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add changelog and spatialmath badge
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petercorke committed Jan 8, 2025
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5 changes: 5 additions & 0 deletions CHANGELOG.md
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0.6.3

- runs with Numpy2.x
- changed build system to .toml file
- misc doco and changes
10 changes: 6 additions & 4 deletions README.md
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# PGraph: graphs for Python

[![A Python Robotics Package](https://raw.githubusercontent.com/petercorke/robotics-toolbox-python/master/.github/svg/py_collection.min.svg)](https://github.com/petercorke/robotics-toolbox-python)
[![Powered by Spatial Maths](https://raw.githubusercontent.com/petercorke/spatialmath-python/master/.github/svg/sm_powered.min.svg)](https://github.com/petercorke/spatialmath-python)
[![QUT Centre for Robotics Open Source](https://github.com/qcr/qcr.github.io/raw/master/misc/badge.svg)](https://qcr.github.io)

[![PyPI version fury.io](https://badge.fury.io/py/pgraph-python.svg)](https://pypi.python.org/pypi/pgraph-python/)
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[![Coverage](https://codecov.io/gh/petercorke/pgraph-python/branch/master/graph/badge.svg)](https://codecov.io/gh/petercorke/pgraph-python)
![pypi downloads](https://img.shields.io/pypi/dw/pgraph-python)

- GitHub repository: [https://github.com/petercorke/pgraph-python](https://github.com/petercorke/pgraph-python)
- Wiki (examples and details) [https://github.com/petercorke/pgraph-python/wiki](https://github.com/petercorke/pgraph-python/wiki)
- Documentation: [https://petercorke.github.io/pgraph-python](https://petercorke.github.io/pgraph-python)
- Dependencies: `numpy`
- [GitHub repository](https://github.com/petercorke/pgraph-python)
- [Wiki (examples and details)](https://github.com/petercorke/pgraph-python/wiki)
- [Documentation](https://petercorke.github.io/pgraph-python)
- [Changelog](https://github.com/petercorke/pgraph-python/blob/master/CHANGELOG.md)
- Dependencies: [`numpy`](https://numpy.org) [`spatialmath`](https://github.com/bdaiinstitute/spatialmath-python)


This Python package allows the manipulation of directed and non-directed graphs. Also supports embedded graphs. It is suitable for graphs with thousands of nodes.
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