Calibration Analysis Tools

This folder contains tools for analyzing colorimeter calibration data.

analyze_calibration_simple.py

A Python script that performs linear regression on calibration data and outputs fit coefficients and absorbance range.

Usage

# Use the included sample data
python3 analyze_calibration_simple.py

# Or specify your own data file
python3 analyze_calibration_simple.py your_data.txt

Input Format

The input file should contain space-separated concentration and absorbance values, one pair per line:

0.0  0.00
1.25  0.72
2.5  1.23
3.75  1.68
5.0  1.97
...

The script will automatically average multiple readings at the same concentration.

Output Format

The script outputs JSON-formatted calibration coefficients and range:

"fit_coef": [
  3.500142,
  -1.194604
],
"range": {
  "min": 0.00,
  "max": 2.79
}

These values can be directly inserted into your calibrations.json file in the firmware.

How It Works

1. Reads calibration data from file
2. Averages multiple readings at the same concentration
3. Performs linear regression: concentration = slope * absorbance + intercept
4. Outputs the slope and intercept as fit coefficients
5. Calculates the min/max absorbance range

Sample Data

calibrations.txt contains sample calibration data for testing the script.