Electrolyzer Data Analyzer

A Python application for analyzing and visualizing electrolyzer test data from InfluxDB exports.

Features

Step 1: Raw Data Navigation

• Directory Navigation: Browse and select data folders
• File List Reader: View and select multiple CSV files
• Data Loading: Load selected files into pandas DataFrames

Future Steps (To be implemented)

• Data Processing
• Data Visualization
• Export/Report Generation

Installation

Option 1: Quick Start (Recommended)

Use the provided startup script:

./run_app.sh

Option 2: Manual Setup

1. Install Python 3.12 (if not already installed):

brew install python@3.12 python-tk@3.12

2. Create virtual environment:

python3.12 -m venv venv312
source venv312/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Run the application:

python electrolyzer_data_analyzer.py

System Requirements

• Python: 3.12.11 (latest)
• macOS: Optimized for macOS with touchpad responsiveness fixes
• Packages: pandas 2.3.2, numpy 2.3.3, matplotlib 3.10.6, seaborn 0.13.2

Usage

1. Select Data Directory: Use the "Browse" button to select your data folder (defaults to "InfluxDB raw data")
2. Read Files: Click "Read Files" to scan for CSV files in the directory
3. Select Files: Choose one or multiple files from the list
4. Load Data: The selected files will be loaded into DataFrames for further processing

Data Format

The application expects CSV files exported from InfluxDB with the following structure:

• First 3 rows contain metadata (group, datatype, default)
• Data starts from row 4
• Columns include various electrolyzer parameters (voltage, current, temperature, etc.)

Project Structure

Data Process/
├── InfluxDB raw data/          # Raw data files
├── electrolyzer_data_analyzer.py  # Main application
├── requirements.txt            # Dependencies
└── README.md                  # This file