Milan Jain milan1267

## data_2.csv

          
            1371317400
            2013-06-15 23:00:00
            25.0
            100

            
              1371317400
              2013-06-15 23:00:00
              25.0
              100

            
              1371317400
              2013-06-15 23:00:00
              25.0
              100

            
              1371317400
              2013-06-15 23:00:00
              25.0
              100

            
              1371319200
              2013-06-15 23:30:00
              25.0
              100

            
              1371319200
              2013-06-15 23:30:00
              25.0
              100

            
              1371319200
              2013-06-15 23:30:00
              25.0
              100

            
              1371321000
              2013-06-16 00:00:00
              25.0
              100

            
              1371321000
              2013-06-16 00:00:00
              25.0
              100

            
              1371321000
              2013-06-16 00:00:00
              25.0
              100

## data_1.csv

          
            1371320340
            2013-06-15 23:49:00
            25
            100

            
              1371407460
              2013-06-17 00:01:00
              25
              100

            
              1371408060
              2013-06-17 00:11:00
              25
              100

            
              1371408660
              2013-06-17 00:21:00
              25
              100

            
              1371409260
              2013-06-17 00:31:00
              25
              100

            
              1371409860
              2013-06-17 00:41:00
              25
              100

            
              1371410460
              2013-06-17 00:51:00
              25
              100

            
              1371411060
              2013-06-17 01:01:00
              25
              100

            
              1371411720
              2013-06-17 01:12:00
              25
              100

            
              1371412320
              2013-06-17 01:22:00
              25
              100

## plot_data.py
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']

## get_weather_details.py
APPKEY = "er38w9t3fqv4z56dch97d4un"
CITY = "New Delhi"
FORMAT = "json"
BASE_URL = "http://api.worldweatheronline.com/free/v1/weather.ashx"
REQUEST_URL = BASE_URL+"?q=%s&format=%s&key=%s" %(CITY,FORMAT,APPKEY)

import requests
import datetime

json_data=requests.get(REQUEST_URL).json()

## ping_test
#!/bin/sh

NUMBER_OF_PING_REQUESTS=4
ROUTER_ADDRESS="192.168.0.1"
SLEEP_TIME=900

while true
do
	PACKETS_RECEIVED=`ping -c $NUMBER_OF_PING_REQUESTS $ROUTER_ADDRESS | grep "received" | awk '{print $4}'`
	if [ $PACKETS_RECEIVED -eq 0 ]
1371317400	2013-06-15 23:00:00	25.0	100
1371317400	2013-06-15 23:00:00	25.0	100
1371317400	2013-06-15 23:00:00	25.0	100
1371317400	2013-06-15 23:00:00	25.0	100
1371319200	2013-06-15 23:30:00	25.0	100
1371319200	2013-06-15 23:30:00	25.0	100
1371319200	2013-06-15 23:30:00	25.0	100
1371321000	2013-06-16 00:00:00	25.0	100
1371321000	2013-06-16 00:00:00	25.0	100
1371321000	2013-06-16 00:00:00	25.0	100
1371320340	2013-06-15 23:49:00	25	100
1371407460	2013-06-17 00:01:00	25	100
1371408060	2013-06-17 00:11:00	25	100
1371408660	2013-06-17 00:21:00	25	100
1371409260	2013-06-17 00:31:00	25	100
1371409860	2013-06-17 00:41:00	25	100
1371410460	2013-06-17 00:51:00	25	100
1371411060	2013-06-17 01:01:00	25	100
1371411720	2013-06-17 01:12:00	25	100
1371412320	2013-06-17 01:22:00	25	100
	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']
	APPKEY = "er38w9t3fqv4z56dch97d4un"
	CITY = "New Delhi"
	FORMAT = "json"
	BASE_URL = "http://api.worldweatheronline.com/free/v1/weather.ashx"
	REQUEST_URL = BASE_URL+"?q=%s&format=%s&key=%s" %(CITY,FORMAT,APPKEY)

	import requests
	import datetime

	json_data=requests.get(REQUEST_URL).json()
	#!/bin/sh

	NUMBER_OF_PING_REQUESTS=4
	ROUTER_ADDRESS="192.168.0.1"
	SLEEP_TIME=900

	while true
	do
	PACKETS_RECEIVED=`ping -c $NUMBER_OF_PING_REQUESTS $ROUTER_ADDRESS \| grep "received" \| awk '{print $4}'`
	if [ $PACKETS_RECEIVED -eq 0 ]