Coinpy is a package to handle distribution data. There's a specific focus on gaussian and binomial distributions
Functions include returning the mean, standard deviation and plots of given dataset. You can also use coinpy to import data and add gaussian curves.
Made with assistance of Udacity during the data science course in object-oriented programming.
Use the package manager pip to install coinpy.
pip install coinpy
from coinpy import Gaussian gaussian_one = Gaussian() gaussian_one.read_data_file('numbers.txt', True) # read .txt file from local directory gaussian_one.calculate_mean() # returns and stores float mean 25 for example gaussian_one.calculate_stdev() # returns and stores standard dev 2 for example gaussian_one.pdf(5) # given x (or 5) returns prob density function 0.19947 gaussian_one.plot_histogram_pdf() # returns normalized histogram and prob density function
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.
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