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        "author": "Gaurav Ansal",
        "author_email": "ansal.gaurav@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# udc-dsnd-distributions package\n\nThis package provides the Gaussian distribution and Binomial distribution classes.\n\n* Gaussian - Gaussian distribution class for calculating and visualizing a Gaussian distribution.\nAttributes:\n\t\tmean (float) - representing the mean value of the distribution.\n\t\tstdev (float) - representing the standard deviation of the distribution.\n\t\tdata_list (list of floats) - a list of floats extracted from the data file.\n                \nMethods:\n\t\tcalculate_mean() - Function to calculate the mean of the data set.\n\t\tcalculate_stdev() - Function to calculate the standard deviation of the data set.\n\t\tplot_histogram() -  Function to output a histogram of the instance variable data using matplotlib pyplot library.\n\t\tread_data_file(filename) -  Function to read in data from a txt file. The txt file should have one number (float) per line. The \t\t\tnumbers are stored in the data attribute.     \n\t\tpdf(x) - Probability density function calculator for the gaussian distribution\n\t\t\tArgs:\n\t\t\t\tx (float): point for calculating the probability density function\n\t\t\tReturns:\n\t\t\t\tfloat: probability density function output\n\t\tplot_histogram_pdf(n_spaces = 50) - Function to plot the normalized histogram of the data and a plot of the probability density \t\t\tfunction along the same range\n\t\t\tArgs:\n\t\t\t\tn_spaces (int): number of data points \n\t\t\tReturns:\n\t\t\t\tlist: x values for the pdf plot\n\t\t\t\tlist: y values for the pdf plot\n\t\t__add__(other) - Function to add together two Gaussian distributions\n\t\tArgs:\n\t\t\tother (Gaussian): Gaussian instance\n\t\tReturns:\n\t\t\tGaussian: Gaussian distribution\n \t\t__repr__() - Function to output the characteristics of the Gaussian instance\n               \n            \n* Binomial - Binomial distribution class for calculating and visualizing a Binomial distribution.\n Attributes:\n\t\tmean (float) representing the mean value of the distribution\n\t\tstdev (float) representing the standard deviation of the distribution\n\t\tdata_list (list of floats) a list of floats to be extracted from the data file\n\t\tp (float) representing the probability of an event occurring\n\t\tn (int) number of trials\n        \nMethods:\n\t\tcalculate_mean() - Function to calculate the mean from p and n\n\t\tcalculate_stdev() - Function to calculate the standard deviation from p and n.\n\t\tread_data_file(filename) -  Function to read in data from a txt file. The txt file should have one number (float) per line. The \t\t\tnumbers are stored in the data attribute. \n\t\treplace_stats_with_data() - Function to calculate p and n from the data set\n\t\tArgs: \n\t\t\tNone\n\t\tReturns: \n\t\t\tfloat: the p value\n\t\t\tfloat: the n value\n\t\tplot_bar() - Function to output a histogram of the instance variable data using matplotlib pyplot library.\n\t\tpdf(k) - Probability density function calculator for the gaussian distribution.\n\t\tArgs:\n\t\t\tx (float): point for calculating the probability density function\n\t\tReturns:\n\t\t\tfloat: probability density function output\n\t\tplot_bar_pdf() - Function to plot the pdf of the binomial distribution\n\t\tArgs:\n\t\t\tNone \n\t\tReturns:\n\t\t\tlist: x values for the pdf plot\n\t\t\tlist: y values for the pdf plot        \n\t\t__add__(other) -  Function to add together two Binomial distributions with equal p\n\t\tArgs:\n\t\t\tother (Binomial): Binomial instance            \n\t\tReturns:\n\t\t\tBinomial: Binomial distribution        \n\t\t__repr__() - Function to output the characteristics of the Binomial instance.\n        \n\n\n# Files\n\n* Generaldistribution.py - contains Distribution class, its attributes and methods being inherited by Gaussian and Binomial class.\n* Gaussiandistribution.py - contains Gaussian class, its attributes and methods stated above in udc-dsnd-distributions package summary.\n* Binomialdistribution.py - contains Binomial class, its attributes and methods stated above in udc-dsnd-distributions package summary.\n\n# Installation\n* The code should run with no issues using Python versions 3.*.\n* No extra besides the built-in libraries from Anaconda needed to run this project\n\t\tMath\n\t\tmatplotlib",
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