MyMask - Interactively Mask Your Data.

An interactive tool for masking spectrum (any x-y) data using Matplotlib and PyQt5. This tool allows users to visually mask and unmask points on a spectrum, providing an easy way to manipulate data for further analysis.

Features

• Load spectrum data from FITS or CSV files.
• Select which columns to use as X and Y for visualization.
• Interactively mask points by clicking on them (left-click to mask, right-click to unmask).
• Automatically save masked data to new CSV or FITS files.
• Visualize spectrum data in a user-friendly interface with zoom and pan capabilities.

Installation

To install the Interactive Spectrum Mask Tool, use pip:

pip install mymask

Usage

To run the application after installation, use the command:

mymask

Loading Data

• Click on the "Load Data" button to load your spectrum data.
• You can load either a CSV file or a FITS file.
• Once the file is loaded, use the dropdown menus to select the appropriate columns for X and Y.

Masking and Unmasking Points

• Left-click on a point in the plot to mask it.
• Right-click on a masked point to unmask it.
• The masked points will appear in red, while unmasked points will appear in blue.

Saving Data

• Click on the "Save Mask" button to save your mask.
• A new .csv file will be created with a suffix _mask containing the mask, including a mask column indicating which points are masked.

Dependencies

The tool requires the following Python packages:

• numpy
• pandas
• astropy
• PyQt5
• matplotlib

These dependencies will be automatically installed when you install the tool using pip.

Example

Here is a simple example of how to use the tool:

1. Run the tool using the command:

   mymask
   

2. Click "Load Data" to load a CSV or FITS file.
3. Select the columns to be used as X and Y for plotting.
4. Interactively mask/unmask data points as needed.
5. Click "Save Masked Data" to save your modifications.

License

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

Contributing

Contributions are welcome! Please open an issue or submit a pull request on the GitHub repository.

Contact

For any issues or questions, please contact lmytime@hotmail.com.

Enjoy using the Interactive Data Masking Tool to easily analyze and manipulate your data!