def test_integration():
f = NamedTemporaryFile()
# set up a new hdf5 table to work with
h5file = tables.open_file(f.name, mode="w", title="Test file")
h5file.create_group('/', 'testgroup', 'Test Group')
h5file.create_table('/testgroup', 'testtable', FooBar, 'Test Table')
h5file.flush()
h5file.close()
# load some initial data via tohdf5()
table1 = etl.wrap(
(('foo', 'bar'), (1, b'asdfgh'), (2, b'qwerty'), (3, b'zxcvbn')))
table1.tohdf5(f.name, '/testgroup', 'testtable')
ieq(table1, etl.fromhdf5(f.name, '/testgroup', 'testtable'))
# append some more data
table1.appendhdf5(f.name, '/testgroup', 'testtable')
ieq(chain(table1, table1[1:]),
etl.fromhdf5(f.name, '/testgroup', 'testtable'))
def test_integration():
f = NamedTemporaryFile()
# set up a new hdf5 table to work with
h5file = tables.open_file(f.name, mode="w", title="Test file")
h5file.create_group('/', 'testgroup', 'Test Group')
h5file.create_table('/testgroup', 'testtable', FooBar, 'Test Table')
h5file.flush()
h5file.close()
# load some initial data via tohdf5()
table1 = etl.wrap((('foo', 'bar'),
(1, b'asdfgh'),
(2, b'qwerty'),
(3, b'zxcvbn')))
table1.tohdf5(f.name, '/testgroup', 'testtable')
ieq(table1, etl.fromhdf5(f.name, '/testgroup', 'testtable'))
# append some more data
table1.appendhdf5(f.name, '/testgroup', 'testtable')
ieq(chain(table1, table1[1:]), etl.fromhdf5(f.name, '/testgroup',
'testtable'))
# load some data into the table
table1 = (('foo', 'bar'),
(1, b'asdfgh'),
(2, b'qwerty'),
(3, b'zxcvbn'))
for row in table1[1:]:
for i, f in enumerate(table1[0]):
h5table.row[f] = row[i]
h5table.row.append()
h5file.flush()
h5file.close()
#
# now demonstrate use of fromhdf5
table1 = etl.fromhdf5('example.h5', '/testgroup', 'testtable')
table1
# alternatively just specify path to table node
table1 = etl.fromhdf5('example.h5', '/testgroup/testtable')
# ...or use an existing tables.File object
h5file = tables.openFile('example.h5')
table1 = etl.fromhdf5(h5file, '/testgroup/testtable')
# ...or use an existing tables.Table object
h5tbl = h5file.getNode('/testgroup/testtable')
table1 = etl.fromhdf5(h5tbl)
# use a condition to filter data
table2 = etl.fromhdf5(h5tbl, condition='foo < 3')
table2
h5file.close()
h5table = h5file.createTable('/testgroup', 'testtable', FooBar, 'Test Table')
# load some data into the table
table1 = (('foo', 'bar'), (1, b'asdfgh'), (2, b'qwerty'), (3, b'zxcvbn'))
for row in table1[1:]:
for i, f in enumerate(table1[0]):
h5table.row[f] = row[i]
h5table.row.append()
h5file.flush()
h5file.close()
#
# now demonstrate use of fromhdf5
table1 = etl.fromhdf5('example.h5', '/testgroup', 'testtable')
table1
# alternatively just specify path to table node
table1 = etl.fromhdf5('example.h5', '/testgroup/testtable')
# ...or use an existing tables.File object
h5file = tables.openFile('example.h5')
table1 = etl.fromhdf5(h5file, '/testgroup/testtable')
# ...or use an existing tables.Table object
h5tbl = h5file.getNode('/testgroup/testtable')
table1 = etl.fromhdf5(h5tbl)
# use a condition to filter data
table2 = etl.fromhdf5(h5tbl, condition='foo < 3')
table2
h5file.close()
# fromhdf5sorted()