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Python Data Analysis, Second Edition

You're reading from   Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 3. The Pandas Primer 4. Statistics and Linear Algebra 5. Retrieving, Processing, and Storing Data 6. Data Visualization 7. Signal Processing and Time Series 8. Working with Databases 9. Analyzing Textual Data and Social Media 10. Predictive Analytics and Machine Learning 11. Environments Outside the Python Ecosystem and Cloud Computing 12. Performance Tuning, Profiling, and Concurrency A. Key Concepts
B. Useful Functions C. Online Resources

Interfacing with R

R provides a datasets package that contains sample datasets. The morley dataset has data from measurements of the speed of light made in 1879. The speed of light is a fundamental physical constant and its value is currently known very precisely. The data is described at http://stat.ethz.ch/R-manual/R-devel/library/datasets/html/morley.html. The speed of light value can be found in the scipy.constants module. The R data is stored in an R DataFrame with three columns:

  • The experiment number, from one to five
  • The run number, with twenty runs per experiment, bringing the total number of measurements to 100
  • The measured speed of light in kilometers per second with 299,000 subtracted

The rpy2.robjects.r() function executes R code in a Python environment. Load the data as follows:

pandas2ri.activate() 
r.data('morley') 

The Pandas library's R interface via the pandas.rpy.common module is deprecated, and thus it is suggested that the reader uses rpy2 objects module....

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