Python replace 1.0 and 0.0 with True and False in dataframe

Question

I have a big data frame. I want to replace float 1.0 and 0.0 with the true and false. My code: import pandas as pd df = pd.DataFrame({"A":[1.0,0.0,1.0,0.0]}) df.replace(1.0,True,inplace=True).replace(0.0,False,inplace=True) Present output: AttributeError: 'NoneType' object has no attribute 'replace' If I do it separately in two lines, it will work. I want to do it in one line. Select the correct answer from above options

Answer 1

Try with bool df.A=df.A.astype(bool) df Out[69]: A 0 True 1 False 2 True 3 False Do check out Data Science with Python course which helps you understand from scratch