Pluie à la grange !

Ce notebook permet de visualisé le nombre de mm de pluie tombé par jour à la grange



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%pylab inline
%load_ext autoreload
%autoreload 2









    



Populating the interactive namespace from numpy and matplotlib



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import pandas as pd
import numpy as np
from matplotlib import pylab as plt

import time
from datetime import datetime

from source_emoncms import EmoncmsSource

Creation de 'emonsrc' interface avec les systeme de stockage des data de la grange.



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with open("emonsrc_config.txt") as emoncfg:
    url = emoncfg.readline().strip()
    key = emoncfg.readline().strip()
    emonsrc = EmoncmsSource(url=url, apikey=key)



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rain_feed = 45
nb_day = 30*5
now = time.time()

# compute date params
start_ts = now - nb_day*24*60*60
start = datetime.fromtimestamp(start_ts)
print "Start at: %s" % start

delta_sec = 60*60 # measure each hour
nb_data = (nb_day*60*60*24)/delta_sec
print delta_sec, nb_data



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# get data
rain_accu = emonsrc.get_data(rain_feed, start, delta_sec, nb_data=nb_data)
print "first %s" % rain_accu.index[0]
print "last  %s" % rain_accu.index[-1]



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rain_accu_day = rain_accu.resample("D", how="last")
nbnan = np.count_nonzero(np.isnan(rain_accu_day))
print("Got %s missing values (on %s)" % (nbnan, len(rain_accu_day) ))
rain_accu_day = rain_accu_day.fillna(method="pad").fillna(method="bfill")
print rain_accu_day

Affichage des données brutes et resamplées



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ax = rain_accu.plot()
rain_accu_day.plot(style="r", figsize=(14, 6))

Calcul et affichage de la pluie en mm/jour



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last_day_rain = rain_accu_day.tshift(1)
rain_by_day = rain_accu_day - last_day_rain
rain_by_day.name = "rain_by_day"



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#print "## end of the day"
#print rain_accu_day[1:]
#print "## end of the LAST last day"
#print last_day_rain
#print "## rain by day"
#print rain_by_day[1:-1]



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rain_by_day["2014-11-2"]



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all_data = pd.concat([rain_accu_day[1:], rain_by_day[1:-1]], axis=1)



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plt.figure(figsize=(13,5))

ax = all_data['rain_by_day'].plot(
    style="cd-",
    label="mm/day",
)
ax2 = all_data['ext_rain'].plot(
    kind="area",
    color="m", alpha=0.1,
    ax=ax,
    secondary_y=True,
)
ax.set_ylabel('mm/day')
ax.right_ax.set_ylabel('mm (total)')



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