| Name | pymodaq_data JSON |
| Version |
5.0.5
JSON |
| download |
| home_page | None |
| Summary | Modular Data Acquisition with Python |
| upload_time | 2024-10-20 20:09:15 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| 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. |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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/0.0.x/graph/badge.svg?token=IQNJRCQDM2
:target: https://codecov.io/gh/PyMoDAQ/pymodaq_data
====== ======= ======
Python OS Passed
====== ======= ======
3.8 Linux |38|
3.9 Linux |39|
3.10 Linux |310|
3.11 Linux |311|
3.12 Linux |312|
3.11 Windows |311win|
====== ======= ======
.. |38| image:: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp38.yml/badge.svg?branch=0.0.x_dev
:target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp385.yml
.. |39| image:: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp39.yml/badge.svg?branch=0.0.x_dev
:target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp39.yml
.. |310| image:: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp310.yml/badge.svg?branch=0.0.x_dev
:target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp310.yml
.. |311| image:: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp311.yml/badge.svg?branch=0.0.x_dev
:target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp311.yml
.. |312| image:: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp312.yml/badge.svg?branch=0.0.x_dev
:target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp312.yml
.. |311win| image:: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp311_win.yml/badge.svg?branch=0.0.x_dev
:target: https://github.com/PyMoDAQ/pymodaq_data/actions/workflows/Testp311_win.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/developer_folder/data_management.html
Published under the MIT FREE SOFTWARE LICENSE
GitHub repo: https://github.com/PyMoDAQ
Documentation: http://pymodaq.cnrs.fr/
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