You're reading from The Pandas Workshop

Product typeBook

Published inJun 2022

Reading LevelBeginner

PublisherPackt

ISBN-139781800208933

Edition1st Edition

Languages

Python

Tools

NumPy Pandas

Concepts

Data Science

Authors (4):

Blaine Bateman

Saikat Basak

Thomas V. Joseph

William So

View More author details

Introducing pandas dtypes

When working with pandas, it is vital to make sure that you assign the correct data types to the values you're working with. Otherwise, you may end up getting unexpected results or errors when running certain operations or calculating aggregations. Having a good understanding of every data type in pandas will save you a lot of time and energy as you will considerably reduce the number of errors in your code.

Data types in pandas are internal labels that a programming language uses to understand how to store and manipulate data. For example, a program needs to understand that you can add two numbers together, such as 1 + 2, to get 3. Or, if you have two strings such as "data" and "frame," they can be concatenated to get "DataFrame."

Data types in pandas are called dtypes and should not be confused with Python's data type. We shall be using both data types and dtypes interchangeably throughout this chapter.

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The Pandas Workshop

Published in: Jun 2022Publisher: PacktISBN-13: 9781800208933

Authors (4)

Blaine Bateman

Blaine Bateman has more than 35 years of experience working with various industries from government R&D to startups to $1B public companies. His experience focuses on analytics including machine learning and forecasting. His hands-on abilities include Python and R coding, Keras/Tensorflow, and AWS & Azure machine learning services. As a machine learning consultant, he has developed and deployed actual ML models in industry.
Read more about Blaine Bateman

Saikat Basak

Saikat Basak is a data scientist and a passionate programmer. Having worked with multiple industry leaders, he has a good understanding of problem areas that can potentially be solved using data. Apart from being a data guy, he is also a science geek and loves to explore new ideas in the frontiers of science and technology.
Read more about Saikat Basak

Thomas V. Joseph

Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has extensive experience in solving business problems using machine learning toolsets across multiple industry segments.
Read more about Thomas V. Joseph

William So

William So is a Data Scientist with both a strong academic background and extensive professional experience. He is currently the Head of Data Science at Douugh and also a Lecturer for Master of Data Science and Innovation at the University of Technology Sydney. During his career, he successfully covered the end-end spectrum of data analytics from ML to Business Intelligence helping stakeholders derive valuable insights and achieve amazing results that benefits the business. William is a co-author of the "The Applied Artificial Intelligence Workshop" published by Packt.
Read more about William So

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Introducing pandas dtypes

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