Pandas DataFrame:如何将数字列转换为成对分类数据？

import pandas as pd

# 创建一个包含数字列的DataFrame
df = pd.DataFrame({'numbers': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]})

# 定义区间范围
bins = [0, 5, 10]

# 使用cut函数将数字列转换为成对分类数据
df['categories'] = pd.cut(df['numbers'], bins=bins)

# 输出结果
print(df)

   numbers   categories
0        1    (0, 5]
1        2    (0, 5]
2        3    (0, 5]
3        4    (0, 5]
4        5    (0, 5]
5        6   (5, 10]
6        7   (5, 10]
7        8   (5, 10]
8        9   (5, 10]
9       10   (5, 10]