Clarify support for negative axes in dpnp.transpose/permute_dims docs

CHANGELOG.md

@@ -21,6 +21,7 @@ This release is compatible with NumPy 2.4.5.
 * Updated tests to align with NumPy 2.4.5 compatibility [gh-2920](https://github.com/IntelPython/dpnp/pull/2920)
 * Replaced `.pxi` includes in `dpnp.tensor` with modular `.pxd`/`.pyx` Cython imports [#2913](https://github.com/IntelPython/dpnp/pull/2913)
 * Reimplemented `dpnp.eye` and `dpnp.tensor.eye` with a branchless kernel [gh-2937](https://github.com/IntelPython/dpnp/pull/2937)
+* Clarified support for negative axes in `dpnp.transpose`/`dpnp.permute_dims` documentation [#2940](https://github.com/IntelPython/dpnp/pull/2940)
 
 ### Deprecated
 

dpnp/dpnp_iface_manipulation.py

@@ -3908,6 +3908,7 @@ def transpose(a, axes=None):
     axes : {None, tuple or list of ints}, optional
         If specified, it must be a tuple or list which contains a permutation
         of [0, 1, ..., N-1] where N is the number of axes of `a`.
+        Negative indices can also be used to specify axes.
         The `i`'th axis of the returned array will correspond to the axis
         numbered ``axes[i]`` of the input. If not specified or ``None``,
         defaults to ``range(a.ndim)[::-1]``, which reverses the order of