app.py

from flask import Flask, render_template
import Adafruit_DHT  
import pandas as pd
import json
import plotly
import numpy as np

app = Flask(__name__)

def readFile(fileName):
	df = pd.read_csv(fileName, parse_dates = True, index_col = 0)
	df.head()
	return df

@app.route('/')
def index():
	humidity = readFile('sensor-values/humidity_living-room_log_2017.csv')
	temperature = readFile('sensor-values/temperature_living-room_log_2017.csv')

	print "mensajito1" + str(humidity.index)
	print "mensajito2" + str(humidity)

	graphs = [
		dict(
			data=[
				dict(
					x=humidity.index,  # Can use the pandas data structures directly
					y=humidity['relative_humidity']
				)
			],
			layout=dict(
				title='Historic Humidity'
			)
		),
		dict(
			data=[
				dict(
					x=temperature.index,  # Can use the pandas data structures directly
					y=temperature['temperature_in_celsius']
				)
			],
			layout=dict(
				title='Historic Temperature'
			)
		)
	]

	# Add "ids" to each of the graphs to pass up to the client
	# for templating
	ids = ['graph-{}'.format(i) for i, _ in enumerate(graphs)]

	# Convert the figures to JSON
	# PlotlyJSONEncoder appropriately converts pandas, datetime, etc
	# objects to their JSON equivalents
	graphJSON = json.dumps(graphs, cls=plotly.utils.PlotlyJSONEncoder)

	humidity_last, temperature_last = Adafruit_DHT.read_retry(Adafruit_DHT.AM2302, 4)
	
	return render_template('layouts/index.html',
                           ids=ids,
                           graphJSON=graphJSON, humidity=humidity_last, temperature=temperature_last)

if __name__ == '__main__':
	app.run(debug=True, host='0.0.0.0', port=80)