How to convert a pandas DataFrame subset of columns AND rows into a numpy array?

Question

I\'m wondering if there is a simpler, memory efficient way to select a subset of rows and columns from a pandas DataFrame.

For instance, given this dataframe:

<

Answer 1

Use its value directly:

In [79]: df[df.c > 0.5][['b', 'e']].values
Out[79]: 
array([[ 0.98836259,  0.82403141],
       [ 0.337358  ,  0.02054435],
       [ 0.29271728,  0.37813099],
       [ 0.70033513,  0.69919695]])