gregroberts

from itertools import permutations
def ret_unique(a):
	'''returns a copy of the list with:
		order preserved,
		permutations removed,
		repeat elements removed'''
	for i,el in enumerate(a):
		b = permutations(el,3)
		for el1 in b:

gregroberts

import httplib
import urllib
import urllib2 
import re
import csv
import logging
from cookielib import CookieJar

class pyGTrends(object):
	"""

gregroberts

import sqlite3

#this one line is all you need to set up a database
connection = sqlite3.connect('example')

#a cursor object is used to execute queries against the db
cursor = connection.cursor()

#create a table
cursor.execute('CREATE TABLE example (id real, value text)')

gregroberts

#odd quirk found on Python
#say you have a list of values, and you want a dict with keys for each item, and each value an empty array.
#I found myself in this situation, and I decided to do it like this:
l = ['a','b','c']
gg = dict(zip(l,[[]]*3))
gg
#however, when you try and put a value into one of those arrays:
gg['a'].append(1)
gg
#1: {'a': [1], 'b': [1], 'c': [1]}

gregroberts

import py2neo
import datetime

#where we write it
f_name = 'DBREPORT_%s.txt' % datetime.datetime.today().strftime('%Y-%m-%d')


#overwrite anything previous
with open(f_name,'wb') as f:
	f.write('REPORT COMPILATION STARTED AT %s' %  datetime.datetime.now())

gregroberts

from pandas.core.api import DataFrame
from pandas.tseries.tools import to_datetime

#save me at site-packages\pandas\io\cypher.py

def read_cypher(cypher, con, index_col=None, params = {},parse_dates = None, columns= None):
    '''
    Run a Cypher query against the graph at con, put the results into a df
    
    Parameters