simplation 1.0.1

A powerful command-line tool for analyzing and visualizing simulation data from CSV files

Simplation

A powerful command-line tool for analyzing and visualizing simulation data from CSV files.

Features

• 📊 Statistical Analysis: Mean, RMS, standard deviation, min, max, peak-to-peak
• 📈 Signal Quality Metrics: Crest factor, form factor, ripple factor, THD
• ⚡ Power System Analysis: Efficiency, power factor calculations
• 🎨 Rich Visualization: Beautiful tables and colored output
• 🔍 Fuzzy Matching: Intelligent signal name matching
• 📋 Complex Expressions: Mathematical operations combining multiple signals
• 🎯 Auto Unit Detection: Automatic unit recognition from signal names

Installation

pip install simplation

https://pypi.org/project/simplation/1.0.1/

Quick Start
bash
# Launch the interactive tool
simplation

# Or run directly on a CSV file
simplation --file data.csv

Available Commands
Type help in the interactive tool to see all available commands, or examples for detailed usage examples.

📚 SIMPLATION USAGE EXAMPLES ──────────────────────────────────────────────────────────────────────

1. BASIC STATISTICS: mean of Output Voltage - Average output voltage rms of Input Current - RMS value of input current max of Transformer Temperature - Maximum temperature reached min of Output Power - Minimum power output ptp of Ripple Voltage - Peak-to-peak ripple voltage std of Noise Signal - Standard deviation of noise

2. SIGNAL QUALITY ANALYSIS: crest factor of Motor Current - Ratio of peak to RMS current form factor of AC Voltage - Waveform shape quality factor ripple factor of DC Output - AC component relative to DC thd of Mains Voltage - Total Harmonic Distortion

3. POWER SYSTEM ANALYSIS: efficiency of Output Power vs Input Power - System efficiency power factor of Mains Voltage vs Line Current - Power factor

4. VISUALIZATION: plot Output Voltage - Plot voltage vs time plot Output Current vs Time - Plot current vs time
   plot Efficiency vs Load - Plot efficiency vs load parameter plot Temperature vs Output Power - Correlation analysis

5. COMPLEX EXPRESSIONS: (mean of Vout * max of Iout) / 1000 - Power calculation (rms of Voltage * rms of Current) - Apparent power std of Noise / mean of Signal - Signal-to-noise ratio (max of Temperature - min of Temperature) / 2 - Temperature swing (ptp of Ripple / mean of DC) * 100 - Ripple percentage efficiency of Output Power vs Input Power * 100 - Efficiency in %

6. MULTI-SIGNAL ANALYSIS: stats - Show all signals statistics stats Output Voltage - Detailed stats for specific signal list - Browse all available signals

7. REAL-WORLD SCENARIOS: Power Supply Analysis: mean of Output Voltage ptp of Output Ripple efficiency of Output Power vs Input Power crest factor of Input Current

   Motor Drive Analysis: max of Motor Current rms of Phase Voltage power factor of Input Voltage vs Input Current plot Motor Speed vs Torque

   Thermal Analysis: max of Junction Temperature mean of Heat Sink Temperature
   stats Temperature Signals plot Temperature vs Time

   Power Quality: thd of Input Voltage thd of Input Current power factor of Grid Voltage vs Grid Current

────────────────────────────────────────────────────────────────────── 💡 TIPS: • Use fuzzy matching: 'mean of vout' will match 'Output Voltage' • Complex expressions support: +, -, *, /, (), ** • Units are auto-detected: [V], [A], [W], [°C], etc. • Rich tables for better data visualization • Colors for easy result interpretation