| name | csv-export-writer |
| description | Export pandas DataFrames or processed datasets to well-formatted CSV files with configurable encoding, delimiter, quoting, and column ordering. |
| version | 0.2.0 |
CSV Export Writer
Skill Summary
Writes tabular data (pandas DataFrames) to CSV files with fine-grained control over output formatting. Supports configurable delimiter, quoting style, encoding, column ordering, header customization, and optional row-number indexing. Handles special characters and Unicode content correctly.
Inputs
--input / -i: Path to input data file (Parquet, CSV, or Excel) (required)--output / -o: Output CSV file path (required)--delimiter / -d: Output delimiter (default: ,)--encoding / -e: Output encoding (default: utf-8-sig for Excel compatibility)--quoting: Quoting style: minimal, all, nonnumeric, none (default: minimal)--columns: Columns to include and their order (comma-separated; default: all)--no-header: Omit header row--no-index: Omit row index (default: true)--float-format: Format string for float columns (e.g., %.2f)--na-rep: String representation for missing values (default: empty)
Processing Steps
- Load input data
- Select and reorder columns if specified
- Apply float formatting
- Write CSV with specified options (delimiter, encoding, quoting)
- Report file size and row/column counts
Output
- CSV file at specified output path
- Console: Rows written, file size, encoding used
Implementation
- Command:
python3 ./skills/csv_export_writer/export.py -i <input> -o <output>
- Dependencies:
pandas
