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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

Computing the average, standard deviation, and higher moments of a distribution

In order to understand the way in which we can extract the average of a distribution, let us go through the following scenario.

How to do it...

We will initialize a normal distribution with a given average and standard deviation. Once initialized, we will consider the output that we should be expecting.

Initializing a normal distribution

A normal variable with a given mean and standard deviation can be initialized by using the rvs function in scipy.stats.norm:

  1. Import the relevant packages:
from scipy import stats
  1. Initialize a variable with a given mean and standard distribution:
x = stats.norm.rvs(loc=3, scale=2, size=(1000))

In the preceding...

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