pymodaq_data

Allows data management within the PyMoDAQ ecosystem and HDF5 compatibility

https://github.com/pymodaq/pymodaq_data

Science Score: 52.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
    Organization pymodaq has institutional domain (pymodaq.cnrs.fr)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.5%) to scientific vocabulary

Keywords

data instrumentation
Last synced: 7 months ago · JSON representation ·

Repository

Allows data management within the PyMoDAQ ecosystem and HDF5 compatibility

Basic Info
  • Host: GitHub
  • Owner: PyMoDAQ
  • License: mit
  • Language: Python
  • Default Branch: 5.0.x_dev
  • Homepage: https://pymodaq.cnrs.fr
  • Size: 200 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 4
  • Open Issues: 2
  • Releases: 20
Topics
data instrumentation
Created over 1 year ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.rst

PyMoDAQ Data
############

.. image:: https://img.shields.io/pypi/v/pymodaq_data.svg
   :target: https://pypi.org/project/pymodaq_data/
   :alt: Latest Version

.. image:: https://readthedocs.org/projects/pymodaq/badge/?version=latest
   :target: https://pymodaq.readthedocs.io/en/stable/?badge=latest
   :alt: Documentation Status

.. image:: https://codecov.io/gh/PyMoDAQ/pymodaq_data/branch/5.0.x_dev/graph/badge.svg?token=H32JflMEYR 
 :target: https://codecov.io/gh/PyMoDAQ/pymodaq_data

+-------------+-------------+---------------+
|             | Linux       | Windows       |
+=============+=============+===============+
| Python 3.9  | |39-linux|  | |39-windows|  |
+-------------+-------------+---------------+
| Python 3.10 | |310-linux| | |310-windows| |
+-------------+-------------+---------------+
| Python 3.11 | |311-linux| | |311-windows| |
+-------------+-------------+---------------+
| Python 3.12 | |312-linux| | |312-windows| |
+-------------+-------------+---------------+




.. |39-linux| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Linux_3.9.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |310-linux| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Linux_3.10.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |311-linux| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Linux_3.11.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |312-linux| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Linux_3.12.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |39-windows| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Windows_3.9.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |310-windows| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Windows_3.10.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |311-windows| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Windows_3.11.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml

.. |312-windows| image:: https://raw.githubusercontent.com/PyMoDAQ/pymodaq_data/badges/5.0.x_dev/tests_Windows_3.12.svg
    :target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/tests.yml




.. figure:: http://pymodaq.cnrs.fr/en/latest/_static/splash.png
   :alt: shortcut


PyMoDAQ__, Modular Data Acquisition with Python, is a set of **python** modules used to interface any kind of
experiments. It simplifies the interaction with detector and actuator hardware to go straight to the data acquisition
of interest.

__ https://pymodaq.readthedocs.io/en/stable/?badge=latest

`PyMoDAQ data`__ is a set of utilities (constants, methods and classes) that are used
for Data Management. It is heavily used with the PyMoDAQ framework but can also be used as a standalone
package for data management in another context.

__ https://pymodaq.cnrs.fr/en/latest/developer_folder/data_management.html

What are Data?
--------------

Data are objects with many characteristics able to properly describe real data taken on an experiment
or calculated from theory:


*  a type: float, int, ...
*  a dimensionality: Data0D, Data1D, Data2D and higher
*  units (dealt with the pint python package)
*  axes
*  actual data as numpy arrays
*  uncertainty/error bars
* ...


.. figure:: https://pymodaq.cnrs.fr/en/latest/_images/data.png

   What is PyMoDAQ's data?.

The `PyMoDAQ Data` package
--------------------------

Because of this variety, `PyMoDAQ Data` introduce a set of objects including metadata (for instance the time of
acquisition) and various methods and properties to manipulate
them during analysis for instance (getting name, slicing, concatenating...),
save them and plot them (given you installed one of the available backend: *matplotlib* or *Qt* (
through the `pymodaq_gui` package)

To learn more, check the documentation__.

__ https://pymodaq.cnrs.fr/en/latest/data_management.html


Published under the MIT FREE SOFTWARE LICENSE

GitHub repo: https://github.com/PyMoDAQ

Documentation: http://pymodaq.cnrs.fr/

Owner

  • Name: PyMoDAQ
  • Login: PyMoDAQ
  • Kind: organization
  • Location: Toulouse - France

Modular Data Acquisition with Python

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Weber"
  given-names: "Sébastien J."
  orcid: "https://orcid.org/0000-0001-8531-5551"
title: "PyMoDAQ: An open-source Python-based software for modular data acquisition"
version: 4.2.4
doi: 10.1063/5.0032116
date-released: 2024-07-15
url: "https://github.com/PyMoDAQ/PyMoDAQ"
preferred-citation:
  type: article
  authors:
  - family-names: "Weber"
    given-names: "Sébastien J."
    orcid: "https://orcid.org/0000-0001-8531-5551"
  doi: "10.1063/5.0032116"
  journal: "Review of Scientific Instruments"
  month: 4
  start: 045104 # First page number
  end: 11 # Last page number
  title: "PyMoDAQ: An open-source Python-based software for modular data acquisition"
  issue: 4
  volume: 92
  year: 2021

GitHub Events

Total
  • Create event: 54
  • Issues event: 11
  • Release event: 17
  • Watch event: 1
  • Delete event: 19
  • Issue comment event: 45
  • Push event: 109
  • Pull request review event: 15
  • Pull request review comment event: 22
  • Pull request event: 72
  • Fork event: 6
Last Year
  • Create event: 54
  • Issues event: 11
  • Release event: 17
  • Watch event: 1
  • Delete event: 19
  • Issue comment event: 45
  • Push event: 109
  • Pull request review event: 15
  • Pull request review comment event: 22
  • Pull request event: 72
  • Fork event: 6

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 3
  • Total pull requests: 19
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 5 days
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 2.67
  • Average comments per pull request: 0.79
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 19
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 5 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 2.67
  • Average comments per pull request: 0.79
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • BenediktBurger (3)
  • Sigarrigou (3)
  • aurore-finco (1)
Pull Request Authors
  • seb5g (32)
  • malik-irain (5)
  • BenediktBurger (2)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 5,736 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 28
  • Total maintainers: 1
pypi.org: pymodaq_data

Modular Data Acquisition with Python

  • Homepage: http://pymodaq.cnrs.fr
  • Documentation: https://pymodaq_data.readthedocs.io/
  • License: The MIT License (MIT) Copyright (c) 2021 Sebastien Weber <sebastien.weber@cemes.fr> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 5.0.25
    published 8 months ago
  • Versions: 28
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 5,736 Last month
Rankings
Dependent packages count: 10.4%
Average: 34.6%
Dependent repos count: 58.8%
Maintainers (1)
Last synced: 7 months ago

Dependencies

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docs/requirements.txt pypi
  • docutils <=0.17.1
  • numpydoc *
  • pillow *
  • pyqt5 *
  • releases *
  • sphinx <7
  • sphinx-csv-filter *
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pyproject.toml pypi
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  • numpy < 2.0.0
  • packaging *
  • pint *
  • pymodaq_utils *
  • python-dateutil *
  • scipy *
  • tables <3.9
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