How to print the printing full cpd from pgmpy?

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I'm trying to get the example in Insurance data representation with Bayesian networks to work. See the section Maximum Likelihood Estimation. The data I got from the bnlearn package in R and then uploaded it my google drive. The data

The picture below shows ... I believe this is showing missing columns. How do I fix the code to display the correct information?

enter image description here

from pgmpy.models import BayesianModel

model = BayesianModel([('Antilock', 'Accident'), ('DrivingSkill', 'DrivQuality'), ('DrivQuality', 'Accident')])

# Maximum Likelihood Estimation
from pgmpy.estimators import MaximumLikelihoodEstimator 
mle = MaximumLikelihoodEstimator(model, df)

# Pour toutes les variables :
model.fit(df, estimator=MaximumLikelihoodEstimator)
for cpd in model.get_cpds():
  print(cpd)

Note1: code to get the data from R

data(insurance)

write.csv(insurance,"C:/Users/Administrator/OneDrive/University of London/AI/Assignment 1/insurance.csv")

Note2: if you are running this in colab you will need to install the package

!pip install pgmpy
pgmpy google-colaboratory python
1 Answers
  1. Open file "pgmpy/factors/discrete/CPD.py"

  1. In class "TabularCPD(DiscreteFactor)",

    fine the line "cdf_str = self._truncate_strtable(cdf_str)"

    (This line is in "def _make_table_str (~)")

  1. cdf_str = self._truncate_strtable(cdf_str)

    make this line deactivate by add "#" --> # cdf_str = self._truncate_strtable(cdf_str)

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