update

2025.08.26_data_file_format/CSV_example.py

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+import csv
+
+# 写入 CSV
+with open('data.csv', 'w', newline='', encoding='utf-8') as f:
+    writer = csv.writer(f)
+    writer.writerow(['Name', 'year', 'value']) # 写入表头
+    writer.writerow(['Guan', 1993, 1])
+    writer.writerow(['G123', 2025, 0])
+
+# 读取 CSV
+with open('data.csv', 'r', encoding='utf-8') as f:
+    reader = csv.reader(f)
+    for row in reader:
+        print(row) # 每行是一个列表

2025.08.26_data_file_format/HDF5_example.py

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+import h5py
+import numpy as np
+
+# 写入数据
+with h5py.File('data.h5', 'w') as f:
+    f.create_dataset('array', data=np.random.rand(3, 3))
+    f.attrs['info'] = '3x3随机矩阵'
+
+# 读取数据
+with h5py.File('data.h5', 'r') as f:
+    array_data = f['array'][:]
+    info = f.attrs['info']
+    
+print('数组数据:')
+print(array_data)
+print('信息:', info)

2025.08.26_data_file_format/JSON_example.py

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+import json
+
+data = {
+    "name": "Guan",
+    "year": 1993,
+    "hobbies": ["coding", "reading"],
+}
+
+# 写入
+with open('data.json', 'w', encoding='utf-8') as f:
+    json.dump(data, f, indent=4) # indent 使输出格式化，更易读
+
+# 读取
+with open('data.json', 'r', encoding='utf-8') as f:
+    loaded_data = json.load(f)
+    print(loaded_data)
+    print(loaded_data['name'])

2025.08.26_data_file_format/Pickle_example.py

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+import pickle
+
+data = [1, 2, 3]
+
+# 写入
+with open('data.pkl', 'wb') as f: # 注意是 'wb' 二进制写入
+    pickle.dump(data, f)
+
+# 读取
+with open('data.pkl', 'rb') as f: # 注意是 'rb' 二进制读取
+    loaded_data = pickle.load(f)
+    print(loaded_data)

2025.08.26_data_file_format/SQLite_example.py

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+import sqlite3
+
+# 1. 连接数据库（自动创建）
+conn = sqlite3.connect('data.db')
+cursor = conn.cursor()
+
+# 2. 创建表
+cursor.execute('CREATE TABLE IF NOT EXISTS users (name TEXT, age INTEGER)')
+
+# 3. 插入数据
+cursor.execute("INSERT INTO users VALUES ('张三', 25)")
+cursor.execute("INSERT INTO users VALUES ('李四', 30)")
+
+# 4. 提交更改
+conn.commit()
+
+# 5. 读取数据
+cursor.execute('SELECT * FROM users')
+rows = cursor.fetchall()
+
+print("所有用户数据:")
+for row in rows:
+    print(f"姓名: {row[0]}, 年龄: {row[1]}")
+
+# 6. 关闭连接
+conn.close()

2025.08.26_data_file_format/TXT_example.py

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+# 写入
+with open('data.txt', 'w', encoding='utf-8') as f:
+    f.write('test_1\ntest_2')
+
+# 读取
+with open('data.txt', 'r', encoding='utf-8') as f:
+    content = f.read() # 读取全部内容
+print(content)
+
+with open('data.txt', 'r', encoding='utf-8') as f: 
+    lines = f.readlines() # 或按行读取
+print(lines)
+for line in lines:
+    print(line.strip()) # strip() 去除首尾空白字符

2025.08.26_data_file_format/data.csv

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+Name,year,value
+Guan,1993,1
+G123,2025,0

2025.08.26_data_file_format/data.json

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+{
+    "name": "Guan",
+    "year": 1993,
+    "hobbies": [
+        "coding",
+        "reading"
+    ]
+}

2025.08.26_data_file_format/data.txt

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+test_1
+test_2