pandas 常用的数学统计方法 cummin()
1、定义：样本的累计最小值。
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("============================")
# cummin() 样本的累计最小值
print(student_info.cummin())
# 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 Math English
0 88.0 11.0 22.0
1 33.0 NaN 22.0
2 33.0 11.0 22.0
3 33.0 11.0 NaN
4 11.0 11.0 22.0
5 11.0 11.0 22.0
6 11.0 11.0 22.0
7 11.0 11.0 22.0
8 11.0 NaN 22.0
9 11.0 11.0 22.0
10 11.0 11.0 NaN
11 11.0 11.0 22.0
12 11.0 11.0 22.0
13 11.0 11.0 22.0
14 11.0 11.0 22.0
15 11.0 NaN 22.0
16 11.0 11.0 22.0
17 11.0 11.0 NaN
18 11.0 11.0 22.0
19 11.0 11.0 22.0
20 11.0 11.0 22.0
21 11.0 11.0 22.0
22 11.0 NaN 22.0
23 11.0 11.0 22.0
24 11.0 11.0 NaN
25 11.0 11.0 22.0
26 11.0 11.0 22.0
27 11.0 11.0 22.0