dataMnp 0.1.0

A comprehensive library for data preprocessing tasks

DataAnalyse is a comprehensive Python library for data preprocessing tasks. It provides a set of functions and classes for handling missing values, outliers, text manipulation, feature engineering, data type conversion, categorical encoding, date and time manipulation, and more.

Features

• Data Cleaning: Handle missing values, outliers, and text data.
• String Manipulation: Remove stopwords, lowercase text, remove punctuation, and lemmatize text.
• Data Transformation: Convert data types, encode categorical variables, create new features, and handle date and time data.
• Date and Time Manipulation: Extract date components.
• Scalable: Works efficiently with large datasets.
• Easy to Use: Simple and intuitive API.

Installation

You can install DataAnalyse from PyPI using pip:

Usage

import DataAnalyse


# Example usage of DataAnalyse module
import DataAnalyse

# Example usage of specific modules within DataAnalyse
from DataAnalyse import OutlierHandler, StringManipulation

# Use cases
# Handle outliers
data = pd.read_csv('data.csv')
cleaned_data = OutlierHandler.remove_outliers_iqr(data, threshold=1.5)

# Text preprocessing
processed_text = StringManipulation.remove_stopwords(data, column='text_column')