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beprof-0.1.4
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مشاهده بیشترتوضیحات
Beam Profile Analysing Tools
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | beprof-0.1.4 |
| نام | beprof |
| نسخه کتابخانه | 0.1.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Leszek Grzanka, Mateusz Krakowski, Agnieszka Rudnicka |
| ایمیل نویسنده | grzanka@agh.edu.pl |
| آدرس صفحه اصلی | https://github.com/DataMedSci/beprof |
| آدرس اینترنتی | https://pypi.org/project/beprof/ |
| مجوز | GPL |
===============================
beprof
===============================
.. image:: https://img.shields.io/pypi/v/beprof.svg
:target: https://pypi.python.org/pypi/beprof
.. image:: https://img.shields.io/travis/DataMedSci/beprof.svg
:target: https://travis-ci.org/DataMedSci/beprof
.. image:: https://readthedocs.org/projects/beprof/badge/?version=latest
:target: https://readthedocs.org/projects/beprof/?badge=latest
:alt: Documentation Status
========
Overview
========
.. start-badges
.. list-table::
:stub-columns: 1
* - docs
- |docs|
* - tests
- |travis| |appveyor| |requires| |codeclimate|
* - package
- |version| |downloads| |wheel| |supported-versions| |supported-implementations|
.. |docs| image:: https://readthedocs.org/projects/beprof/badge/?style=flat
:target: https://readthedocs.org/projects/beprof
:alt: Documentation Status
.. |travis| image:: https://travis-ci.org/DataMedSci/beprof.svg?branch=master
:alt: Travis-CI Build Status
:target: https://travis-ci.org/DataMedSci/beprof
.. |appveyor| image:: https://ci.appveyor.com/api/projects/status/y06jw47ir3gvvgta?svg=true
:alt: Appveyor Build Status
:target: https://ci.appveyor.com/project/grzanka/beprof
.. |requires| image:: https://requires.io/github/DataMedSci/beprof/requirements.svg?branch=master
:alt: Requirements Status
:target: https://requires.io/github/DataMedSci/beprof/requirements/?branch=master
.. |codeclimate| image:: https://codeclimate.com/github/DataMedSci/beprof/badges/issue_count.svg
:target: https://codeclimate.com/github/DataMedSci/beprof
:alt: Issue Count
.. |version| image:: https://img.shields.io/pypi/v/beprof.svg?style=flat
:alt: PyPI Package latest release
:target: https://pypi.python.org/pypi/beprof
.. |downloads| image:: https://img.shields.io/pypi/dm/beprof.svg?style=flat
:alt: PyPI Package monthly downloads
:target: https://pypi.python.org/pypi/beprof
.. |wheel| image:: https://img.shields.io/pypi/wheel/beprof.svg?style=flat
:alt: PyPI Wheel
:target: https://pypi.python.org/pypi/beprof
.. |supported-versions| image:: https://img.shields.io/pypi/pyversions/beprof.svg?style=flat
:alt: Supported versions
:target: https://pypi.python.org/pypi/beprof
.. |supported-implementations| image:: https://img.shields.io/pypi/implementation/beprof.svg?style=flat
:alt: Supported implementations
:target: https://pypi.python.org/pypi/beprof
.. end-badges
Overv.io issue board: https://overv.io/DataMedSci/beprof/
Beam Profile Analysing Tools
Library provides methods to work with Beam Profiles which are sets of points
(2-D with optional metadata) sorted by one of coordinates.
cd
beprof is based on nparray class from numpy, and it provides
numerous tools for different computations and data analysis.
Installation
============
Current version available on testing PyPi server, although once a
stable version is ready it will be pushed to official PyPi repo.
For now, installation can be done from this GIT repository, using::
pip install setuptools versioneer
pip install git+https://github.com/DataMedSci/beprof.git
To unistall, simply use::
pip uninstall beprof
Documentation
=============
https://beprof.readthedocs.io/
Features
--------
Once you install beprof, you should be able to import is as a python module
Using ipython the code would be i.e.::
import beprof
from beprof import curve #imports curve module
from beprof import profile #imports profile module
Once you import necessary modules, you can use them to work with i.e. profiles::
from beprof import profile
dir(profile)
p = profile.Profile([[0, 1], [1, -1], [2, 3], [4, 0]])
print(p)
You can also use another modules as numpy or matplotlib to work with beprof::
#assuming you already defined p as above
import numpy as np
import matplotlib.pyplot as plt
foo = np.asarray(p)
print(foo.shape())
plt.plot(foo[:,0], foo[:,1])
plt.show()
Note that beprof is a library and end-users shouldn't "run it".
It is also strongly discouraged to use *git clone* to download code.
Git is only for developers, end-users should use pip installation.
If you are interested in development - have a look at CONTRIBUTING_ section.
.. _CONTRIBUTING: https://github.com/DataMedSci/beprof/blob/master/CONTRIBUTING.rst
Credits
---------
This package was created with Cookiecutter_ and the `grzanka/cookiecutter-pip-docker-versioneer`_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`grzanka/cookiecutter-pip-docker-versioneer`: https://github.com/grzanka/cookiecutter-pip-docker-versioneer
نیازمندی
| مقدار | نام |
|---|---|
| >=1.8) | numpy |
| <1.12,>=1.8) | numpy |
نحوه نصب
نصب پکیج whl beprof-0.1.4:
pip install beprof-0.1.4.whl
نصب پکیج tar.gz beprof-0.1.4:
pip install beprof-0.1.4.tar.gz