kstohr

@import url(http://fonts.googleapis.com/css?family=Roboto+Slab:700|Exo+2:300,600);

/* Eric Meyer's Reset CSS v2.0 - http://cssreset.com */
html,body,div,span,applet,object,iframe,h1,h2,h3,h4,h5,h6,p,blockquote,pre,a,abbr,acronym,address,big,cite,code,del,dfn,em,img,ins,kbd,q,s,samp,small,strike,strong,sub,sup,tt,var,b,u,i,center,dl,dt,dd,ol,ul,li,fieldset,form,label,legend,table,caption,tbody,tfoot,thead,tr,th,td,article,aside,canvas,details,embed,figure,figcaption,footer,header,hgroup,menu,nav,output,ruby,section,summary,time,mark,audio,video{border:0;font-size:100%;font:inherit;vertical-align:baseline;margin:0;padding:0}article,aside,details,figcaption,figure,footer,header,hgroup,menu,nav,section{display:block}body{line-height:1}ol,ul{list-style:none}blockquote,q{quotes:none}blockquote:before,blockquote:after,q:before,q:after{content:none}table{border-collapse:collapse;border-spacing:0}

/* Solarized Palette - http://ethanschoonover.com/solarized ---------
  lightgray      : #819090;
  gray           : #70

kstohr

from Queue import Queue			# Threadsafe queue for threads to use
from collections import Counter    	# To count stuff for us
import datetime                    	# Because datetime printing is hard
from pprint import pprint
import time                    		# Should be obvious
import subprocess                	# Used to send notifications on mac
import sys                    		# Get system info
import threading 			# Should be obvious
import json                             # Also obvious

kstohr

import facebook
import pprint

access_token = facebook.get_app_access_token(app_id, app_secret)
graph = facebook.GraphAPI(access_token)
graph.timeout = 30
results = graph.request("search", {'type': 'place', 'q': query, 'center': latitude+','+longitude, 'distance': distance, 'fields': field_list})

pprint.pprint(results)

kstohr

#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]