NPYViewer 1.28

A simple GUI tool that provides multiple ways to load and view the contents of .npy files containing 2D and 1D NumPy arrays.

Plot 3-column 2D numpy arrays containing 3D coordinates as 3D point clouds

Plot 2D numpy arrays as grayscale images

Visualize heightmaps stored as 2D numpy arrays

Visualize time series data stored as 1D numpy arrays

Visualize adjacency matrices (saved in .npy arrays) as directional edge weighted graphs

Print numpy arrays in terminal

Installation:

• Original development in Ubuntu 20.04 and Python 3.8.8
• Also tested on Windows 10 and Ubuntu 22.04
• pip3 install -r requirements.txt

Execution:

• python3 NPYViewer.py

Current Features:

• Open and view .npy files that contain 2D NumPy arrays and lists, as spreadsheets
• Convert .npy files to .csv format
• Convert .csv files to .npy format
• Export .npy files as .mat files (compatible with MATLAB and Octave)
• Plot 2D numpy arrays as grayscale images
• Plot 2D numpy arrays containing 3D coordinates as 3D point clouds
• Visualize heightmaps stored as 2D numpy arrays
• Visualize time series data stored as 1D numpy arrays
• Supports loading .npy files as command line arguments (e.g., python3 NPYViewer.py sample_npy_files/timeseries.npy)
• Visualize adjacency matrices (saved in .npy arrays) as directional edge weighted graphs
• Print numpy arrays in terminal through the use of the -noGUI argument (e.g., python NPYViewer.py sample_npy_files/timeseries.npy -noGUI)
• GUI developed using PyQT5

TODO:

• Add/Remove Rows & Columns
• Copy/Paste Rows & Columns
• Data search and filtering
• Modify content datatypes
• Handle data with more than 2 dimensions

Changes since last version:

• Added application icon
• Fixed Bug: "View as Time Series" option was hidden in the "Functionalities" menu

License

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