{"id":1046969,"date":"2024-12-31T13:38:28","date_gmt":"2024-12-31T05:38:28","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1046969.html"},"modified":"2024-12-31T13:38:31","modified_gmt":"2024-12-31T05:38:31","slug":"python%e5%a6%82%e4%bd%95%e8%87%aa%e5%8a%a8%e5%bd%95%e5%85%a5%e5%ad%a6%e7%94%9f%e6%88%90%e7%bb%a9","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1046969.html","title":{"rendered":"python\u5982\u4f55\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9"},"content":{"rendered":"

\"python\u5982\u4f55\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\"<\/p>\n

Python\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5982\u4f7f\u7528CSV\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001Excel\u8868\u683c\u7b49\u3002\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u5305\u62ec\uff1a\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528SQLite\u6570\u636e\u5e93\u3001\u4f7f\u7528openpyxl\u5e93\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u51e0\u79cd\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4ee3\u7801\u793a\u4f8b\uff0c\u5e2e\u52a9\u8bfb\u8005\u5feb\u901f\u638c\u63e1Python\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\u7684\u6280\u5de7\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pandas\u5e93<\/p>\n<\/p>\n

Pandas\u5e93\u662fPython\u4e2d\u5e38\u7528\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u7279\u522b\u9002\u5408\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\uff0c\u8f7b\u677e\u7ba1\u7406\u5b66\u751f\u6210\u7ee9\u6570\u636e\u3002<\/p>\n<\/p>\n

1.1 \u5b89\u88c5Pandas\u5e93<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5Pandas\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2 \u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('students_scores.csv')<\/p>\n
\u663e\u793a\u6570\u636e<\/strong><\/h2>\n
print(df)<\/p>\n
\u6dfb\u52a0\u65b0\u7684\u5b66\u751f\u6210\u7ee9<\/strong><\/h2>\n
new_data = {<\/p>\n
    'Name': 'John Doe',<\/p>\n
    'Math': 85,<\/p>\n
    'Science': 90,<\/p>\n
    'English': 88<\/p>\n
}<\/p>\n
df = df.append(new_data, ignore_index=True)<\/p>\n
\u4fdd\u5b58\u66f4\u65b0\u540e\u7684\u6570\u636e\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('students_scores.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.3 \u5904\u7406\u6570\u636e<\/h3>\n<\/p>\n
Pandas\u5e93\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5982\u7b5b\u9009\u3001\u6392\u5e8f\u3001\u5206\u7ec4\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
# \u7b5b\u9009\u6570\u5b66\u6210\u7ee9\u5927\u4e8e80\u7684\u5b66\u751f<\/p>\n
high_math_scores = df[df['Math'] > 80]<\/p>\n
\u6309\u7167\u79d1\u5b66\u6210\u7ee9\u6392\u5e8f<\/strong><\/h2>\n
sorted_by_science = df.sort_values(by='Science', ascending=False)<\/p>\n
\u6309\u7167\u82f1\u8bed\u6210\u7ee9\u5206\u7ec4<\/strong><\/h2>\n
grouped_by_english = df.groupby('English').mean()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001SQLite\u6570\u636e\u5e93<\/p>\n<\/p>\n
SQLite\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u5173\u7cfb\u578b\u6570\u636e\u5e93\uff0c\u9002\u5408\u5b58\u50a8\u548c\u7ba1\u7406\u5c0f\u578b\u6570\u636e\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528SQLite\u6570\u636e\u5e93\u5b58\u50a8\u5b66\u751f\u6210\u7ee9\u6570\u636e\uff0c\u5e76\u4f7f\u7528SQLAlchemy\u5e93\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
2.1 \u5b89\u88c5SQLAlchemy\u5e93<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5SQLAlchemy\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install sqlalchemy<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2 \u521b\u5efa\u6570\u636e\u5e93\u548c\u8868<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528SQLAlchemy\u5e93\u521b\u5efa\u6570\u636e\u5e93\u548c\u8868\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from sqlalchemy import create_engine, Column, Integer, String, Float<\/p>\n
from sqlalchemy.ext.declarative import declarative_base<\/p>\n
from sqlalchemy.orm import sessionmaker<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u5f15\u64ce<\/strong><\/h2>\n
engine = create_engine('sqlite:\/\/\/students_scores.db')<\/p>\n
Base = declarative_base()<\/p>\n
\u5b9a\u4e49\u5b66\u751f\u6210\u7ee9\u8868<\/strong><\/h2>\n
class StudentScore(Base):<\/p>\n
    __tablename__ = 'students_scores'<\/p>\n
    id = Column(Integer, primary_key=True, autoincrement=True)<\/p>\n
    name = Column(String)<\/p>\n
    math = Column(Float)<\/p>\n
    science = Column(Float)<\/p>\n
    english = Column(Float)<\/p>\n
\u521b\u5efa\u8868<\/strong><\/h2>\n
Base.metadata.create_all(engine)<\/p>\n
\u521b\u5efa\u4f1a\u8bdd<\/strong><\/h2>\n
Session = sessionmaker(bind=engine)<\/p>\n
session = Session()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.3 \u63d2\u5165\u548c\u67e5\u8be2\u6570\u636e<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u63d2\u5165\u548c\u67e5\u8be2\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u63d2\u5165\u65b0\u7684\u5b66\u751f\u6210\u7ee9<\/p>\n
new_student = StudentScore(name='John Doe', math=85, science=90, english=88)<\/p>\n
session.add(new_student)<\/p>\n
session.commit()<\/p>\n
\u67e5\u8be2\u6240\u6709\u5b66\u751f\u6210\u7ee9<\/strong><\/h2>\n
students = session.query(StudentScore).all()<\/p>\n
for student in students:<\/p>\n
    print(f'Name: {student.name}, Math: {student.math}, Science: {student.science}, English: {student.english}')<\/p>\n
\u67e5\u8be2\u6570\u5b66\u6210\u7ee9\u5927\u4e8e80\u7684\u5b66\u751f<\/strong><\/h2>\n
high_math_scores = session.query(StudentScore).filter(StudentScore.math > 80).all()<\/p>\n
for student in high_math_scores:<\/p>\n
    print(f'Name: {student.name}, Math: {student.math}')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001openpyxl\u5e93<\/p>\n<\/p>\n
openpyxl\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\u7684\u5e93\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u7ba1\u7406\u5b66\u751f\u6210\u7ee9\u6570\u636e\u3002<\/p>\n<\/p>\n
3.1 \u5b89\u88c5openpyxl\u5e93<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5openpyxl\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2 \u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import openpyxl<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = openpyxl.load_workbook('students_scores.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
\u663e\u793a\u6570\u636e<\/strong><\/h2>\n
for row in sheet.iter_rows(values_only=True):<\/p>\n
    print(row)<\/p>\n
\u6dfb\u52a0\u65b0\u7684\u5b66\u751f\u6210\u7ee9<\/strong><\/h2>\n
new_data = ['John Doe', 85, 90, 88]<\/p>\n
sheet.append(new_data)<\/p>\n
\u4fdd\u5b58\u66f4\u65b0\u540e\u7684\u6570\u636e\u5230Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook.save('students_scores.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.3 \u5904\u7406\u6570\u636e<\/h3>\n<\/p>\n
openpyxl\u5e93\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5982\u7b5b\u9009\u3001\u6392\u5e8f\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
# \u7b5b\u9009\u6570\u5b66\u6210\u7ee9\u5927\u4e8e80\u7684\u5b66\u751f<\/p>\n
for row in sheet.iter_rows(min_row=2, values_only=True):<\/p>\n
    if row[1] > 80:<\/p>\n
        print(row)<\/p>\n
\u6309\u7167\u79d1\u5b66\u6210\u7ee9\u6392\u5e8f<\/strong><\/h2>\n
data = list(sheet.iter_rows(min_row=2, values_only=True))<\/p>\n
sorted_data = sorted(data, key=lambda x: x[2], reverse=True)<\/p>\n
for row in sorted_data:<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4e09\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0Python\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\u7684\u529f\u80fd\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\u3002Pandas\u5e93\u9002\u5408\u5904\u7406CSV\u6587\u4ef6\u548c\u8868\u683c\u6570\u636e\uff0cSQLite\u6570\u636e\u5e93\u9002\u5408\u7ba1\u7406\u5c0f\u578b\u6570\u636e\uff0copenpyxl\u5e93\u9002\u5408\u5904\u7406Excel\u6587\u4ef6\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff0c\u795d\u60a8\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u53d6\u5f97\u6210\u529f\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\uff1f<\/strong>
Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u548c\u5de5\u5177\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\u3002\u901a\u5e38\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u5904\u7406\u6570\u636e\u6587\u4ef6\uff0c\u5982Excel\u6216CSV\u683c\u5f0f\u3002\u901a\u8fc7\u7f16\u5199\u7b80\u5355\u7684\u811a\u672c\uff0c\u53ef\u4ee5\u4ece\u8fd9\u4e9b\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u5c06\u5176\u5f55\u5165\u6570\u636e\u5e93\u6216\u5176\u4ed6\u7cfb\u7edf\u3002\u6b64\u5916\uff0copenpyxl<\/code>\u5e93\u53ef\u4ee5\u76f4\u63a5\u64cd\u4f5cExcel\u6587\u4ef6\uff0c\u9002\u5408\u9700\u8981\u9891\u7e41\u66f4\u65b0\u6210\u7ee9\u7684\u573a\u666f\u3002<\/p>\n
\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\u9700\u8981\u54ea\u4e9b\u524d\u7f6e\u77e5\u8bc6\uff1f<\/strong>
\u4e86\u89e3Python\u7684\u57fa\u7840\u77e5\u8bc6\u662f\u5fc5\u8981\u7684\uff0c\u5305\u62ec\u53d8\u91cf\u3001\u6570\u636e\u7c7b\u578b\u3001\u63a7\u5236\u7ed3\u6784\u7b49\u3002\u6b64\u5916\uff0c\u719f\u6089\u5982\u4f55\u4f7f\u7528pandas<\/code>\u548copenpyxl<\/code>\u7b49\u5e93\u5c06\u5927\u5927\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u5bf9\u4e8e\u6570\u636e\u5e93\u64cd\u4f5c\uff0c\u5b66\u4e60\u4e00\u4e9b\u57fa\u672c\u7684SQL\u8bed\u53e5\u4e5f\u4f1a\u5bf9\u6210\u7ee9\u5f55\u5165\u8fc7\u7a0b\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n
\u5982\u4f55\u786e\u4fdd\u5f55\u5165\u7684\u5b66\u751f\u6210\u7ee9\u6570\u636e\u51c6\u786e\u65e0\u8bef\uff1f<\/strong>
\u4e3a\u4e86\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\uff0c\u53ef\u4ee5\u5728\u5f55\u5165\u8fc7\u7a0b\u4e2d\u6dfb\u52a0\u6570\u636e\u9a8c\u8bc1\u6b65\u9aa4\uff0c\u4f8b\u5982\u68c0\u67e5\u6210\u7ee9\u662f\u5426\u5728\u5408\u7406\u8303\u56f4\u5185\u3002\u6b64\u5916\uff0c\u4f7f\u7528try...except<\/code>\u7ed3\u6784\u5904\u7406\u5f02\u5e38\u60c5\u51b5\uff0c\u53ef\u4ee5\u9632\u6b62\u56e0\u8f93\u5165\u9519\u8bef\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\u3002\u5728\u6570\u636e\u5f55\u5165\u5b8c\u6210\u540e\uff0c\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u91cd\u590d\u68c0\u67e5\u4e5f\u662f\u786e\u4fdd\u6570\u636e\u8d28\u91cf\u7684\u91cd\u8981\u73af\u8282\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u81ea\u52a8\u5f55\u5165\u5b66\u751f\u6210\u7ee9\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5982\u4f7f\u7528CSV\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001Excel\u8868\u683c\u7b49\u3002\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u5305\u62ec\uff1a\u4f7f\u7528P […]","protected":false},"author":3,"featured_media":1046978,"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\/1046969"}],"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=1046969"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1046969\/revisions"}],"predecessor-version":[{"id":1046982,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1046969\/revisions\/1046982"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1046978"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1046969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1046969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1046969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}