Trying my hands pandas multi level indexing. Have shown sample for input as well as output. I tried transposing, reading part by part, not sure where I am going incorrect:

Input:

```
import pandas as pd
import numpy as np
df = pd.DataFrame(index=['2016-11-21', '2016-11-22', '2016-11-23', '2016-11-24', '2016-11-25'],
                  columns=pd.MultiIndex.from_product([list('AB'), list('ab')]),
                  data=np.array([[2,3,5,6,6], [1,4,2,3,3], [3,1,1,1,0], [0,0,6,5,2]]).T)
print (df)
            A     B   
            a  b  a  b
2016-11-21  2  1  3  0
2016-11-22  3  4  1  0
2016-11-23  5  2  1  6
2016-11-24  6  3  1  5
2016-11-25  6  3  0  2

```

Desired Output:
I need to get value for '2016-11-22' across column a for both A and B

> 
> 
> ```
>      a
>  A   3
>  B   1
> 
> ```
> 
>