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

You can either list the string columns by hand or glean them from df.dtypes. Once you have the list of string/object columns, you can call fillna on all those columns at once.

# str_cols = ['Name','City']
str_cols = df.columns[df.dtypes==object]
df[str_cols] = df[str_cols].fillna('.')
df = df.fillna(0)