my_dict = {'AB': 150 , 'LC': 12 , 'MA': 2000}

for exam_name, max_mark in my_dict.items():
    df[exam_name + '_percent'] = (df[exam_name] * 100 )/max_mark

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这里有一个方法：

max_score = {
    "AB": 150,
    "LC": 10,
    "MA": 1000
}
df[["AB%", "LC%", "MA%"]] = df[["AB", "LC", "MA"]].div(max_score, axis=1).mul(100)

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这可以通过使用以下代码来完成：

df["AB_percent"] = df["AB"]/max(df["AB"])

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或者更一般地说：

for col in ["AB", "LC", "MA"]:
    df[col + "_percent"] = df[col]/max(df[col])

型
这导致

ID  Visit  AB  LC   MA  AB_percent  LC_percent  MA_percent
0   1      1  30   1  300         0.6    0.111111    0.333333
1   1      2  40   4  900         0.8    0.444444    1.000000
2   2      1  50   5  400         1.0    0.555556    0.444444
3   2      2  20   6  400         0.4    0.666667    0.444444
4   3      1  10   8  450         0.2    0.888889    0.500000
5   3      2  10   9  350         0.2    1.000000    0.388889

型

我想不出一个Pandas内置的功能，所以我会用一个简单的小算法来解决它，就像这样：

import pandas as pd
dict = {
    "ID": [1, 1, 2, 2, 3, 3],
    "Visit": [1, 2, 1, 2, 1, 2],
    "AB": [30, 40, 50, 20, 10, 10],
    "LC": [1, 4, 5, 6, 8, 9],
    "MA": [300, 900, 400, 400, 450, 350] 
}
# your dict with the max values
maxValues = {'AB': 150, 'LC': 12, 'MA': 2000}

# iterating through the max values
# and using the testname as name of the data-column
# to be used to calculate the percentage
for test in maxValues:
    newRowPercentages = []
    # iterating through the entries in the specific column
    for result in dict[test]:
        # calculating the percentage, styling is another topic
        # take a look at 'str.format()'
        percent = (result/maxValues[test]) * 100
        # appending the result to the array that is than...
        newRowPercentages.append(percent)
    # ...added as a new Column to your dict
    dict[test + '_percent'] = newRowPercentages

df = pd.DataFrame(dict)
print(df)

## OUTPUT:
   ID  Visit  AB  LC   MA  AB_percent  LC_percent  MA_percent
0   1      1  30   1  300   20.000000    8.333333        15.0
1   1      2  40   4  900   26.666667   33.333333        45.0
2   2      1  50   5  400   33.333333   41.666667        20.0
3   2      2  20   6  400   13.333333   50.000000        20.0
4   3      1  10   8  450    6.666667   66.666667        22.5
5   3      2  10   9  350    6.666667   75.000000        17.5

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顺便说一句，如果你是导出这样的数据到excel，它会变得轻而易举地计算和形成这样的东西：）但我也喜欢自己一个很好的旧“所有在代码”的解决方案