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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

Selecting items using mixed indexing

In the next section, we will see how to select items using mixed indexing.

Getting ready

Run the following code to load NumPy, and pandas, and to initialize a DataFrame object:

import numpy as np
import pandas as pd
df1 = pd.DataFrame([['Pen', 24, 2.39],
['Eraser', 32, 1.29],
['Sharpener', 12, 10.39],
['Pencil', 42, 0.59 ]],
index=[100024, 201024, 202034, 101122],
columns = ['item', 'inventory', 'unit_price'])

How to do it...

...
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