Take a string in the format:

data = ‘’’

1 4

2 8.2

3 12

4 15,16

’’’

and return the following list of numpy arrays:
[np,array([1, 2, 3, 4]),
np.array(4, 8.2, 12, 15.16)]

Example:

[ 0. -0.00499377 0. -0.03732585 0. ]

## Using pandas

If we need a pandas dataframe instead, we can exploit the `StringIO`

method from the standard `io`

library: