A simple lab 1-stop-shop utility for all plot fitting purposes.

In the cloned repository,

# Create and activate virtual environment
python -m venv .
source bin/activate  # On Windows: bin\Scripts\activate

# Install dependencies
pip install -r requirements.txt

It supports plotting the following predefined functions:

• Lorentzian
• Gaussian
• Exponential
• Exponential Decay
• Power law
• Linear
• Quadratic
• Cubic
• Sinusoidal
• Damped oscillation
• Logarithmic
• Stretched Exponential

As well as the ability to input custom functions.

You can input all information in the cli or simply use a csv file.

To start fitting,

source bin/activate  # On Windows: bin\Scripts\activate
python fitPlot.py

and follow the CLI to fit your needs.

You can fit multiple datasets, each with its unique fitting function with automatic estimation and statistical output.

1 test file was provided. It contains 3 datasets of 50 points, each. These datasets are fitted by the logarithmic, exponantial decay and quadratic options.

This test is simple but showcases the capability of this utility.