stats265

Stats265軟件包

一個PIP軟件包，希望將擁有STATS265（Stats 1）的所有分佈 - Ualberta即將

現在：

• 伯努利
• 二項式
• 高斯（正常）
• 泊松

如果您像往常一樣厭惡風險，可以先在虛擬環境上嘗試

• https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
• https://mothergeo-py.readthedocs.io/en/latest/development/how-to/how-to/venv-win.html

使用Unittest庫進行測試https://docs.python.org/3/library/unittest.html

文件:

 * 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)
    * read_data_file(file_name)
        reads the data in said file into our object, and now we can play around with the data

    * 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

    * Distribution_1 + Distribution_2 (__add__)
        Add a two distributions
            same type only for now

    * print(Distribution) (__repr__)
        Allows for representation on a print call

安裝和依賴項：

• 安裝：

  • PIP安裝統計265

• 依賴性：

  • matplotlib：
    • PIP安裝matplotlib