Table-Cleaner

Introduction

Table-Cleaner is a validation framework for tabular data in the Pandas ecosystem. It can be used to validate data inside DataFrames and returns the cleaned data and information about errors as DataFrames for further processing.

Such data may come from CSV or Excel files. Using built-in and custom validators Table-Cleaner can be used to ensure data integrity.

DataFrames with information about the errors in such a table can then be used in documentation or web applications, or it can be further analyzed using the usual Pandas and scientific Python tools.

Table-Cleaner is largely inspired by the Django validators, which are used in forms, among other things.

Contents:

• Tutorial
  • Introduction
  • Basic Example
  • Markup Frames
  • Booleans
• Email validation
• Development
• Future Plans

Indices and tables

• Index
• Module Index
• Search Page