sudo apt-get install python-matplotlib libatlas-base-dev

forecast = session.get( "http://api.openweathermap.org/data/2.5/forecast?id=" + config.openWeatherCityName + "&units=metric&lang=fr&appid=" + config.openWeatherAPI)

weatherForcast = forecast.json()

weatherForcast = weatherForcast['list']

vitesseVent = []

labelle = []

# Keep only 9 first data

for forcast in weatherForcast[:9]:

    # extract the label

    letter = datetime.utcfromtimestamp(forcast['dt']).strftime('%a') # the day according to local abreviation

    letter = letter[:1].upper() + "." value = datetime.utcfromtimestamp(forcast['dt']).strftime('%Hh') labelle.append(letter + str(value))

    # extract the wind speed

    value = float(forcast['wind']['speed']) * 3.6

    vitesseVent.append(value)

# Create the graphic with wind speed ---------------------------------------------------------------

# figsize is in inch (depends of the dpi (72 by default))

fig = plt.figure(num=None, figsize=(7, 2), dpi=65, facecolor='w', edgecolor='k')

plt.plot( labelle, vitesseVent)

plt.title("Prévision vitesse vent (km/h) pour les prochaines 24h")

plt.ylabel('km/h')

plt.close()

fig.savefig(config.windSpeedPictureFile) # Save the graphique in this name's file