معرفی شرکت ها
arpes-3.0.1
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Modular data analysis code for angle resolved photoemission spectroscopy (ARPES)
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | arpes-3.0.1 |
| نام | arpes |
| نسخه کتابخانه | 3.0.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Conrad Stansbury |
| ایمیل نویسنده | chstan@berkeley.edu |
| آدرس صفحه اصلی | https://gitlab.com/lanzara-group/python-arpes |
| آدرس اینترنتی | https://pypi.org/project/arpes/ |
| مجوز | GPLv3 |
+-----------------------+
| **Documentation** |
+=======================+
| |Documentation| |
+-----------------------+
.. |Documentation| image:: https://img.shields.io/badge/api-reference-blue.svg
:target: https://arpes.readthedocs.io/en/latest/
|test_status| |coverage| |docs_status| |conda| |pypi|
.. |docs_status| image:: https://readthedocs.org/projects/arpes/badge/?version=latest&style=flat
:target: https://arpes.readthedocs.io/en/latest/
.. |coverage| image:: https://codecov.io/gh/chstan/arpes/branch/master/graph/badge.svg?token=mVrFuVRr3p
:target: https://codecov.io/gh/chstan/arpes
.. |test_status| image:: https://github.com/chstan/arpes/actions/workflows/test.yml/badge.svg?branch=master
:target: https://github.com/chstan/arpes/actions/workflows/test.yml
.. |pypi| image:: https://img.shields.io/pypi/v/arpes
:target: https://pypi.org/project/arpes/
.. |conda| image:: https://img.shields.io/conda/v/arpes/arpes.svg
:target: https://anaconda.org/arpes/arpes
PyARPES
=======
.. image:: docs/source/_static/video/intro-video.gif
========
PyARPES simplifies the analysis and collection of angle-resolved photoemission spectroscopy (ARPES) and emphasizes
* modern, best practices for data science
* support for a standard library of ARPES analysis tools mirroring those available in Igor Pro
* interactive and extensible analysis tools
It supports a variety of data formats from synchrotron and laser-ARPES sources including ARPES at the Advanced
Light Source (ALS), the data produced by Scienta Omicron GmbH's "SES Wrapper", data and experiment files from
Igor Pro, NeXuS files, and others.
To learn more about installing and using PyARPES in your analysis or data collection application,
visit `the documentation site`_.
PyARPES is currently developed by Conrad Stansbury of the Lanzara Group at the University of California, Berkeley.
Installation
============
PyARPES can be installed from source, or using either ``pip`` or ``conda`` into a Python 3.6 or 3.7 environment.
``conda`` is preferred as a package manager in order to facilitate installing the libraries for reading HDF and
NetCDF files.
Pip installation
----------------
::
pip install arpes
Conda installation
------------------
PyARPES is distributed through the ``arpes`` Anaconda channel, but includes dependencies through ``conda-forge``.
Please make sure not to put conda-forge above the main channel priority, as this can cause issues with installing BLAS.
A minimal install looks like
::
conda config --append channels conda-forge
conda install -c arpes -c conda-forge arpes
Local installation from source
------------------------------
If you want to modify the source for PyARPES as you use it, you might prefer a local installation from source.
Details can be found on `the documentation site`_.
Suggested steps
---------------
1. Clone or duplicate the folder structure in the repository ``arpes-analysis-scaffold``,
skipping the example folder and data if you like
2. Install and configure standard tools like Jupyter_ or Jupyter Lab. Notes on installing
and configuring Jupyter based installations can be found in ``jupyter.md``
3. Explore the documentation and example notebooks at `the documentation site`_.
Contact
=======
Questions, difficulties, and suggestions can be directed to Conrad Stansbury (chstan@berkeley.edu)
or added to the repository as an issue. In the case of trouble, also check the `FAQ`_.
Copyright |copy| 2018-2019 by Conrad Stansbury, all rights reserved.
.. |copy| unicode:: U+000A9 .. COPYRIGHT SIGN
.. _Jupyter: https://jupyter.org/
.. _the documentation site: https://arpes.readthedocs.io/en/latest
.. _contributing: https://arpes.readthedocs.io/en/latest/contributing
.. _FAQ: https://arpes.readthedocs.io/en/latest/faq
نیازمندی
| مقدار | نام |
|---|---|
| - | astropy |
| >=0.16.1 | xarray |
| >=3.2.1 | h5py |
| <0.13.0,>=0.12.0 | pyqtgraph |
| ==5.15 | PyQt5 |
| <2.0.0,>=1.5.0 | netCDF4 |
| - | colorcet |
| - | pint |
| - | pandas |
| <2.0.0,>=1.20.0 | numpy |
| <2.0.0,>=1.6.0 | scipy |
| <2.0.0,>=1.0.0 | lmfit |
| - | scikit-learn |
| >=3.0.3 | matplotlib |
| <3.0.0,>=2.0.0 | bokeh |
| <8.0.0,>=7.0.1 | ipywidgets |
| - | packaging |
| - | colorama |
| - | imageio |
| - | titlecase |
| - | tqdm |
| - | rx |
| - | dill |
| <4.0.0,>=3.20.0 | ase |
| <1.0.0,>=0.53.0 | numba |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8.0,<3.9 | Python |
نحوه نصب
نصب پکیج whl arpes-3.0.1:
pip install arpes-3.0.1.whl
نصب پکیج tar.gz arpes-3.0.1:
pip install arpes-3.0.1.tar.gz