Same parameter name for specifying column names in pd.read_csv and pd.DataFrame
The two most common ways of creating a new dataframe use different parameters for taking a list of column names as input. 
In pd.read_csv, the syntax is: 
`pandas.read_csv(filepath, sep=',', delimiter=None, header='infer', names=None)`

In pd.DataFrame, the syntax is: 
`pandas.DataFrame(data=None, index=None, columns=None)`

And then again, in df.to_csv, we use the name `columns`. 
`df.to_csv(self, path_or_buf=None, sep=', ', na_rep='', float_format=None, columns=None)`

Can they both be changed to `columns`? 