Reputation: 3820
I am trying to do something like plotting the Sample cross-correlation function as described in http://www.michaeljgrogan.com/cross-correlation-r/
However, I do not want to use the function from R or using the rpy2 library. I was wondering whether there is already a built-in function in one of the libraries in Python like sm.tsa.stattools
. Something that is embedded in Jupyter notebook.
Additionally, where could I find python built-in libraries for VAR models and estimating VAR or Structural VAR model in python?
Thank you so much
Upvotes: 2
Views: 2186
Reputation: 3820
Although, I am not quite happy with this solution since there are no dotted lines
This does the job however
import matplotlib.pyplot as plt
plt.xcorr(df.ix[:,2],df.ix[:,3],maxlags=15, usevlines=1)
plt.show()
But I was wondering whether there are any better figures
Upvotes: 1