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Numerical Computing with Python

You're reading from   Numerical Computing with Python Harness the power of Python to analyze and find hidden patterns in the data

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789953633
Length 682 pages
Edition 1st Edition
Languages
Concepts
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Authors (5):
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Pratap Dangeti Pratap Dangeti
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Pratap Dangeti
Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
Allen Yu Allen Yu
Author Profile Icon Allen Yu
Allen Yu
Aldrin Yim Aldrin Yim
Author Profile Icon Aldrin Yim
Aldrin Yim
Claire Chung Claire Chung
Author Profile Icon Claire Chung
Claire Chung
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Table of Contents (21) Chapters Close

Title Page
Contributors
About Packt
Preface
1. Journey from Statistics to Machine Learning FREE CHAPTER 2. Tree-Based Machine Learning Models 3. K-Nearest Neighbors and Naive Bayes 4. Unsupervised Learning 5. Reinforcement Learning 6. Hello Plotting World! 7. Visualizing Online Data 8. Visualizing Multivariate Data 9. Adding Interactivity and Animating Plots 10. Selecting Subsets of Data 11. Boolean Indexing 12. Index Alignment 13. Grouping for Aggregation, Filtration, and Transformation 14. Restructuring Data into a Tidy Form 15. Combining Pandas Objects 1. Other Books You May Enjoy Index

Plotting our first graph


We will start with a simple line graph of a curve of squares, that is, y = x2.

Loading data for plotting

To visualize data, we should start with "having" some data. While we assume you have some nice data on hand to show, we will briefly show you how to load it in Python for plotting.

Data structures

There are several common data structures we will keep coming across.

List

List is a basic Python data type for storing a collection of values. A list is created by putting element values inside a square bracket. To reuse our list, we can give it a name and store it like this:

evens = [2,4,6,8,10]

When we want to get a series in a greater range, for instance, to get more data points for our curve of squares to make it smoother, we may use the Python range() function:

evens = range(2,102,2)

This command will give us all even numbers from 2 to 100 (both inclusive) and store it in a list named evens.

Numpy array

Very often, we deal with more complex data. If you need a matrix with multiple...

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