A small pure-python package for math relatedutility functions.
Project description
comath
#########
|PyPI-Status| |PyPI-Versions| |Build-Status| |Codecov| |LICENCE|
A small pure-python package for math-related utility functions.
.. code-block:: python
>>> from comath.array import percentile
>>> percentile([4,6,8,9,11], 0.4)
7.0
.. contents::
.. section-numbering::
Installation
============
Install ``comath`` with:
.. code-block:: bash
pip install comath
Use
===
``comath`` is divided into four sub-modules.
array
----
Array operations like percentile and median.
func
----
Utility function like a smooth step function and closest larger power of 2.
metric
------
Computing moving metrics (moving average, precision and variance).
segment
----------
Defines a one-dimensional line segment.
Contributing
============
Package author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.
Installing for development
--------------------------
Clone:
.. code-block:: bash
git clone git@github.com:shaypal5/comath.git
Install in development mode with test dependencies:
.. code-block:: bash
cd comath
pip install -e ".[test]"
Running the tests
-----------------
To run the tests, use:
.. code-block:: bash
python -m pytest --cov=comath --doctest-modules
Adding documentation
--------------------
This project is documented using the `numpy docstring conventions`_, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings (in my personal opinion, of course). When documenting code you add to this project, please follow `these conventions`_.
.. _`numpy docstring conventions`: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt
.. _`these conventions`: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt
Credits
=======
Created by Shay Palachy (shay.palachy@gmail.com).
.. |PyPI-Status| image:: https://img.shields.io/pypi/v/comath.svg
:target: https://pypi.python.org/pypi/comath
.. |PyPI-Versions| image:: https://img.shields.io/pypi/pyversions/comath.svg
:target: https://pypi.python.org/pypi/comath
.. |Build-Status| image:: https://travis-ci.org/shaypal5/comath.svg?branch=master
:target: https://travis-ci.org/shaypal5/comath
.. |LICENCE| image:: https://img.shields.io/pypi/l/comath.svg
:target: https://pypi.python.org/pypi/comath
.. |Codecov| image:: https://codecov.io/github/shaypal5/comath/coverage.svg?branch=master
:target: https://codecov.io/github/shaypal5/comath?branch=master
#########
|PyPI-Status| |PyPI-Versions| |Build-Status| |Codecov| |LICENCE|
A small pure-python package for math-related utility functions.
.. code-block:: python
>>> from comath.array import percentile
>>> percentile([4,6,8,9,11], 0.4)
7.0
.. contents::
.. section-numbering::
Installation
============
Install ``comath`` with:
.. code-block:: bash
pip install comath
Use
===
``comath`` is divided into four sub-modules.
array
----
Array operations like percentile and median.
func
----
Utility function like a smooth step function and closest larger power of 2.
metric
------
Computing moving metrics (moving average, precision and variance).
segment
----------
Defines a one-dimensional line segment.
Contributing
============
Package author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.
Installing for development
--------------------------
Clone:
.. code-block:: bash
git clone git@github.com:shaypal5/comath.git
Install in development mode with test dependencies:
.. code-block:: bash
cd comath
pip install -e ".[test]"
Running the tests
-----------------
To run the tests, use:
.. code-block:: bash
python -m pytest --cov=comath --doctest-modules
Adding documentation
--------------------
This project is documented using the `numpy docstring conventions`_, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings (in my personal opinion, of course). When documenting code you add to this project, please follow `these conventions`_.
.. _`numpy docstring conventions`: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt
.. _`these conventions`: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt
Credits
=======
Created by Shay Palachy (shay.palachy@gmail.com).
.. |PyPI-Status| image:: https://img.shields.io/pypi/v/comath.svg
:target: https://pypi.python.org/pypi/comath
.. |PyPI-Versions| image:: https://img.shields.io/pypi/pyversions/comath.svg
:target: https://pypi.python.org/pypi/comath
.. |Build-Status| image:: https://travis-ci.org/shaypal5/comath.svg?branch=master
:target: https://travis-ci.org/shaypal5/comath
.. |LICENCE| image:: https://img.shields.io/pypi/l/comath.svg
:target: https://pypi.python.org/pypi/comath
.. |Codecov| image:: https://codecov.io/github/shaypal5/comath/coverage.svg?branch=master
:target: https://codecov.io/github/shaypal5/comath?branch=master
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