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README.md

pyngb Examples

This directory contains practical examples demonstrating how to use pyngb for various thermal analysis tasks.

Example Files

Basic Usage

Advanced Features

Integration Examples

  • (Bring your own) Jupyter notebook to try code snippets from docs

Specialized Use Cases

  • See docs User Guide sections for analysis patterns

Running Examples

Prerequisites

# Install pyngb
pip install pyngb

# Optional tools for plotting/notebooks
pip install matplotlib pandas jupyter seaborn

Using Example Data

Some examples use sample NGB files. You can:

  1. Use your own NGB files: Replace file paths in examples
  2. Download sample files: Check the test_files directory
  3. Generate mock data: Some examples create synthetic data

Running Individual Examples

# Basic parsing example
python examples/basic_parsing.py

# Batch processing example
python examples/batch_processing.py --input-dir ./data/ --output-dir ./results/

# Interactive notebook
jupyter notebook examples/jupyter_notebook.ipynb

Example Categories

🚀 Getting Started

Perfect for new users learning pyngb basics.

📊 Data Analysis

Examples showing how to analyze thermal data effectively.

🔧 Advanced Usage

Complex scenarios and customization examples.

🏭 Production Use

Examples suitable for production environments and automation.

Contributing Examples

Have a useful example? We'd love to include it!

  1. Create a new Python file with a descriptive name
  2. Include comprehensive comments and docstrings
  3. Add error handling and user-friendly output
  4. Update this README with your example
  5. Submit a pull request

Example Template

"""
Example: [Brief Description]

Description:
    [Detailed description of what this example demonstrates]

Requirements:
    - pyngb
    - [other dependencies]

Usage:
    python example_name.py [arguments]

Author: [Your Name]
"""

import pyngb
# ... rest of example

Tips for Using Examples

  1. Read the Comments: Each example includes detailed explanations
  2. Modify Paths: Update file paths to match your data location
  3. Check Requirements: Some examples need additional packages
  4. Handle Errors: Examples include error handling patterns you can reuse
  5. Experiment: Try modifying examples to fit your specific needs

Getting Help