{ "info": { "author": "Jacques Coetzee", "author_email": "j.coetzee0@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# Coinpy\n\nCoinpy is a package to handle distribution data. There's a specific focus on gaussian and binomial distributions\n\nFunctions include returning the mean, standard deviation and plots of given dataset. You can also use coinpy to import data and add gaussian curves.\n\nMade with assistance of [Udacity](https://www.udacity.com/) during the data science course in object-oriented programming.\n\n## Installation\n\nUse the package manager [pip](https://pip.pypa.io/en/stable/) to install coinpy.\n\n```bash\npip install coinpy\n```\n\n## Usage\n\n```python\nfrom coinpy import Gaussian\n\ngaussian_one = Gaussian()\n\ngaussian_one.read_data_file('numbers.txt', True)\n# read .txt file from local directory\n\ngaussian_one.calculate_mean()\n# returns and stores float mean 25 for example\n\ngaussian_one.calculate_stdev()\n# returns and stores standard dev 2 for example\n\ngaussian_one.pdf(5)\n# given x (or 5) returns prob density function 0.19947\n\ngaussian_one.plot_histogram_pdf()\n# returns normalized histogram and prob density function\n\n```\n\n## Contributing\nPull requests are welcome. 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