Table Tool

πŸ“‚ Special Text Editors πŸ‘€ AlViKub

Product Description

Table Tool is a professional utility for processing tabular data that allows you to:

- βœ… Clear the contents of selected columns in tables
- βœ… Delete entire columns from tabular files
- βœ… Process large files without the interface freezing

πŸ“ Supported Formats

πŸ”Ή Input Formats:
- Text files: `.csv`, `.tsv`, `.txt`
- Excel files: `.xlsx`, `.xls`

πŸ”Ή Output Formats:
- Text files: `.csv`, `.tsv`, `.txt`
- Excel files: `.xlsx`

πŸš€ Quick Start

1. πŸ“‚ Opening a file
- Click the "Open" button next to the "Input file" field
- Select your tabular file
- The program will automatically detect the delimiter and encoding

2. πŸ” Loading columns
- Click the "Load columns" button
- All columns of your table will appear in the dropdown list
- The preview area will display the headers and the first rows

3. βš™οΈ Selecting an action
🧹 Clear column - clears the data in the selected column
πŸ—‘οΈ Delete column - completely removes the column from the table

4. 🎯 Selecting a column
- Select a column from the dropdown list in the format `[number] name`
- Or enter the column number manually (starting from 0)

5. πŸ’Ύ Output settings
πŸ”’ Create .bak copy - creates a backup copy of the original file
πŸ“Š Export to Excel - converts the result to XLSX format
πŸ“ Output file - Specify the save path or leave it blank for automatic naming

6. πŸš€ Start Processing
- Click the "Start" button
- Monitor the progress in the progress bar
- Wait for the success message

πŸ› οΈ Additional Features

⌨️ Keyboard Shortcuts
- `Ctrl+C` - Copy
- `Ctrl+V` - Paste
- `Ctrl+X` - Cut
- Right-click - Context menu

πŸ”„ Batch Processing
- Multiple files can be processed sequentially
- Repeat steps 1-6 for each file

πŸ“‹ Preview
- The bottom of the window displays:
- A list of all columns with numbers
- A preview of the first 10 rows of data
- Automatically updates after processing

⚠️ Important Features

πŸŽͺ Automatic Format Detection
- The program automatically detects the delimiter (comma, tab, semicolon)
- Supports various text file encodings

πŸ› Error Handling
- Detailed error messages are displayed for file reading errors
- The program does not freeze when processing large files
- Maintains functionality with incorrect settings

πŸ’‘ Usage Tips

1. For large files, use text formats instead of Excel
2. Before mass processing, test on a small file
3. If the file does not open, try changing the encoding
4. Always create .bak copies for important data

πŸ†˜ Troubleshooting
❌ File does not open
- Check the file path
- Make sure the file is not open in another program
- Try a different encoding

❌ Incorrect data in preview
- The program may have incorrectly identified the delimiter
- Check the source file in a text editor

❌ Error when processing Excel
- Make sure... - Make sure openpyxl is installed: `pip install openpyxl`
- Check that the file is not password protected

The program does not require the installation of additional software and works on any version of Windows with Python 3.6+

Additional Information

Table Tool is a professional utility for processing tabular data that allows you to:

- βœ… Clear the contents of selected columns in tables
- βœ… Delete entire columns from tabular files
- βœ… Process large files without the interface freezing

πŸ“ Supported Formats

πŸ”Ή Input Formats:
- Text files: `.csv`, `.tsv`, `.txt`
- Excel files: `.xlsx`, `.xls`

πŸ”Ή Output Formats:
- Text files: `.csv`, `.tsv`, `.txt`
- Excel files: `.xlsx`

πŸš€ Quick Start

1. πŸ“‚ Opening a file
- Click the "Open" button next to the "Input file" field
- Select your tabular file
- The program will automatically detect the delimiter and encoding

2. πŸ” Loading columns
- Click the "Load columns" button
- All columns of your table will appear in the dropdown list
- The preview area will display the headers and the first rows

3. βš™οΈ Selecting an action
🧹 Clear column - clears the data in the selected column
πŸ—‘οΈ Delete column - completely removes the column from the table

4. 🎯 Selecting a column
- Select a column from the dropdown list in the format `[number] name`
- Or enter the column number manually (starting from 0)

5. πŸ’Ύ Output settings
πŸ”’ Create .bak copy - creates a backup copy of the original file
πŸ“Š Export to Excel - converts the result to XLSX format
πŸ“ Output file - Specify the save path or leave it blank for automatic naming

6. πŸš€ Start Processing
- Click the "Start" button
- Monitor the progress in the progress bar
- Wait for the success message

πŸ› οΈ Additional Features

⌨️ Keyboard Shortcuts
- `Ctrl+C` - Copy
- `Ctrl+V` - Paste
- `Ctrl+X` - Cut
- Right-click - Context menu

πŸ”„ Batch Processing
- Multiple files can be processed sequentially
- Repeat steps 1-6 for each file

πŸ“‹ Preview
- The bottom of the window displays:
- A list of all columns with numbers
- A preview of the first 10 rows of data
- Automatically updates after processing

⚠️ Important Features

πŸŽͺ Automatic Format Detection
- The program automatically detects the delimiter (comma, tab, semicolon)
- Supports various text file encodings

πŸ› Error Handling
- Detailed error messages are displayed for file reading errors
- The program does not freeze when processing large files
- Maintains functionality with incorrect settings

πŸ’‘ Usage Tips

1. For large files, use text formats instead of Excel
2. Before mass processing, test on a small file
3. If the file does not open, try changing the encoding
4. Always create .bak copies for important data

πŸ†˜ Troubleshooting
❌ File does not open
- Check the file path
- Make sure the file is not open in another program
- Try a different encoding

❌ Incorrect data in preview
- The program may have incorrectly identified the delimiter
- Check the source file in a text editor

❌ Error when processing Excel
- Make sure... - Make sure openpyxl is installed: `pip install openpyxl`
- Check that the file is not password protected

The program does not require the installation of additional software and works on any version of Windows with Python 3.6+
Price: $12.00
Seller: AlViKub
Currency: USD

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