python distfit

distfit is a Python package for fitting and comparing probability distributions. It provides a simple interface for fitting a variety of probability distributions to data, including continuous and discrete distributions. The package also includes tools for comparing the goodness of fit of different distributions and for generating random samples from fitted distributions.

distfit is useful for a variety of applications in data analysis and modeling, including modeling the distribution of a dataset, simulating data from a fitted distribution, and testing the goodness of fit of different distribution models. The package is easy to use and provides a convenient way to work with probability distributions in Python.

Some of the key features of distfit include:

- A simple interface for fitting a variety of probability distributions to data
- Tools for comparing the goodness of fit of different distributions
- Support for both continuous and discrete distributions
- Tools for generating random samples from fitted distributions
- Integration with other Python packages for data analysis and modeling, such as pandas and numpy

Overall, distfit is a powerful tool for working with probability distributions in Python, and it can be a valuable addition to any data analysis or modeling workflow.