convert pandas series AND dataframe objects to a numpy array

Question

Series to Numpy Array:

I have a pandas series object that looks like the following:

s1 = pd.Series([0,1,2,3,4,5,6,7,8], index=[\'AB\', \'A         


        

Answer 1

IIUC, you may try numpy transpose and reshape

df.values.T.reshape(-1,  int(dimension_len), int(dimension_len))

Out[30]:
array([[[ 0.,  1.,  2.],
        [ 3.,  4.,  5.],
        [ 6.,  7.,  8.]],

       [[nan, -2., nan],
        [ 2., nan, nan],
        [nan, nan, nan]],

       [[nan, nan,  4.],
        [nan, nan,  3.],
        [-4., -3., nan]]])