pingi 0.1.0

Wrapper around matplotlib, seaborn and ipython for creating highly configurable data science visualizations with minimal code.

pingi: an easily highly configurable data science plotter

Pingi is python wrapper around Matplotlib, Seaborn and IPython for creating highly configurable data science visualizations with minimal code.

Installation

Using pip

• Install the latest stable release (and required dependencies) from PyPI using pip command:

  pip install pingi
  

Using uv

• Or, using uv command:

  uv add pingi
  

Getting started

Use LaTeX text rendering

• Integrate LaTeX in the plots by firstly installing the additional required dependencies using the command:

  pingi-install-latex
  

  and enabling the rendering in the Python code, using parameter usetex=True in function configure_rc():

  from pingi.configure import configure_rc
  
  configure_rc(usetex=True)
  

Documentation

• Examples Gallery

Development

Installation of development dependencies

• Create the development environment using all dependency groups:

  uv sync --all-groups
  

• Build the package:

  uv build
  

Linting

• Use ruff for Python linting:

  uv run ruff check --fix --diff
  

  The command above will check for bugs, suspicious code, style violations, dead code, complexity issues and import problems. It will further proposed fixes.

• Apply the fixes:

  uv run ruff check --fix
  

Formatting

• Use ruff for Python formatting:

  uv run ruff format --diff
  

  The command above will check the code structure, namely, the indentation, spaces, line breaks, quote style and long line wrapping. It will further show the proposed changes.

• Apply the changes:

  uv run ruff format