My code bog down on drawing pdf if best fit distribution is T distribution

[bbxudavid]

Use distfit to find the best theoretical distribution for the claim cost data
dfit = distfit(todf=True)
result = dfit.fit_transform(cost)
dfit.plot(chart='pdf')

[bbxudavid]

With distfit in python, My code bog down when I trying to draw pdf of the best distribution if best fit distribution is T distribution.

[erdogant]

Not sure what you mean with "My code bog down".

[bbxudavid]

It is unable to progress to draw plot dfit.plot(chart='pdf') if best fit distribution is T distribution.

[erdogant]

Can you show the error by example?
This works for me.

from distfit import distfit
import numpy as np

dfit = distfit(todf=True, distr='t')
cost = np.random.normal(0, 2, 10000)
result = dfit.fit_transform(cost)
dfit.plot(chart='pdf')

[bbxudavid]

When I run code in python visual in Power BI, it always sticks in drawing plot dfit.plot(chart='pdf') if best fit distribution is T distribution.

[erdogant]

Interesting. But I am not sure how I can debug this error using your configurations.

You can try to open the distfit.py file, go to def _plot_parametric and add various print statements to see how far it comes before it gets stuck. If I know at which lines it hampers, I can then look at it.