コード例 #1
0
    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'))
コード例 #2
0
ファイル: test_pytables.py プロジェクト: DeanWay/petl
    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'))
コード例 #3
0
ファイル: pytables.py プロジェクト: DeanWay/petl
# 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()

コード例 #4
0
ファイル: pytables.py プロジェクト: trb116/pythonanalyzer

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()