Add a `remove_nans` function

[bmmalone]

This function returns the non-nan values from an array. This should probably be a part of math_utils, or maybe matrix_utils. A basic implementation is as follows.

def _remove_nans(vals):
    m_nan = pd.isnull(vals)
    vals = vals[~m_nan]
    return vals