Python script that returns a pandas dataframe containing global Consumer Price Indices

currentCPI.py

import requests
from bs4 import BeautifulSoup
import pandas as pd
import re
import sys

def currentCPI:
	url = 'http://www.tradingeconomics.com/country-list/consumer-price-index-(cpi)'
	r = requests.get(url)
	soup = BeautifulSoup(r.text)
	datatable_header = soup.find('thead', attrs={'class':'datatable-header'})
	headers = datatable_header.findAll('th')
	H = [h.text.strip() for h in headers]
	H[0] = u'Country'
	del H[-1]
	datatable_rows = soup.findAll('tr', attrs={'class':'datatable-row'})
	data = []
	for row in datatable_rows:
	    td = row.findAll('td')
	    rowvals = {}
	    for i in range(len(H)):
	        rowvals[H[i]] = td[i].text.strip()
	    data.append(rowvals)
	df = pd.DataFrame(data, columns=H)
	return df

How stable over time is the structure of the data page?

Might use for https://github.com/rsvp/fecon235

Please advise me at https://gitter.im/rsvp/fecon235 -- thanks!