pandas 常用的数学统计方法 mad()
1、定义：根据平均值计算平均绝对距离差。
2、示例：
import pandas as pdstudent_info = pd.read_csv("F:/人工智能/科学计算库/files/student_info.csv")
print(student_info)
print("===========================")
# mad() 根据平均值计算平均绝对距离差
print(student_info.mad())# 运行结果：
Chinese Math English
0 88 11.0 22.0
1 33 NaN 30.0
2 85 32.0 90.0
3 45 39.0 NaN
4 11 100.0 103.0
5 88 33.0 74.0
6 85 39.0 90.0
7 88 11.0 22.0
8 33 NaN 30.0
9 85 32.0 90.0
10 45 39.0 NaN
11 11 100.0 103.0
12 88 33.0 74.0
13 85 39.0 90.0
14 88 11.0 22.0
15 33 NaN 30.0
16 85 32.0 90.0
17 45 39.0 NaN
18 11 100.0 103.0
19 88 33.0 74.0
20 85 39.0 90.0
21 88 11.0 22.0
22 33 NaN 30.0
23 85 32.0 90.0
24 45 39.0 NaN
25 11 100.0 103.0
26 88 33.0 74.0
27 85 39.0 90.0
===========================
Chinese 27.836735
Math 19.222222
English 28.111111
dtype: float64