#!/usr/bin/python

# coding=utf-8

# 2013-01 : philippelt@users.sourceforge.net

# This is an example of graphing Temperature and Humidity from a module on the last 3 days

# The Matplotlib library is used and should be installed before running this sample program

import datetime, time

import lnetatmo

from matplotlib import pyplot as plt

from matplotlib import dates

from matplotlib.ticker import FormatStrFormatter

# Access to the sensors

auth = lnetatmo.ClientAuth()

dev = lnetatmo.DeviceList(auth)

# Time of information collection : 3*24hours windows to now

now = time.time()

start = now - 3 * 24 * 3600

# Get Temperature and Humidity with GETMEASURE web service (1 sample every 30min)

resp = dev.getMeasure( device_id='xxxx', # Replace with your values

module_id='xxxx', # " " " "

scale="30min",

mtype="Temperature,Humidity",

date_begin=start,

date_end=now)

# Extract the timestamp, temperature and humidity from the more complex response structure

result = [(int(k),v[0],v[1]) for k,v in resp['body'].items()]

# Sort samples by timestamps (Warning, they are NOT sorted by default)

result.sort()

# Split in 3 lists for use with Matplotlib (timestamp on x, temperature and humidity on two y axis)

xval, ytemp, yhum = zip(*result)

# Convert the x axis values from Netatmo timestamp to matplotlib timestamp...

xval = [dates.date2num(datetime.datetime.fromtimestamp(x)) for x in xval]

# Build the two curves graph (check Matplotlib documentation for details)

fig = plt.figure()

plt.xticks(rotation='vertical')

graph1 = fig.add_subplot(111)

graph1.plot(xval, ytemp, color='r', linewidth=3)

graph1.set_ylabel(u'Température', color='r')

graph1.set_ylim(0, 25)

graph1.yaxis.grid(color='gray', linestyle='dashed')

for t in graph1.get_yticklabels() : t.set_color('r')

graph1.yaxis.set_major_formatter(FormatStrFormatter(u'%2.0f °C'))

graph2 = graph1.twinx()

graph2.plot(xval, yhum, color='b', linewidth=3)

graph2.set_ylabel(u'Humidité',color='b')

graph2.set_ylim(50,100)

for t in graph2.get_yticklabels(): t.set_color('b')

graph2.yaxis.set_major_formatter(FormatStrFormatter(u'%2i %%'))

graph1.xaxis.set_major_locator(dates.HourLocator(interval=6))

graph1.xaxis.set_minor_locator(dates.HourLocator())

graph1.xaxis.set_major_formatter(dates.DateFormatter("%d-%Hh"))

graph1.xaxis.grid(color='gray')

graph1.set_xlabel(u'Jour et heure de la journée')

# X display the resulting graph (you could generate a PDF/PNG/... in place of display).

# The display provides a minimal interface that notably allows you to save your graph

plt.show()