UniGraph Student Plotter

A low-barrier plotting app for physics, accounting, and finance students.

Path 1: Local Desktop App

pip install -r requirements.txt
python app.py

This is the preferred path for local classroom use and future .exe packaging. All current learning and plotting features are free and do not require login. The login button opens https://unigraph.online for future online account features.

Package Desktop App as EXE

.\build_exe.ps1

The generated app will be in dist\UniGraph.exe. This single .exe can run on Windows computers without a Python environment.

Notes for distribution:

• Send users dist\UniGraph.exe.
• On first launch, the app shows a startup dialog with language selection, login, support/tip, loading text, and Copyright bowen.
• The selected language is remembered on the user's computer for later launches.
• The first launch can be slower because the packaged app unpacks its runtime internally.
• On startup, the app quietly checks the latest GitHub Release. If there is no network, it skips the check; if a newer .exe exists, the user can update or skip.

Path 2: Web App

pip install -r requirements.txt
streamlit run web_app.py

Then open the local URL printed by Streamlit, usually http://localhost:8501.

Official Website

The static product website is in web\. It supports English, Chinese, and French with a browser-side language switcher. It also includes a separate support/tip page with OKX crypto, Touch 'n Go, and Alipay QR codes.

Open it locally with:

Start-Process .\web\index.html

The website download button points to the latest GitHub Release asset: https://github.com/bowenCA0/UniGraph/releases/latest/download/UniGraph.exe. This keeps large downloads on GitHub instead of the website server. Replace the Xiaohongshu placeholder link in web\index.html with your personal profile URL when ready.

Features

• Chinese, English, and French interface.
• Startup dialog with language selection, loading state, login entry, support/tip button, and Copyright bowen.
• Import .csv, .xlsx, or .xls files.
• Select X/Y ranges by row and column for physics-style plotting.
• Choose vertical or horizontal data ranges.
• Scatter, line, bar, histogram, pie, waterfall, finance risk, portfolio, and correlation views.
• Optional axis display, units, error bars, linear fit, polynomial fit, and slope calculation over a chosen point range.
• Image parameter dialog for title, X/Y axis names, units, data color, fit color, grid color, and scientific notation.
• Chart titles plus a compact right-side figure explorer; clicking a plot opens it, New Figure creates the next slot, right-click can delete a plot, and Dual Y-axis opens a checkbox confirmation dialog.
• Resizable and collapsible left/right sidebars.
• One-click experiment analysis with selectable X range and optional chart annotations for regression line, equation, slope, intercept, r, and R².
• Generates a reusable Python script based on the selected settings.

Development Roadmap

1. Local desktop app: build and test student workflows, then package as .exe.
2. Shared analysis core: move file reading, range selection, fitting, slope, and finance/accounting calculations into reusable modules.
3. Web app: reuse the same core with a browser interface for online deployment.
4. Course templates: add sample physics experiments, accounting reports, and finance portfolio cases.