Water Column Sensor Data Processor - Desktop Application

This is a desktop application for processing, interpolating, and visualizing water column sensor data from .txt and .csv files.

Features

• Import and process sensor data files
• Interpolate data across depths
• Generate 2D visualizations of 1D water column data
• Export plots and processed data

Installation

Option 1: Run the executable (simplest)

1. Download the latest release for your operating system from the releases page
2. Extract the zip/tar file
3. Run the executable file:
   • Windows: WaterColumnProcessor.exe
   • macOS: WaterColumnProcessor.app
   • Linux: WaterColumnProcessor

Option 2: Build from source

1. Clone this repository
2. Install the requirements:

   pip install -r requirements.txt
   

3. Run the build script:

   python build_app.py
   

4. The executable will be created in the dist folder

Usage

1. Data Import:

   • Select sensor data files (.txt or .csv)
   • Configure header detection and depth extraction

2. Data Processing:

   • Select variables to process (includes your DateTime index column)
   • Set time index and resampling options
   • • Can assess and check your sensor depths manually if depths are not read from filenames

3. Interpolation:

   • Set depth resolution and maximum depth
   • Choose variables to interpolate

4. Visualization:

   • Create contour plots of the interpolated data
   • Customize plot appearance
   • Export plots to various formats

System Requirements

• Windows 7 or later
• macOS 10.13 or later
• Linux (most modern distributions)
• 4GB RAM minimum (8GB recommended)
• 500MB free disk space

Citation

If you use this software in your research, please cite:

Kumar, R. (2025). WaterCol_App_PSIV: Application to Process, Summarize, Interpolate, and Visualize water column sensor data. GitHub. https://github.com/RajeevKPurdue/WaterCol_App_PSIV

Or in academic format: Kumar, R. (2025). WaterCol_App_PSIV: Application to Process, Summarize, Interpolate, and Visualize water column sensor data. Software. GitHub repository. https://github.com/RajeevKPurdue/WaterCol_App_PSIV

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

If you use this code in published work, please acknowledge its use and cite any relevant publications.