I\'m new to numpy and I have a 2D array of objects that I need to bin into a smaller matrix and then get a count of the number of objects in each bin to make a heatmap. I fo
You can reshape the array to a four dimensional array that reflects the desired block structure, and then sum along both axes within each block. Example:
>>> a = np.arange(24).reshape(4, 6)
>>> a
array([[ 0, 1, 2, 3, 4, 5],
[ 6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23]])
>>> a.reshape(2, 2, 2, 3).sum(3).sum(1)
array([[ 24, 42],
[ 96, 114]])
If a has the shape m, n, the reshape should have the form
a.reshape(m_bins, m // m_bins, n_bins, n // n_bins)