CSV Log Web Visualizer

Simple web interface to visualize temperature and humidity data from a CSV file. Users can upload a CSV log file and get a rendered graph using matplotlib directly in their browser.

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Hardware

• Raspberry Pi (any model that can run a Python HTTP server)
• Generated CSV data from a DHT11 logger project for example

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Project Structure

csvlog-web-visualizer/ .gitignore README.md requirements.txt data/ sensor_sample_data.csv docs/ output_web_page.png src/ web_visualizer.py

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Setup

1. Clone the repository:

   git clone https://github.com/olegku-dev/csvlog-web-visualizer.git
   cd csvlog-web-visualizer
   

2. Install Python dependencies (If not installed):

   pip3 install -r requirements.txt
   

3. Install system-wide matplotlib (If not installed):

   sudo apt install python3-matplotlib
   

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Run the Visualizer

From the root project folder:

cd src
chmod +x web_visualizer.py
python3 -m http.server 8080 --cgi

Open browser and visit:

http://localhost:8080/cgi-bin/web_visualizer.py

*Ensure web_visualizer.py is in a cgi-bin/ folder to allow execution.

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CSV Format

Expected CSV format:

YYYY-MM-DD HH:MM:SS, temperature, humidity

Example:

2024-10-29 18:07:12, 34.7, 45.0

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Example Output