mindspore.numpy.digitize(x, bins, right=False)[source]

Returns the indices of the bins to which each value in input array belongs. If values in x are beyond the bounds of bins, 0 or len(bins) is returned as appropriate.

  • x (Union[int, float, bool, list, tuple, Tensor]) – Input array to be binned.

  • bins (Union[list, tuple, Tensor]) – Array of bins. It has to be 1-dimensional and monotonic.

  • right (boolean, optional) – Indicating whether the intervals include the right or the left bin edge. Default behavior is (right==False) indicating that the interval does not include the right edge. The left bin end is open in this case, i.e., bins[i-1] <= x < bins[i] is the default behavior for monotonically increasing bins.


Tensor of ints, output array of indices, of same shape as x.

Supported Platforms:

Ascend GPU CPU


>>> import mindspore.numpy as np
>>> x = np.array([1.2, 10.0, 12.4, 15.5, 20.])
>>> bins = np.array([0, 5, 10, 15, 20])
>>> inds = np.digitize(x, bins)
>>> print(inds)
[1 3 3 4 5]