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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 FREE CHAPTER 2. NumPy Arrays 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

Statistics with Pandas DataFrames


The Pandas DataFrame has a dozen statistical methods. The following table lists these methods, along with a short description of each:

Method

Description

describe

This method returns a small table with descriptive statistics.

count

This method returns the number of non-NaN items.

mad

This method calculates the mean absolute deviation, which is a robust measure similar to the standard deviation.

median

This method returns the median. This is equivalent to the value at the 50th percentile.

min

This method returns the lowest value.

max

This method returns the highest value.

mode

This method returns the mode, which is the most frequently occurring value.

std

This method returns the standard deviation, which measures dispersion. It is the square root of the variance.

var

This method returns the variance.

skew

This method returns skewness. Skewness is indicative of the distribution symmetry.

kurt

This method returns...

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