def _convert_one_sec_data(ukdale_path, store, ac_type_map):
ids_of_one_sec_data = [
identifier for identifier, ac_types in ac_type_map.iteritems()
if ac_types == ['active', 'apparent']
]
if not ids_of_one_sec_data:
return
for identifier in ids_of_one_sec_data:
key = Key(building=identifier[0], meter=identifier[1])
print("Loading 1-second data for", key, "...")
house_path = 'house_{:d}'.format(key.building)
filename = join(ukdale_path, house_path, 'mains.dat')
df = _load_csv(filename, ONE_SEC_COLUMNS, TZ)
store.put(store, str(key), df)
# Set 'disabled' metadata attributes
# TODO: needs to use `nilmtk.DataStore` API rather than grabbing
# the `pd.HDFStore` directly.
group = store.store._handle.get_node('/building{:d}'.format(
key.building))
metadata = group._f_getattr('metadata')
metadata['elec_meters'][key.meter]['disabled'] = True
group._f_setattr('metadata', metadata)
store.store.flush()
store.close()
def _convert_one_sec_data(ukdale_path, store, ac_type_map):
ids_of_one_sec_data = [
identifier for identifier, ac_types in ac_type_map.iteritems()
if ac_types == ['active', 'apparent']]
if not ids_of_one_sec_data:
return
for identifier in ids_of_one_sec_data:
key = Key(building=identifier[0], meter=identifier[1])
print("Loading 1-second data for", key, "...")
house_path = 'house_{:d}'.format(key.building)
filename = join(ukdale_path, house_path, 'mains.dat')
df = _load_csv(filename, ONE_SEC_COLUMNS, TZ)
store.put(str(key), df)
# Set 'disabled' metadata attributes
# TODO: needs to use `nilmtk.DataStore` API rather than grabbing
# the `pd.HDFStore` directly.
group = store.store._handle.get_node('/building{:d}'.format(key.building))
metadata = group._f_getattr('metadata')
metadata['elec_meters'][key.meter]['disabled'] = True
group._f_setattr('metadata', metadata)
store.store.flush()
store.close()
def _convert_one_sec_data(ukdale_path, store, ac_type_map, drop_duplicates):
ids_of_one_sec_data = [
identifier for identifier, ac_types in iteritems(ac_type_map)
if ac_types == ['active', 'apparent']]
if not ids_of_one_sec_data:
return
for identifier in ids_of_one_sec_data:
key = Key(building=identifier[0], meter=identifier[1])
print("Loading 1-second data for", key, "...")
house_path = 'house_{:d}'.format(key.building)
filename = join(ukdale_path, house_path, 'mains.dat')
df = _load_csv(filename, ONE_SEC_COLUMNS, TZ, drop_duplicates=drop_duplicates)
store.put(str(key), df)
store.close()
def _convert_one_sec_data(ukdale_path, store, ac_type_map):
ids_of_one_sec_data = [
identifier for identifier, ac_types in iteritems(ac_type_map)
if ac_types == ['active', 'apparent']]
if not ids_of_one_sec_data:
return
for identifier in ids_of_one_sec_data:
key = Key(building=identifier[0], meter=identifier[1])
print("Loading 1-second data for", key, "...")
house_path = 'house_{:d}'.format(key.building)
filename = join(ukdale_path, house_path, 'mains.dat')
df = _load_csv(filename, ONE_SEC_COLUMNS, TZ)
store.put(str(key), df)
store.close()