https://github.com/csmailis/NPYViewer

Load and view .npy files containing 2D and 1D NumPy arrays.
https://github.com/csmailis/NPYViewer

3d adjacency-matrix csv graph greyscale height-map heightmap heightmaps images matlab npy npy-files numpy numpy-arrays octave point-cloud pointcloud python time-series viewer

Last synced: 3 months ago
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Load and view .npy files containing 2D and 1D NumPy arrays.

• Host: GitHub
• URL: https://github.com/csmailis/NPYViewer
• Owner: csmailis
• License: mit
• Created: 2020-09-04T20:02:35.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-06-21T16:24:21.000Z (over 1 year ago)
• Last Synced: 2024-08-02T13:22:40.296Z (6 months ago)
• Topics: 3d, adjacency-matrix, csv, graph, greyscale, height-map, heightmap, heightmaps, images, matlab, npy, npy-files, numpy, numpy-arrays, octave, point-cloud, pointcloud, python, time-series, viewer
• Language: Python
• Homepage:
• Size: 2.02 MB
• Stars: 154
• Watchers: 7
• Forks: 46
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        



  



# 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

![screenshot](screenshots/ScreenShot1.png)

#### Plot 2D numpy arrays as grayscale images

![screenshot](screenshots/ScreenShot2.png)

#### Visualize heightmaps stored as 2D numpy arrays

![screenshot](screenshots/ScreenShot3.png) 

![screenshot](screenshots/ScreenShot4.png)

#### Visualize time series data stored as 1D numpy arrays

![screenshot](screenshots/ScreenShot5.png)

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

![screenshot](screenshots/ScreenShot7.png)

#### Print numpy arrays in terminal

![screenshot](screenshots/ScreenShot6.png)

### 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](LICENSE.md) file for details.