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Data cleaning

A collection of 5 posts

Python Regex examples - How to use Regex with Pandas
Regex

Python Regex examples - How to use Regex with Pandas

If you need a refresher on how Regular Expressions work, check out my RegEx guide first! This tutorial will walk you through pattern extraction from one Pandas column to another using detailed RegEx

  • Anna Zverkova
    Anna Zverkova
5 min read
Python regular expressions (RegEx) simple yet complete guide for beginners
Regex

Python regular expressions (RegEx) simple yet complete guide for beginners

In this tutorial, you will learn about regular expressions, called RegExes (RegEx) for short, and use Python's re module to work with regular expressions. RegEx is incredibly useful, and so you must get

  • Anna Zverkova
    Anna Zverkova
6 min read
Delete column/row from a Pandas dataframe using .drop() method
Pandas

Delete column/row from a Pandas dataframe using .drop() method

While working with data in Pandas, you might want to drop a column(s) or some rows from a pandas dataframe. One typically deletes columns/rows, if they are not needed for further

  • Anna Zverkova
    Anna Zverkova
5 min read
The ultimate beginners guide to Group by in Python Pandas
Pandas

The ultimate beginners guide to Group by in Python Pandas

When should you use group by in general? I would say group by is a good idea any time you want to analyse some pandas series by some category.  Group by in Python

  • Anna Zverkova
    Anna Zverkova
4 min read
Guide to renaming columns with Python Pandas
Jupyter notebooks

Guide to renaming columns with Python Pandas

One of the most common actions while cleaning data or doing exploratory data analysis (EDA) is manipulating/fixing/renaming column names. So in this post, we will explore various methods of renaming columns

  • Anna Zverkova
    Anna Zverkova
2 min read
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