TabularScope

TabularScope is a Visual Studio Code extension that enhances CSV and PKL (Pickle) file viewing capabilities. It provides a user-friendly interface for working with tabular data directly within VS Code.

Features

• CSV and PKL Support: Automatically recognizes and provides viewing capabilities for CSV and PKL files.
• Quick View: Right-click on CSV or PKL files in the file explorer to open them in a formatted table view.
• Custom Python Environment: Ability to specify a custom Python path for PKL file processing.

Installation

1. Open Visual Studio Code
2. Go to the Extensions view (Ctrl+Shift+X)
3. Search for "TabularScope"
4. Click Install

Alternatively, you can download the VSIX file from the releases page and install it manually.

Usage

Viewing CSV Files

1. Open a CSV file in VS Code or right-click on a CSV file in the file explorer.
2. Either:
   • Use the command palette (Ctrl+Shift+P) and type "TabularScope: View CSV"
   • Or, select "Open with TabularScope" from the context menu.
3. The CSV content will be displayed in a formatted table view.

Viewing PKL Files

1. Open a PKL file in VS Code or right-click on a PKL file in the file explorer.
2. Either:
   • Use the command palette (Ctrl+Shift+P) and type "TabularScope: View PKL"
   • Or, select "Open with TabularScope" from the context menu.
3. The PKL content will be displayed in a formatted table view.

Configuration

TabularScope can be customized with the following settings:

• tabularScope.pythonPath: Specify the path to the Python executable. This is useful when using Anaconda environments or custom Python installations.

To set this:

1. Open VS Code settings (File > Preferences > Settings)
2. Search for "TabularScope"
3. In the "Python Path" field, enter the path to your Python executable.

For Anaconda environments, you might use something like:

/home/username/anaconda3/envs/your_env_name/bin/python

Or on Windows:

C:\Users\yukarinoki\Anaconda3\envs\your_env_name\python.exe

Requirements

• Visual Studio Code version 1.60.0 or higher
• Python with pandas library installed (for PKL file viewing)

Known Issues

• Large CSV or PKL files (>100MB) may cause performance issues.
• PKL viewing requires a working Python environment with pandas installed.

Release Notes

1.0.0

Initial release of TabularScope

• Basic CSV and PKL file viewing support
• Context menu integration for quick file opening
• Custom Python path configuration

Contributing

Contributions are always welcome!

License

This project is licensed under the MIT License.

Support

If you encounter any problems or have any suggestions, please file an issue on the GitHub repository.

Enjoy viewing your tabular data with TabularScope! 📊🔍