dpnp.histogram

dpnp.histogram(a, bins=10, range=None, density=None, weights=None)

Compute the histogram of a dataset.

For full documentation refer to numpy.histogram.

Examples

>>> import dpnp
>>> dpnp.histogram([1, 2, 1], bins=[0, 1, 2, 3])
(array([0, 2, 1]), array([0, 1, 2, 3]))
>>> dpnp.histogram(dpnp.arange(4), bins=dpnp.arange(5), density=True)
(array([0.25, 0.25, 0.25, 0.25]), array([0, 1, 2, 3, 4]))
>>> dpnp.histogram([[1, 2, 1], [1, 0, 1]], bins=[0,1,2,3])
(array([1, 4, 1]), array([0, 1, 2, 3]))
>>> a = dpnp.arange(5)
>>> hist, bin_edges = dpnp.histogram(a, density=True)
>>> hist
array([0.5, 0. , 0.5, 0. , 0. , 0.5, 0. , 0.5, 0. , 0.5])
>>> hist.sum()
2.4999999999999996
>>> res = dpnp.sum(hist * dpnp.diff(bin_edges))
>>> print(res)
1.0