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Gaussian and Binomial distributions

Project description

Gb_probability_dist package

Gb_probability_dist is a Python package that provides Gaussian and Binomial distribution implementations. With these classes you can instantiate an object in a distribution and then plot it or load data from a file. You can also add one with another distribution of the same type to get a third one.

Installation


Dependencies

gb_probability_dist requires:

  • Python
  • Matplotlib

gb_probability_dist works with any version of python and matplotlib.

User installation

You can install it easily with pip.

pip install gb_probability_dist

Create your first probability distributions

$ python
>>> from gb_probability_dist import Gaussian, Binomial
>>> Gaussian(10, 7)
mean 10, standard deviation 7
>>> Binomial(.4, 25)
mean 10.0, standard deviation 2.4494897422783178, n 25
>>> new_gaussian = Gaussian(25,2) + Gaussian(50,5)
>> new_gaussian
mean 75, standard deviation 5.385164807134504

Project details


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This version

1.3

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