Python Pandas: if the data is NaN, then change to be 0, else change to be 1 in data frame

Question

I have a DataFrame:df as following:

 row  id  name    age   url           
  1   e1   tom    NaN   http1   
  2   e2   john   25    NaN
  3   e3   lucy   NaN         


        

Answer 1

df.loc[:, ['age', 'url']] = df[['age', 'url']].notnull() * 1
df