Whenever you think about playing with data in python, the very first thing that you can consider is to use Pandas to wrangle the data into your playground. You can consider it to be the bread and butter for your data applications. If you see the above graph, it is clearly visible that in recent years, the trend of using Pandas has increasedĮxponentially and it is now one of the most common modules used by the entire data science community. Over the last few years, this module hasīeen gaining popularity and this can be explained if we see the search trends from Stack Overflow.įigure 1 – Pandas popularity from Stack Overflow Observations over multiple time periods for the same individuals”. “ The name Pandas is derived from the term ‘panel data’, an econometrics term for data sets that include As per the definition provided by Wikipedia,
Scope of this article, we will stick to learning Pandas in python only. Pandas can also visualize data within the pythonĮnvironment by importing another module known as matplotlib and display stunning visuals within it. Various transformations within the data frames, slicing and dicing the data, and then writing the data back to aĭatabase or prepare it for a visualization tool to be fed to. Pandas provide us with a range of data analysis options such as reading data from files and databases, to applying You can download this module by visiting the website or by installing it through the python package manager. This module is covered under the BSD license and can be used for free. Basically, it provides an easy interface to interact with flowing data and apply transformations to them on the go.
Pandas is one of the most popular modules in python that can be used for data manipulation and analysis using python.
DATA ANALYSIS WITH PANDAS AND PYTHON DOWNLOAD HOW TO
In this article, I am going to explain how to use Pandas in Python.