#### Overview of this book

Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations. Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations. In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques. By the end of this book, you will have hands-on experience performing data analysis with Python.
Table of Contents (8 chapters)
Preface
Free Chapter
The Anaconda Distribution and Jupyter Notebook
Vectorizing Operations with NumPy
Pandas - Everyone's Favorite Data Analysis Library
Visualization and Exploratory Data Analysis
Statistical Computing with Python
Introduction to Predictive Analytics Models
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# Object-oriented interface

We will now look into what object-oriented interface matplotlib is. We will discuss the following topics:

• The object-oriented interface
• Creating figures with a grid of subplots
• Plotting using methods

In the object-oriented interface, what we need to do is create the object and call methods for every object in order to make changes specifically to that object. Let's look at a simple example, where a plot is created using the object-oriented interface. We usually use the plt.subplots function to create two objects at the same time. When we create a figure object, we usually call it fig, and an axis object is usually called an ax. In this case, the default function would be to produce a figure with one axis object, or one subplot. As we create our objects, some changes are involved. In order to make changes to our objects, namely, the plot, the title...