statsmodels.tsa.api.VAR如何绘制结果

Question

I want to plot the results based on what is suggested in http://statsmodels.sourceforge.net/stable/vector_ar.html#var . However, I don't want to use pandas. The plotting doesn't work and I don't know why.

Here is my code:

Y = [data[0,:] , data[1,:]]
import statsmodels.tsa.api
Vmodel = statsmodels.tsa.api.VAR(zip(*Y))
results = Vmodel.fit(2)
print results.summary()
print results.plot()
results.plot_acorr()

results.summary() is working but plotting is not. I appreciate any help.

Answer 1

It seems that you just not requesting that the plots are shown to you. Use can use pylab.show() . For example:

import statsmodels.tsa.api
import pylab

data = [[ 120.634, 65.766, -402.844, -258.187, 151.982, -370.8 ],
        [ 140.634, 65.766, -402.844, -358.187, 151.982, -370.8 ]] 

Y = [data[0] , data[1]]
Vmodel = statsmodels.tsa.api.VAR(zip(*Y))
results = Vmodel.fit(2)
print results.summary()
print results.plot()
results.plot_acorr()
pylab.show()