PlotPoint

Simple x–y coordinate plotter for quick classroom or lab graphs. I was too lazy to use excel and decided to make this to graph out coordinates! Paste your X and Y values, pick tick mode (“Nice” rounded ticks or Exact ticks), label your axes, and hit Plot to instantly generate a graph.

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✨ Features

• Table → Graph in one window
  • Text fields for X and Y lists (comma or space separated)
  • Sample data loader
• Two tick modes
  • Nice ticks: rounded min/max and steps for clean, presentation-ready axes
  • Exact ticks: uses your raw values with no rounding
• Live labels
  • Typing in axis label fields automatically updates headers (e.g., typing Time (s) updates the X field label)
  • Custom plot title field
• Resizable & responsive
  • The graph expands or contracts smoothly as the window is resized
  • Extra spacing keeps the Y-axis label readable and away from tick marks
• Flat-data padding
  • When all Y values are the same, the graph auto-adds padding so the line doesn’t sit directly on the X-axis
• Color customization
  • Options menu to change line, point, grid, axis, tick, and background colors

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🧠 How It Works

The program reads comma- or space-separated values from text areas, parses them into numeric arrays, and displays them in a resizable Swing-based plot window.

You can pick between nice (rounded) ticks and exact (raw) ticks.
Axis and grid rendering are handled using Graphics2D for smooth antialiased drawing, and all labels auto-format using DecimalFormat.

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⚙️ Quick Start

1️⃣ Compile

javac TableToGraph.java

2️⃣ Run

java TableToGraph

3️⃣ Input format

• X values: 1, 2, 3, 4, 5
• Y values: 0.25, 0.50, 0.75, 1.00
• Both lists must have the same number of values (≥ 2).

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🧩 Build a Runnable JAR

# Compile
javac TableToGraph.java

# Package into JAR
jar cfe PlotPoint.jar TableToGraph *.class plotpoint.png plotpoint.ico

# Run it
java -jar PlotPoint.jar

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📂 Repository Layout

.
├─ TableToGraph.java       # Main GUI + plotting logic
└─ .gitignore

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🚧 Future Enhancements

• CSV import support (drag & drop)
• Save/export plot as image (PNG)
• Multiple data series & legends
• Polynomial or linear regression overlay (y = mx + b)

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🪪 License

MIT License (or your preferred license).
Feel free to reuse, modify, and distribute.

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🧑‍💻 Author

Created by Moe Suleiman (@ms00l)
A learning-focused visualization tool for physics, kinematics, and data analysis.