Python PecanStreetDatasetAdapter.generate_set_by_table_and_dataid Beispiele

Beispiel #1

Datei: single_house_week.py Projekt: abbylester1/wikienergy

import sys
import os.path

sys.path.append(os.path.abspath(os.path.join(os.pardir, os.pardir)))
import disaggregator as da
import disaggregator.PecanStreetDatasetAdapter as psda
import pickle

db_url = "postgresql://*****:*****@db.wiki-energy.org:5432/postgres"
psda.set_url(db_url)

schema = "shared"
table = "validated_01_2014"
dataid = "3893"
sample_rate = "15T"
appliance_set = psda.generate_set_by_table_and_dataid(schema, table, dataid, sample_rate)


appliance_set = appliance_set.generate_non_zero_set()

with open(os.path.join(os.pardir, os.pardir, "data", "home_3893_set_01_2014.pkl"), "w") as f:
    pickle.dump(appliance_set, f)

Beispiel #2

import sys
import os.path
sys.path.append(os.path.abspath(os.path.join(os.pardir,os.pardir)))
import disaggregator as da
import disaggregator.PecanStreetDatasetAdapter as psda
import pickle

db_url = "postgresql://*****:*****@db.wiki-energy.org:5432/postgres"
psda.set_url(db_url)

schema = 'shared'
table = 'validated_01_2014'
dataid = '3893'
sample_rate = '15T'
appliance_set = psda.generate_set_by_table_and_dataid(
	schema, table, dataid, sample_rate)


appliance_set = appliance_set.generate_non_zero_set()

with open(os.path.join(os.pardir,os.pardir,'data','home_3893_set_01_2014.pkl'),'w') as f:
	pickle.dump(appliance_set,f)