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def create_header_row(parameter_numbers, parameter_list):
    '''This function creates the header for a CSV file. 
    The putput of this function should be appended to a CSV file upon creation
    
    Input:
    ------
    Parameter List: A Python list consisting of strings corresponding to all electrical parameters provided by the smart meter
    Parameter Numbers: A Python list corresponding to chosen parameters (to be logged to CSV)

    Output:

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from configuration import THRESHOLD_TIME, DATA_BASE_PATH, BASE_UPLOAD_PATH
from dbupload import DropboxConnection
import db_password
import glob
import os
import time
import requests

email=db_password.email
password=db_password.password

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#First on Linux shell figure if the USB-serial convertor has been detected. 
# Type dmesg|grep tty and you should probably see the convertor and the tty USB port it is allocated. I shall assume you got #/dev/ttyUSB0

import serial,time
serial_port=serial.Serial('/dev/ttyUSB0')
file_pointer=open('data.csv','wb')
while True:
	a=s.readline()
	f.write(str(time.time.now())+","+a)

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#!/usr/bin/env python2.7
# script by Alex Eames http://RasPi.tv/
# http://raspi.tv/2013/how-to-use-interrupts-with-python-on-the-raspberry-pi-and-rpi-gpio
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
import time

# GPIO 23 set up as input. It is pulled up to stop false signals
GPIO.setup(17, GPIO.IN, pull_up_down=GPIO.PUD_DOWN)
GPIO.setup(23,GPIO.OUT)

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

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import web
import numpy as np
import time


urls = ("/*", "hello",
	"/upload","upload"
		)
app = web.application(urls, globals())

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import os
import json
import pprint
import csv


file = open( "filename_destination2.csv", "w")
files_in_dir = os.listdir('/home/shailja/readfiles')

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import matplotlib.pyplot as plt
import matplotlib.dates as md
import numpy as np
import datetime as dt
import time

data = np.genfromtxt('/home/milan/Projects/Summer_Project/AC/Data/data_1.csv',delimiter=',',names=['time1','date','temperature','humidity'])
#data2 = np.genfromtxt('/home/milan/Projects/Summer_Project/AC/Data/data_2.csv',delimiter=',',names=['time2','power'])
time = data['time1']
humidity = data['humidity']

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