Fillna in multiple columns in place in Python Pandas

Question

I have a pandas dataFrame of mixed types, some are strings and some are numbers. I would like to replace the NAN values in string columns by \'.\', and the NAN values in flo

Answer 1

There is a simpler way, that can be done in one line:

df.fillna({'Name':0,'City':0},inplace=True)

Not an awesome improvement but if you multiply it by 100, writting only the column names + ':0' is way faster than copying and pasting everything 100 times.