pandas 常用的数学统计方法 idxmin()
1、定义：计算能够获取到最小值的索引位置（整数）。
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("===========================")
# idxmin() 计算能够获取到最小值的索引位置（整数）
print(student_info.idxmin())
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 4
Math 0
English 0
dtype: int64