Please use the Pandas to_numpy() method. Below is an example--
>>> import pandas as pd
>>> df = pd.DataFrame({"A":[1, 2], "B":[3, 4], "C":[5, 6]})
>>> df
A B C
0 1 3 5
1 2 4 6
>>> s_array = df[["A", "B", "C"]].to_numpy()
>>> s_array
array([[1, 3, 5],
[2, 4, 6]])
>>> t_array = df[["B", "C"]].to_numpy()
>>> print (t_array)
[[3 5]
[4 6]]
Hope this helps. You can select any number of columns using
columns = ['col1', 'col2', 'col3']
df1 = df[columns]
Then apply to_numpy() method.