pandas 常用的数学统计方法 cummax()
1、定义：样本的累计最大值。
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("============================")
# cummax() 样本的累计最大值
print(student_info.cummax())
# 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 88.0 NaN 30.0
2 88.0 32.0 90.0
3 88.0 39.0 NaN
4 88.0 100.0 103.0
5 88.0 100.0 103.0
6 88.0 100.0 103.0
7 88.0 100.0 103.0
8 88.0 NaN 103.0
9 88.0 100.0 103.0
10 88.0 100.0 NaN
11 88.0 100.0 103.0
12 88.0 100.0 103.0
13 88.0 100.0 103.0
14 88.0 100.0 103.0
15 88.0 NaN 103.0
16 88.0 100.0 103.0
17 88.0 100.0 NaN
18 88.0 100.0 103.0
19 88.0 100.0 103.0
20 88.0 100.0 103.0
21 88.0 100.0 103.0
22 88.0 NaN 103.0
23 88.0 100.0 103.0
24 88.0 100.0 NaN
25 88.0 100.0 103.0
26 88.0 100.0 103.0
27 88.0 100.0 103.0
