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