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1371317400 | 2013-06-15 23:00:00 | 25.0 | 100 | |
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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 |
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1371320340 | 2013-06-15 23:49:00 | 25 | 100 | |
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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 |
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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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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() |
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#!/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 ] |