semvec/pypi-packages huggingface dataset:
mpl4qt 2.8.9
Data visualization widgets for PyQt5
License: MIT
Keywords: widgets Qt designer PyQt matplotlib

# mpl4qt

A collection of Qt widgets developed with [Matplotlib](https://matplotlib.org/) for data visualization in [PyQt5](https://www.riverbankcomputing.com/software/pyqt/) applications.

All these widgets show as a new tab so-called **DataViz Widgets** in the **Widget Box** of Qt designer.
CLI tool: `run_designer` could be used to launch Qt designer with `mpl4qt`.
pylabnotebook 0.3.1
This package provides functions to write an automated labnotebook using git.
License: MIT
Requires Python: >=3.7
Keywords: git, notebook, track, history, log

<h1 align="center">Labnotebook 📔🖥</h1>

This project aims to help bioinformaticians in creating the so called "Laboratory notebook" automatically, thanks to git workflow manager.
Read the [documentation](https://pylabnotebook.readthedocs.io/en/latest/).

**IMPORTANT**: this tool is based on git and its application, in particular, through git history it will create an html notebook divided by date and commit.

<h3 style="margin-bottom:3px;">Features</h3>
<ul>
  <li>Automatically create a laboratory notebook</li>
  <li>Customizable CSS file</li>
  <li>Direct link to analysis files (expecially for user who creates .html reports. e.g. markdown or jupyter notebook html)</li>
  <li>Export to html</li>
</ul>

<h3>Installation</h3>
To install the package, run:

```
pip install pylabnotebook
```

This will install the pylabnotebook package; you can then run <code>labnotebook</code> function from within the terminal (detailed explanation below).

For a complete guide, check the official [user guide](https://pylabnotebook.readthedocs.io/en/latest/user_guide.html).

<h3>Issue reporting and suggestions</h3>
If you find any issue or you want to suggest some edit, please feel free to open an issue or a pull request.