1. Read in the college dataset, and set the index as the institution name. Select the first three rows and the first four columns with slice notation:

>>> college = pd.read_csv('data/college.csv', index_col='INSTNM')
>>> college.iloc[:3, :4]
>>> college.loc[:'Amridge University', :'MENONLY']

2. Select all the rows of two different columns:

>>> college.iloc[:, [4,6]].head()
>>> college.loc[:, ['WOMENONLY', 'SATVRMID']].head()

3. Select disjointed rows and columns:

>>> college.iloc[[100, 200], [7, 15]]
>>> rows = ['GateWay Community College',
            'American Baptist Seminary of the West']
>>> columns = ['SATMTMID', 'UGDS_NHPI']
>>> college.loc[rows, columns]

4. Select a single scalar value:

>>> college.iloc[5, -4]
>>> college.loc['The University of Alabama', 'PCTFLOAN']
-.401

5. Slice the rows and select a single column:

>>> college.iloc[90:80:-2, 5]
>>> start = 'Empire Beauty School-Flagstaff'
>>> stop = 'Arizona State University-Tempe'
>>> college.loc[start:stop:-2, 'RELAFFIL']
INSTNM
Empire Beauty School-Flagstaff     0
Charles of Italy Beauty College    0
Central Arizona College            0
University of Arizona              0
Arizona State University-Tempe     0
Name: RELAFFIL, dtype: int64