pandas 常用的数学统计方法 mad()

                                                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 pd

student_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