Question

我用代码创建DataFrame

import pandas as pd

data = [
    ["id_1",6,7,9],
    ["id_2",9,7,1],
    ["id_3",6,7,10],
    ["id_4",9,5,10]
]
df = pd.DataFrame(data, columns = ['Student Id', 'Math', 'Physical', 'Chemistry'])

我们如何找到具有max（Math + Physical + Chemistry）的行，结果= id_4

提前谢谢！

Answer 1

您可以将“学生ID”列设置为索引，然后计算最大和。

df = df.set_index('Student Id')
print(df.sum(axis=1).idxmax())

Answer 2

test_result <- tibble::tribble(
  ~group_name, ~id_name, ~varA, ~varB,
     "groupA",   "id_1",     1,   "a",
     "groupA",   "id_2",     4,   "f",
     "groupA",   "id_4",     6,   "x",
     "groupA",   "id_4",     6,   "h",
     "groupB",   "id_1",     2,   "s",
     "groupB",   "id_2",    13,   "y",
     "groupB",   "id_4",    14,   "t",
     "groupC",   "id_1",     3,   "d",
     "groupC",   "id_2",     7,   "j",
     "groupC",   "id_4",     9,   "l",
  )

Answer 3

您可以尝试以下方法：

df.loc [df [['Math'，'Physical'，'Chemistry']]。sum（axis = 1）.idxmax（），'Student Id']

查找具有多列最大和的行

3 个答案: