danjamker

def plot_ccdf(data):
    """
    Plot the complementary cumulative distribution function
    (1-CDF(x)) based on the data on the axes object.
    Note that this way of computing and plotting the ccdf is not
    the best approach for a discrete variable, where many
    observations can have exactly same value!
    """
    # Note that, here we use the convention for presenting an
    # empirical 1-CDF (ccdf) as discussed

danjamker

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Copyright (c) 2011-2012 Christopher D. Lasher
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to

danjamker

__author__ = 'danielkershaw'
import urllib2
import BeautifulSoup
import csv

def main():
    response = urllib2.urlopen('http://www.netlingo.com/acronyms.php')
    html = response.read()
    soup = BeautifulSoup.BeautifulSoup(html)
    div = soup.find("div", {"class": "list_box3"})

danjamker

def neighborhood(self, iterable):
    iterator = iter(iterable)
    prev = None
    item = iterator.next()  # throws StopIteration if empty.
    for next in iterator:
        yield (prev,item,next)
        prev = item
        item = next
    yield (prev,item,None)

danjamker

        tmp = WhitespaceTokenizer().tokenize(line)

        t = []

        #concatonate singe letter togeater e.g. N A M E would be NAME
        con = ""
        for word in tmp:
            if len(word) == 1:
                con += word
            else:

danjamker

from sys import stdout
from time import sleep

def printOnline(s, text):
  if s == int(text):
		stdout.write("(%d)," % int(text))
	else:
		stdout.write(text+",")
	
def printLine():