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)

Running SciPy in a script

Executing a program from a text file is the most time-honored approach to running computer code. Since Python is an interpreted language, text files meant to be run with Python are called scripts. Scripts are an easy way to share and distribute your programs, since all code is encapsulated in a number of files that can be easily copied to another user's computer.

Getting ready

To follow this recipe, you need a text editor and and a Terminal window. The Terminal window must be open on the directory where your script is saved.

How to do it...

Running a script in Python is only a matter of typing the code with a text editor and running it using the Python interpreter. Enter the following sample code into the text editor:

import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm

plt.switch_backend('Qt5Agg')

fig = plt.figure()
ax = fig.gca(projection='3d')
ax.view_init(elev=25, azim=65)
xvalues = np.linspace(-4, 4, 40)
yvalues = np.linspace(-4, 4, 40)
xgrid, ygrid = np.meshgrid(xvalues, yvalues)
zvalues = xgrid**3 * ygrid + xgrid * ygrid**3
ax.plot_surface(xgrid, ygrid, zvalues, cmap=cm.coolwarm,
linewidth=0, antialiased=True)

plt.show()

Save the script in a file named script_test.py. Open a Terminal window on the directory where the script was saved and execute the following command from the system prompt:

python3 script_test.py

Running the script will produce a three-dimensional plot similar to the one displayed in the following screenshot:

Image produced by running script_test.py

The image displayed is interactive, and can be rotated and panned with the mouse. It is also possible to save the image to the disk. Notice that the script is suspended while the image is being displayed. To continue execution of the script, simply close the image. In our example, this will cause the script to end.