pandas 常用的数学统计方法 cumsum()
1、定义：样本值的累计和。
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("============================")
# cumsum() 样本数值的累计和
print(student_info.cumsum())
# 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
1 121.0 NaN 52.0
2 206.0 43.0 142.0
3 251.0 82.0 NaN
4 262.0 182.0 245.0
5 350.0 215.0 319.0
6 435.0 254.0 409.0
7 523.0 265.0 431.0
8 556.0 NaN 461.0
9 641.0 297.0 551.0
10 686.0 336.0 NaN
11 697.0 436.0 654.0
12 785.0 469.0 728.0
13 870.0 508.0 818.0
14 958.0 519.0 840.0
15 991.0 NaN 870.0
16 1076.0 551.0 960.0
17 1121.0 590.0 NaN
18 1132.0 690.0 1063.0
19 1220.0 723.0 1137.0
20 1305.0 762.0 1227.0
21 1393.0 773.0 1249.0
22 1426.0 NaN 1279.0
23 1511.0 805.0 1369.0
24 1556.0 844.0 NaN
25 1567.0 944.0 1472.0
26 1655.0 977.0 1546.0
27 1740.0 1016.0 1636.0