{"id":1010717,"date":"2024-12-27T11:23:41","date_gmt":"2024-12-27T03:23:41","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1010717.html"},"modified":"2024-12-27T11:23:43","modified_gmt":"2024-12-27T03:23:43","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%af%bc%e5%87%ba%e7%bb%93%e6%9e%9c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1010717.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u5bfc\u51fa\u7ed3\u679c"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u5bfc\u51fa\u7ed3\u679c\"<\/p>\n

\u5728Python\u4e2d\u5bfc\u51fa\u7ed3\u679c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5305\u62ec\u5199\u5165\u6587\u4ef6\u3001\u4fdd\u5b58\u4e3aCSV\u3001\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\u3001\u751f\u6210\u56fe\u50cf\u6216\u56fe\u8868\u3001\u5bfc\u51fa\u5230Excel<\/strong>\u7b49\u3002\u5177\u4f53\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\u53d6\u51b3\u4e8e\u60a8\u7684\u6570\u636e\u7c7b\u578b\u548c\u6700\u7ec8\u7528\u9014\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u5e76\u5bf9\u5176\u4e2d\u4e00\u79cd\u8fdb\u884c\u5c55\u5f00\u3002<\/p>\n<\/p>\n

\u5199\u5165\u6587\u4ef6<\/strong>\u662f\u6700\u57fa\u672c\u7684\u5bfc\u51fa\u65b9\u5f0f\u4e4b\u4e00\u3002\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570open()\u6765\u521b\u5efa\u6587\u4ef6\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528write()\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u4e2d\u3002\u8fd9\u6837\u505a\u7684\u597d\u5904\u662f\u7b80\u5355\u76f4\u63a5\uff0c\u9002\u5408\u5b58\u50a8\u6587\u672c\u6570\u636e\u6216\u65e5\u5fd7\u4fe1\u606f\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5f53\u5199\u5165\u5927\u578b\u6587\u4ef6\u65f6\uff0c\u5e94\u8003\u8651\u5206\u6279\u5199\u5165\u4ee5\u8282\u7701\u5185\u5b58\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5199\u5165\u6587\u4ef6<\/h3>\n<\/p>\n

\u5199\u5165\u6587\u4ef6\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u5bfc\u51fa\u7ed3\u679c\u7684\u65b9\u6cd5\u4e4b\u4e00\u3002\u5b83\u53ef\u4ee5\u7528\u4e8e\u4fdd\u5b58\u6587\u672c\u6570\u636e\u3001\u65e5\u5fd7\u4fe1\u606f\u6216\u5176\u4ed6\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u4ecb\u7ecd\uff1a<\/p>\n<\/p>\n

1.1 \u4f7f\u7528open()\u548cwrite()\u65b9\u6cd5<\/h4>\n<\/p>\n

Python\u7684open()\u51fd\u6570\u7528\u4e8e\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\uff0c\u8fd4\u56de\u6587\u4ef6\u5bf9\u8c61\uff0c\u7136\u540e\u53ef\u4ee5\u4f7f\u7528write()\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n

# \u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\uff0c\u5e76\u5199\u5165\u6570\u636e<\/p>\n
with open('output.txt', 'w') as file:<\/p>\n
    file.write('Hello, World!\\n')<\/p>\n
    file.write('This is a test file.\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u4f7f\u7528\u4e86with<\/code>\u8bed\u53e5\u6765\u7ba1\u7406\u6587\u4ef6\u4e0a\u4e0b\u6587\uff0c\u8fd9\u6837\u53ef\u4ee5\u81ea\u52a8\u5904\u7406\u6587\u4ef6\u7684\u5173\u95ed\u64cd\u4f5c\u3002\u5f53\u6587\u4ef6\u4ee5'w'\u6a21\u5f0f\u6253\u5f00\u65f6\uff0c\u5b83\u5c06\u88ab\u5199\u5165\uff08\u5982\u679c\u6587\u4ef6\u4e0d\u5b58\u5728\uff0c\u5c06\u521b\u5efa\u8be5\u6587\u4ef6\uff1b\u5982\u679c\u6587\u4ef6\u5b58\u5728\uff0c\u5c06\u8986\u76d6\u5b83\uff09\u3002<\/p>\n<\/p>\n
1.2 \u5904\u7406\u5927\u6587\u4ef6<\/h4>\n<\/p>\n
\u5f53\u9700\u8981\u5199\u5165\u5927\u578b\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u5206\u6279\u5199\u5165\u4ee5\u8282\u7701\u5185\u5b58\u3002\u8fd9\u53ef\u4ee5\u901a\u8fc7\u5728\u5faa\u73af\u4e2d\u591a\u6b21\u8c03\u7528write()\u65b9\u6cd5\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
# \u5199\u5165\u5927\u6587\u4ef6<\/p>\n
large_data = ['Line {}\\n'.format(i) for i in range(1000000)]<\/p>\n
with open('large_output.txt', 'w') as file:<\/p>\n
    for line in large_data:<\/p>\n
        file.write(line)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5199\u5165\u5927\u6587\u4ef6\u800c\u4e0d\u5360\u7528\u8fc7\u591a\u7684\u5185\u5b58\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4fdd\u5b58\u4e3aCSV<\/h3>\n<\/p>\n
CSV\uff08Comma Separated Values\uff09\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6570\u636e\u683c\u5f0f\uff0c\u7279\u522b\u9002\u7528\u4e8e\u8868\u683c\u6570\u636e\u3002Python\u63d0\u4f9b\u4e86csv\u6a21\u5757\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2.1 \u4f7f\u7528csv\u6a21\u5757<\/h4>\n<\/p>\n
\u4f7f\u7528csv\u6a21\u5757\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5217\u8868\u6216\u5b57\u5178\u5bfc\u51fa\u4e3aCSV\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
data = [<\/p>\n
    ['Name', 'Age', 'City'],<\/p>\n
    ['Alice', 30, 'New York'],<\/p>\n
    ['Bob', 25, 'San Francisco'],<\/p>\n
    ['Charlie', 35, 'Los Angeles']<\/p>\n
]<\/p>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cwriterows()\u65b9\u6cd5\u7528\u4e8e\u5c06\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2.2 \u4f7f\u7528pandas\u5e93<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u66f4\u590d\u6742\u7684CSV\u64cd\u4f5c\uff0cpandas\u5e93\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
df = pd.DataFrame(data[1:], columns=data[0])<\/p>\n
df.to_csv('output_pandas.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
pandas\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\uff0c\u5e76\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u957f\u671f\u5b58\u50a8\u548c\u67e5\u8be2\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u9009\u62e9\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d\u3002<\/p>\n<\/p>\n
3.1 \u4f7f\u7528sqlite3\u6a21\u5757<\/h4>\n<\/p>\n
Python\u5185\u7f6e\u7684sqlite3\u6a21\u5757\u53ef\u4ee5\u7528\u4e8e\u64cd\u4f5cSQLite\u6570\u636e\u5e93\uff0c\u9002\u5408\u5c0f\u578b\u5e94\u7528\uff1a<\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
conn = sqlite3.connect('example.db')<\/p>\n
cursor = conn.cursor()<\/p>\n
\u521b\u5efa\u8868<\/strong><\/h2>\n
cursor.execute('''CREATE TABLE IF NOT EXISTS users<\/p>\n
                  (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)''')<\/p>\n
\u63d2\u5165\u6570\u636e<\/strong><\/h2>\n
users = [(1, 'Alice', 30), (2, 'Bob', 25), (3, 'Charlie', 35)]<\/p>\n
cursor.executemany('INSERT INTO users VALUES (?, ?, ?)', users)<\/p>\n
\u63d0\u4ea4\u4e8b\u52a1<\/strong><\/h2>\n
conn.commit()<\/p>\n
\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u4f7f\u7528\u4e86executemany()\u65b9\u6cd5\u6279\u91cf\u63d2\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
3.2 \u4f7f\u7528SQLAlchemy<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u6570\u636e\u5e93\u64cd\u4f5c\uff0c\u53ef\u4ee5\u4f7f\u7528SQLAlchemy\u5e93\uff0c\u5b83\u652f\u6301\u591a\u79cd\u6570\u636e\u5e93\u7c7b\u578b\uff1a<\/p>\n<\/p>\n
from sqlalchemy import create_engine<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u5f15\u64ce<\/strong><\/h2>\n
engine = create_engine('sqlite:\/\/\/example_sqlalchemy.db')<\/p>\n
\u5c06DataFrame\u5bfc\u51fa\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
df.to_sql('users', engine, if_exists='replace', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
SQLAlchemy\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684ORM\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u590d\u6742\u7684\u6570\u636e\u5e93\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u751f\u6210\u56fe\u50cf\u6216\u56fe\u8868<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u53ef\u89c6\u5316\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u9009\u62e9\u751f\u6210\u56fe\u50cf\u6216\u56fe\u8868\u3002<\/p>\n<\/p>\n
4.1 \u4f7f\u7528matplotlib\u5e93<\/h4>\n<\/p>\n
matplotlib\u662fPython\u4e2d\u6700\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u53ef\u4ee5\u7528\u4e8e\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4, 5]<\/p>\n
y = [10, 20, 25, 30, 35]<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xlabel('X-axis')<\/p>\n
plt.ylabel('Y-axis')<\/p>\n
plt.title('Simple Line Plot')<\/p>\n
plt.savefig('plot.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u4f7f\u7528\u4e86savefig()\u65b9\u6cd5\u5c06\u56fe\u8868\u4fdd\u5b58\u4e3aPNG\u683c\u5f0f\u3002<\/p>\n<\/p>\n
4.2 \u4f7f\u7528seaborn\u5e93<\/h4>\n<\/p>\n
seaborn\u5e93\u57fa\u4e8ematplotlib\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u56fe\u8868\u7ed8\u5236\u529f\u80fd\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
sns.set(style="darkgrid")<\/p>\n
tips = sns.load_dataset("tips")<\/p>\n
sns_plot = sns.scatterplot(x="total_bill", y="tip", data=tips)<\/p>\n
sns_plot.figure.savefig("scatterplot.png")<\/p>\n
<\/code><\/pre>\n<\/p>\n
seaborn\u63d0\u4f9b\u4e86\u66f4\u4e30\u5bcc\u7684\u56fe\u8868\u6837\u5f0f\u548c\u914d\u8272\u65b9\u6848\uff0c\u9002\u5408\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u62a5\u544a\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5bfc\u51fa\u5230Excel<\/h3>\n<\/p>\n
Excel\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6570\u636e\u5b58\u50a8\u683c\u5f0f\uff0c\u9002\u5408\u7528\u4e8e\u5546\u4e1a\u62a5\u544a\u548c\u6570\u636e\u5171\u4eab\u3002\u53ef\u4ee5\u4f7f\u7528openpyxl\u6216pandas\u5e93\u5c06\u6570\u636e\u5bfc\u51fa\u5230Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
5.1 \u4f7f\u7528openpyxl\u5e93<\/h4>\n<\/p>\n
openpyxl\u662f\u4e00\u4e2a\u7528\u4e8e\u64cd\u4f5cExcel\u6587\u4ef6\u7684Python\u5e93\uff0c\u652f\u6301\u8bfb\u53d6\u548c\u5199\u5165Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
\u521b\u5efa\u65b0\u7684Excel\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
ws.append(['Name', 'Age', 'City'])<\/p>\n
ws.append(['Alice', 30, 'New York'])<\/p>\n
ws.append(['Bob', 25, 'San Francisco'])<\/p>\n
ws.append(['Charlie', 35, 'Los Angeles'])<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('output.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
openpyxl\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684Excel\u64cd\u4f5c\u529f\u80fd\uff0c\u5305\u62ec\u683c\u5f0f\u8bbe\u7f6e\u3001\u516c\u5f0f\u652f\u6301\u7b49\u3002<\/p>\n<\/p>\n
5.2 \u4f7f\u7528pandas\u5e93<\/h4>\n<\/p>\n
pandas\u5e93\u540c\u6837\u652f\u6301\u5bfc\u51fa\u5230Excel\uff0c\u5e76\u4e14\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\uff1a<\/p>\n<\/p>\n
df.to_excel('output_pandas.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
pandas\u7684to_excel()\u65b9\u6cd5\u53ef\u4ee5\u5feb\u901f\u5730\u5c06DataFrame\u5bfc\u51fa\u5230Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u603b\u7ed3\u8d77\u6765\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u5bfc\u51fa\u7ed3\u679c\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u5199\u5165\u6587\u4ef6\u3001\u4fdd\u5b58\u4e3aCSV\u3001\u5b58\u50a8\u5230\u6570\u636e\u5e93\u3001\u751f\u6210\u56fe\u50cf\u6216\u56fe\u8868\u3001\u5bfc\u51fa\u5230Excel\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u52bf\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u5bfc\u51fa\u6570\u636e\u3002\u901a\u8fc7\u719f\u7ec3\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u60a8\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u7ba1\u7406\u548c\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5c06Python\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\uff1f<\/strong>
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