How to get away with a multidimensional index in pandas

Question

In Pandas, what is a good way to select sets of arbitrary rows in a multiindex?

df = pd.DataFrame(columns=[\'A\', \'B\', \'C\'])
df[\'A\'] = [\'a\', \'a\', \         


        

Answer 1

In newer versions of pandas you can simply use .iloc for row indexing.

df = pd.DataFrame(columns=['A', 'B', 'C'])
df['A'] = ['a', 'a', 'b', 'b']
df['B'] = [1,2,3,4]
df['C'] = [1,2,3,4]
df.iloc[[0, 3]][['A', 'B']]