eturns
-------
scalar or ndarray
    Values of the derivative of the Hankel function.

See Also
--------
hankel2

Notes
-----
The derivative is computed using the relation DLFM 10.6.7 [2]_.

References
----------
.. [1] Zhang, Shanjie and Jin, Jianming. "Computation of Special
       Functions", John Wiley and Sons, 1996, chapter 5.
       https://people.sc.fsu.edu/~jburkardt/f77_src/special_functions/special_functions.html

.. [2] NIST Digital Library of Mathematical Functions.
       https://dlmf.nist.gov/10.6.E7

Examples
--------
Compute the Hankel function of the second kind of order 0 and
its first two derivatives at 1.

>>> from scipy.special import h2vp
>>> h2vp(0, 1, 0), h2vp(0, 1, 1), h2vp(0, 1, 2)
((0.7651976865579664-0.088256964215677j),
 (-0.44005058574493355-0.7812128213002889j),
 (-0.3251471008130329+0.8694697855159659j))

Compute the first derivative of the Hankel function of the second kind
for several orders at 1 by providing an array for `v`.

>>> h2vp([0, 1, 2], 1, 1)
array([-0.44005059-0.78121282j,  0.3251471 -0.86946979j,
       0.21024362-2.52015239j])

Compute the first derivative of the Hankel function of the second kind
of order 0 at several points by providing an array for `z`.

>>> import numpy as np
>>> points = np.array([0.5, 1.5, 3.])
>>> h2vp(0, points, 1)
array([-0.24226846-1.47147239j, -0.55793651-0.41230863j,
       -0.33905896+0.32467442j])
r�