clean-csv-tool 1.0.0

A utility for cleaning and normalizing CSV files

csv-cleaner

A Python utility for cleaning and normalizing CSV files. Designed for preparing messy raw data (especially OutSystems exports) for analysis or database imports.

Features

• Removes OutSystems N' prefix patterns
• Strips stray quotes and trailing semicolons
• Handles malformed rows with trailing delimiters
• Pads incomplete rows to maintain column alignment
• Supports batch processing of multiple CSV files
• Configurable input/output delimiters

Installation

git clone https://github.com/ShawnaRStaff/csv-cleaner.git
cd csv-cleaner
python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate
pip install -r requirements.txt

Usage

# Basic usage
python clean_csvs.py -i ./input_folder -o ./output_folder

# With custom delimiters
python clean_csvs.py -i ./input -o ./output --input-delimiter ";" --output-delimiter ","

# Verbose output
python clean_csvs.py -i ./input -o ./output -v

# Quiet mode (errors only)
python clean_csvs.py -i ./input -o ./output -q

Options

Option	Description	Default
-i, --input	Input folder containing CSV files	Required
-o, --output	Output folder for cleaned files	Required
--input-delimiter	Delimiter in input files	;
--output-delimiter	Delimiter in output files	,
-e, --encoding	File encoding	utf-8
-v, --verbose	Enable verbose output	Off
-q, --quiet	Suppress all output except errors	Off

Example

Input (data.csv):

"Name";"Age";"City";
"John";30;"New York";
N'Jane';25;  Los Angeles  ;
"Bob's Store";40;"Chicago";;

Output (data.csv):

Name,Age,City
John,30,New York
Jane,25,Los Angeles
Bobs Store,40,Chicago

Running Tests

pip install pytest
pytest tests/ -v

License

MIT