Drop columns with missing data:

import pandas as pd

df = pd.DataFrame([[10, 20, 30, 40], [7, 14, 21, 28], [5,]],
                  columns=['Apple', 'Orange', 'Banana', 'Pear'],
                  index=['Basket1', 'Basket2', 'Basket3'])

print("\n--------- DataFrame ---------\n")
print(df)

print("\n--------- Drop Columns) ---------\n")
print(df.dropna(1))

C:\pandas>python example.py
 
--------- DataFrame ---------
 
         Apple  Orange  Banana  Pear
Basket1     10    20.0    30.0  40.0
Basket2      7    14.0    21.0  28.0
Basket3      5     NaN     NaN   NaN
 
--------- Drop Columns) ---------
 
         Apple
Basket1     10
Basket2      7
Basket3      5
 
C:\pandas>