Book Image

Dancing with Python

By : Robert S. Sutor
Book Image

Dancing with Python

By: Robert S. Sutor

Overview of this book

Dancing with Python helps you learn Python and quantum computing in a practical way. It will help you explore how to work with numbers, strings, collections, iterators, and files. The book goes beyond functions and classes and teaches you to use Python and Qiskit to create gates and circuits for classical and quantum computing. Learn how quantum extends traditional techniques using the Grover Search Algorithm and the code that implements it. Dive into some advanced and widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language processing (NLP). The final chapters introduce you to data analysis, visualizations, and supervised and unsupervised machine learning. By the end of the book, you will be proficient in programming the latest and most powerful quantum computers, the Pythonic way.
Table of Contents (29 chapters)
Part I: Getting to Know Python
PART II: Algorithms and Circuits
PART III: Advanced Features and Libraries
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Appendix C: The Complete UniPoly Class
Appendix D: The Complete Guitar Class Hierarchy
Appendix F: Production Notes

14.6 Converting categorical data

The GENDER column contains categorical data rather than numeric. The items in the column belong to a fixed set of values, which are usually strings. In this case, the values are 'F' and 'M'. While we can check if an item is equal to one of these, it is often easier to convert the categorical column to multiple numeric “dummy columns” containing 0 and 1.

Here are the first two rows of df:

          Locality  Postcode  Breed  Colour Gender
0  DANDENONG NORTH      3175  DOMSH     TAB      F

and this is what we get when we use get_dummies on the GENDER column:

pd.get_dummies(df, columns=["Gender"]).head(2)
          Locality  Postcode  Breed  Colour  Gender_F  Gender_M
0  DANDENONG NORTH      3175  DOMSH     TAB         1         0
1  DANDENONG NORTH      3175  DOMLH ...