multivariate-testing

I am interested in Applying Henze-Zirkler's Multivariate Normality Test in python 3x and I was wondering if I may do so in python in Jupyter notebook. I have fitted a VAR model with my data and the then I would like to test whether the residuals from this fitted VAR model are normally distributed. How may I do so in Jupyter notebook using python? This is another answer since I discover this method later. If you do not want to import the library of R into Python. One may call the output of R to python. i.e. one is capable of activating R function through python as follow: import rpy2.robjects

I am trying to visualise multivariate data model by reading them from multiple input files. I am looking for a simple solution to visualise multiple category data read from multiple input csv files. The no. Of rows in inputs range from 1 to 10000s in individual files. The format is same of all the inputs with 4 columns csv files. Input 1 tweetcricscore 34 51 high Input 2 tweetcricscore 23 46 low tweetcricscore 24 12 low tweetcricscore 456 46 low Input 3 tweetcricscore 653 1 medium tweetcricscore 789 178 medium Input 4 tweetcricscore 625 46 part tweetcricscore 86 23 part tweetcricscore 3 1 part