Book Image

Python Data Analysis - Third Edition

By : Avinash Navlani, Ivan Idris
5 (1)
Book Image

Python Data Analysis - Third Edition

5 (1)
By: Avinash Navlani, Ivan Idris

Overview of this book

Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this book, you’ll get up and running using Python for data analysis by exploring the different phases and methodologies used in data analysis and learning how to use modern libraries from the Python ecosystem to create efficient data pipelines. Starting with the essential statistical and data analysis fundamentals using Python, you’ll perform complex data analysis and modeling, data manipulation, data cleaning, and data visualization using easy-to-follow examples. You’ll then understand how to conduct time series analysis and signal processing using ARMA models. As you advance, you’ll get to grips with smart processing and data analytics using machine learning algorithms such as regression, classification, Principal Component Analysis (PCA), and clustering. In the concluding chapters, you’ll work on real-world examples to analyze textual and image data using natural language processing (NLP) and image analytics techniques, respectively. Finally, the book will demonstrate parallel computing using Dask. By the end of this data analysis book, you’ll be equipped with the skills you need to prepare data for analysis and create meaningful data visualizations for forecasting values from data.
Table of Contents (20 chapters)
Section 1: Foundation for Data Analysis
Section 2: Exploratory Data Analysis and Data Cleaning
Section 3: Deep Dive into Machine Learning
Section 4: NLP, Image Analytics, and Parallel Computing

Understanding pandas Series

pandas Series is a one-dimensional sequential data structure that is able to handle any type of data, such as string, numeric, datetime, Python lists, and dictionaries with labels and indexes. Series is one of the columns of a DataFrame. We can create a Series using a Python dictionary, NumPy array, and scalar value. We will also see the pandas Series features and properties in the latter part of the section. Let's create some Python Series:

  • Using a Python dictionary: Create a dictionary object and pass it to the Series object. Let's see the following example:
# Creating Pandas Series using Dictionary
dict1 = {0 : 'Ajay', 1 : 'Jay', 2 : 'Vijay'}

# Create Pandas Series
series = pd.Series(dict1)

# Show series

0 Ajay
1 Jay
2 Vijay
dtype: object
  • Using a NumPy array: Create a NumPy array object and pass it to the Series object. Let's see the following example:
#Load Pandas and NumPy libraries