如何统计给定数据帧列中的每个值在某个类间隔内出现的次数？

import pandas as pd

# 假设数据帧列名为"column_name"，类间隔为10
data_frame = pd.DataFrame({'column_name': [5, 12, 15, 20, 25, 30, 35, 40, 45, 50]})

# 定义类间隔范围
interval = 10

# 统计每个值在类间隔内出现的次数
value_counts = {}
for value in data_frame['column_name']:
    interval_start = (value // interval) * interval
    interval_end = interval_start + interval
    interval_key = f'{interval_start}-{interval_end}'
    if interval_key not in value_counts:
        value_counts[interval_key] = {}
    if value not in value_counts[interval_key]:
        value_counts[interval_key][value] = 0
    value_counts[interval_key][value] += 1

# 输出统计结果
for interval_key, counts in value_counts.items():
    print(f'类间隔 {interval_key}:')
    for value, count in counts.items():
        print(f'值 {value} 出现次数: {count}')