Numerical Computing with Python

How to do it...

1. Read in the college dataset, assign for the column index to a variable, and output it:

>>> college = pd.read_csv('data/college.csv')>>> columns = college.columns>>> columnsIndex(['INSTNM', 'CITY', 'STABBR', 'HBCU', ...], dtype='object')

2. Use the values attribute to access the underlying NumPy array:

>>> columns.valuesarray(['INSTNM', 'CITY', 'STABBR', 'HBCU', ...], dtype=object)

3. Select items from the index by integer location with scalars, lists, or slices:

>>> columns[5]'WOMENONLY'>>> columns[[1,8,10]]Index(['CITY', 'SATMTMID', 'UGDS'], dtype='object')>>> columns[-7:-4]Index(['PPTUG_EF', 'CURROPER', 'PCTPELL'], dtype='object')

4. Indexes share many of the same methods as Series and DataFrames:

>>> columns.min(), columns.max(), ...