Split array at value in numpy

Question

I have a file containing data in the format:

0.0 x1
0.1 x2
0.2 x3
0.0 x4
0.1 x5
0.2 x6
0.3 x7
...

The data consists of multiple datasets, e

Answer 1

Once you have the data in a long numpy array, just do:

import numpy as np

A = np.array([[0.0, 1], [0.1, 2], [0.2, 3], [0.0, 4], [0.1, 5], [0.2, 6], [0.3, 7], [0.0, 8], [0.1, 9], [0.2, 10]])
B = np.split(A, np.argwhere(A[:,0] == 0.0).flatten()[1:])

which will give you B containing three arrays B[0], B[1] and B[2] (in this case; I added a third "section" to prove to myself that it was working correctly).