Skip to Content
Practical Time Series Analysis
book

Practical Time Series Analysis

by PKS Prakash, Avishek Pal
September 2017
Beginner
244 pages
5h 20m
English
Packt Publishing
Content preview from Practical Time Series Analysis

Resampling time series data

The technique of resmapling is illustrated using a time series on chemical concentration readings taken every two hours between 1st January 1975 and 17th January 1975. The dataset has been downloaded from http://datamarket.com and is also available in the datasets folder of this book's GitHub repo.

We start by importing the packages required for running this example:

from __future__ import print_function 
import os 
import pandas as pd 
import numpy as np 
%matplotlib inline 
from matplotlib import pyplot as plt 

Then we set the working directory as follows:

os.chdir('D:/Practical Time Series') 

This is followed by reading the data from the CSV file in a pandas.DataFrame and displaying shape and the first 10 rows of ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Practical Time Series Analysis

Practical Time Series Analysis

Aileen Nielsen

Publisher Resources

ISBN: 9781788290227Supplemental Content