A package to find turing points in tracks, andd plot
Project description
Turning Point Analyzer
Overview
The Turning Point Analyzer is a Python package for analyzing turning points in trajectories and calculating transition probabilities.
Installation
You can install the Turning Point Analyzer package using pip:
pip install turning-points
Usage
To use the Turning Point Analyzer in your Python code, you can import it as follows:
from turning_points import TurningPointAnalyzer
Analyzing Turning Points
from turning_points import TurningPointAnalyzer
# Example trajectory data
trajectories = [
[(0, 0), (1, 1), (2, 2), (3, 1), (4, 0)], # Example trajectory 1
[(0, 0), (1, -1), (2, -2), (3, -1), (4, 0)] # Example trajectory 2
]
# Create a TurningPointAnalyzer instance
analyzer = TurningPointAnalyzer(trajectories)
# Plot transition directions
analyzer.plot_transition()
# Plot frequency distribution of time between turns
analyzer.plot_frequency()
# Get the probability of same turn direction
probability = analyzer.get_proba_same_turn()
print("Probability of same turn direction:", probability)
# Get the results
results = analyzer.get_results()
print("Results:", results)
Testing
To run tests for the Turning Point Analyzer, you can use the following command:
pytest
Contributing
Contributions are welcome! Please feel free to submit issues or pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Citing
If you use this package for your publication, don't hesitate to cite it. example provided in citations.md
thanks for the RDP algorythm
The package use the Ramer–Douglas–Peucker algorithm. It was obtained from: https://github.com/fhirschmann/rdp
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
Built Distribution
File details
Details for the file turning_points-0.0.5.tar.gz
.
File metadata
- Download URL: turning_points-0.0.5.tar.gz
- Upload date:
- Size: 8.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1bfc8d487d3d34c6f54d24657d9d2af3dbd89cf46bfdbf590bbb4e00d54f9121 |
|
MD5 | c9d6691c40de866505911d92b30674e2 |
|
BLAKE2b-256 | 077bd9918ce6a30a2ac720072f3f13b6b5bd643564064159e8a505fdbeb91706 |
File details
Details for the file turning_points-0.0.5-py3-none-any.whl
.
File metadata
- Download URL: turning_points-0.0.5-py3-none-any.whl
- Upload date:
- Size: 8.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2bd1aed115e9fda7c38f427faaf5ad727bdbf29d8b3a10598c199d09f8606ea5 |
|
MD5 | 245ed4dc6be1451880c831fd88592a0e |
|
BLAKE2b-256 | d44a3e9ceabb5b7dd48c6c2045ee318396dc3dcfd3b29fde3bd5b6ff095d0ae5 |