Update README and add some dev tools

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/

README.md

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 # garden.matplotlib
+
+`garden.matplotlib` is a Kivy garden package that provides a simple way to embed Matplotlib plots and charts in Kivy applications. This package makes it easy to integrate powerful data visualization tools into your Kivy apps, allowing you to create interactive, high-quality data visualizations with ease.
+
+## Installation
+
+This repository uses the legacy kivy garden flower format. To install `garden.matplotlib`, simply add it to your Kivy garden using the most up-to-date [legacy garden tool instructions](https://kivy.org/doc/stable/api-kivy.garden.html#legacy-garden-tool-instructions).
+
+```cmd
+pip install garden
+garden install matplotlib
+```
+
+## Usage
+
+Using `garden.matplotlib` is simple. To embed a Matplotlib plot in your Kivy app, simply create a `FigureCanvasKivyAgg` widget and add it to your app as you would any other Kivy widget:
+
+```python
+import kivy
+kivy.require('1.11.1')
+
+from kivy.app import App
+from kivy.uix.boxlayout import BoxLayout
+from kivy.garden.matplotlib.backend_kivyagg import FigureCanvasKivyAgg
+import matplotlib.pyplot as plt
+
+class MyPlotApp(App):
+    def build(self):
+        # Create a box layout for the app
+        layout = BoxLayout(orientation='vertical')
+
+        # Create a Matplotlib figure and canvas
+        fig, ax = plt.subplots()
+        canvas = FigureCanvasKivyAgg(fig)
+
+        # Add the canvas to the app layout
+        layout.add_widget(canvas)
+
+        # Plot the data
+        ax.plot([1, 2, 3, 4])
+
+        # Redraw the canvas
+        canvas.draw_idle()
+
+        return layout
+
+MyPlotApp().run()
+```
+
+## Contributing
+
+If you find a bug or have an idea for a new feature, we welcome contributions from the community. To contribute to `garden.matplotlib`, simply fork the repository, make your changes, and submit a pull request. We'll review your changes and merge them into the repository if they meet our standards and requirements.
+
+## License
+
+`garden.matplotlib` is released under the MIT license. See the `LICENSE` file for more information.

requirements.txt

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+Kivy==2.1.0
+matplotlib==3.7.0
+numpy==1.24.2
+six==1.16.0