Metadata-Version: 1.0
Name: dsfaker
Version: 0.2.2
Summary: Data Science Faker
Home-page: http://github.com/dubrzr/dsfaker
Author: dubrzr
Author-email: nota@valid.addr
License: MIT
Description: DataScienceFaker
        ================
        
        |Build Status| |codecov| |doc| |pypi_v| |pypi_month|
        
        DSFaker aims at providing data scientists with functions for generating
        and streaming arrays of data such as:
        
        -  Time-series
        -  Date/Datetime
        -  Autoincrement & random autoincrement
        -  Trigonometric (Sin, Sinh, Cos, Cosh, Tan, Tanh)
        -  Random distributions
        -  Pattern repetition
        -  Noise application
        
        Basic operators between generators and/or python int/float types (+, -,
        /, //, \*, …) are also implemented.
        
        To generate such data, you can specify the distribution you want amongst
        the ones provided by numpy.random. Or you can also implement your own
        distribution to generate data.
        
        Installation
        ------------
        
        .. code-block:: shell-session
        
            pip install dsfaker
        
        Documentation
        -------------
        
        The documentation is available here: https://dubrzr.github.io/dsfaker/.
        
        
        .. |Build Status| image:: https://travis-ci.org/Dubrzr/dsfaker.svg?branch=master
           :target: https://travis-ci.org/Dubrzr/dsfaker
        .. |codecov| image:: https://codecov.io/gh/Dubrzr/dsfaker/branch/master/graph/badge.svg
           :target: https://codecov.io/gh/Dubrzr/dsfaker
        .. |doc| image:: https://img.shields.io/badge/docs-latest-brightgreen.svg
           :target: https://dubrzr.github.io/dsfaker/
        .. |pypi_v| image:: https://img.shields.io/pypi/v/dsfaker.svg
           :target: https://pypi.python.org/pypi/dsfaker
        .. |pypi_month| image:: https://img.shields.io/pypi/dm/dsfaker.svg
           :target: https://pypi.python.org/pypi/dsfaker
        
Platform: UNKNOWN
