- jax.numpy.digitize(x, bins, right=False)[source]#
Return the indices of the bins to which each value in input array belongs.
LAX-backend implementation of
Original docstring below.
order of bins
returned index i satisfies
bins[i-1] <= x < bins[i]
bins[i-1] < x <= bins[i]
bins[i-1] > x >= bins[i]
bins[i-1] >= x > bins[i]
If values in x are beyond the bounds of bins, 0 or
len(bins)is returned as appropriate.
x (array_like) – Input array to be binned. Prior to NumPy 1.10.0, this array had to be 1-dimensional, but can now have any shape.
bins (array_like) – Array of bins. It has to be 1-dimensional and monotonic.
right (bool, 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.
indices – Output array of indices, of same shape as x.
- Return type:
ndarray of ints