In [1]:

    

import numpy as np
import pandas as pd
from os.path import join

from pylab import rcParams
import matplotlib.pyplot as plt
%matplotlib inline
rcParams['figure.figsize'] = (13, 6)
plt.style.use('ggplot')
import nilmtk
from nilmtk import DataSet, TimeFrame, MeterGroup, HDFDataStore
from nilmtk.disaggregate import CombinatorialOptimisation, fhmm_exact
from nilmtk.utils import print_dict
from nilmtk.metrics import f1_score

import warnings
warnings.filterwarnings("ignore")


    

In [3]:

    

data_dir = '/Users/nipunbatra/Downloads/'
we = DataSet(join(data_dir, 'redd.h5'))
print('loaded ' + str(len(we.buildings)) + ' buildings')


    

    




loaded 6 buildings

In [4]:

    

building_number = 1
print_dict(we.buildings[building_number].metadata)


    

    





instance: 1
dataset: REDD
original_name: house_1

In [7]:

    

we.buildings[building_number].elec.draw_wiring_graph()


    

    
Out[7]:





(<networkx.classes.digraph.DiGraph at 0x10a7fdfd0>,
 <matplotlib.axes._axes.Axes at 0x10a7fdcd0>)






    

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