Welcome to Little Data Preprocessor! This Python package provides utility functions to aid in the preprocessing stages of machine learning and deep learning implementation. With a focus on ease of use and efficiency, it offers functions for handling missing values, removing infinity values, checking data integrity, and more.

• Drop Columns Based on Mean: Easily drop columns with a mean value of zero from your DataFrame.
• Drop Infinity Columns: Replace infinity values with NaN and drop rows containing these values.
• Write Column Datatypes to Text File: Export the datatypes of each column in your DataFrame to a text file.
• DataFrame Integrity Check: Perform comprehensive checks on your DataFrame for NaN values, infinity values, duplicates, and more.

You can install Little Data Preprocessor using pip:

pip install little_data_preprocessor