Plot (di)graphs using a timestep simulation of charged particles and springs
Project description
graphPlot
A python module for plotting (directed) Graphs using a simulation of springs and charged particles
See the docs for more info including mathematical explanation, examples, and class definitions.
You can import this module with PIP.
$ python3 -m pip install graphPlot --upgrade
TODO:
- Upgrade to "second order backwards" approximation in
SpringBoard
- add smart detect of max size for animation
- Change
_increment()
to use matrix operations - add fixed node capabilities
- Gravitational force is just to take care of disconnected graphs - is it necessary?
- Make normalization "less invasive"
- Cythonize
- Integrate planarity tests
- Add add self loop arrows
- Add curved arrows
- Add copy constructors
- Add
__eq__
s for other classes - Add
__repr__
s for other classes - Check if the check in move() is most effective
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
graphPlot-0.0.10.tar.gz
(5.8 kB
view hashes)
Built Distribution
Close
Hashes for graphPlot-0.0.10-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1cc43fa9863bd7fddb39bd63b8f10e693561c0f69f24a176e4cced7a57d88dc4 |
|
MD5 | 9483626f20ccb5604394a480f8362b0c |
|
BLAKE2b-256 | 9a12d75df6e5f4fa05941b62f9adf1b11e479001f07bdc7e791dce3cb84c20f6 |