https://github.com/ismielabir/pycsvdatacleaner

A lightweight Python package to clean CSV files
https://github.com/ismielabir/pycsvdatacleaner

csv data-preprocessing machine-learning python

Last synced: 2 months ago
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A lightweight Python package to clean CSV files

• Host: GitHub
• URL: https://github.com/ismielabir/pycsvdatacleaner
• Owner: IsmielAbir
• License: mit
• Created: 2025-04-21T07:55:56.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-21T08:05:03.000Z (about 1 year ago)
• Last Synced: 2026-04-25T03:59:48.413Z (2 months ago)
• Topics: csv, data-preprocessing, machine-learning, python
• Language: Python
• Homepage: https://pypi.org/project/PyCSVDataCleaner/
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md
  • License: License

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README

          
# PyCSVDataCleaner

[![PyPI](https://img.shields.io/pypi/v/PyCSVDataCleaner)](https://pypi.org/project/PyCSVDataCleaner/)

[![Python Version](https://img.shields.io/pypi/pyversions/PyCSVDataCleaner)](https://pypi.org/project/PyCSVDataCleaner/)

**PyCSVDataCleaner** is a simple Python package designed to clean CSV files. It helps you preprocess your data by:

- Removing duplicate rows

- Removing rows with missing values

- Removing constant columns

The package is easy to use and works with CSV files containing any kind of data. It is ideal for automating the data cleaning process during your machine learning or data analysis workflow.

---

## Features

- **Remove Duplicate Rows**: Automatically removes duplicate rows from the dataset.

- **Remove Rows with Missing Values**: Cleans your dataset by eliminating rows with empty cells.

- **Remove Constant Columns**: Removes columns that contain constant values across all rows.

## Installation

You can install **PyCSVDataCleaner** via pip:

```bash

pip install PyCSVDataCleaner

```

## Usage

```bash

from PyCSVDataCleaner import PyCSVDataCleaner

input_file = 'path_to_your_input_file.csv'

output_file = 'path_to_your_output_file.csv'

PyCSVDataCleaner(input_file, output_file)

```

## Example Output

When running the script, you'll get output in the terminal indicating how many rows and columns were removed or cleaned:

```bash

Cleaning file: fine_name.csv

--- Initial Data Info ---

Rows (excluding header): 129971

Columns: 14

Removed 0 duplicate rows.

Removed 107584 rows with missing values.

Removed 1 constant columns.

--- Cleaning Done ---

Final Rows: 22387

Final Columns: 13

```