Use pysal to calculate spatial autocorrelation in vector data .shp

I am trying to implement 'pysal' in order to calculate the "Local Moran" spatial autocorrelation index of the points of a vector file .shp. This with the objective of cleaning vector data at the INLIERS level. My problem is when I have to obtain the weight matrix W, to be able to use it later as the input parameter of the Moran_local function of the pysal package.

The code I use is the following:

import pysal
import numpy as np


f = pysal.open("soja.dbf")
y = np.array(f.by_col["DryYield ("])
w = pysal.knnW_from_shapefile("soja.shp", k=6)
lm = pysal.Moran_Local(y,w)
print lm

Has anyone worked in this way and with this package on this type of data?

Thank you very much

I have already solved the problem It was a problem in my pc, I leave the code in case of doubts.

#!/usr/bin/env python
# -*- coding: utf-8

import pysal
import numpy as np
import matplotlib.pyplot as plt




w = pysal.knnW_from_shapefile("soja.shp", k=4)
f = pysal.open("soja.dbf")
y = np.array(f.by_col["DryYield ("])

lm = pysal.Moran_Local(y,w)
local_moran = lm.Is
for i in local_moran:
    print i

Greetings and thank you very much.