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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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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 summary statistics of a dataset

Obtaining the summary statistics of a dataset helps us to understand quite a few attributes of the dataset:

  • Number of observations in the dataset
  • Minimum value and maximum value
  • Variance of the dataset
  • Mean values in the dataset
  • Skewness of the dataset
  • Kurtosis of the dataset

How to do it...

The summary statistics of a dataset can be obtained using the describe function within scipy.stats.

The process to obtain the summary statistics of a dataset is as follows:

  1. Import the relevant packages:
from scipy import stats
  1. Initialize an array:
a = np.arange(10)

In the preceding code, we have initialized a one-dimensional array.

  1. Fetch the summary statistics of the dataset (array)...
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