semvec/pypi-packages huggingface dataset:
plopy 1.7.0
GUI for matplotlib graphing

plopy
=====
A program for making data plotting with matplotlib easily customizable in a GUI.

Features
--------

- Intelligent data file parsing

   - Automatically skips over headers (or any line that cannot be converted to ``float`` or ``datetime``)
   - Supports many date formats in input automatically using ``dateutil.parser``
   - Works with comma-separated and/or whitespace-separated input files

- Graph configuration: line style, color, points, legend

- Dialogs to create multiple axes and assign lines to them

- Supports all output formats supported by ``matplotlib``
  (``.png``, ``.jpg``, ``.pdf`` ... )

Installation
------------
After installing `Python 3
<https://python.org/downloads/>`_, run the command ``pip install plopy``

You can also `try it online
<https://repl.it/@Finnventor/import-plopy-demo?lite=true>`_ on repl.it,
but that loads slowly and is not recommended for normal use.

Usage
-----
To open the GUI, run the command ``python -m plopy``, or also
preselect files by appending their paths to the command
(``python -m plopy data.csv log.txt`` ... ).

``plopy`` can also be controlled from a script.
Use ``plopy.add_file`` and ``plopy.add_array``,
then call ``plopy.start()``

If you're already accustomed to matplotlib, or want to convert pre-existing
programs, you can import ``plopy.fig`` and ``plopy.ax`` to plot on, and call
``plopy.start()`` when done. This method also works in combination with the
previous one.

See `the docs <https://plopy.readthedocs.io/en/latest/scripting.html>`_ for more examples.
mindlogger-data-export 0.1.10
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Requires Python: >=3.11

# Mindlogger Data Export Tool

## Development Instructions

1. Install [uv](https://docs.astral.sh/uv/)
2. Clone repository && `cd mindlogger-data-export`
3. `uvx pre-commit install` to install git pre-commit that runs formatting/style checks on commit.
4. `uv sync` to install dependencies

To run command line tool: `uv run mindlogger-data-export`

### Just command runner

The project uses Just to provide shortcuts for common development commands, e.g. just test just run just build-docker

Run just -l to view commands.