Trend Plotter

A lightweight and configurable Python tool for visualizing experimental trends
with min/max error bars and optional reference (base) lines.

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Overview

Trend Plotter is designed to quickly visualize relationships between two variables (e.g., Thickness vs Resistivity) with:

• Min/Max error bars
• Group comparison (A/B, recipe, lot, etc.)
• Configurable axis formatting
• Optional baseline/reference lines
• CSV / Excel input support
• Fully configurable via setting.csv

This tool is suitable for:

• Thin-film property analysis
• Process condition sweeps
• DOE pre-analysis visualization
• Equipment characterization
• Research data plotting

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Included Files

• trend_plotter.py
  Main plotting script.
  Reads experimental data and generates the configured trend plot.
• setting.csv
  External configuration file controlling plot behavior
  (axis format, scientific notation mode, baseline lines, export options, etc.).
• data.csv
  Demo dataset (synthetic values) used for demonstration purposes.
  Can be replaced with user experimental data.

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Output

Trend Plotter generates:

• An interactive matplotlib plot window
• Optional PNG image file (if output_png is specified in setting.csv)

The generated plot supports:

• Min/Max error bars
• Group-based color separation
• Optional baseline/reference line(s)
• Linear or logarithmic Y-axis
• Configurable scientific notation formatting
• Customizable figure size and styling

The output is intended for:

• Experimental trend visualization
• Research figure preparation
• Process comparison analysis
• Engineering documentation

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Limitations

• Supports single X vs Y trend visualization only
• Script-based execution (no GUI)

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Requirements

• pandas
• numpy
• matplotlib