In [1]:

    

from __future__ import print_function, division
import unittest
from os.path import join
from os import remove
import pandas as pd
from nilmtk.datastore import HDFDataStore
from nilmtk import DataSet
from nilmtk.disaggregate import CombinatorialOptimisation


    

In [3]:

    

filename = join("../../data/", 'co_test.h5')
dataset = DataSet(filename)


    

In [6]:

    

elec = dataset.buildings[1].elec
co = CombinatorialOptimisation()
co.train(elec)
mains = elec.mains()
pred = co.disaggregate_chunk(mains.load(sample_period=1).next())


    

    




Training model for submeter 'ElecMeter(instance=2, building=1, dataset=None, appliances=[])'
Training model for submeter 'ElecMeter(instance=3, building=1, dataset=None, appliances=[])'
Done training!
Estimating power demand for 'ElecMeter(instance=2, building=1, dataset=None, appliances=[])'
Estimating power demand for 'ElecMeter(instance=3, building=1, dataset=None, appliances=[])'






    




/Users/nipunbatra/git/nilmtk/nilmtk/utils.py:390: FutureWarning: fill_method is deprecated to .resample()
the new syntax is .resample(...).ffill(limit=15)
  data = data.resample(**resample_kwargs)

In [19]:

    

gt = {}
for meter in elec.submeters().meters:
    gt[meter] = meter.load(sample_period=1).next().squeeze()


    

In [22]:

    

gt = pd.DataFrame(gt)


    

In [23]:

    

gt.equals(pred)


    

    
Out[23]:





False

In [24]:

    

gt.head()


    

    
Out[24]:






  

    

      

      
ElecMeter(instance=2, building=1, dataset=None, appliances=[])
      
ElecMeter(instance=3, building=1, dataset=None, appliances=[])
    
  
  

    

      
2012-01-01 00:00:00
      
0.0
      
0.0
    
    

      
2012-01-01 00:00:01
      
200.0
      
0.0
    
    

      
2012-01-01 00:00:02
      
0.0
      
1000.0
    
    

      
2012-01-01 00:00:03
      
200.0
      
1000.0
    
    

      
2012-01-01 00:00:04
      
0.0
      
0.0
    
  

In [27]:

    

pred.dtypes='float32'


    

    




---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-27-e6ad35da9a0b> in <module>()
----> 1 pred.dtypes='float32'

/Users/nipunbatra/anaconda/lib/python2.7/site-packages/pandas/core/generic.pyc in __setattr__(self, name, value)
   2775                     object.__setattr__(self, name, value)
   2776             except (AttributeError, TypeError):
-> 2777                 object.__setattr__(self, name, value)
   2778 
   2779     # ----------------------------------------------------------------------

AttributeError: can't set attribute

In [ ]: