semvec/pypi-packages huggingface dataset:
utils-pna 0.0.23
Utilidades para PNA-ASA
Requires Python: >=3.6

# Introduction 
TODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project. 

# Getting Started
TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:
1.	Installation process
2.	Software dependencies
3.	Latest releases
4.	API references

# Build and Test
TODO: Describe and show how to build your code and run the tests. 

# Contribute
TODO: Explain how other users and developers can contribute to make your code better. 

If you want to learn more about creating good readme files then refer the following [guidelines](https://docs.microsoft.com/en-us/azure/devops/repos/git/create-a-readme?view=azure-devops). You can also seek inspiration from the below readme files:
- [ASP.NET Core](https://github.com/aspnet/Home)
- [Visual Studio Code](https://github.com/Microsoft/vscode)
- [Chakra Core](https://github.com/Microsoft/ChakraCore)
soraxas-toolbox 0.1.6
A simple packaged toolbox for various scenario

[![pypi](https://img.shields.io/pypi/v/soraxas-toolbox)](https://pypi.org/project/soraxas-toolbox/)
[![python-version](https://img.shields.io/pypi/pyversions/soraxas-toolbox)](https://pypi.org/project/soraxas-toolbox)
[![Master Update](https://img.shields.io/github/last-commit/soraxas/python-soraxas_toolbox/master.svg)](https://github.com/soraxas/python-soraxas_toolbox/commits/master)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![License](https://img.shields.io/github/license/soraxas/python-soraxas_toolbox.svg)](https://github.com/soraxas/python-soraxas_toolbox/blob/master/LICENSE)

# Python toolbox

A simple toolbox for various scenario. Documentation will unlikely be provided here.

Use without any warranty :)

Cheers
zolfa-nd2reader 3.4.1
A tool for reading ND2 files produced by NIS Elements

# zolfa-nd2reader


### About

`zolfa-nd2reader` is a pure-Python package that reads images produced by NIS Elements 4.0+. It has only been definitively tested on NIS Elements 4.30.02 Build 1053. Support for older versions is being actively worked on.
The reader is written in the [pims](https://github.com/soft-matter/pims) framework, enabling easy access to multidimensional files, lazy slicing, and nice display in IPython.

This version is a fork of the project of published [here](https://github.com/Open-Science-Tools/nd2reader).

### Documentation

Documentation specific to this fork is not available yet.

The documentation of the origianl `nd2reader` project was available [here](http://www.lighthacking.nl/nd2reader/).

### Installation

The package is available on PyPi. Install it using:

```
pip install zolfa-nd2reader
```

If you don't already have the packages `numpy`, `pims` and `xmltodict`, they will be installed automatically running pip.
Python >= 3.10 are supported.


### ND2s

`nd2reader` follows the [pims](https://github.com/soft-matter/pims) framework. To open a file and show the first frame:

```python
from zolfa.nd2reader import ND2Reader
import matplotlib.pyplot as plt

with ND2Reader('my_directory/example.nd2') as images:
  plt.imshow(images[0])
```

After opening the file, all `pims` features are supported. Please refer to the [pims documentation](http://soft-matter.github.io/pims/).

### Contributing

If you'd like to help with the development of nd2reader or just have an idea for improvement, please see the [contributing](https://gitlab.pasteur.fr/zolfa/zolfa-nd2reader/-/blob/master/CONTRIBUTING.md) page
for more information.

### Bug Reports and Features

If this fails to work exactly as expected, please open an [issue](https://github.com/rbnvrw/nd2reader/issues).
If you get an unhandled exception, please paste the entire stack trace into the issue as well.

### Acknowledgments

First fork by Ruben Verweij.

PIMS modified version by Ruben Verweij.

Original version by Jim Rybarski. Support for the development of this package was partially provided by the [Finkelstein Laboratory](http://finkelsteinlab.org/).