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{
 "metadata": {
  "name": "wiki_scrape"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {

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import numpy as np
import matplotlib.pyplot as plt

#As a path collection

from matplotlib.collections import LineCollection

fig, ax = plt.subplots()
r = np.arange(0, .075, 0.00001)
nverts = len(r)

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/* hack to clear screen in stata */

program define cls
 di _newline(`=c(pagesize)')
end

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# Provided you have set up the remote machine to share the folder you want
# You can do this

# get the IP address for the machine
nmblookup -I skipper-desktop

# cd to mount point
cd /media

# make a directory, if you need to

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import urllib
import re

def ungoogle(url, type="pdf"):
    try:
        return urllib.unquote(re.search("(?<=url=).+"+type, url).group())
    except:
        return urllib.parse.unquote(re.search("(?<=url=).+"type, url).group())

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states_abbrev_dict = {
        'AK': 'Alaska',
        'AL': 'Alabama',
        'AR': 'Arkansas',
        'AS': 'American Samoa',
        'AZ': 'Arizona',
        'CA': 'California',
        'CO': 'Colorado',
        'CT': 'Connecticut',
        'DC': 'District of Columbia',

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"""
Download all the Presidential Poll Data from Real Clear Politics and
put it in a DataFrame then put a bird on it.

Usage:

    data2012_state_recent = download_latest_state_polls()
    data2004, data2008, data2012 = download_national_polls()
    data2012_state = download_state_polls()

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"""
I received a file that had octal characters as ascii. Needed to map them to latin-1 unicode and be able to go back again to latin-1 octal.
Might not be completely general, but it works for me.

E.g., 

name = 'Duchy of Zweibr\\374cken'
octalchar_to_unicode(name)
unicode_to_octalchar(octalchar_to_unicode(name))
http://www.utoronto.ca/web/HTMLdocs/NewHTML/iso_table.html

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T = np.array([[0,1,0],[0, .1, .9],[.6, .4, 0]])
p = np.array([.5, .2, .3])
ps = [np.inf, p]
while np.all(np.abs(ps[-1] - ps[-2]) > 1e-8):
    ps.append(np.dot(ps[-1], T))

from scipy import linalg
# get the spectrum
eigs, evecs = linalg.eig(T, left=True, right=False)