Adding a column in python based on multiple iterating conditions or looping

Question

I'd like to create an extra column in python either using Pandas or Numpy based on iterating conditions ( I think that's the way to do it). ** If any value is "False" and with the same IDxx, then the extra column is IN otherwise is OUT**

| IDxx   | Tru/Fal  |
| ------ | -------- |
| 164    | True     |
| 164    | False    |
| 164    | False    |
| 165    | True     |
| 165    | True     |
| 165    | True     |
| 166    | False    |
| 166    | True     |
| 166    | True     |
| 167    | True     |
| 167    | True     |
| 167    | False    |

I tried a few options but I'm running out of ideas. As all IDxx's are different I can't get the loop working. There are only 4 IDxx's in this example, but in my real case, there are hundreds. I'd like the output to return the following

IDxx	Tru/Fal	Answer
164	True	IN
164	False	IN
164	False	IN
165	True	OUT
165	True	OUT
165	True	OUT
166	False	IN
166	True	IN
166	True	IN
167	True	IN
167	True	IN
167	False	IN

Answer 1

Use groupby and replace as follows.

idx_gb = (df.groupby('IDxx')['Tru/Fal'].min() == False).to_dict() # key: IDxx, value: IDxx includes False or not
df['Answer'] = df['IDxx'].replace(idx_gb)