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cmomy-0.1.7
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Central (co)moment calculation/manipulation
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | cmomy-0.1.7 |
| نام | cmomy |
| نسخه کتابخانه | 0.1.7 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | William P. Krekelberg |
| ایمیل نویسنده | wpk@nist.gov |
| آدرس صفحه اصلی | https://github.com/wpk-nist-gov/cmomy |
| آدرس اینترنتی | https://pypi.org/project/cmomy/ |
| مجوز | NIST license |
=====
cmomy
=====
Central (co)moment calculation/manipulation
* Free software: NIST license
Overview
--------
``cmomy`` is an open source package to calculate central moments and co-moments in a numerical stable and direct way.
Behind the scenes, ``cmomy`` makes use of Numba_ to rapidly calculate moments. A good introduction to the type of formulas used can
be found `here <https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance>`_.
Features
--------
* Fast calculation of central moments and central co-moments with weights
* Support for scalar or vector inputs
* numpy and xarray api's
Links
-----
* `Github <https://github.com/usnistgov/cmomy>`__
* `Documentation <https://pages.nist.gov/cmomy/index.html>`__
Installation
------------
Use one of the following
.. code:: bash
pip install cmomy
.. code:: bash
conda install -c wpk-nist cmomy
Basic Usage
-----------
For a quick introduction to the usage of ``cmomy``, please see the `basic usage <https://github.com/usnistgov/cmomy/blob/master/docs/notebooks/usage_notebook.ipynb>`__
Note on caching
---------------
This code makes extensive use of the numba python package. This uses a
jit compiler to speed up vital code sections. This means that the first
time a function called, it has to compile the underlying code. However,
caching has been implemented. Therefore, the very first time you run a
function, it may be slow. But all subsequent uses (including other
sessions) will be already compiled.
Testing
-------
Tests are packaged with the distribution intentionally. To test code
run:
.. code:: bash
pytest --pyargs cmomy
By running the tests once, you create a cache of the numba code for most
cases. The first time you run the tests, it will take a while (about 1.5
min on my machine). However, subsequent runs will be much faster (about
3 seconds on my machine).
Credits
-------
This package was created with Cookiecutter_ and the `wpk-nist-gov/cookiecutter-pypackage`_ Project template forked from `audreyr/cookiecutter-pypackage`_.
.. _Numba: https://numba.pydata.org/
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`wpk-nist-gov/cookiecutter-pypackage`: https://github.com/wpk-nist-gov/cookiecutter-pypackage
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage
=======
History
=======
0.0.5 (2020-12-30)
------------------
* First release on PyPI.
This software was developed by employees of the National Institute of Standards
and Technology (NIST), an agency of the Federal Government. Pursuant to title 17
United States Code Section 105, works of NIST employees are not subject to
copyright protection in the United States and are considered to be in the public
domain. Permission to freely use, copy, modify, and distribute this software and
its documentation without fee is hereby granted, provided that this notice and
disclaimer of warranty appears in all copies.
THE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER
EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY
THAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM
INFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE
SOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT
SHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT,
INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR
IN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY,
CONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR
PROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT
OF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER.
Distributions of NIST software should also include copyright and licensing
statements of any third-party software that are legally bundled with the code in
compliance with the conditions of those licenses.
نیازمندی
| مقدار | نام |
|---|---|
| >=1.20 | numpy |
| >=0.50 | numba |
| >=0.16 | xarray |
| - | typing-extensions |
| - | custom-inherit |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl cmomy-0.1.7:
pip install cmomy-0.1.7.whl
نصب پکیج tar.gz cmomy-0.1.7:
pip install cmomy-0.1.7.tar.gz