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You're reading from  Mastering pandas. - Second Edition

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Published inOct 2019
Reading LevelIntermediate
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ISBN-139781789343236
Edition2nd Edition
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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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Labels, integer, and mixed indexing

In addition to the standard indexing operator, [], and attribute operator, there are operators provided in pandas to make the job of indexing easier and more convenient. By label indexing, we generally mean indexing by a header name, which tends to be a string value in most cases. These operators are as follows:

  • The .loc operator: This allows label-oriented indexing.
  • The .iloc operator: This allows integer-based indexing.
  • The .ix operator: This allows mixed label and integer-based indexing.

We'll now turn our attention to these operators.

Label-oriented indexing

The .loc operator supports pure label-based indexing. It accepts the following as valid inputs:

  • A single label such as...
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Mastering pandas. - Second Edition
Published in: Oct 2019Publisher: ISBN-13: 9781789343236

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