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IndexError in "notebooks/Neural NILM test" #1

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jhyun0919 opened this issue Mar 21, 2016 · 3 comments
Open

IndexError in "notebooks/Neural NILM test" #1

jhyun0919 opened this issue Mar 21, 2016 · 3 comments

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@jhyun0919
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I am trying to run neural nilm in my pc environment, but the IndexError occurs like below.
How can I fix it?

stride_source = StrideSource(
    target_appliance=TARGET_APPLIANCE,
    seq_length=SEQ_LENGTH,
    filename=NILMTK_FILENAME,
    windows=WINDOWS,
    sample_period=SAMPLE_PERIOD,
    stride=STRIDE
)

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-4-971361e05051> in <module>()
      5     windows=WINDOWS,
      6     sample_period=SAMPLE_PERIOD,
----> 7     stride=STRIDE
      8 )

/Users/JH/Documents/GitHub/neuralnilm/neuralnilm/data/stridesource.pyc in __init__(self, target_appliance, seq_length, filename, windows, sample_period, stride, rng_seed)
     45         self.num_batches_for_validation = None
     46 
---> 47         self._load_data_into_memory()
     48         self._compute_num_sequences_per_building()
     49 

/Users/JH/Documents/GitHub/neuralnilm/neuralnilm/data/stridesource.pyc in _load_data_into_memory(self)
     71 
     72                 mains_meter = elec.mains()
---> 73                 mains_good_sections = mains_meter.good_sections()
     74 
     75                 appliance_meter = elec[self.target_appliance]

/private/var/root/nilmtk/nilmtk/elecmeter.pyc in good_sections(self, **loader_kwargs)
    630         results_obj = GoodSections.results_class(self.device['max_sample_period'])
    631         return self._get_stat_from_cache_or_compute(
--> 632             nodes, results_obj, loader_kwargs)        
    633 
    634     def _get_stat_from_cache_or_compute(self, nodes, results_obj, loader_kwargs):

/private/var/root/nilmtk/nilmtk/elecmeter.pyc in _get_stat_from_cache_or_compute(self, nodes, results_obj, loader_kwargs)
    684         if loader_kwargs.get('preprocessing') is None:
    685             cached_stat = self.get_cached_stat(key_for_cached_stat)
--> 686             results_obj.import_from_cache(cached_stat, sections)
    687 
    688             def find_sections_to_compute():

/private/var/root/nilmtk/nilmtk/stats/goodsectionsresults.pyc in import_from_cache(self, cached_stat, sections)
    116                     timeframes = []
    117                     for _, row in sections_df.iterrows():
--> 118                         section_start = tz_localize_naive(row['section_start'], tz)
    119                         section_end = tz_localize_naive(row['section_end'], tz)
    120                         timeframes.append(TimeFrame(section_start, section_end))

/Users/JH/anaconda2/lib/python2.7/site-packages/pandas/core/series.pyc in __getitem__(self, key)
    555     def __getitem__(self, key):
    556         try:
--> 557             result = self.index.get_value(self, key)
    558 
    559             if not np.isscalar(result):

/Users/JH/anaconda2/lib/python2.7/site-packages/pandas/core/index.pyc in get_value(self, series, key)
   1778         s = getattr(series,'_values',None)
   1779         if isinstance(s, Index) and lib.isscalar(key):
-> 1780             return s[key]
   1781 
   1782         s = _values_from_object(series)

/Users/JH/anaconda2/lib/python2.7/site-packages/pandas/tseries/base.pyc in __getitem__(self, key)
     98         getitem = self._data.__getitem__
     99         if np.isscalar(key):
--> 100             val = getitem(key)
    101             return self._box_func(val)
    102         else:

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices
@JackKelly
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Owner

I'm sorry, I'm afraid I'm crazy busy with other work at the moment and so this repository is currently unsupported. Please see the README for more details.

@jpcofr
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jpcofr commented Jul 11, 2016

@jhyun0919 were you able to run the notebooks and the core source code?

@mlemainque
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Downgrading pandas to 0.16.2 successfully fixed this issue for me

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