Can Pandas unify the function/syntax ?
I might be wrong for I am a Pandas newbie and know little about the Pandas inside logic . But I will feel much better if Pandas can unify its syntax/function for below :
1. series & dataframe
   series is a one-column dataframe, why not use dataframe's function to cover series ?
2. index & columns
   can dataframe index be treated as a special column ?  just like the SQL,which select/update the 'key_column'  the same way as 'non_key_column'

That will reduce and simplify the function list , lower the learning curve.
