根据列中的条件将Pandas数据帧拆分为多个数据帧

import pandas as pd

# 创建一个示例数据帧
data = {'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eve'],
        'Age': [25, 30, 35, 40, 45],
        'Gender': ['Female', 'Male', 'Male', 'Male', 'Female']}
df = pd.DataFrame(data)

# 根据Gender列将数据帧拆分为多个数据帧
grouped = df.groupby('Gender')

# 遍历每个分组，将其保存为独立的数据帧
result = {}
for name, group in grouped:
    result[name] = group

# 打印每个分组的数据帧
for name, group in result.items():
    print(f"分组 {name}:")
    print(group)
    print()

分组 Female:
   Name  Age  Gender
0  Alice   25  Female
4    Eve   45  Female

分组 Male:
     Name  Age Gender
1     Bob   30   Male
2  Charlie   35   Male
3    David   40   Male