pandas中的data.describe()方法如何区分总体数据和样本数据？

import pandas as pd

# 创建一个数据集
data = pd.DataFrame({'A': [1, 2, 3, 4, 5],
                     'B': [6, 7, 8, 9, 10]})

# 基于总体数据生成统计信息
total_stats = data.describe()
print("Total Statistics:")
print(total_stats)

# 基于样本数据生成统计信息
sample_stats = data.describe(include='all')
print("\nSample Statistics:")
print(sample_stats)

Total Statistics:
              A          B
count  5.000000   5.000000
mean   3.000000   8.000000
std    1.581139   1.581139
min    1.000000   6.000000
25%    2.000000   7.000000
50%    3.000000   8.000000
75%    4.000000   9.000000
max    5.000000  10.000000

Sample Statistics:
               A          B
count   5.000000   5.000000
mean    3.000000   8.000000
std     1.581139   1.581139
min     1.000000   6.000000
25%     2.000000   7.000000
50%     3.000000   8.000000
75%     4.000000   9.000000
max     5.000000  10.000000