Ipychart

New features in this version:

- Add a to_image() export method to the `Chart` class, allowing to export the chart as a .png or .jpg image.
- Convert complete JS frontend codebase to Typescript and esnext.
- Bump Chart.js version to 4.4.x
- Use custom exceptions for clearer error messages in Python backend.
- Refactoring of data validation and styling methods in Python backend for a better code quality.
- Refactoring of plots functions and utils in Python backend for a better code quality.
- Add several Python backend tests, including a mock of communications between frontend and backend.
- Add frontend UI tests using galata and playwright, copying the [official ipywidgets repository UI tests folder](https://github.com/jupyter-widgets/ipywidgets/tree/main/ui-tests).
- Include testing notebooks and docker sandbox image to the main repo for ease of maintenance.
- Switch from setup.py to pyproject.toml for python packaging.
- DOC: Format all code snippets of the documentation using Ruff.

Bug fixes:

- Fix charts not rendering
- Fix aggregation in plots function not working on recent pandas versions.
- DOC: Fix SyntaxError in documentation python code example comparing chartjs and ipychart code.

New features in this version:

- Doc: Improve [Introduction](https://nicohlr.github.io/ipychart/user_guide/introduction.html) section of the documentation.
- Improve Python docstrings.

Bug fixes:

- Solve issue 5.
- Fix html-vue examples in official documentation not using the last npm package version, thus leading to incorrect charts displayed.

New features in this version:

- Chart.js backend was updated to 3.x.x. This is a major update, all changes can be seen here: https://www.chartjs.org/docs/latest/getting-started/v3-migration.html. This implies large performance improvements, easier customization, a rewritten animation system, bug fixes etc.
- Doc: Move from GitLab pages to GitHub pages. Replace algolia search by flexsearch. Re-writing of some sections to match the new syntax of Chart.js 3.x.x. Better handling of components, which are now isolated in separates HTML files called by Vue scripts.
- Convert all JS code to ES6 Javascript standard. Use ESLint and Prettier to clean the JS codebase.
- Integration and adaptation of the colorscheme plugin into the codebase because original implementation is not compatible with Chart.js 3.x.x.
- Start TDD on Python side.

Bug Fixes:

- Fix formatting of datalabels through a callback function (see related [issue](https://github.com/nicohlr/ipychart/issues/4))

New features in this version:

- Pandas Interface : Complete refactoring of the API. Charts are now created using functions.
- Added support of Jupyter Lab.
- Added dynamic update of charts when an agument of the chart is modified. This bring a lots of possibilities to dynamically modify a chart, for example by using ipywidgets (sliders, buttons ...).

New features in this version:

- Full cleaning of Python code
- Reduce fontsize in tooltips (back to default size) for charts made using the Pandas Interface