Book Image

Python Data Analysis - Second Edition

By : Ivan Idris
Book Image

Python Data Analysis - Second Edition

By: Ivan Idris

Overview of this book

Data analysis techniques generate useful insights from small and large volumes of data. Python, with its strong set of libraries, has become a popular platform to conduct various data analysis and predictive modeling tasks. With this book, you will learn how to process and manipulate data with Python for complex analysis and modeling. We learn data manipulations such as aggregating, concatenating, appending, cleaning, and handling missing values, with NumPy and Pandas. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. We learn how to visualize data using visualization libraries, along with advanced topics such as signal processing, time series, textual data analysis, machine learning, and social media analysis. The book covers a plethora of Python modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C++, and Boost libraries.
Table of Contents (22 chapters)
Python Data Analysis - Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Key Concepts
Online Resources

Installing and exploring Pandas


The minimal dependency set requirements for Pandas is given as follows:

  • NumPy: This is the fundamental numerical array package that we installed and covered extensively in the preceding chapters

  • python-dateutil: This is a date handling library

  • pytz: This handles time zone definitions

This list is the bare minimum; a longer list of optional dependencies can be located at http://pandas.pydata.org/pandas-docs/stable/install.html. We can install Pandas via PyPI with pip or easy_install, using a binary installer, with the aid of our operating system package manager, or from the source by checking out the code. The binary installers can be downloaded from http://pandas.pydata.org/getpandas.html.

The command to install Pandas with pip is as follows:

$ pip3 install pandas rpy2

rpy2 is an interface to R and is required because rpy is being deprecated. You may have to prepend the preceding command with sudo if your user account doesn't have sufficient rights.

As we saw...