‘pandas’ is a Python library which supports and enables data manipulation in Python. To start
using functionalities of ‘pandas’ library, you have to import the library using the following code.
>>> import pandas as pd
Now, let’s create / load a data set as a Python DataFrame object, where it can be done in two ways
and it is explained as follows.
•Create a DataFrame from scratch and populate with values from data arrays.
•Create a DataFrame by loading data from a data file, for example, a .csv file.
Points to Ponder
❐Remember that ‘pd’ is just an alias for pandas. Aliasing ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.