Resampling time series data

The technique of resmapling is illustrated using a time series on chemical concentration readings taken every two hours between 1^st January 1975 and 17^th 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 the DataFrame:

df = pd.read_csv('datasets/chemical-concentration-readings.csv') 
print('Shape of the dataset...