Is it possible to systematically slice an 1d array of length m by an interval n in numpy? Say I have a list of 1000 values, could I break that into 10 lists of 100 values easily?
You can use both np.array_split() and np.split() which in fact are the same with a little note (as per np.array_split())
From the documentation:
x = np.arange(8.0)
np.array_split(x, 3)
#Result
[array([0., 1., 2.]), array([3., 4., 5.]), array([6., 7.])]
Split an array into multiple sub-arrays.
Please refer to the split documentation. The only difference between these functions is that array_split allows indices_or_sections to be an integer that does not equally divide the axis. For an array of length l that should be split into n sections, it returns l % n sub-arrays of size l//n + 1 and the rest of size l//n.