Category "fillna"

Inplace Forward Fill on a multi-level column dataframe

I have the following dataframe: arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'], ['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two']]

Python Pandas replace NaN in one column with value from corresponding row of second column

I am working with this Pandas DataFrame in Python. File heat Farheit Temp_Rating 1 YesQ 75 N/A 1 NoR 115 N/A