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SciPy Recipes

You're reading from   SciPy Recipes A cookbook with over 110 proven recipes for performing mathematical and scientific computations

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788291460
Length 386 pages
Edition 1st Edition
Languages
Tools
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Authors (3):
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V Kishore Ayyadevara V Kishore Ayyadevara
Author Profile Icon V Kishore Ayyadevara
V Kishore Ayyadevara
Ruben Oliva Ramos Ruben Oliva Ramos
Author Profile Icon Ruben Oliva Ramos
Ruben Oliva Ramos
Luiz Felipe Martins Luiz Felipe Martins
Author Profile Icon Luiz Felipe Martins
Luiz Felipe Martins
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting to Know the Tools FREE CHAPTER 2. Getting Started with NumPy 3. Using Matplotlib to Create Graphs 4. Data Wrangling with pandas 5. Matrices and Linear Algebra 6. Solving Equations and Optimization 7. Constants and Special Functions 8. Calculus, Interpolation, and Differential Equations 9. Statistics and Probability 10. Advanced Computations with SciPy

Data Wrangling with pandas

In this chapter, we will see the following recipes:

  • Creating Series objects
  • Creating DataFrame objects
  • Inserting and deleting columns to a DataFrame
  • Inserting and deleting rows to a DataFrame
  • Selecting items by row indexes and column labels
  • Selecting items by integer location
  • Selecting items using mixed indexing
  • Accessing, selecting, and modifying data
  • Selecting rows using Boolean selection
  • Reading and storing data in different formats
  • Data displays employing different kinds of visual representation
  • How to apply numerical functions and operations to Series and DataFrame objects
  • Computing statistical functions on Series and DataFrame objects
  • How to sort data in Series and DataFrame objects
  • Performing merging, joins, concatenation, and grouping
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