distributions_study
distributions_study is a Python library for dealing with Gaussian and Binomial Distribution and allows you to perform analysis of both. For extensions, you can read the data from txt file for both the distribution types. Analysis of the data will be easy with the help of different methods this package contains
1. calculate_mean 2. calculate_stdev 3. pdf 4. plot_bar #for binomial distribution 5. plot_histogram #for Gaussian distribution 6. plot_bar_pdf #plotting PDF for Binomial distribution 7. plot_histogram_pdf #plotting PDF for Gaussian distribution 8. read_data_file #for reading the .txt file Data formats for txt file 1. Gaussian : comma separated values 2. Binomial : 0,1 list of experiment outcomes
Installation
Use the package manager pip to install distributions_study.
pip install distributions_study
Usage
import distributions_study
distributions_study.Gaussian(10,4) # returns Gaussian distribution object with mean 10, standard deviation 4
distributions_study.Binomial(0.4,25) # returns Binomial distribution object with success event probability 0.4, size of distribution 25
Contributing
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.
License
Release files for distributions-study 1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| distributions_study-1.7.tar.gz | 5.1 kB | Details |
Release files / distributions_study-1.7.tar.gz
| Download URL | distributions_study-1.7.tar.gz |
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| Size | 5.1 kB |
| Tags | Source |
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