Book Image

SciPy Recipes

By : V Kishore Ayyadevara, Ruben Oliva Ramos
Book Image

SciPy Recipes

By: V Kishore Ayyadevara, Ruben Oliva Ramos

Overview of this book

With the SciPy Stack, you get the power to effectively process, manipulate, and visualize your data using the popular Python language. Utilizing SciPy correctly can sometimes be a very tricky proposition. This book provides the right techniques so you can use SciPy to perform different data science tasks with ease. This book includes hands-on recipes for using the different components of the SciPy Stack such as NumPy, SciPy, matplotlib, and pandas, among others. You will use these libraries to solve real-world problems in linear algebra, numerical analysis, data visualization, and much more. The recipes included in the book will ensure you get a practical understanding not only of how a particular feature in SciPy Stack works, but also of its application to real-world problems. The independent nature of the recipes also ensure that you can pick up any one and learn about a particular feature of SciPy without reading through the other recipes, thus making the book a very handy and useful guide.
Table of Contents (11 chapters)

Annotating graphs

It is often convenient to annotate plots to indicate relevant features, or to add text with commentary to the graph. Matplotlib provides two main functions to add these features to a plot:

  • annotate() creates an annotation associated to a specific point in a graph, with an optional arrow pointing to the relevant value
  • text() adds generic text to a graph

The next recipe shows how to add the two kinds of annotation.

Getting ready

Start Jupyter and run the following three commands in an execution cell:

%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

How to do it…

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