np.gradient does not accept coordinate array


I’m trying usenp.gradient to calculate the derivative of an irregularly spaced array.

I’d like to do something along the lines of:

import dask.array

f = dask.array.range(50)
x = dask.array.range(50)

f_prime = np.gradient(f, x)

but a NotImplementedError is raised:

NotImplementedError                       Traceback (most recent call last)
Cell In [14], line 1
----> 1 dask.array.gradient(f, x, axis=-1)

File ~/mambaforge/envs/thermal/lib/python3.9/site-packages/dask/array/, in gradient(f, axis, *varargs, **kwargs)
    704 else:
    705     if isinstance(varargs[i], Array):
--> 706         raise NotImplementedError("dask array coordinated is not supported.")
    707     # coordinate position for each block taking overlap into account
    708     chunk = np.array(f.chunks[ax])

NotImplementedError: dask array coordinated is not supported.

I’m kind of confused since there’s no error raised by x being an array, and according to the dask.array.gradient documentation this type of operation is supported.

Is this not the case?