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)

Creating a map with cartopy

There is a multitude of libraries based on Matplotlib dedicated to the creation of specialized graphs. In this recipe, we will discuss cartopy, which is a Python package for creating maps and handling the display of geographical information.

Getting ready

The first step is to install cartopy on your system. Since cartopy assumes a large number of dependencies, this recipe assumes that you have the Anaconda distribution installed. This being the case, simply run the following statement from the command line to install cartopy:

conda install -c conda-forge cartopy

After the installation finishes, start Jupyter and run the following three commands in an execution cell:

%matplotlib inline
import numpy...