Python Pandas - Deleting multiple series from a data frame in one command
You can also specify a list of columns to keep with the usecols option in pandas.read_table. This speeds up the loading process as well.
In short ... I have a Python Pandas data frame that is read in from an Excel file using 'read_table'.  I would like to keep a handful of the series from the data, and purge the rest.  I know that I can just delete what I don't want one-by-one using 'del data['SeriesName']', but what I'd rather do is specify what to keep instead of specifying what to delete.
If the simplest answer is to copy the existing data frame into a new data frame that only contains the series I want, and then delete the existing frame in its entirety, I would satisfied with that solution ... but if that is indeed the best way, can someone walk me through it?
TIA ... I'm a newb to Pandas.  :)