Statistics distributions from 265
Project description
DistributionPackage
A pip package which will hopefully have all the distributions from STATS265(Stats 1) - Ualberta soon
Currently:
- Bernoulli
- Binomial
- Gaussian (Normal)
- Poisson
If you a bit hesitant you can try it out on a virtual environment first
- https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
- https://mothergeo-py.readthedocs.io/en/latest/development/how-to/venv-win.html
Testing was done using unittest library https://docs.python.org/3/library/unittest.html
Installation: pip install stats265
Some need packages: * matplotlib
Documentation:
* Calling a distribution
* from stats265 import Bernoulli
* g = Bernolli(p = 0.7)
* from stats265 import Gaussian
* g = Gaussian(mean, stdev)
* from stats265 import Binomial
* g = Binomial(p = 0.7, n = 20)
* from stats265 import Poisson
* g = Poisson(mean)
* Methods of distributions (varies for obvious reasons)
* calculate_mean()
calculates and returns the mean
* calculate_stdev()
calculates and returns the standard deviation of the distribution
* plot_histogram()
plots a histogram of the data
* pdf(x)
returns probability density function for a value x
* plot_histogram_pdf()
Plots histogram of data and pdf
* add(Distribution)
Add a type of distribution with another
same type only for now
* __repr__():
Allows for representation on a print call
Installation and Dependencies:
-
Installation: pip install stats265
-
Dependencies:
- Matplotlib: pip install matplotlib
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