pandas create new column based on boolean value

Question

I have a dataframe like this with Boolean values

black	yellow	orange
TRUE	TRUE	TRUE
FALSE	TRUE	FALSE
TRUE	TRUE	FALSE
FALSE	FALSE	TRUE

I want a separate column that summarizes the Boolean values based on column name which the column would be

summary
black, yellow, orange
yellow
black, yellow
orange

Any idea how to do this please? Thanks!

Answer 1

You can use each row as a selection mask to filter the column names:

(
    df.astype("bool")
    .apply(lambda row: ", ".join(df.columns[row]), axis=1)
    .to_frame("summary")
)