semvec/pypi-packages huggingface dataset:
pIMZ 1.0a0
pIMZ: an integrative framework for imaging mass spectrometry analysis
License: MIT
Requires Python: >=3.8
Keywords: IMS MSI imaging mass-spectrometry interactive integrative

# pIMZ: an integrative framework for imaging mass spectrometry analysis

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## Description

pIMZ is a framework for Imaging Mass Spectrometry (IMS) data analysis.
The python implementation is available from  [github.com/mjoppich/pIMZ](http://github.com/mjoppich/pIMZ).
For installation follow the instructions given here.

pIMZ focuses on a differential setting, where masses, specific to certain areas are first determined, and then serve as input for a cell-type detection framework and/or a differential expression setting.

pIMZ's documentation is available here: [![Documentation Status](https://readthedocs.org/projects/pimz/badge/?version=latest)](https://pimz.readthedocs.io/en/latest/?badge=latest) .


## Installation

The easiest way to install most Python packages is via ``pip``.

If not already done, you must first install the following dependencies manually. This is because at the time of writing this document, dabest requires ``pandas~=0.25``, which is incompatible with probably the rest of the world nowadays. So first dabest is installed, then numpy and pandas are upgraded again ::

    sudo pip3 install dabest
    sudo pip3 install numpy pandas --upgrade

Only then we should install ``pIMZ`` ::
    sudo pip3 install pIMZ

``pIMZ`` is now ready to go!

## Usage

References to examples and example notebooks can be found in the ``examples`` folder, or in the [documentation](https://pimz.readthedocs.io/en/latest/usage.html).

All available classes and their functions are explained in the [modules/API documentation](https://pimz.readthedocs.io/en/latest/modules.html).
cooked-input 0.5.4
Get, clean, convert and validate input.
License: MIT
Requires Python: >=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*
Keywords: command line tool development input raw_input

.. image:: https://img.shields.io/pypi/v/cooked_input.svg
    :target: https://pypi.org/project/cooked_input/

.. image:: https://img.shields.io/pypi/l/cooked_input.svg
    :target: https://pypi.org/project/cooked_input/

.. image:: https://readthedocs.org/projects/cooked_input/badge/?version=latest
    :target: https://pypi.org/project/cooked_input/

.. image:: https://img.shields.io/pypi/pyversions/cooked_input.svg
    :target: https://pypi.org/project/cooked_input/



Cooked Input Project
====================

``cooked_input`` is a Python package for getting, cleaning, converting, and validating input.
If you think of input (raw_input in legacy Python) as raw input, then this is cooked input.

``cooked_input`` provides a simple and safe way to get validated command line input that ranges from the simplest
of Python programs to sophisticated database driven applications. Beginner's can use the provided convenience classes
to get simple inputs from the user. Following the `quick start guide <http://cooked-input.readthedocs.io/en/latest/quick_start.html>`_
you can be up and running in minutes.

More advanced users can easily create custom classes for sophisticated cleaning and validation. ``Cooked_input`` can
also be used to create menus and data tables. The latter tutorials (`part one <http://cooked-input.readthedocs.io/en/latest/tutorial.html>`_ and `part two <http://cooked-input.readthedocs.io/en/latest/tutorial2.html>`_) and examples show several examples ranging from
simple to sophisticated calls.

``Cooked_input`` also provides a pathway to use the same cleaning and validation logic used in the command line
for validating web or GUI based inputs.

Documentation
-------------

The documentation is available at: http://cooked-input.readthedocs.io/en/latest/


Python 2/3 Support
------------------

cooked_input has been tested on Python: 2.7. 3.5+


Installation
------------

  pip install cooked_input


Project Page
------------

Project information and source code is available at: https://github.com/lwanger/cooked_input


Tutorial
--------

The best way to get started is to read the quick start at: http://cooked-input.readthedocs.io/en/latest/quick_start.html

After that, more advanced usage can be learned from the tutorial at: http://cooked-input.readthedocs.io/en/latest/tutorial.html