Is there a way to overwrite False to True?

Question

I have a pandas dataframe which currently looks like this.

Original Table

Test Subject	Test1	Test2	Test3
Subject1	True	False	False
Subject2	True	False	False
Subject3	True	False	False
Subject2	False	False	False
Subject2	False	True	True
Subject3	False	False	True

Is there any possible way for me to group the test subjects and overwrite previous values within their column to make it look like the following without doing it manually?

Desired Table

Test Subject	Test1	Test2	Test3
Subject1	True	False	False
Subject2	True	True	True
Subject3	True	False	True

Attached code to make the original dataframe from scratch

import pandas as pd

df = pd.DataFrame({'Test Subject': ["Subject1", "Subject2", "Subject3", "Subject2", "Subject2", "Subject3"], 'Test1': [True, True, True, False, False, False], 'Test2': [False, False, False, True, False, False], 'Test3': [False, False, False, False, True, True]})

EDIT: The table formatting seems to be broken for some reason so I’ve posted photos below of the tables

Original Table
Original Table created

Desired Table
Desired Table from question

Asked By: Pikehex

||

Source

Answer 1

You can simply do:

df.groupby('Test Subject', as_index=False).any()

  Test Subject  Test1  Test2  Test3
0     Subject1   True  False  False
1     Subject2   True   True   True
2     Subject3   True  False   True

If any value in the group is True, it returns True

Answered By: Psidom

Answer 2

You can use pandas.DataFrame.groupby :

out = df.groupby('Test Subject', as_index=False).agg('sum').replace({1:True, 0:False})

`>>> print(out)`

Answered By: L'Artiste

Is there a way to overwrite False to True?

Question:

Answers:

`>>> print(out)`