[0].head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pd.read_html<\/code>\u51fd\u6570\u8bfb\u53d6\u540d\u4e3ayour_file.html<\/code>\u7684HTML\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u8868\u683c\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868df_list<\/code>\u4e2d\u3002\u7136\u540e\uff0c\u6211\u4eec\u67e5\u770b\u7b2c\u4e00\u4e2a\u8868\u683c\u7684\u524d\u4e94\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u8bfb\u53d6PDF\u6587\u4ef6<\/p>\n<\/p>\n
PDF\uff08Portable Document Format\uff09\u662f\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u7528\u4e8e\u8868\u793a\u6587\u6863\u3002\u8bfb\u53d6PDF\u6587\u4ef6\u901a\u5e38\u9700\u8981\u4f7f\u7528\u4e13\u95e8\u7684\u5e93\uff0c\u5982PyPDF2<\/code>\u6216pdfplumber<\/code>\u3002<\/p>\n<\/p>\n
\u4f7f\u7528PyPDF2\u8bfb\u53d6PDF\u6587\u4ef6<\/h3>\n<\/p>\n
PyPDF2<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u64cd\u4f5cPDF\u6587\u4ef6\u7684Python\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import PyPDF2<\/p>\n
\u6253\u5f00PDF\u6587\u4ef6<\/strong><\/h2>\n
with open('your_file.pdf', 'rb') as file:<\/p>\n
    reader = PyPDF2.PdfFileReader(file)<\/p>\n
    num_pages = reader.numPages<\/p>\n
    # \u8bfb\u53d6\u6bcf\u4e00\u9875\u7684\u5185\u5bb9<\/p>\n
    for page_num in range(num_pages):<\/p>\n
        page = reader.getPage(page_num)<\/p>\n
        text = page.extract_text()<\/p>\n
        print(text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with<\/code>\u8bed\u53e5\u4ee5\u4e8c\u8fdb\u5236\u6a21\u5f0f\uff08'rb'\uff09\u6253\u5f00\u540d\u4e3ayour_file.pdf<\/code>\u7684PDF\u6587\u4ef6\uff0c\u5e76\u521b\u5efa\u4e00\u4e2aPdfFileReader<\/code>\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u6bcf\u4e00\u9875\uff0c\u5e76\u4f7f\u7528extract_text()<\/code>\u51fd\u6570\u63d0\u53d6\u6bcf\u4e00\u9875\u7684\u6587\u672c\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u4f7f\u7528pdfplumber\u8bfb\u53d6PDF\u6587\u4ef6<\/h3>\n<\/p>\n
pdfplumber<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684PDF\u89e3\u6790\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u63d0\u53d6\u8868\u683c\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pdfplumber<\/p>\n
\u6253\u5f00PDF\u6587\u4ef6<\/strong><\/h2>\n
with pdfplumber.open('your_file.pdf') as pdf:<\/p>\n
    for page in pdf.pages:<\/p>\n
        text = page.extract_text()<\/p>\n
        print(text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pdfplumber.open<\/code>\u51fd\u6570\u6253\u5f00\u540d\u4e3ayour_file.pdf<\/code>\u7684PDF\u6587\u4ef6\uff0c\u5e76\u904d\u5386\u6bcf\u4e00\u9875\uff0c\u4f7f\u7528extract_text()<\/code>\u51fd\u6570\u63d0\u53d6\u6bcf\u4e00\u9875\u7684\u6587\u672c\u5185\u5bb9\u3002<\/p>\n<\/p>\n
\u516b\u3001\u8bfb\u53d6\u6570\u636e\u5e93\u6570\u636e<\/p>\n<\/p>\n
\u9664\u4e86\u8bfb\u53d6\u6587\u4ef6\uff0cPython\u8fd8\u53ef\u4ee5\u901a\u8fc7\u8fde\u63a5\u6570\u636e\u5e93\u6765\u8bfb\u53d6\u6570\u636e\u3002\u5e38\u89c1\u7684\u6570\u636e\u5e93\u7c7b\u578b\u5305\u62ecSQLite\u3001MySQL\u3001PostgreSQL\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528sqlite3<\/code>\u5e93\u6216SQLAlchemy\u5e93\u8fde\u63a5\u548c\u8bfb\u53d6\u6570\u636e\u5e93\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4f7f\u7528sqlite3\u8bfb\u53d6SQLite\u6570\u636e\u5e93\u6570\u636e<\/h3>\n<\/p>\n
sqlite3<\/code>\u662fPython\u5185\u7f6e\u7684SQLite\u6570\u636e\u5e93\u63a5\u53e3\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93<\/strong><\/h2>\n
conn = sqlite3.connect('your_database.db')<\/p>\n
\u521b\u5efa\u6e38\u6807<\/strong><\/h2>\n
cursor = conn.cursor()<\/p>\n
\u6267\u884cSQL\u67e5\u8be2<\/strong><\/h2>\n
cursor.execute('SELECT * FROM your_table')<\/p>\n
\u83b7\u53d6\u67e5\u8be2\u7ed3\u679c<\/strong><\/h2>\n
rows = cursor.fetchall()<\/p>\n
\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
conn.close()<\/p>\n
\u6253\u5370\u67e5\u8be2\u7ed3\u679c<\/strong><\/h2>\n
for row in rows:<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528sqlite3.connect<\/code>\u51fd\u6570\u8fde\u63a5\u5230\u540d\u4e3ayour_database.db<\/code>\u7684SQLite\u6570\u636e\u5e93\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u6e38\u6807cursor<\/code>\u3002\u7136\u540e\uff0c\u6211\u4eec\u6267\u884c\u4e00\u4e2aSQL\u67e5\u8be2\uff0c\u5e76\u4f7f\u7528fetchall()<\/code>\u51fd\u6570\u83b7\u53d6\u67e5\u8be2\u7ed3\u679c\u3002\u6700\u540e\uff0c\u6211\u4eec\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u5e76\u6253\u5370\u67e5\u8be2\u7ed3\u679c\u3002<\/p>\n<\/p>\n
\u4f7f\u7528SQLAlchemy\u8bfb\u53d6\u6570\u636e\u5e93\u6570\u636e<\/h3>\n<\/p>\n
SQLAlchemy\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684Python SQL\u5de5\u5177\u5305\u548cORM\uff08\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff09\u5e93\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u5e93\u7c7b\u578b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\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:\/\/\/your_database.db')<\/p>\n
\u6267\u884cSQL\u67e5\u8be2\u5e76\u8bfb\u53d6\u6570\u636e\u5230DataFrame<\/strong><\/h2>\n
df = pd.read_sql('SELECT * FROM your_table', engine)<\/p>\n
\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528create_engine<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u5e93\u8fde\u63a5\uff0c\u5e76\u4f7f\u7528pd.read_sql<\/code>\u51fd\u6570\u6267\u884cSQL\u67e5\u8be2\uff0c\u5c06\u67e5\u8be2\u7ed3\u679c\u8bfb\u53d6\u5230\u4e00\u4e2aDataFrame\u5bf9\u8c61df<\/code>\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u67e5\u770b\u524d\u4e94\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/p>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5c06\u6587\u6863\u653e\u8fdb\u7a0b\u5e8f\u4e2d\u8fdb\u884c\u5904\u7406\u3002\u4f7f\u7528Pandas\u5e93\u3001open()\u51fd\u6570\u3001json\u5e93\u3001BeautifulSoup\u5e93\u3001PyPDF2\u5e93\u3001pdfplumber\u5e93\u3001sqlite3\u5e93\u548cSQLAlchemy\u5e93<\/strong>\u90fd\u662f\u5e38\u89c1\u4e14\u9ad8\u6548\u7684\u9009\u62e9\u3002\u8fd9\u4e9b\u65b9\u6cd5\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6\u4e0d\u540c\u7c7b\u578b\u7684\u6587\u4ef6\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u5bf9\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u5206\u6790\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u6587\u6863\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u6587\u6863\u3002\u4f8b\u5982\uff0c\u4f7f\u7528pandas<\/code>\u5e93\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\uff0cPyPDF2<\/code>\u6216pdfplumber<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6PDF\u6587\u4ef6\uff0c\u800cpython-docx<\/code>\u5219\u9002\u7528\u4e8eWord\u6587\u6863\u3002\u6839\u636e\u6587\u6863\u7684\u683c\u5f0f\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u5e76\u4f7f\u7528\u76f8\u5e94\u7684\u51fd\u6570\u6765\u52a0\u8f7d\u548c\u5904\u7406\u6570\u636e\u3002<\/p>\n
\u5982\u4f55\u5c06\u6587\u6863\u5185\u5bb9\u8f6c\u6362\u4e3a\u53ef\u5206\u6790\u7684\u683c\u5f0f\uff1f<\/strong>
\u4e3a\u4e86\u5c06\u6587\u6863\u5185\u5bb9\u8f6c\u6362\u4e3a\u53ef\u5206\u6790\u7684\u683c\u5f0f\uff0c\u9996\u5148\u9700\u8981\u8bfb\u53d6\u6587\u6863\u5e76\u63d0\u53d6\u6587\u672c\u3002\u5bf9\u4e8e\u6587\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6\u5e76\u8fdb\u884c\u5904\u7406\uff1b\u5bf9\u4e8ePDF\u548cWord\u6587\u6863\uff0c\u53ef\u4ee5\u4f7f\u7528\u76f8\u5e94\u7684\u5e93\u63d0\u53d6\u6587\u672c\u540e\uff0c\u5c06\u5176\u8f6c\u6362\u4e3a\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5982\u5217\u8868\u6216\u5b57\u5178\u3002\u63a5\u4e0b\u6765\uff0c\u53ef\u4ee5\u5229\u7528pandas<\/code>\u5c06\u6570\u636e\u6846\u67b6\u5316\uff0c\u4ee5\u4fbf\u8fdb\u884c\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n
Python\u4e2d\u5982\u4f55\u5904\u7406\u6587\u6863\u4e2d\u7684\u56fe\u7247\u548c\u8868\u683c\uff1f<\/strong>
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