DataFrames form the main tooling option available in python when it comes to dealing with any dataset. In this and subsequent posts on the topic, I’m going to discuss all the available options of DataFrame to play with to get better insights into your data.

These posts are going to be a guide on how to get started playing with DataFrame. The topics in themselves are worth writing an article for each of them. However, I’ll give a basic understanding of them and in case if you want to dig deeper I’ll attach the links to in-depth tutorials about the topics.

In this part-1 of Manipulating DataFrames with Python, we’ll cover some basic techniques namely —

1. Slicing
2. Filtering
3. Indexing

#python #dataframes #indexing #pandas #data-analytics