semvec/pypi-packages huggingface dataset:
pfreader 0.0.6
Reader for Baxter® PrismaFlex® LOX files
License: MIT license
Keywords: PrismaFlex Baxter Prisma Flex Gambro LOX files CRRT CVVHDF TPE

========
pfreader
========

.. image:: https://api.travis-ci.org/mpasternak/pfreader.svg?branch=master
	   :target: https://travis-ci.org/mpasternak/pfreader

Reader for Baxter® PrismaFlex® LOX files written in Python.

OpenSource software. No warranty. MIT license. Educational purposes only. Do not use for real-world scenarios.

Neither affiliated with nor endorsed by Baxter®. PrismaFlex is a registered trademark of Baxter®


dev
---

*

0.0.6
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* openpyxl support for faster XLSX creation

0.0.5
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* summarisation

0.0.4
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* fix pressure data

0.0.3
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* add PLY and PLP 

0.0.2
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* make elements optional (support version 7 of software)

0.0.1
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* first public release
randomly 0.1.5
A Library for Denoising Single-Cell Data with Random Matrix Theory
License: MIT license
Keywords: randomly

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Randomly
========


.. image:: https://img.shields.io/pypi/v/randomly.svg
        :target: https://pypi.python.org/pypi/randomly

.. image:: https://img.shields.io/travis/luisaparicio/randomly.svg
        :target: https://travis-ci.org/luisaparicio/randomly

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


.. image:: https://pyup.io/repos/github/luisaparicio/randomly/shield.svg
     :target: https://pyup.io/repos/github/luisaparicio/randomly/
     :alt: Updates



A Library for Denoising Single-Cell Data with Random Matrix Theory


* Free software: MIT license
* Documentation: https://randomly.readthedocs.io.


Features
--------

Randomly is not yet published on PYPI. For now install directly from github:

.. code-block:: shell

    pip install --upgrade git+https://github.com/RabadanLab/randomly.git

Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2018-10-29)
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* First release on PyPI.