Add multiple columns after pandas if-else if condition

I have a DateFrame:

what I am trying to achieve is to do add 2-3 columns after checking specific conditions

The condition is

limit_a = 1000
limit_b = 500
limit_c = 2000

if df['input_amount']>limit_a and df['type']=="A":
    df['approved amount'] = limit_a
    df['comment'] = 'limit reached for A'
else:
    df['approved amount'] = df['input_amount']
    df['comment'] = 'limit not reached for A'

if df['input_amount']>limit_b and df['type']=="B":
    df['approved amount'] = limit_b
    df['comment'] = 'limit reached for B'
else:
    df['approved amount'] = df['input_amount']
    df['comment'] = 'limit not reached for B' 

This wasn’t working for me.

This will be the resulting output.

>Solution :

One way using map and min:

limits = {"A":1000,"B": 500, "C":2000}

df["approved_amount"] = df["type"].map(limits)
df["approved_amount"] = df[["input_amount", "approved_amount"]].min(axis=1)

Output:

   input_amount type  approved_amount
0          2000    A             1000
1           300    B              300
2           526    A              526
3          1000    A             1000
4          1500    C             1500
5          1350    B              500