def test_convert_random_dataset():
input_filepath = 'data/random.h5'
output_filepath = 'data/random_csv'
if os.path.isdir(output_filepath):
shutil.rmtree(output_filepath)
input_store = HDFDataStore(input_filepath)
output_store = CSVDataStore(output_filepath)
convert_datastore(input_store, output_store)
input_store.close()
output_store.close()
def test_convert_random_dataset():
input_filepath = r'C:\Users\CVLab\Documents\nilm\nilmtk\data\random.h5'
output_filepath = r'C:\Users\CVLab\Documents\nilm\nilmtk\data\random_csv'
if os.path.isdir(output_filepath):
shutil.rmtree(output_filepath)
input_store = HDFDataStore(input_filepath)
output_store = CSVDataStore(output_filepath)
convert_datastore(input_store, output_store)
input_store.close()
output_store.close()
def test_convert_random_dataset():
input_filepath = 'data/random.h5'
output_filepath = 'data/random_csv'
if os.path.isdir(output_filepath):
shutil.rmtree(output_filepath)
input_store=HDFDataStore(input_filepath)
output_store=CSVDataStore(output_filepath)
convert_datastore(input_store, output_store)
input_store.close()
output_store.close()
def get_datastore(filename, format=None, mode='r'):
"""
Parameters
----------
filename : string
format : 'CSV' or 'HDF', default: infer from filename ending.
mode : 'r' (read-only), 'a' (append) or 'w' (write), default: 'r'
Returns
-------
metadata : dict
"""
if not format:
if filename.endswith(".h5"):
format = "HDF"
elif filename.endswith(".csv"):
format = "CSV"
if filename is not None:
if format == "HDF":
return HDFDataStore(filename, mode)
elif format == "CSV":
return CSVDataStore(filename)
else:
raise ValueError('format not recognised')
else:
ValueError('filename is None')
def get_datastore(filename, format, mode='a'):
"""
Parameters
----------
filename : string
format : 'CSV' or 'HDF'
mode : 'a' (append) or 'w' (write), optional
Returns
-------
metadata : dict
"""
if filename is not None:
if format == 'HDF':
return HDFDataStore(filename, mode)
elif format == 'CSV':
return CSVDataStore(filename)
else:
raise ValueError('format not recognised')
else:
ValueError('filename is None')
def setUpClass(cls):
filename = join(data_dir(), 'random_csv')
cls.datastore = CSVDataStore(filename)
cls.keys = ['/building1/elec/meter{:d}'.format(i) for i in range(1, 6)]
from nilmtk.datastore import HDFDataStore, CSVDataStore
from nilmtk.datastore.datastore import convert_datastore
import os
import shutil
input_filepath = 'data/random.h5'
output_filepath = 'data/random_csv'
if os.path.isdir(output_filepath):
shutil.rmtree(output_filepath)
input_store=HDFDataStore(input_filepath)
output_store=CSVDataStore(output_filepath)
convert_datastore(input_store, output_store)
input_store.close()
output_store.close()
from nilmtk.datastore import HDFDataStore, CSVDataStore
from nilmtk.datastore.datastore import convert_datastore
import os
import shutil
input_filepath = 'data/random.h5'
output_filepath = 'data/random_csv'
if os.path.isdir(output_filepath):
shutil.rmtree(output_filepath)
input_store = HDFDataStore(input_filepath)
output_store = CSVDataStore(output_filepath)
convert_datastore(input_store, output_store)
input_store.close()
output_store.close()