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IPython Interactive Computing and Visualization Cookbook - Second Edition
book

IPython Interactive Computing and Visualization Cookbook - Second Edition

by Cyrille Rossant
January 2018
Beginner to intermediate
548 pages
12h 11m
English
Packt Publishing
Content preview from IPython Interactive Computing and Visualization Cookbook - Second Edition

Computing the autocorrelation of a time series

The autocorrelation of a time series can inform us about repeating patterns or serial correlation. The latter refers to the correlation between the signal at a given time and at a later time. The analysis of the autocorrelation can thereby inform us about the timescale of the fluctuations. Here, we use this tool to analyze the evolution of baby names in the US, based on data provided by the United States Social Security Administration.

How to do it...

  1. We import the following packages:
    >>> import os
        import numpy as np
        import pandas as pd
        import matplotlib.pyplot as plt
        %matplotlib inline
  2. We download the Babies dataset (available on the GitHub data repository of the book) using the requests third-party ...
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Publisher Resources

ISBN: 9781785888632