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probapy

PyPI version

probapy is a Python library for calculating probability density function of a Gaussian or a binomial distribution

Installation

Use the package manager pip to install probapy.

pip install probapy

Usage

import probapy
#gaussian 
gaussian = Gaussian(25, 2)
gaussian.read_data_file('numbers.txt')
mean = gaussian.calculate_mean()
stdev = gaussian.calculate_stdev()
pdf = gaussian.pdf(25)


gaussian_one = Gaussian(25, 3)
gaussian_two = Gaussian(30, 4)
gaussian_sum = gaussian_one + gaussian_two #sum of 2 or more Gaussian distributions

#binomial
binomial = Binomial(0.4, 20)
binomial.read_data_file('numbers_binomial.txt')
mean = binomial.calculate_mean()
stdev = binomial.calculate_stdev()

binomial.replace_stats_with_data()
pdf = binomial.pdf(5)

binomial_one = Binomial(.4, 20)
binomial_two = Binomial(.4, 60)
binomial_sum = binomial_one + binomial_two #sum of 2 or more binomial distributions

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

License

MIT

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probapy is a Python library for calculating probability density function of a Gaussian or a binomial distribution

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