I have a dataframe df defined as below :
df = pd.DataFrame()
df["A"] = ['True','True','True','True','True']
df["B"] = ['True','False','True','False','True']
df["C"] = ['False','True','False','True','False']
df["D"] = ['True','True','False','False','False']
df["E"] = ['False','True','True','False','True']
df["F"] = ['HI','HI','HI','HI','HI']
>> df
A B C D E F
0 True True False True False HI
1 True False True True True HI
2 True True False False True HI
3 True False True False False HI
4 True True False False True HI
and a list
lst = ["A","C"]
I would like to filter the rows in df based on the values being 'True' for the columns in lst.
That is, I would like to get my resultant dataframe as :
A B C D E F
1 True False True True True HI
3 True False True False False HI
Instead of looping through the column names from the list and filtering it, is there any better solution for this?
pd.read_clipboard('\s\s+')TrueFalseinstead of'True''False'in df