I wouldn't say I'm a Python noob, but I wouldn't say I'm a Python expert either. I work in data science and use Pandas Dataframes a lot. My question is regarding the difference in calling out a specific row, column combination in a dataframe.
I see 3 ways of doing this: (1) df.loc[row_ind, column_ind] (2) df.column_ind.loc[row_ind] (3) df[column_ind].loc[row_ind] where column_ind is the column name & row_ind is the named row index/row name in the dataframe. Can anyone enlighten me as to the differences between the above 3 methods of getting to the same cell in the dataframe? Are there speed differences? Is it simply a preference thing? Is there a PEP8 preferred way of doing this? Are there specific disadvantages to any of the methods? Thanks in advance. Zach -- https://mail.python.org/mailman/listinfo/python-list
