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You're reading from  Mastering pandas. - Second Edition

Product typeBook
Published inOct 2019
Reading LevelIntermediate
Publisher
ISBN-139781789343236
Edition2nd Edition
Languages
Python
Tools
Pandas
Concepts
Scientific Computing
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Author (1)
Ashish Kumar
Ashish Kumar
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Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about Ashish Kumar

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A survey of methods on series

Let's use the following DataFrame to understand some methods and functions that can be used with a series:

sample_df = pd.DataFrame([["Pulp Fiction", 62, 46], ["Forrest Gump", 38, 46], ["Matrix", 26, 39], ["It's a Wonderful Life", 6, 0], ["Casablanca", 5, 6]], columns = ["Movie", "Wins", "Nominations"])
sample_df

The following is the output:

Sample DataFrame—IMDB database

The items() method

The items() method provides a means of iteratively accessing each row in a series or DataFrame. It performs a lazy evaluation to store each value in a row, along with the index in the form of a tuple. The results...

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Mastering pandas. - Second Edition
Published in: Oct 2019Publisher: ISBN-13: 9781789343236
© 2019 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.
Read more about Ashish Kumar

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