DeprecationWarning when running spatial smoothing

[KarenChen9999]

I am running the example of spatial smoothing and got an error. I tested on pythong 2.7 and 3.7. Both are not working.

from pysal.esda import smoothing as sm
from pysal import knnW
sids = pysal.open(pysal.examples.get_path("sids2.shp"), 'r')
sids_d = np.array([i.centroid for i in sids])
sids_w = knnW(sids_d,k=5)
if not sids_w.id_order_set: sids_w.id_order = sids_w.id_order
triples = sm.Headbanging_Triples(sids_d,sids_w,k=5)

This is the error i got:

---------------------------------------------------------------------------
DeprecationWarning                        Traceback (most recent call last)
<ipython-input-10-5a0dd4e927b9> in <module>()
      4 sids_w = knnW(sids_d,k=5)
      5 if not sids_w.id_order_set: sids_w.id_order = sids_w.id_order
----> 6 triples = sm.Headbanging_Triples(sids_d,sids_w,k=5)

/apps/opt/anaconda3/envs/sm/lib/python2.7/site-packages/pysal/esda/smoothing.pyc in __init__(self, data, w, k, t, angle, edgecor)
   1688     """
   1689     def __init__(self, data, w, k=5, t=3, angle=135.0, edgecor=False):
-> 1690         raise DeprecationWarning('Deprecated. This function is no longer supported.')
   1691         if k < 3:
   1692             raise ValueError("w should be NeareastNeighbors instance & the number of neighbors should be more than 3.")

DeprecationWarning: Deprecated. This function is no longer supported.

Can anyone please suggest how to fix this?

[sjsrey]

Thanks for reporting the issue. We have deprecated that function as the original maintainer has left the project and the code is in need of refactoring for correctness. Until we have a new maintainer to work on this we have deprecated that specific piece of functionality.

[KarenChen9999]

It seems that this function has been deprecated from old releases as well. The package i tried was 1.14.4. I thought this only occurred to the new release. Would be possible to get this function work for the old release?

[sjsrey]

I'm afraid, until we find a new maintainer to update and correct that functionality, we won't be supporting it.