def test_Table(self):
table = ds.Table(ds.Column('x', int, 5), ds.Column('y', float, 0.0),
ds.Column('name', str))
# Add a row to the table
table.addRow(1, x=12, y=11.0, name='jose')
table.addRow(2, x=22, y=21.0, name='juan')
table.addRow(3, x=32, y=31.0, name='pedro')
# Expect an exception, since name is not provided and have not default
self.assertRaises(Exception, table.addRow, 100, y=3.0)
row = table.getRow(1)
print row
self.assertEqual(table.getSize(), 3, "Bad table size")
# Update a value of a row
table.updateRow(1, name='pepe')
row = table.getRow(1)
print row
self.assertEqual(row.name, 'pepe', "Error updating name in row")
def _convertMdToTable(self, md):
""" Convert a metatada into a table. """
labels = md.getActiveLabels()
hasTransformation = self._hasTransformation(labels)
columns = [self._convertLabelToColumn(l, md) for l in labels]
#NAPA de LUXE (xmipp deberia saber a que campo va asignado el transformation matrix)
if hasTransformation:
columns.append(ds.Column("image_transformationMatrix", str))
labelsStr = [col.getName() for col in columns]
table = ds.Table(*columns)
for objId in md:
values = [md.getValue(l, objId) for l in labels]
if hasTransformation:
values.append(self._getTransformation(md, objId))
d = dict(zip(labelsStr, values))
table.addRow(objId, **d)
return table