Run the following code, which demonstrates different ways to select data using integer locations:

row_data = df.iloc[2]
col_data = df.iloc[:,1]
single_item = df.iloc[3,1]
df1 = df.iloc[0:2, 1:]

This code results in the following data being stored in each of the corresponding variables:

row_data:

item          Sharpener
inventory            12
unit_price        10.39
Name: 202034, dtype: object

col_data:

100024    24
201024    32
202034    12
101122    42
Name: inventory, dtype: int64

single_item:

42

df1:

             item  unit_price
201024     Eraser        1.29
202034  Sharpener       10.39
101122     Pencil        0.59