将 json 文件中的算术运算应用到 dataframe 而不使用 eval function

Question

I have json file contains arithmetic operation list to apply in dataframe columns, I used eval function, but i could not use eval function due to security issue, how can apply arithmetic operation from json file without using eval function my df function will be like the below table:

a	b	c	d
10	20	40	25
15	10	35	10
25	20	30	100
100	15	35	20
20	25	25	15
10	25	45	30
10	20	40	25
10	20	40	25

json_ops_list= {"1":"a/b",
"2":"a+b+c",
"3": "(a-b)/(b+d)",

"4":"(a-b)/(b*d+c)"}
def calculations(df, json_ops_list):
    final_df = pd.DataFrame()
    for i in json_ops_list:
        col_name = i + '_final'
        final_df[col_name] = df.eval(i)
    return final_df```

Answer 1

I think security problem is with python eval , in pandas is no this problem :

Neither simple nor compound statements are allowed. This includes things like for, while, and if.

Your solution is necessary change for dictionary:

json_ops_d= {"1":"a/b",
"2":"a+b+c",
"3": "(a-b)/(b+d)",

"4":"(a-b)/(b*d+c)"}

def calculations(df, d):
    final_df = pd.DataFrame()
    for k, v in d.items():
        col_name = k + '_final'
        final_df[col_name] = df.eval(v)
    return final_df

df = calculations(df, json_ops_d)
print (df)
    1_final  2_final   3_final   4_final
0  0.500000       70 -0.222222 -0.018519
1  1.500000       60  0.250000  0.037037
2  1.250000       75  0.041667  0.002463
3  6.666667      150  2.428571  0.253731
4  0.800000       70 -0.125000 -0.012500
5  0.400000       80 -0.272727 -0.018868
6  0.500000       70 -0.222222 -0.018519
7  0.500000       70 -0.222222 -0.018519