def mouseMoveEvent(self, event):
if event.buttons() & Qt.LeftButton:
if not self.__autoScrollTimer.isActive() and \
self.__shouldAutoScroll(event.pos()):
self.__startAutoScroll()
QGraphicsView.mouseMoveEvent(self, event)
def setUp(self):
super(TestAnchorLayout, self).setUp()
self.scene = CanvasScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.show()
self.view.resize(600, 400)
def mouseMoveEvent(self, event):
if event.buttons() & Qt.LeftButton:
if not self.__autoScrollTimer.isActive() and \
self.__shouldAutoScroll(event.pos()):
self.__startAutoScroll()
QGraphicsView.mouseMoveEvent(self, event)
def mousePressEvent(self, event):
self._start_pos = event.pos()
if event.button() == Qt.LeftButton:
# Save the current selection and restore it on mouse{Move,Release}
if not event.modifiers() & Qt.ShiftModifier:
self._selection = []
QGraphicsView.mousePressEvent(self, event)
def setUp(self):
import logging
from AnyQt.QtWidgets import QApplication, QGraphicsScene, QGraphicsView
from AnyQt.QtGui import QPainter
from AnyQt.QtCore import QTimer
logging.basicConfig()
self.app = QApplication([])
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(QPainter.Antialiasing
| QPainter.SmoothPixmapTransform
| QPainter.TextAntialiasing)
self.view.resize(500, 300)
self.view.show()
QTimer.singleShot(10000, self.app.exit)
def my_excepthook(*args):
sys.setrecursionlimit(1010)
traceback.print_exc(limit=4)
self._orig_excepthook = sys.excepthook
sys.excepthook = my_excepthook
self.singleShot = QTimer.singleShot
def __setupUi(self):
layout = QVBoxLayout()
# Scene with the link editor.
self.scene = LinksEditScene()
self.view = QGraphicsView(self.scene)
self.view.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setRenderHint(QPainter.Antialiasing)
self.scene.editWidget.geometryChanged.connect(self.__onGeometryChanged)
# Ok/Cancel/Clear All buttons.
buttons = QDialogButtonBox(QDialogButtonBox.Ok |
QDialogButtonBox.Cancel |
QDialogButtonBox.Reset,
Qt.Horizontal)
clear_button = buttons.button(QDialogButtonBox.Reset)
clear_button.setText(self.tr("Clear All"))
buttons.accepted.connect(self.accept)
buttons.rejected.connect(self.reject)
clear_button.clicked.connect(self.scene.editWidget.clearLinks)
layout.addWidget(self.view)
layout.addWidget(buttons)
self.setLayout(layout)
layout.setSizeConstraint(QVBoxLayout.SetFixedSize)
self.setSizeGripEnabled(False)
def test_editlinksnode(self):
from ...registry.tests import small_testing_registry
reg = small_testing_registry()
file_desc = reg.widget("Orange.widgets.data.owfile.OWFile")
bayes_desc = reg.widget("Orange.widgets.classify.ownaivebayes."
"OWNaiveBayes")
source_node = SchemeNode(file_desc, title="This is File")
sink_node = SchemeNode(bayes_desc)
scene = QGraphicsScene()
view = QGraphicsView(scene)
node = EditLinksNode(node=source_node)
scene.addItem(node)
node = EditLinksNode(direction=Qt.RightToLeft)
node.setSchemeNode(sink_node)
node.setPos(300, 0)
scene.addItem(node)
view.show()
view.resize(800, 300)
self.app.exec_()
def setUp(self):
QAppTestCase.setUp(self)
self.scene = CanvasScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.show()
self.view.resize(600, 400)
def setUp(self) -> None:
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.resize(300, 300)
self.widget = DendrogramWidget()
self.scene.addItem(self.widget)
def __init__(self):
super().__init__()
# Diagram update is in progress
self._updating = False
# Input update is in progress
self._inputUpdate = False
# Input datasets in the order they were 'connected'.
self.data = {}
# Extracted input item sets in the order they were 'connected'
self.itemsets = {}
# A list with 2 ** len(self.data) elements that store item sets
# belonging to each area
self.disjoint = []
# A list with 2 ** len(self.data) elements that store keys of tables
# intersected in each area
self.area_keys = []
# Main area view
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.setBackgroundRole(QPalette.Window)
self.view.setFrameStyle(QGraphicsView.StyledPanel)
self.mainArea.layout().addWidget(self.view)
self.vennwidget = VennDiagram()
self._resize()
self.vennwidget.itemTextEdited.connect(self._on_itemTextEdited)
self.scene.selectionChanged.connect(self._on_selectionChanged)
self.scene.addItem(self.vennwidget)
controls = gui.hBox(self.mainArea)
box = gui.radioButtonsInBox(controls,
self,
'rowwise', [
"Columns (features)",
"Rows (instances), matched by",
],
box="Elements",
callback=self._on_matching_changed)
gui.comboBox(gui.indentedBox(box),
self,
"selected_feature",
model=itemmodels.VariableListModel(
placeholder="Instance identity"),
callback=self._on_inputAttrActivated)
box.setSizePolicy(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed)
self.outputs_box = box = gui.vBox(controls, "Output")
self.output_duplicates_cb = gui.checkBox(
box,
self,
"output_duplicates",
"Output duplicates",
callback=lambda: self.commit()) # pylint: disable=unnecessary-lambda
gui.auto_send(box, self, "autocommit", box=False)
self.output_duplicates_cb.setEnabled(bool(self.rowwise))
self._queue = []
def setUp(self):
super().setUp()
self.scene = CanvasScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(QPainter.Antialiasing |
QPainter.TextAntialiasing)
self.view.show()
self.view.resize(400, 300)
def setUp(self):
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.item = GraphicsTextItem()
self.item.setPlainText("AAA")
self.item.setTextInteractionFlags(Qt.TextEditable)
self.scene.addItem(self.item)
self.view.setFocus()
def __init__(self, parent=None):
super().__init__(parent)
## Attributes
self.data = None
self.distances = None
self.groups = None
self.unique_pos = None
self.base_group_index = 0
## GUI
box = gui.widgetBox(self.controlArea, "Info")
self.info_box = gui.widgetLabel(box, "\n")
## Separate By box
box = gui.widgetBox(self.controlArea, "Separate By")
self.split_by_model = itemmodels.PyListModel(parent=self)
self.split_by_view = QListView()
self.split_by_view.setSelectionMode(QListView.ExtendedSelection)
self.split_by_view.setModel(self.split_by_model)
box.layout().addWidget(self.split_by_view)
self.split_by_view.selectionModel().selectionChanged.connect(
self.on_split_key_changed)
## Sort By box
box = gui.widgetBox(self.controlArea, "Sort By")
self.sort_by_model = itemmodels.PyListModel(parent=self)
self.sort_by_view = QListView()
self.sort_by_view.setSelectionMode(QListView.ExtendedSelection)
self.sort_by_view.setModel(self.sort_by_model)
box.layout().addWidget(self.sort_by_view)
self.sort_by_view.selectionModel().selectionChanged.connect(
self.on_sort_key_changed)
## Distance box
box = gui.widgetBox(self.controlArea, "Distance Measure")
gui.comboBox(box, self, "selected_distance_index",
items=[name for name, _ in self.DISTANCE_FUNCTIONS],
callback=self.on_distance_measure_changed)
self.scene = QGraphicsScene()
self.scene_view = QGraphicsView(self.scene)
self.scene_view.setRenderHints(QPainter.Antialiasing)
self.scene_view.setAlignment(Qt.AlignLeft | Qt.AlignVCenter)
self.mainArea.layout().addWidget(self.scene_view)
self.scene_view.installEventFilter(self)
self._disable_updates = False
self._cached_distances = {}
self._base_index_hints = {}
self.main_widget = None
self.resize(800, 600)
def __init__(self):
super().__init__()
self.setLayout(QHBoxLayout())
self.layout().setContentsMargins(0, 0, 0, 0)
self.setFixedSize(50, 50)
view = QGraphicsView()
self.layout().addWidget(view)
self.scene = QGraphicsScene(view)
view.setScene(self.scene)
def setUp(self):
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(QPainter.Antialiasing
| QPainter.SmoothPixmapTransform
| QPainter.TextAntialiasing)
self.view.resize(500, 300)
self.view.show()
def __init__(self, *args):
QGraphicsView.__init__(self, *args)
self.setAlignment(Qt.AlignTop | Qt.AlignLeft)
self.__backgroundIcon = QIcon()
self.__autoScroll = False
self.__autoScrollMargin = 16
self.__autoScrollTimer = QTimer(self)
self.__autoScrollTimer.timeout.connect(self.__autoScrollAdvance)
def __init__(self, *args):
QGraphicsView.__init__(self, *args)
self.setAlignment(Qt.AlignTop | Qt.AlignLeft)
self.__backgroundIcon = QIcon()
self.__autoScroll = False
self.__autoScrollMargin = 16
self.__autoScrollTimer = QTimer(self)
self.__autoScrollTimer.timeout.connect(self.__autoScrollAdvance)
def effective_background(scene: QGraphicsScene, view: QGraphicsView):
background = scene.backgroundBrush()
if background.style() != Qt.NoBrush:
return background
background = view.backgroundBrush()
if background.style() != Qt.NoBrush:
return background
viewport = view.viewport()
role = viewport.backgroundRole()
if role != QPalette.NoRole:
return viewport.palette().brush(role)
return viewport.palette().brush(QPalette.Window)
def drawBackground(self, painter, rect):
QGraphicsView.drawBackground(self, painter, rect)
if not self.__backgroundIcon.isNull():
painter.setClipRect(rect)
vrect = QRect(QPoint(0, 0), self.viewport().size())
vrect = self.mapToScene(vrect).boundingRect()
pm = self.__backgroundIcon.pixmap(vrect.size().toSize().boundedTo(
QSize(200, 200)))
pmrect = QRect(QPoint(0, 0), pm.size())
pmrect.moveCenter(vrect.center().toPoint())
if rect.toRect().intersects(pmrect):
painter.drawPixmap(pmrect, pm)
def __init__(self):
super().__init__()
self.dataset = None
self.attrs = DomainModel(valid_types=Orange.data.DiscreteVariable,
separators=False)
cb = gui.comboBox(self.controlArea,
self,
"attribute",
box=True,
model=self.attrs,
callback=self.update_scene,
contentsLength=12)
grid = QGridLayout()
self.legend = gui.widgetBox(gui.indentedBox(cb.box), orientation=grid)
grid.setColumnStretch(1, 1)
grid.setHorizontalSpacing(6)
self.legend_items = []
self.split_vars = DomainModel(
valid_types=Orange.data.DiscreteVariable,
separators=False,
placeholder="None",
)
self.split_combobox = gui.comboBox(self.controlArea,
self,
"split_var",
box="Split by",
model=self.split_vars,
callback=self.update_scene)
self.explode_checkbox = gui.checkBox(self.controlArea,
self,
"explode",
"Explode pies",
box=True,
callback=self.update_scene)
gui.rubber(self.controlArea)
gui.widgetLabel(
gui.hBox(self.controlArea, box=True),
"The aim of this widget is to\n"
"demonstrate that pie charts are\n"
"a terrible visualization. Please\n"
"don't use it for any other purpose.")
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(QPainter.Antialiasing
| QPainter.TextAntialiasing
| QPainter.SmoothPixmapTransform)
self.mainArea.layout().addWidget(self.view)
self.mainArea.setMinimumWidth(500)
def drawBackground(self, painter, rect):
QGraphicsView.drawBackground(self, painter, rect)
if not self.__backgroundIcon.isNull():
painter.setClipRect(rect)
vrect = QRect(QPoint(0, 0), self.viewport().size())
vrect = self.mapToScene(vrect).boundingRect()
pm = self.__backgroundIcon.pixmap(
vrect.size().toSize().boundedTo(QSize(200, 200))
)
pmrect = QRect(QPoint(0, 0), pm.size())
pmrect.moveCenter(vrect.center().toPoint())
if rect.toRect().intersects(pmrect):
painter.drawPixmap(pmrect, pm)
def __init__(self):
super().__init__()
self.data = None
self._effective_data = None
self._matrix = None
self._silhouette = None
self._labels = None
self._silplot = None
gui.comboBox(
self.controlArea, self, "distance_idx", box="Distance",
items=[name for name, _ in OWSilhouettePlot.Distances],
orientation=Qt.Horizontal, callback=self._invalidate_distances)
box = gui.vBox(self.controlArea, "Cluster Label")
self.cluster_var_cb = gui.comboBox(
box, self, "cluster_var_idx", addSpace=4,
callback=self._invalidate_scores)
gui.checkBox(
box, self, "group_by_cluster", "Group by cluster",
callback=self._replot)
self.cluster_var_model = itemmodels.VariableListModel(parent=self)
self.cluster_var_cb.setModel(self.cluster_var_model)
box = gui.vBox(self.controlArea, "Bars")
gui.widgetLabel(box, "Bar width:")
gui.hSlider(
box, self, "bar_size", minValue=1, maxValue=10, step=1,
callback=self._update_bar_size, addSpace=6)
gui.widgetLabel(box, "Annotations:")
self.annotation_cb = gui.comboBox(
box, self, "annotation_var_idx", callback=self._update_annotations)
self.annotation_var_model = itemmodels.VariableListModel(parent=self)
self.annotation_var_model[:] = ["None"]
self.annotation_cb.setModel(self.annotation_var_model)
ibox = gui.indentedBox(box, 5)
self.ann_hidden_warning = warning = gui.widgetLabel(
ibox, "(increase the width to show)")
ibox.setFixedWidth(ibox.sizeHint().width())
warning.setVisible(False)
gui.rubber(self.controlArea)
gui.separator(self.buttonsArea)
box = gui.vBox(self.buttonsArea, "Output")
# Thunk the call to commit to call conditional commit
gui.checkBox(box, self, "add_scores", "Add silhouette scores",
callback=lambda: self.commit())
gui.auto_commit(
box, self, "auto_commit", "Commit",
auto_label="Auto commit", box=False)
# Ensure that the controlArea is not narrower than buttonsArea
self.controlArea.layout().addWidget(self.buttonsArea)
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing, True)
self.view.setAlignment(Qt.AlignTop | Qt.AlignLeft)
self.mainArea.layout().addWidget(self.view)
def setUp(self):
QAppTestCase.setUp(self)
self.scene = CanvasScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.show()
self.view.resize(600, 400)
def __setupUi(self):
layout = QVBoxLayout()
# Scene with the link editor.
self.scene = LinksEditScene()
self.view = QGraphicsView(self.scene)
self.view.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setRenderHint(QPainter.Antialiasing)
self.scene.editWidget.geometryChanged.connect(self.__onGeometryChanged)
# Ok/Cancel/Clear All buttons.
buttons = QDialogButtonBox(QDialogButtonBox.Ok |
QDialogButtonBox.Cancel |
QDialogButtonBox.Reset,
Qt.Horizontal)
clear_button = buttons.button(QDialogButtonBox.Reset)
clear_button.setText(self.tr("Clear All"))
buttons.accepted.connect(self.accept)
buttons.rejected.connect(self.reject)
clear_button.clicked.connect(self.scene.editWidget.clearLinks)
layout.addWidget(self.view)
layout.addWidget(buttons)
self.setLayout(layout)
layout.setSizeConstraint(QVBoxLayout.SetFixedSize)
self.setSizeGripEnabled(False)
def setUp(self):
import logging
from AnyQt.QtWidgets import \
QApplication, QGraphicsScene, QGraphicsView
from AnyQt.QtGui import QPainter
from AnyQt.QtCore import QTimer
logging.basicConfig()
self.app = QApplication([])
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(
QPainter.Antialiasing | \
QPainter.SmoothPixmapTransform | \
QPainter.TextAntialiasing
)
self.view.resize(500, 300)
self.view.show()
QTimer.singleShot(10000, self.app.exit)
def my_excepthook(*args):
sys.setrecursionlimit(1010)
traceback.print_exc(limit=4)
self._orig_excepthook = sys.excepthook
sys.excepthook = my_excepthook
self.singleShot = QTimer.singleShot
def __init__(self, master, *args):
QGraphicsView.__init__(self, *args)
self.master = master
self.setHorizontalScrollBarPolicy(Qt.ScrollBarAsNeeded)
self.setVerticalScrollBarPolicy(Qt.ScrollBarAsNeeded)
self.setRenderHints(QPainter.Antialiasing)
scene = QGraphicsScene(self)
self.pixmapGraphicsItem = QGraphicsPixmapItem(None)
scene.addItem(self.pixmapGraphicsItem)
self.setScene(scene)
self.setMouseTracking(True)
self.viewport().setMouseTracking(True)
self.setFocusPolicy(Qt.WheelFocus)
def __init__(self, master, *args):
QGraphicsView.__init__(self, *args)
self.master = master
self.setHorizontalScrollBarPolicy(Qt.ScrollBarAsNeeded)
self.setVerticalScrollBarPolicy(Qt.ScrollBarAsNeeded)
self.setRenderHints(QPainter.Antialiasing)
scene = QGraphicsScene(self)
self.pixmapGraphicsItem = QGraphicsPixmapItem(None)
scene.addItem(self.pixmapGraphicsItem)
self.setScene(scene)
self.setMouseTracking(True)
self.viewport().setMouseTracking(True)
self.setFocusPolicy(Qt.WheelFocus)
class _GraphicsGuiTest(GuiTest):
scene: QGraphicsScene
view: QGraphicsView
def setUp(self) -> None:
super().setUp()
self.view = QGraphicsView()
self.scene = QGraphicsScene(self.view)
self.view.setScene(self.scene)
def tearDown(self) -> None:
self.scene.clear()
self.scene.deleteLater()
self.scene = None
self.view.deleteLater()
self.view = None
super().tearDown()
def setUp(self):
super().setUp()
self.scene = CanvasScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(QPainter.Antialiasing |
QPainter.TextAntialiasing)
self.view.show()
self.view.resize(400, 300)
def __init__(self, parent=None):
self.canvas = QGraphicsScene(0, 0, 1000, ColorButtonSize)
QGraphicsView.__init__(self, self.canvas, parent)
self.ensureVisible(0, 0, 1, 1)
self.color1 = None
self.color2 = None
self.rgbColors = []
self.passThroughColors = None
#self.setFrameStyle(QFrame.NoFrame)
self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.setFixedHeight(ColorButtonSize)
self.setMinimumWidth(ColorButtonSize)
if parent and parent.layout() is not None:
parent.layout().addWidget(self)
def __init__(self, parent=None):
self.canvas = QGraphicsScene(0, 0, 1000, ColorButtonSize)
QGraphicsView.__init__(self, self.canvas, parent)
self.ensureVisible(0, 0, 1, 1)
self.color1 = None
self.color2 = None
self.rgbColors = []
self.passThroughColors = None
#self.setFrameStyle(QFrame.NoFrame)
self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.setFixedHeight(ColorButtonSize)
self.setMinimumWidth(ColorButtonSize)
if parent and parent.layout() is not None:
parent.layout().addWidget(self)
def __init__(self):
super().__init__()
self.stats = []
self.dataset = None
self.posthoc_lines = []
self.label_txts = self.mean_labels = self.boxes = self.labels = \
self.label_txts_all = self.attr_labels = self.order = []
self.p = -1.0
self.scale_x = self.scene_min_x = self.scene_width = 0
self.label_width = 0
common_options = dict(
callback=self.attr_changed, sizeHint=(200, 100))
self.attrs = VariableListModel()
gui.listView(
self.controlArea, self, "attribute", box="Variable",
model=self.attrs, **common_options)
self.group_vars = VariableListModel()
gui.listView(
self.controlArea, self, "group_var", box="Grouping",
model=self.group_vars, **common_options)
# TODO: move Compare median/mean to grouping box
self.display_box = gui.vBox(self.controlArea, "Display")
gui.checkBox(self.display_box, self, "show_annotations", "Annotate",
callback=self.display_changed)
self.compare_rb = gui.radioButtonsInBox(
self.display_box, self, 'compare',
btnLabels=["No comparison", "Compare medians", "Compare means"],
callback=self.display_changed)
self.stretching_box = gui.checkBox(
self.controlArea, self, 'stretched', "Stretch bars", box='Display',
callback=self.display_changed).box
gui.vBox(self.mainArea, addSpace=True)
self.box_scene = QGraphicsScene()
self.box_view = QGraphicsView(self.box_scene)
self.box_view.setRenderHints(QPainter.Antialiasing |
QPainter.TextAntialiasing |
QPainter.SmoothPixmapTransform)
self.box_view.viewport().installEventFilter(self)
self.mainArea.layout().addWidget(self.box_view)
e = gui.hBox(self.mainArea, addSpace=False)
self.infot1 = gui.widgetLabel(e, "<center>No test results.</center>")
self.mainArea.setMinimumWidth(650)
self.stats = self.dist = self.conts = []
self.is_continuous = False
self.update_display_box()
def qgraphicsview_map_rect_from_scene(view: QGraphicsView,
rect: QRectF) -> QPolygonF:
"""Like QGraphicsView.mapFromScene(QRectF) but returning a QPolygonF
(without rounding).
"""
tr = view.viewportTransform()
p1 = tr.map(rect.topLeft())
p2 = tr.map(rect.topRight())
p3 = tr.map(rect.bottomRight())
p4 = tr.map(rect.bottomLeft())
return QPolygonF([p1, p2, p3, p4])
def setUp(self):
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(
QPainter.Antialiasing |
QPainter.SmoothPixmapTransform |
QPainter.TextAntialiasing
)
self.view.resize(500, 300)
self.view.show()
class TestGraphicsPixmapWidget(GuiTest):
def setUp(self) -> None:
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
def tearDown(self) -> None:
self.scene.clear()
self.scene.deleteLater()
self.view.deleteLater()
del self.scene
del self.view
def test_graphicspixmapwidget(self):
w = GraphicsPixmapWidget()
self.scene.addItem(w)
w.setPixmap(QPixmap(100, 100))
p = w.pixmap()
self.assertEqual(p.size(), QSize(100, 100))
self.view.grab()
w.setScaleContents(True)
w.setAspectRatioMode(Qt.KeepAspectRatio)
s = w.sizeHint(Qt.PreferredSize)
self.assertEqual(s, QSizeF(100., 100.))
s = w.sizeHint(Qt.PreferredSize, QSizeF(200., -1.))
self.assertEqual(s, QSizeF(200., 200.))
s = w.sizeHint(Qt.PreferredSize, QSizeF(-1., 200.))
self.assertEqual(s, QSizeF(200., 200.))
self.view.grab()
def test_editlinksnode(self):
from ...registry.tests import small_testing_registry
reg = small_testing_registry()
file_desc = reg.widget("Orange.widgets.data.owfile.OWFile")
bayes_desc = reg.widget("Orange.widgets.classify.ownaivebayes."
"OWNaiveBayes")
source_node = SchemeNode(file_desc, title="This is File")
sink_node = SchemeNode(bayes_desc)
scene = QGraphicsScene()
view = QGraphicsView(scene)
node = EditLinksNode(node=source_node)
scene.addItem(node)
node = EditLinksNode(direction=Qt.RightToLeft)
node.setSchemeNode(sink_node)
node.setPos(300, 0)
scene.addItem(node)
view.show()
view.resize(800, 300)
self.app.exec_()
def mouseReleaseEvent(self, event):
QGraphicsView.mouseReleaseEvent(self, event)
if event.button() != Qt.LeftButton:
return
_start_pos = self.plotItem.items[0].mapFromScene(
self._start_pos)
_end_pos = self.plotItem.items[0].mapFromScene(event.pos())
sx, sy = _start_pos.x(), _start_pos.y()
ex, ey = _end_pos.x(), _end_pos.y()
if sx > ex: sx, ex = ex, sx
if sy < ey: sy, ey = ey, sy
data = self.scatter.data
selected_indices = ((sx <= data['x']) & (data['x'] <= ex) &
(ey <= data['y']) &
(data['y'] <= sy)).nonzero()[0]
self._selection.extend(selected_indices)
data['pen'][selected_indices] = self.SELECTED_PEN
self.scatter.points()
for item in data['item'][selected_indices]:
item.updateItem()
print(data['data'][selected_indices])
def test_graphicstextwidget(self):
scene = QGraphicsScene()
view = QGraphicsView(scene)
text = GraphicsTextWidget()
text.setHtml("<center><b>a text</b></center><p>paragraph</p>")
scene.addItem(text)
view.show()
view.resize(400, 300)
self.app.exec_()
class TestItems(QAppTestCase):
def setUp(self):
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(QPainter.Antialiasing
| QPainter.SmoothPixmapTransform
| QPainter.TextAntialiasing)
self.view.resize(500, 300)
self.view.show()
def tearDown(self):
self.scene.clear()
self.scene.deleteLater()
self.view.deleteLater()
del self.scene
del self.view
super().tearDown()
def test_tool_tips(self):
scene = GraphicsScene()
view = QGraphicsView(scene)
w = TextListWidget()
text = "A" * 10
w.setItems([text, text])
scene.addItem(w)
view.grab() # ensure w is laid out
wrect = view.mapFromScene(w.mapToScene(
w.contentsRect())).boundingRect()
p = QPoint(wrect.topLeft() + QPoint(5, 5))
ev = QHelpEvent(QHelpEvent.ToolTip, p, view.viewport().mapToGlobal(p))
try:
QApplication.sendEvent(view.viewport(), ev)
self.assertEqual(QToolTip.text(), text)
finally:
QToolTip.hideText()
class TestItems(QAppTestCase):
def setUp(self):
super().setUp()
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(
QPainter.Antialiasing |
QPainter.SmoothPixmapTransform |
QPainter.TextAntialiasing
)
self.view.resize(500, 300)
self.view.show()
def tearDown(self):
self.scene.clear()
self.scene.deleteLater()
self.view.deleteLater()
del self.scene
del self.view
super().tearDown()
class TestItems(unittest.TestCase):
def setUp(self):
import logging
from AnyQt.QtWidgets import \
QApplication, QGraphicsScene, QGraphicsView
from AnyQt.QtGui import QPainter
from AnyQt.QtCore import QTimer
logging.basicConfig()
self.app = QApplication([])
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(
QPainter.Antialiasing | \
QPainter.SmoothPixmapTransform | \
QPainter.TextAntialiasing
)
self.view.resize(500, 300)
self.view.show()
QTimer.singleShot(10000, self.app.exit)
def my_excepthook(*args):
sys.setrecursionlimit(1010)
traceback.print_exc(limit=4)
self._orig_excepthook = sys.excepthook
sys.excepthook = my_excepthook
self.singleShot = QTimer.singleShot
def tearDown(self):
self.scene.clear()
self.scene.deleteLater()
self.view.deleteLater()
del self.scene
del self.view
self.app.processEvents()
del self.app
sys.excepthook = self._orig_excepthook
def __init__(self):
super().__init__()
self.dataset = None
self.attrs = DomainModel(
valid_types=Orange.data.DiscreteVariable, separators=False)
cb = gui.comboBox(
self.controlArea, self, "attribute", box=True,
model=self.attrs, callback=self.update_scene, contentsLength=12)
grid = QGridLayout()
self.legend = gui.widgetBox(gui.indentedBox(cb.box), orientation=grid)
grid.setColumnStretch(1, 1)
grid.setHorizontalSpacing(6)
self.legend_items = []
self.split_vars = DomainModel(
valid_types=Orange.data.DiscreteVariable, separators=False,
placeholder="None", )
gui.comboBox(
self.controlArea, self, "split_var", box="Split by",
model=self.split_vars, callback=self.update_scene)
gui.checkBox(
self.controlArea, self, "explode", "Explode pies", box=True,
callback=self.update_scene)
gui.rubber(self.controlArea)
gui.widgetLabel(
gui.hBox(self.controlArea, box=True),
"The aim of this widget is to\n"
"demonstrate that pie charts are\n"
"a terrible visualization. Please\n"
"don't use it for any other purpose.")
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHints(
QPainter.Antialiasing | QPainter.TextAntialiasing |
QPainter.SmoothPixmapTransform)
self.mainArea.layout().addWidget(self.view)
self.mainArea.setMinimumWidth(600)
def __updateView(self, view: QGraphicsView, rect: QRectF) -> None:
view.setSceneRect(rect)
viewrect = view.mapFromScene(rect).boundingRect()
view.setFixedHeight(int(math.ceil(viewrect.height())))
container = view.parent()
if rect.isEmpty():
container.setVisible(False)
return
# map the rect to (main) viewport coordinates
viewrect = qgraphicsview_map_rect_from_scene(self, rect).boundingRect()
viewrect = qrectf_to_inscribed_rect(viewrect)
viewportrect = self.viewport().rect()
visible = (viewrect.top() < viewportrect.top()
or viewrect.y() + viewrect.height() >
viewportrect.y() + viewportrect.height())
container.setVisible(visible)
# force immediate layout of the container overlay
QCoreApplication.sendEvent(container, QEvent(QEvent.LayoutRequest))
def test_editlinksnode(self):
reg = small_testing_registry()
one_desc = reg.widget("one")
negate_desc = reg.widget("negate")
source_node = SchemeNode(one_desc, title="This is 1")
sink_node = SchemeNode(negate_desc)
scene = QGraphicsScene()
view = QGraphicsView(scene)
node = EditLinksNode(node=source_node)
scene.addItem(node)
node = EditLinksNode(direction=Qt.RightToLeft)
node.setSchemeNode(sink_node)
node.setPos(300, 0)
scene.addItem(node)
view.show()
view.resize(800, 300)
self.app.exec_()
class OWSilhouettePlot(widget.OWWidget):
name = "Silhouette Plot"
description = "Visually assess cluster quality and " \
"the degree of cluster membership."
icon = "icons/SilhouettePlot.svg"
priority = 300
keywords = []
class Inputs:
data = Input("Data", Orange.data.Table)
class Outputs:
selected_data = Output("Selected Data", Orange.data.Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)
replaces = [
"orangecontrib.prototypes.widgets.owsilhouetteplot.OWSilhouettePlot",
"Orange.widgets.unsupervised.owsilhouetteplot.OWSilhouettePlot"
]
settingsHandler = settings.PerfectDomainContextHandler()
#: Distance metric index
distance_idx = settings.Setting(0)
#: Group/cluster variable index
cluster_var_idx = settings.ContextSetting(0)
#: Annotation variable index
annotation_var_idx = settings.ContextSetting(0)
#: Group the (displayed) silhouettes by cluster
group_by_cluster = settings.Setting(True)
#: A fixed size for an instance bar
bar_size = settings.Setting(3)
#: Add silhouette scores to output data
add_scores = settings.Setting(False)
auto_commit = settings.Setting(True)
Distances = [("Euclidean", Orange.distance.Euclidean),
("Manhattan", Orange.distance.Manhattan),
("Cosine", Orange.distance.Cosine)]
graph_name = "scene"
buttons_area_orientation = Qt.Vertical
class Error(widget.OWWidget.Error):
need_two_clusters = Msg("Need at least two non-empty clusters")
singleton_clusters_all = Msg("All clusters are singletons")
memory_error = Msg("Not enough memory")
value_error = Msg("Distances could not be computed: '{}'")
class Warning(widget.OWWidget.Warning):
missing_cluster_assignment = Msg(
"{} instance{s} omitted (missing cluster assignment)")
nan_distances = Msg("{} instance{s} omitted (undefined distances)")
ignoring_categorical = Msg("Ignoring categorical features")
def __init__(self):
super().__init__()
#: The input data
self.data = None # type: Optional[Orange.data.Table]
#: Distance matrix computed from data
self._matrix = None # type: Optional[Orange.misc.DistMatrix]
#: An bool mask (size == len(data)) indicating missing group/cluster
#: assignments
self._mask = None # type: Optional[np.ndarray]
#: An array of cluster/group labels for instances with valid group
#: assignment
self._labels = None # type: Optional[np.ndarray]
#: An array of silhouette scores for instances with valid group
#: assignment
self._silhouette = None # type: Optional[np.ndarray]
self._silplot = None # type: Optional[SilhouettePlot]
gui.comboBox(
self.controlArea, self, "distance_idx", box="Distance",
items=[name for name, _ in OWSilhouettePlot.Distances],
orientation=Qt.Horizontal, callback=self._invalidate_distances)
box = gui.vBox(self.controlArea, "Cluster Label")
self.cluster_var_cb = gui.comboBox(
box, self, "cluster_var_idx", contentsLength=14, addSpace=4,
callback=self._invalidate_scores
)
gui.checkBox(
box, self, "group_by_cluster", "Group by cluster",
callback=self._replot)
self.cluster_var_model = itemmodels.VariableListModel(parent=self)
self.cluster_var_cb.setModel(self.cluster_var_model)
box = gui.vBox(self.controlArea, "Bars")
gui.widgetLabel(box, "Bar width:")
gui.hSlider(
box, self, "bar_size", minValue=1, maxValue=10, step=1,
callback=self._update_bar_size, addSpace=6)
gui.widgetLabel(box, "Annotations:")
self.annotation_cb = gui.comboBox(
box, self, "annotation_var_idx", contentsLength=14,
callback=self._update_annotations)
self.annotation_var_model = itemmodels.VariableListModel(parent=self)
self.annotation_var_model[:] = ["None"]
self.annotation_cb.setModel(self.annotation_var_model)
ibox = gui.indentedBox(box, 5)
self.ann_hidden_warning = warning = gui.widgetLabel(
ibox, "(increase the width to show)")
ibox.setFixedWidth(ibox.sizeHint().width())
warning.setVisible(False)
gui.rubber(self.controlArea)
gui.separator(self.buttonsArea)
box = gui.vBox(self.buttonsArea, "Output")
# Thunk the call to commit to call conditional commit
gui.checkBox(box, self, "add_scores", "Add silhouette scores",
callback=lambda: self.commit())
gui.auto_commit(
box, self, "auto_commit", "Commit",
auto_label="Auto commit", box=False)
# Ensure that the controlArea is not narrower than buttonsArea
self.controlArea.layout().addWidget(self.buttonsArea)
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing, True)
self.view.setAlignment(Qt.AlignTop | Qt.AlignLeft)
self.mainArea.layout().addWidget(self.view)
def sizeHint(self):
sh = self.controlArea.sizeHint()
return sh.expandedTo(QSize(600, 720))
@Inputs.data
@check_sql_input
def set_data(self, data):
"""
Set the input dataset.
"""
self.closeContext()
self.clear()
error_msg = ""
warning_msg = ""
candidatevars = []
if data is not None:
candidatevars = [
v for v in data.domain.variables + data.domain.metas
if v.is_discrete and len(v.values) >= 2]
if not candidatevars:
error_msg = "Input does not have any suitable labels."
data = None
self.data = data
if data is not None:
self.cluster_var_model[:] = candidatevars
if data.domain.class_var in candidatevars:
self.cluster_var_idx = \
candidatevars.index(data.domain.class_var)
else:
self.cluster_var_idx = 0
annotvars = [var for var in data.domain.metas if var.is_string]
self.annotation_var_model[:] = ["None"] + annotvars
self.annotation_var_idx = 1 if len(annotvars) else 0
self.openContext(Orange.data.Domain(candidatevars))
self.error(error_msg)
self.warning(warning_msg)
def handleNewSignals(self):
if self.data is not None:
self._update()
self._replot()
self.unconditional_commit()
def clear(self):
"""
Clear the widget state.
"""
self.data = None
self._matrix = None
self._mask = None
self._silhouette = None
self._labels = None
self.cluster_var_model[:] = []
self.annotation_var_model[:] = ["None"]
self._clear_scene()
self.Error.clear()
self.Warning.clear()
def _clear_scene(self):
# Clear the graphics scene and associated objects
self.scene.clear()
self.scene.setSceneRect(QRectF())
self._silplot = None
def _invalidate_distances(self):
# Invalidate the computed distance matrix and recompute the silhouette.
self._matrix = None
self._invalidate_scores()
def _invalidate_scores(self):
# Invalidate and recompute the current silhouette scores.
self._labels = self._silhouette = self._mask = None
self._update()
self._replot()
if self.data is not None:
self.commit()
def _update(self):
# Update/recompute the distances/scores as required
self._clear_messages()
if self.data is None or not len(self.data):
self._reset_all()
return
if self._matrix is None and self.data is not None:
_, metric = self.Distances[self.distance_idx]
data = self.data
if not metric.supports_discrete and any(
a.is_discrete for a in data.domain.attributes):
self.Warning.ignoring_categorical()
data = Orange.distance.remove_discrete_features(data)
try:
self._matrix = np.asarray(metric(data))
except MemoryError:
self.Error.memory_error()
return
except ValueError as err:
self.Error.value_error(str(err))
return
self._update_labels()
def _reset_all(self):
self._mask = None
self._silhouette = None
self._labels = None
self._matrix = None
self._clear_scene()
def _clear_messages(self):
self.Error.clear()
self.Warning.clear()
def _update_labels(self):
labelvar = self.cluster_var_model[self.cluster_var_idx]
labels, _ = self.data.get_column_view(labelvar)
labels = np.asarray(labels, dtype=float)
cluster_mask = np.isnan(labels)
dist_mask = np.isnan(self._matrix).all(axis=0)
mask = cluster_mask | dist_mask
labels = labels.astype(int)
labels = labels[~mask]
labels_unq, _ = np.unique(labels, return_counts=True)
if len(labels_unq) < 2:
self.Error.need_two_clusters()
labels = silhouette = mask = None
elif len(labels_unq) == len(labels):
self.Error.singleton_clusters_all()
labels = silhouette = mask = None
else:
silhouette = sklearn.metrics.silhouette_samples(
self._matrix[~mask, :][:, ~mask], labels, metric="precomputed")
self._mask = mask
self._labels = labels
self._silhouette = silhouette
if mask is not None:
count_missing = np.count_nonzero(cluster_mask)
if count_missing:
self.Warning.missing_cluster_assignment(
count_missing, s="s" if count_missing > 1 else "")
count_nandist = np.count_nonzero(dist_mask)
if count_nandist:
self.Warning.nan_distances(
count_nandist, s="s" if count_nandist > 1 else "")
def _set_bar_height(self):
visible = self.bar_size >= 5
self._silplot.setBarHeight(self.bar_size)
self._silplot.setRowNamesVisible(visible)
self.ann_hidden_warning.setVisible(
not visible and self.annotation_var_idx > 0)
def _replot(self):
# Clear and replot/initialize the scene
self._clear_scene()
if self._silhouette is not None and self._labels is not None:
var = self.cluster_var_model[self.cluster_var_idx]
self._silplot = silplot = SilhouettePlot()
self._set_bar_height()
if self.group_by_cluster:
silplot.setScores(self._silhouette, self._labels, var.values,
var.colors)
else:
silplot.setScores(
self._silhouette,
np.zeros(len(self._silhouette), dtype=int),
[""], np.array([[63, 207, 207]])
)
self.scene.addItem(silplot)
self._update_annotations()
silplot.selectionChanged.connect(self.commit)
silplot.layout().activate()
self._update_scene_rect()
silplot.geometryChanged.connect(self._update_scene_rect)
def _update_bar_size(self):
if self._silplot is not None:
self._set_bar_height()
def _update_annotations(self):
if 0 < self.annotation_var_idx < len(self.annotation_var_model):
annot_var = self.annotation_var_model[self.annotation_var_idx]
else:
annot_var = None
self.ann_hidden_warning.setVisible(
self.bar_size < 5 and annot_var is not None)
if self._silplot is not None:
if annot_var is not None:
column, _ = self.data.get_column_view(annot_var)
if self._mask is not None:
assert column.shape == self._mask.shape
# pylint: disable=invalid-unary-operand-type
column = column[~self._mask]
self._silplot.setRowNames(
[annot_var.str_val(value) for value in column])
else:
self._silplot.setRowNames(None)
def _update_scene_rect(self):
self.scene.setSceneRect(self._silplot.geometry())
def commit(self):
"""
Commit/send the current selection to the output.
"""
selected = indices = data = None
if self.data is not None:
selectedmask = np.full(len(self.data), False, dtype=bool)
if self._silplot is not None:
indices = self._silplot.selection()
assert (np.diff(indices) > 0).all(), "strictly increasing"
if self._mask is not None:
# pylint: disable=invalid-unary-operand-type
indices = np.flatnonzero(~self._mask)[indices]
selectedmask[indices] = True
if self._mask is not None:
scores = np.full(shape=selectedmask.shape,
fill_value=np.nan)
# pylint: disable=invalid-unary-operand-type
scores[~self._mask] = self._silhouette
else:
scores = self._silhouette
silhouette_var = None
if self.add_scores:
var = self.cluster_var_model[self.cluster_var_idx]
silhouette_var = Orange.data.ContinuousVariable(
"Silhouette ({})".format(escape(var.name)))
domain = Orange.data.Domain(
self.data.domain.attributes,
self.data.domain.class_vars,
self.data.domain.metas + (silhouette_var, ))
data = self.data.transform(domain)
else:
domain = self.data.domain
data = self.data
if np.count_nonzero(selectedmask):
selected = self.data.from_table(
domain, self.data, np.flatnonzero(selectedmask))
if self.add_scores:
if selected is not None:
selected[:, silhouette_var] = np.c_[scores[selectedmask]]
data[:, silhouette_var] = np.c_[scores]
self.Outputs.selected_data.send(selected)
self.Outputs.annotated_data.send(create_annotated_table(data, indices))
def send_report(self):
if not len(self.cluster_var_model):
return
self.report_plot()
caption = "Silhouette plot ({} distance), clustered by '{}'".format(
self.Distances[self.distance_idx][0],
self.cluster_var_model[self.cluster_var_idx])
if self.annotation_var_idx and self._silplot.rowNamesVisible():
caption += ", annotated with '{}'".format(
self.annotation_var_model[self.annotation_var_idx])
self.report_caption(caption)
def onDeleteWidget(self):
self.clear()
super().onDeleteWidget()
def __init__(self):
super().__init__()
# Instance variables
self.forest_type = self.CLASSIFICATION
self.model = None
self.forest_adapter = None
self.dataset = None
self.clf_dataset = None
# We need to store refernces to the trees and grid items
self.grid_items, self.ptrees = [], []
self.color_palette = None
# Different methods to calculate the size of squares
self.SIZE_CALCULATION = [
('Normal', lambda x: x),
('Square root', lambda x: sqrt(x)),
('Logarithmic', lambda x: log(x * self.size_log_scale)),
]
self.REGRESSION_COLOR_CALC = [
('None', lambda _, __: QColor(255, 255, 255)),
('Class mean', self._color_class_mean),
('Standard deviation', self._color_stddev),
]
# CONTROL AREA
# Tree info area
box_info = gui.widgetBox(self.controlArea, 'Forest')
self.ui_info = gui.widgetLabel(box_info, label='')
# Display controls area
box_display = gui.widgetBox(self.controlArea, 'Display')
self.ui_depth_slider = gui.hSlider(
box_display, self, 'depth_limit', label='Depth', ticks=False,
callback=self.max_depth_changed)
self.ui_target_class_combo = gui.comboBox(
box_display, self, 'target_class_index', label='Target class',
orientation=Qt.Horizontal, items=[], contentsLength=8,
callback=self.target_colors_changed)
self.ui_size_calc_combo = gui.comboBox(
box_display, self, 'size_calc_idx', label='Size',
orientation=Qt.Horizontal,
items=list(zip(*self.SIZE_CALCULATION))[0], contentsLength=8,
callback=self.size_calc_changed)
self.ui_zoom_slider = gui.hSlider(
box_display, self, 'zoom', label='Zoom', ticks=False, minValue=20,
maxValue=150, callback=self.zoom_changed, createLabel=False)
# Stretch to fit the rest of the unsused area
gui.rubber(self.controlArea)
self.controlArea.setSizePolicy(
QSizePolicy.Preferred, QSizePolicy.Expanding)
# MAIN AREA
self.scene = QGraphicsScene(self)
self.scene.selectionChanged.connect(self.commit)
self.grid = OWGrid()
self.grid.geometryChanged.connect(self._update_scene_rect)
self.scene.addItem(self.grid)
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing, True)
self.view.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOn)
self.mainArea.layout().addWidget(self.view)
self.resize(800, 500)
self.clear()
class OWPythagoreanForest(OWWidget):
name = 'Pythagorean Forest'
description = 'Pythagorean forest for visualising random forests.'
icon = 'icons/PythagoreanForest.svg'
priority = 1001
inputs = [('Random forest', RandomForestModel, 'set_rf')]
outputs = [('Tree', TreeModel)]
# Enable the save as feature
graph_name = 'scene'
# Settings
depth_limit = settings.ContextSetting(10)
target_class_index = settings.ContextSetting(0)
size_calc_idx = settings.Setting(0)
size_log_scale = settings.Setting(2)
zoom = settings.Setting(50)
selected_tree_index = settings.ContextSetting(-1)
CLASSIFICATION, REGRESSION = range(2)
def __init__(self):
super().__init__()
# Instance variables
self.forest_type = self.CLASSIFICATION
self.model = None
self.forest_adapter = None
self.dataset = None
self.clf_dataset = None
# We need to store refernces to the trees and grid items
self.grid_items, self.ptrees = [], []
self.color_palette = None
# Different methods to calculate the size of squares
self.SIZE_CALCULATION = [
('Normal', lambda x: x),
('Square root', lambda x: sqrt(x)),
('Logarithmic', lambda x: log(x * self.size_log_scale)),
]
self.REGRESSION_COLOR_CALC = [
('None', lambda _, __: QColor(255, 255, 255)),
('Class mean', self._color_class_mean),
('Standard deviation', self._color_stddev),
]
# CONTROL AREA
# Tree info area
box_info = gui.widgetBox(self.controlArea, 'Forest')
self.ui_info = gui.widgetLabel(box_info, label='')
# Display controls area
box_display = gui.widgetBox(self.controlArea, 'Display')
self.ui_depth_slider = gui.hSlider(
box_display, self, 'depth_limit', label='Depth', ticks=False,
callback=self.max_depth_changed)
self.ui_target_class_combo = gui.comboBox(
box_display, self, 'target_class_index', label='Target class',
orientation=Qt.Horizontal, items=[], contentsLength=8,
callback=self.target_colors_changed)
self.ui_size_calc_combo = gui.comboBox(
box_display, self, 'size_calc_idx', label='Size',
orientation=Qt.Horizontal,
items=list(zip(*self.SIZE_CALCULATION))[0], contentsLength=8,
callback=self.size_calc_changed)
self.ui_zoom_slider = gui.hSlider(
box_display, self, 'zoom', label='Zoom', ticks=False, minValue=20,
maxValue=150, callback=self.zoom_changed, createLabel=False)
# Stretch to fit the rest of the unsused area
gui.rubber(self.controlArea)
self.controlArea.setSizePolicy(
QSizePolicy.Preferred, QSizePolicy.Expanding)
# MAIN AREA
self.scene = QGraphicsScene(self)
self.scene.selectionChanged.connect(self.commit)
self.grid = OWGrid()
self.grid.geometryChanged.connect(self._update_scene_rect)
self.scene.addItem(self.grid)
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing, True)
self.view.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOn)
self.mainArea.layout().addWidget(self.view)
self.resize(800, 500)
self.clear()
def set_rf(self, model=None):
"""When a different forest is given."""
self.clear()
self.model = model
if model is not None:
if isinstance(model, RandomForestClassifier):
self.forest_type = self.CLASSIFICATION
elif isinstance(model, RandomForestRegressor):
self.forest_type = self.REGRESSION
else:
raise RuntimeError('Invalid type of forest.')
self.forest_adapter = self._get_forest_adapter(self.model)
self.color_palette = self._type_specific('_get_color_palette')()
self._draw_trees()
self.dataset = model.instances
# this bit is important for the regression classifier
if self.dataset is not None and \
self.dataset.domain != model.domain:
self.clf_dataset = Table.from_table(
self.model.domain, self.dataset)
else:
self.clf_dataset = self.dataset
self._update_info_box()
self._type_specific('_update_target_class_combo')()
self._update_depth_slider()
self.selected_tree_index = -1
def clear(self):
"""Clear all relevant data from the widget."""
self.model = None
self.forest_adapter = None
self.ptrees = []
self.grid_items = []
self.grid.clear()
self._clear_info_box()
self._clear_target_class_combo()
self._clear_depth_slider()
# CONTROL AREA CALLBACKS
def max_depth_changed(self):
"""When the max depth slider is changed."""
for tree in self.ptrees:
tree.set_depth_limit(self.depth_limit)
def target_colors_changed(self):
"""When the target class or coloring method is changed."""
for tree in self.ptrees:
tree.target_class_has_changed()
def size_calc_changed(self):
"""When the size calculation of the trees is changed."""
if self.model is not None:
self.forest_adapter = self._get_forest_adapter(self.model)
self.grid.clear()
self._draw_trees()
# Keep the selected item
if self.selected_tree_index != -1:
self.grid_items[self.selected_tree_index].setSelected(True)
self.max_depth_changed()
def zoom_changed(self):
"""When we update the "Zoom" slider."""
for item in self.grid_items:
item.set_max_size(self._calculate_zoom(self.zoom))
width = (self.view.width() - self.view.verticalScrollBar().width())
self.grid.reflow(width)
self.grid.setPreferredWidth(width)
# MODEL CHANGED METHODS
def _update_info_box(self):
self.ui_info.setText(
'Trees: {}'.format(len(self.forest_adapter.get_trees()))
)
def _update_depth_slider(self):
self.depth_limit = self._get_max_depth()
self.ui_depth_slider.parent().setEnabled(True)
self.ui_depth_slider.setMaximum(self.depth_limit)
self.ui_depth_slider.setValue(self.depth_limit)
# MODEL CLEARED METHODS
def _clear_info_box(self):
self.ui_info.setText('No forest on input.')
def _clear_target_class_combo(self):
self.ui_target_class_combo.clear()
self.target_class_index = 0
self.ui_target_class_combo.setCurrentIndex(self.target_class_index)
def _clear_depth_slider(self):
self.ui_depth_slider.parent().setEnabled(False)
self.ui_depth_slider.setMaximum(0)
# HELPFUL METHODS
def _get_max_depth(self):
return max([tree.tree_adapter.max_depth for tree in self.ptrees])
def _get_forest_adapter(self, model):
return SklRandomForestAdapter(model)
def _draw_trees(self):
self.ui_size_calc_combo.setEnabled(False)
self.grid_items, self.ptrees = [], []
with self.progressBar(len(self.forest_adapter.get_trees())) as prg:
for tree in self.forest_adapter.get_trees():
ptree = PythagorasTreeViewer(
None, tree,
node_color_func=self._type_specific('_get_node_color'),
interactive=False, padding=100)
self.grid_items.append(GridItem(
ptree, self.grid, max_size=self._calculate_zoom(self.zoom)
))
self.ptrees.append(ptree)
prg.advance()
self.grid.set_items(self.grid_items)
# This is necessary when adding items for the first time
if self.grid:
width = (self.view.width() -
self.view.verticalScrollBar().width())
self.grid.reflow(width)
self.grid.setPreferredWidth(width)
self.ui_size_calc_combo.setEnabled(True)
@staticmethod
def _calculate_zoom(zoom_level):
"""Calculate the max size for grid items from zoom level setting."""
return zoom_level * 5
def onDeleteWidget(self):
"""When deleting the widget."""
super().onDeleteWidget()
self.clear()
def commit(self):
"""Commit the selected tree to output."""
if len(self.scene.selectedItems()) == 0:
self.send('Tree', None)
# The selected tree index should only reset when model changes
if self.model is None:
self.selected_tree_index = -1
return
selected_item = self.scene.selectedItems()[0]
self.selected_tree_index = self.grid_items.index(selected_item)
obj = self.model.trees[self.selected_tree_index]
obj.instances = self.dataset
obj.meta_target_class_index = self.target_class_index
obj.meta_size_calc_idx = self.size_calc_idx
obj.meta_size_log_scale = self.size_log_scale
obj.meta_depth_limit = self.depth_limit
self.send('Tree', obj)
def send_report(self):
"""Send report."""
self.report_plot()
def _update_scene_rect(self):
self.scene.setSceneRect(self.scene.itemsBoundingRect())
def resizeEvent(self, ev):
width = (self.view.width() - self.view.verticalScrollBar().width())
self.grid.reflow(width)
self.grid.setPreferredWidth(width)
super().resizeEvent(ev)
def _type_specific(self, method):
"""A best effort method getter that somewhat separates logic specific
to classification and regression trees.
This relies on conventional naming of specific methods, e.g.
a method name _get_tooltip would need to be defined like so:
_classification_get_tooltip and _regression_get_tooltip, since they are
both specific.
Parameters
----------
method : str
Method name that we would like to call.
Returns
-------
callable or None
"""
if self.forest_type == self.CLASSIFICATION:
return getattr(self, '_classification' + method)
elif self.forest_type == self.REGRESSION:
return getattr(self, '_regression' + method)
else:
return None
# CLASSIFICATION FOREST SPECIFIC METHODS
def _classification_update_target_class_combo(self):
self._clear_target_class_combo()
self.ui_target_class_combo.addItem('None')
values = [c.title() for c in
self.model.domain.class_vars[0].values]
self.ui_target_class_combo.addItems(values)
def _classification_get_color_palette(self):
return [QColor(*c) for c in self.model.domain.class_var.colors]
def _classification_get_node_color(self, adapter, tree_node):
# this is taken almost directly from the existing classification tree
# viewer
colors = self.color_palette
distribution = adapter.get_distribution(tree_node.label)[0]
total = np.sum(distribution)
if self.target_class_index:
p = distribution[self.target_class_index - 1] / total
color = colors[self.target_class_index - 1].lighter(200 - 100 * p)
else:
modus = np.argmax(distribution)
p = distribution[modus] / (total or 1)
color = colors[int(modus)].lighter(400 - 300 * p)
return color
# REGRESSION FOREST SPECIFIC METHODS
def _regression_update_target_class_combo(self):
self._clear_target_class_combo()
self.ui_target_class_combo.addItems(
list(zip(*self.REGRESSION_COLOR_CALC))[0])
self.ui_target_class_combo.setCurrentIndex(self.target_class_index)
def _regression_get_color_palette(self):
return ContinuousPaletteGenerator(
*self.forest_adapter.domain.class_var.colors)
def _regression_get_node_color(self, adapter, tree_node):
return self.REGRESSION_COLOR_CALC[self.target_class_index][1](
adapter, tree_node
)
def _color_class_mean(self, adapter, tree_node):
# calculate node colors relative to the mean of the node samples
min_mean = np.min(self.clf_dataset.Y)
max_mean = np.max(self.clf_dataset.Y)
instances = adapter.get_instances_in_nodes(self.clf_dataset,
tree_node.label)
mean = np.mean(instances.Y)
return self.color_palette[(mean - min_mean) / (max_mean - min_mean)]
def _color_stddev(self, adapter, tree_node):
# calculate node colors relative to the standard deviation in the node
# samples
min_mean, max_mean = 0, np.std(self.clf_dataset.Y)
instances = adapter.get_instances_in_nodes(self.clf_dataset,
tree_node.label)
std = np.std(instances.Y)
return self.color_palette[(std - min_mean) / (max_mean - min_mean)]
class OWBoxPlot(widget.OWWidget):
"""
Here's how the widget's functions call each other:
- `set_data` is a signal handler fills the list boxes and calls
`grouping_changed`.
- `grouping_changed` handles changes of grouping attribute: it enables or
disables the box for ordering, orders attributes and calls `attr_changed`.
- `attr_changed` handles changes of attribute. It recomputes box data by
calling `compute_box_data`, shows the appropriate display box
(discrete/continuous) and then calls`layout_changed`
- `layout_changed` constructs all the elements for the scene (as lists of
QGraphicsItemGroup) and calls `display_changed`. It is called when the
attribute or grouping is changed (by attr_changed) and on resize event.
- `display_changed` puts the elements corresponding to the current display
settings on the scene. It is called when the elements are reconstructed
(layout is changed due to selection of attributes or resize event), or
when the user changes display settings or colors.
For discrete attributes, the flow is a bit simpler: the elements are not
constructed in advance (by layout_changed). Instead, layout_changed and
display_changed call display_changed_disc that draws everything.
"""
name = "Box Plot"
description = "Visualize the distribution of feature values in a box plot."
icon = "icons/BoxPlot.svg"
priority = 100
keywords = ["whisker"]
class Inputs:
data = Input("Data", Orange.data.Table)
class Outputs:
selected_data = Output("Selected Data", Orange.data.Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)
#: Comparison types for continuous variables
CompareNone, CompareMedians, CompareMeans = 0, 1, 2
settingsHandler = DomainContextHandler()
conditions = ContextSetting([])
attribute = ContextSetting(None)
order_by_importance = Setting(False)
group_var = ContextSetting(None)
show_annotations = Setting(True)
compare = Setting(CompareMeans)
stattest = Setting(0)
sig_threshold = Setting(0.05)
stretched = Setting(True)
show_labels = Setting(True)
sort_freqs = Setting(False)
auto_commit = Setting(True)
_sorting_criteria_attrs = {
CompareNone: "", CompareMedians: "median", CompareMeans: "mean"
}
_pen_axis_tick = QPen(Qt.white, 5)
_pen_axis = QPen(Qt.darkGray, 3)
_pen_median = QPen(QBrush(QColor(0xff, 0xff, 0x00)), 2)
_pen_paramet = QPen(QBrush(QColor(0x33, 0x00, 0xff)), 2)
_pen_dotted = QPen(QBrush(QColor(0x33, 0x00, 0xff)), 1)
_pen_dotted.setStyle(Qt.DotLine)
_post_line_pen = QPen(Qt.lightGray, 2)
_post_grp_pen = QPen(Qt.lightGray, 4)
for pen in (_pen_paramet, _pen_median, _pen_dotted,
_pen_axis, _pen_axis_tick, _post_line_pen, _post_grp_pen):
pen.setCosmetic(True)
pen.setCapStyle(Qt.RoundCap)
pen.setJoinStyle(Qt.RoundJoin)
_pen_axis_tick.setCapStyle(Qt.FlatCap)
_box_brush = QBrush(QColor(0x33, 0x88, 0xff, 0xc0))
_axis_font = QFont()
_axis_font.setPixelSize(12)
_label_font = QFont()
_label_font.setPixelSize(11)
_attr_brush = QBrush(QColor(0x33, 0x00, 0xff))
graph_name = "box_scene"
def __init__(self):
super().__init__()
self.stats = []
self.dataset = None
self.posthoc_lines = []
self.label_txts = self.mean_labels = self.boxes = self.labels = \
self.label_txts_all = self.attr_labels = self.order = []
self.scale_x = self.scene_min_x = self.scene_width = 0
self.label_width = 0
self.attrs = VariableListModel()
view = gui.listView(
self.controlArea, self, "attribute", box="Variable",
model=self.attrs, callback=self.attr_changed)
view.setMinimumSize(QSize(30, 30))
# Any other policy than Ignored will let the QListBox's scrollbar
# set the minimal height (see the penultimate paragraph of
# http://doc.qt.io/qt-4.8/qabstractscrollarea.html#addScrollBarWidget)
view.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Ignored)
gui.separator(view.box, 6, 6)
self.cb_order = gui.checkBox(
view.box, self, "order_by_importance",
"Order by relevance",
tooltip="Order by 𝜒² or ANOVA over the subgroups",
callback=self.apply_sorting)
self.group_vars = DomainModel(
placeholder="None", separators=False,
valid_types=Orange.data.DiscreteVariable)
self.group_view = view = gui.listView(
self.controlArea, self, "group_var", box="Subgroups",
model=self.group_vars, callback=self.grouping_changed)
view.setEnabled(False)
view.setMinimumSize(QSize(30, 30))
# See the comment above
view.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Ignored)
# TODO: move Compare median/mean to grouping box
# The vertical size policy is needed to let only the list views expand
self.display_box = gui.vBox(
self.controlArea, "Display",
sizePolicy=(QSizePolicy.Minimum, QSizePolicy.Maximum),
addSpace=False)
gui.checkBox(self.display_box, self, "show_annotations", "Annotate",
callback=self.display_changed)
self.compare_rb = gui.radioButtonsInBox(
self.display_box, self, 'compare',
btnLabels=["No comparison", "Compare medians", "Compare means"],
callback=self.layout_changed)
# The vertical size policy is needed to let only the list views expand
self.stretching_box = box = gui.vBox(
self.controlArea, box="Display",
sizePolicy=(QSizePolicy.Minimum, QSizePolicy.Fixed))
self.stretching_box.sizeHint = self.display_box.sizeHint
gui.checkBox(
box, self, 'stretched', "Stretch bars",
callback=self.display_changed)
gui.checkBox(
box, self, 'show_labels', "Show box labels",
callback=self.display_changed)
self.sort_cb = gui.checkBox(
box, self, 'sort_freqs', "Sort by subgroup frequencies",
callback=self.display_changed)
gui.rubber(box)
gui.auto_commit(self.controlArea, self, "auto_commit",
"Send Selection", "Send Automatically")
gui.vBox(self.mainArea, addSpace=True)
self.box_scene = QGraphicsScene()
self.box_scene.selectionChanged.connect(self.commit)
self.box_view = QGraphicsView(self.box_scene)
self.box_view.setRenderHints(QPainter.Antialiasing |
QPainter.TextAntialiasing |
QPainter.SmoothPixmapTransform)
self.box_view.viewport().installEventFilter(self)
self.mainArea.layout().addWidget(self.box_view)
e = gui.hBox(self.mainArea, addSpace=False)
self.infot1 = gui.widgetLabel(e, "<center>No test results.</center>")
self.mainArea.setMinimumWidth(300)
self.stats = self.dist = self.conts = []
self.is_continuous = False
self.update_display_box()
def sizeHint(self):
return QSize(900, 500)
def eventFilter(self, obj, event):
if obj is self.box_view.viewport() and \
event.type() == QEvent.Resize:
self.layout_changed()
return super().eventFilter(obj, event)
def reset_attrs(self, domain):
self.attrs[:] = [
var for var in chain(
domain.class_vars, domain.metas, domain.attributes)
if var.is_primitive()]
# noinspection PyTypeChecker
@Inputs.data
def set_data(self, dataset):
if dataset is not None and (
not bool(dataset) or not len(dataset.domain) and not
any(var.is_primitive() for var in dataset.domain.metas)):
dataset = None
self.closeContext()
self.dataset = dataset
self.dist = self.stats = self.conts = []
self.group_var = None
self.attribute = None
if dataset:
domain = dataset.domain
self.group_vars.set_domain(domain)
self.group_view.setEnabled(len(self.group_vars) > 1)
self.reset_attrs(domain)
self.select_default_variables(domain)
self.openContext(self.dataset)
self.grouping_changed()
else:
self.reset_all_data()
self.commit()
def select_default_variables(self, domain):
# visualize first non-class variable, group by class (if present)
if len(self.attrs) > len(domain.class_vars):
self.attribute = self.attrs[len(domain.class_vars)]
elif self.attrs:
self.attribute = self.attrs[0]
if domain.class_var and domain.class_var.is_discrete:
self.group_var = domain.class_var
else:
self.group_var = None # Reset to trigger selection via callback
def apply_sorting(self):
def compute_score(attr):
if attr is group_var:
return 3
if attr.is_continuous:
# One-way ANOVA
col = data.get_column_view(attr)[0].astype(float)
groups = (col[group_col == i] for i in range(n_groups))
groups = (col[~np.isnan(col)] for col in groups)
groups = [group for group in groups if len(group)]
p = f_oneway(*groups)[1] if len(groups) > 1 else 2
else:
# Chi-square with the given distribution into groups
# (see degrees of freedom in computation of the p-value)
if not attr.values or not group_var.values:
return 2
observed = np.array(
contingency.get_contingency(data, group_var, attr))
observed = observed[observed.sum(axis=1) != 0, :]
observed = observed[:, observed.sum(axis=0) != 0]
if min(observed.shape) < 2:
return 2
expected = \
np.outer(observed.sum(axis=1), observed.sum(axis=0)) / \
np.sum(observed)
p = chisquare(observed.ravel(), f_exp=expected.ravel(),
ddof=n_groups - 1)[1]
if math.isnan(p):
return 2
return p
data = self.dataset
if data is None:
return
domain = data.domain
attribute = self.attribute
group_var = self.group_var
if self.order_by_importance and group_var is not None:
n_groups = len(group_var.values)
group_col = data.get_column_view(group_var)[0] if \
domain.has_continuous_attributes(
include_class=True, include_metas=True) else None
self.attrs.sort(key=compute_score)
else:
self.reset_attrs(domain)
self.attribute = attribute
def reset_all_data(self):
self.clear_scene()
self.infot1.setText("")
self.attrs.clear()
self.group_vars.set_domain(None)
self.group_view.setEnabled(False)
self.is_continuous = False
self.update_display_box()
def grouping_changed(self):
self.cb_order.setEnabled(self.group_var is not None)
self.apply_sorting()
self.attr_changed()
def select_box_items(self):
temp_cond = self.conditions.copy()
for box in self.box_scene.items():
if isinstance(box, FilterGraphicsRectItem):
box.setSelected(box.filter.conditions in
[c.conditions for c in temp_cond])
def attr_changed(self):
self.compute_box_data()
self.update_display_box()
self.layout_changed()
if self.is_continuous:
heights = 90 if self.show_annotations else 60
self.box_view.centerOn(self.scene_min_x + self.scene_width / 2,
-30 - len(self.stats) * heights / 2 + 45)
else:
self.box_view.centerOn(self.scene_width / 2,
-30 - len(self.boxes) * 40 / 2 + 45)
def compute_box_data(self):
attr = self.attribute
if not attr:
return
dataset = self.dataset
self.is_continuous = attr.is_continuous
if dataset is None or not self.is_continuous and not attr.values or \
self.group_var and not self.group_var.values:
self.stats = self.dist = self.conts = []
return
if self.group_var:
self.dist = []
self.conts = contingency.get_contingency(
dataset, attr, self.group_var)
if self.is_continuous:
stats, label_texts = [], []
for i, cont in enumerate(self.conts):
if np.sum(cont[1]):
stats.append(BoxData(cont, attr, i, self.group_var))
label_texts.append(self.group_var.values[i])
self.stats = stats
self.label_txts_all = label_texts
else:
self.label_txts_all = \
[v for v, c in zip(self.group_var.values, self.conts)
if np.sum(c) > 0]
else:
self.dist = distribution.get_distribution(dataset, attr)
self.conts = []
if self.is_continuous:
self.stats = [BoxData(self.dist, attr, None)]
self.label_txts_all = [""]
self.label_txts = [txts for stat, txts in zip(self.stats,
self.label_txts_all)
if stat.n > 0]
self.stats = [stat for stat in self.stats if stat.n > 0]
def update_display_box(self):
if self.is_continuous:
self.stretching_box.hide()
self.display_box.show()
self.compare_rb.setEnabled(self.group_var is not None)
else:
self.stretching_box.show()
self.display_box.hide()
self.sort_cb.setEnabled(self.group_var is not None)
def clear_scene(self):
self.closeContext()
self.box_scene.clearSelection()
self.box_scene.clear()
self.box_view.viewport().update()
self.attr_labels = []
self.labels = []
self.boxes = []
self.mean_labels = []
self.posthoc_lines = []
self.openContext(self.dataset)
def layout_changed(self):
attr = self.attribute
if not attr:
return
self.clear_scene()
if self.dataset is None or len(self.conts) == len(self.dist) == 0:
return
if not self.is_continuous:
self.display_changed_disc()
return
self.mean_labels = [self.mean_label(stat, attr, lab)
for stat, lab in zip(self.stats, self.label_txts)]
self.draw_axis()
self.boxes = [self.box_group(stat) for stat in self.stats]
self.labels = [self.label_group(stat, attr, mean_lab)
for stat, mean_lab in zip(self.stats, self.mean_labels)]
self.attr_labels = [QGraphicsSimpleTextItem(lab)
for lab in self.label_txts]
for it in chain(self.labels, self.attr_labels):
self.box_scene.addItem(it)
self.display_changed()
def display_changed(self):
if self.dataset is None:
return
if not self.is_continuous:
self.display_changed_disc()
return
self.order = list(range(len(self.stats)))
criterion = self._sorting_criteria_attrs[self.compare]
if criterion:
vals = [getattr(stat, criterion) for stat in self.stats]
overmax = max((val for val in vals if val is not None), default=0) \
+ 1
vals = [val if val is not None else overmax for val in vals]
self.order = sorted(self.order, key=vals.__getitem__)
heights = 90 if self.show_annotations else 60
for row, box_index in enumerate(self.order):
y = (-len(self.stats) + row) * heights + 10
for item in self.boxes[box_index]:
self.box_scene.addItem(item)
item.setY(y)
labels = self.labels[box_index]
if self.show_annotations:
labels.show()
labels.setY(y)
else:
labels.hide()
label = self.attr_labels[box_index]
label.setY(y - 15 - label.boundingRect().height())
if self.show_annotations:
label.hide()
else:
stat = self.stats[box_index]
if self.compare == OWBoxPlot.CompareMedians and \
stat.median is not None:
pos = stat.median + 5 / self.scale_x
elif self.compare == OWBoxPlot.CompareMeans or stat.q25 is None:
pos = stat.mean + 5 / self.scale_x
else:
pos = stat.q25
label.setX(pos * self.scale_x)
label.show()
r = QRectF(self.scene_min_x, -30 - len(self.stats) * heights,
self.scene_width, len(self.stats) * heights + 90)
self.box_scene.setSceneRect(r)
self.compute_tests()
self.show_posthoc()
self.select_box_items()
def display_changed_disc(self):
assert not self.is_continuous
self.clear_scene()
self.attr_labels = [QGraphicsSimpleTextItem(lab)
for lab in self.label_txts_all]
if not self.stretched:
if self.group_var:
self.labels = [
QGraphicsTextItem("{}".format(int(sum(cont))))
for cont in self.conts if np.sum(cont) > 0]
else:
self.labels = [
QGraphicsTextItem(str(int(sum(self.dist))))]
self.order = list(range(len(self.attr_labels)))
self.draw_axis_disc()
if self.group_var:
self.boxes = \
[self.strudel(cont, i) for i, cont in enumerate(self.conts)
if np.sum(cont) > 0]
self.conts = self.conts[np.sum(np.array(self.conts), axis=1) > 0]
if self.sort_freqs:
# pylint: disable=invalid-unary-operand-type
self.order = sorted(self.order, key=(-np.sum(self.conts, axis=1)).__getitem__)
else:
self.boxes = [self.strudel(self.dist)]
for row, box_index in enumerate(self.order):
y = (-len(self.boxes) + row) * 40 + 10
box = self.boxes[box_index]
bars, labels = box[::2], box[1::2]
self.__draw_group_labels(y, box_index)
if not self.stretched:
self.__draw_row_counts(y, box_index)
if self.show_labels and self.attribute is not self.group_var:
self.__draw_bar_labels(y, bars, labels)
self.__draw_bars(y, bars)
self.box_scene.setSceneRect(-self.label_width - 5,
-30 - len(self.boxes) * 40,
self.scene_width, len(self.boxes * 40) + 90)
self.infot1.setText("")
self.select_box_items()
def __draw_group_labels(self, y, row):
"""Draw group labels
Parameters
----------
y: int
vertical offset of bars
row: int
row index
"""
label = self.attr_labels[row]
b = label.boundingRect()
label.setPos(-b.width() - 10, y - b.height() / 2)
self.box_scene.addItem(label)
def __draw_row_counts(self, y, row):
"""Draw row counts
Parameters
----------
y: int
vertical offset of bars
row: int
row index
"""
assert not self.is_continuous
label = self.labels[row]
b = label.boundingRect()
if self.group_var:
right = self.scale_x * sum(self.conts[row])
else:
right = self.scale_x * sum(self.dist)
label.setPos(right + 10, y - b.height() / 2)
self.box_scene.addItem(label)
def __draw_bar_labels(self, y, bars, labels):
"""Draw bar labels
Parameters
----------
y: int
vertical offset of bars
bars: List[FilterGraphicsRectItem]
list of bars being drawn
labels: List[QGraphicsTextItem]
list of labels for corresponding bars
"""
label = bar_part = None
for text_item, bar_part in zip(labels, bars):
label = self.Label(
text_item.toPlainText())
label.setPos(bar_part.boundingRect().x(),
y - label.boundingRect().height() - 8)
label.setMaxWidth(bar_part.boundingRect().width())
self.box_scene.addItem(label)
def __draw_bars(self, y, bars):
"""Draw bars
Parameters
----------
y: int
vertical offset of bars
bars: List[FilterGraphicsRectItem]
list of bars to draw
"""
for item in bars:
item.setPos(0, y)
self.box_scene.addItem(item)
# noinspection PyPep8Naming
def compute_tests(self):
# The t-test and ANOVA are implemented here since they efficiently use
# the widget-specific data in self.stats.
# The non-parametric tests can't do this, so we use statistics.tests
# pylint: disable=comparison-with-itself
def stat_ttest():
d1, d2 = self.stats
if d1.n < 2 or d2.n < 2:
return np.nan, np.nan
pooled_var = d1.var / d1.n + d2.var / d2.n
# pylint: disable=comparison-with-itself
if pooled_var == 0 or np.isnan(pooled_var):
return np.nan, np.nan
df = pooled_var ** 2 / \
((d1.var / d1.n) ** 2 / (d1.n - 1) +
(d2.var / d2.n) ** 2 / (d2.n - 1))
t = abs(d1.mean - d2.mean) / math.sqrt(pooled_var)
p = 2 * (1 - scipy.special.stdtr(df, t))
return t, p
# TODO: Check this function
# noinspection PyPep8Naming
def stat_ANOVA():
if any(stat.n == 0 for stat in self.stats):
return np.nan, np.nan
n = sum(stat.n for stat in self.stats)
grand_avg = sum(stat.n * stat.mean for stat in self.stats) / n
var_between = sum(stat.n * (stat.mean - grand_avg) ** 2
for stat in self.stats)
df_between = len(self.stats) - 1
var_within = sum(stat.n * stat.var for stat in self.stats)
df_within = n - len(self.stats)
if var_within == 0 or df_within == 0 or df_between == 0:
return np.nan, np.nan
F = (var_between / df_between) / (var_within / df_within)
p = 1 - scipy.special.fdtr(df_between, df_within, F)
return F, p
if self.compare == OWBoxPlot.CompareNone or len(self.stats) < 2:
t = ""
elif any(s.n <= 1 for s in self.stats):
t = "At least one group has just one instance, " \
"cannot compute significance"
elif len(self.stats) == 2:
if self.compare == OWBoxPlot.CompareMedians:
t = ""
# z, p = tests.wilcoxon_rank_sum(
# self.stats[0].dist, self.stats[1].dist)
# t = "Mann-Whitney's z: %.1f (p=%.3f)" % (z, p)
else:
t, p = stat_ttest()
t = "" if np.isnan(t) else f"Student's t: {t:.3f} (p={p:.3f})"
else:
if self.compare == OWBoxPlot.CompareMedians:
t = ""
# U, p = -1, -1
# t = "Kruskal Wallis's U: %.1f (p=%.3f)" % (U, p)
else:
F, p = stat_ANOVA()
t = "" if np.isnan(F) else f"ANOVA: {F:.3f} (p={p:.3f})"
self.infot1.setText("<center>%s</center>" % t)
def mean_label(self, stat, attr, val_name):
label = QGraphicsItemGroup()
t = QGraphicsSimpleTextItem(
"%.*f" % (attr.number_of_decimals + 1, stat.mean), label)
t.setFont(self._label_font)
bbox = t.boundingRect()
w2, h = bbox.width() / 2, bbox.height()
t.setPos(-w2, -h)
tpm = QGraphicsSimpleTextItem(
" \u00b1 " + "%.*f" % (attr.number_of_decimals + 1, stat.dev),
label)
tpm.setFont(self._label_font)
tpm.setPos(w2, -h)
if val_name:
vnm = QGraphicsSimpleTextItem(val_name + ": ", label)
vnm.setFont(self._label_font)
vnm.setBrush(self._attr_brush)
vb = vnm.boundingRect()
label.min_x = -w2 - vb.width()
vnm.setPos(label.min_x, -h)
else:
label.min_x = -w2
return label
def draw_axis(self):
"""Draw the horizontal axis and sets self.scale_x"""
misssing_stats = not self.stats
stats = self.stats or [BoxData(np.array([[0.], [1.]]), self.attribute)]
mean_labels = self.mean_labels or [self.mean_label(stats[0], self.attribute, "")]
bottom = min(stat.a_min for stat in stats)
top = max(stat.a_max for stat in stats)
first_val, step = compute_scale(bottom, top)
while bottom <= first_val:
first_val -= step
bottom = first_val
no_ticks = math.ceil((top - first_val) / step) + 1
top = max(top, first_val + no_ticks * step)
gbottom = min(bottom, min(stat.mean - stat.dev for stat in stats))
gtop = max(top, max(stat.mean + stat.dev for stat in stats))
bv = self.box_view
viewrect = bv.viewport().rect().adjusted(15, 15, -15, -30)
self.scale_x = scale_x = viewrect.width() / (gtop - gbottom)
# In principle we should repeat this until convergence since the new
# scaling is too conservative. (No chance am I doing this.)
mlb = min(stat.mean + mean_lab.min_x / scale_x
for stat, mean_lab in zip(stats, mean_labels))
if mlb < gbottom:
gbottom = mlb
self.scale_x = scale_x = viewrect.width() / (gtop - gbottom)
self.scene_min_x = gbottom * scale_x
self.scene_width = (gtop - gbottom) * scale_x
val = first_val
decimals = max(3, 4 - int(math.log10(step)))
while True:
l = self.box_scene.addLine(val * scale_x, -1, val * scale_x, 1,
self._pen_axis_tick)
l.setZValue(100)
t = self.box_scene.addSimpleText(
repr(round(val, decimals)) if not misssing_stats else "?",
self._axis_font)
t.setFlags(
t.flags() | QGraphicsItem.ItemIgnoresTransformations)
r = t.boundingRect()
t.setPos(val * scale_x - r.width() / 2, 8)
if val >= top:
break
val += step
self.box_scene.addLine(
bottom * scale_x - 4, 0, top * scale_x + 4, 0, self._pen_axis)
def draw_axis_disc(self):
"""
Draw the horizontal axis and sets self.scale_x for discrete attributes
"""
assert not self.is_continuous
if self.stretched:
if not self.attr_labels:
return
step = steps = 10
else:
if self.group_var:
max_box = max(float(np.sum(dist)) for dist in self.conts)
else:
max_box = float(np.sum(self.dist))
if max_box == 0:
self.scale_x = 1
return
_, step = compute_scale(0, max_box)
step = int(step) if step > 1 else 1
steps = int(math.ceil(max_box / step))
max_box = step * steps
bv = self.box_view
viewrect = bv.viewport().rect().adjusted(15, 15, -15, -30)
self.scene_width = viewrect.width()
lab_width = max(lab.boundingRect().width() for lab in self.attr_labels)
lab_width = max(lab_width, 40)
lab_width = min(lab_width, self.scene_width / 3)
self.label_width = lab_width
right_offset = 0 # offset for the right label
if not self.stretched and self.labels:
if self.group_var:
rows = list(zip(self.conts, self.labels))
else:
rows = [(self.dist, self.labels[0])]
# available space left of the 'group labels'
available = self.scene_width - lab_width - 10
scale_x = (available - right_offset) / max_box
max_right = max(sum(dist) * scale_x + 10 +
lbl.boundingRect().width()
for dist, lbl in rows)
right_offset = max(0, max_right - max_box * scale_x)
self.scale_x = scale_x = \
(self.scene_width - lab_width - 10 - right_offset) / max_box
self.box_scene.addLine(0, 0, max_box * scale_x, 0, self._pen_axis)
for val in range(0, step * steps + 1, step):
l = self.box_scene.addLine(val * scale_x, -1, val * scale_x, 1,
self._pen_axis_tick)
l.setZValue(100)
t = self.box_scene.addSimpleText(str(val), self._axis_font)
t.setPos(val * scale_x - t.boundingRect().width() / 2, 8)
if self.stretched:
self.scale_x *= 100
def label_group(self, stat, attr, mean_lab):
def centered_text(val, pos):
t = QGraphicsSimpleTextItem(
"%.*f" % (attr.number_of_decimals + 1, val), labels)
t.setFont(self._label_font)
bbox = t.boundingRect()
t.setPos(pos - bbox.width() / 2, 22)
return t
def line(x, down=1):
QGraphicsLineItem(x, 12 * down, x, 20 * down, labels)
def move_label(label, frm, to):
label.setX(to)
to += t_box.width() / 2
path = QPainterPath()
path.lineTo(0, 4)
path.lineTo(to - frm, 4)
path.lineTo(to - frm, 8)
p = QGraphicsPathItem(path)
p.setPos(frm, 12)
labels.addToGroup(p)
labels = QGraphicsItemGroup()
labels.addToGroup(mean_lab)
m = stat.mean * self.scale_x
mean_lab.setPos(m, -22)
line(m, -1)
if stat.median is not None:
msc = stat.median * self.scale_x
med_t = centered_text(stat.median, msc)
med_box_width2 = med_t.boundingRect().width() / 2
line(msc)
if stat.q25 is not None:
x = stat.q25 * self.scale_x
t = centered_text(stat.q25, x)
t_box = t.boundingRect()
med_left = msc - med_box_width2
if x + t_box.width() / 2 >= med_left - 5:
move_label(t, x, med_left - t_box.width() - 5)
else:
line(x)
if stat.q75 is not None:
x = stat.q75 * self.scale_x
t = centered_text(stat.q75, x)
t_box = t.boundingRect()
med_right = msc + med_box_width2
if x - t_box.width() / 2 <= med_right + 5:
move_label(t, x, med_right + 5)
else:
line(x)
return labels
def box_group(self, stat, height=20):
def line(x0, y0, x1, y1, *args):
return QGraphicsLineItem(x0 * scale_x, y0, x1 * scale_x, y1, *args)
scale_x = self.scale_x
box = []
whisker1 = line(stat.a_min, -1.5, stat.a_min, 1.5)
whisker2 = line(stat.a_max, -1.5, stat.a_max, 1.5)
vert_line = line(stat.a_min, 0, stat.a_max, 0)
mean_line = line(stat.mean, -height / 3, stat.mean, height / 3)
for it in (whisker1, whisker2, mean_line):
it.setPen(self._pen_paramet)
vert_line.setPen(self._pen_dotted)
var_line = line(stat.mean - stat.dev, 0, stat.mean + stat.dev, 0)
var_line.setPen(self._pen_paramet)
box.extend([whisker1, whisker2, vert_line, mean_line, var_line])
if stat.q25 is not None and stat.q75 is not None:
mbox = FilterGraphicsRectItem(
stat.conditions, stat.q25 * scale_x, -height / 2,
(stat.q75 - stat.q25) * scale_x, height)
mbox.setBrush(self._box_brush)
mbox.setPen(QPen(Qt.NoPen))
mbox.setZValue(-200)
box.append(mbox)
if stat.median is not None:
median_line = line(stat.median, -height / 2,
stat.median, height / 2)
median_line.setPen(self._pen_median)
median_line.setZValue(-150)
box.append(median_line)
return box
def strudel(self, dist, group_val_index=None):
attr = self.attribute
ss = np.sum(dist)
box = []
if ss < 1e-6:
cond = [FilterDiscrete(attr, None)]
if group_val_index is not None:
cond.append(FilterDiscrete(self.group_var, [group_val_index]))
box.append(FilterGraphicsRectItem(cond, 0, -10, 1, 10))
cum = 0
for i, v in enumerate(dist):
if v < 1e-6:
continue
if self.stretched:
v /= ss
v *= self.scale_x
cond = [FilterDiscrete(attr, [i])]
if group_val_index is not None:
cond.append(FilterDiscrete(self.group_var, [group_val_index]))
rect = FilterGraphicsRectItem(cond, cum + 1, -6, v - 2, 12)
rect.setBrush(QBrush(QColor(*attr.colors[i])))
rect.setPen(QPen(Qt.NoPen))
if self.stretched:
tooltip = "{}: {:.2f}%".format(attr.values[i],
100 * dist[i] / sum(dist))
else:
tooltip = "{}: {}".format(attr.values[i], int(dist[i]))
rect.setToolTip(tooltip)
text = QGraphicsTextItem(attr.values[i])
box.append(rect)
box.append(text)
cum += v
return box
def commit(self):
self.conditions = [item.filter for item in
self.box_scene.selectedItems() if item.filter]
selected, selection = None, []
if self.conditions:
selected = Values(self.conditions, conjunction=False)(self.dataset)
selection = np.in1d(
self.dataset.ids, selected.ids, assume_unique=True).nonzero()[0]
self.Outputs.selected_data.send(selected)
self.Outputs.annotated_data.send(
create_annotated_table(self.dataset, selection))
def show_posthoc(self):
def line(y0, y1):
it = self.box_scene.addLine(x, y0, x, y1, self._post_line_pen)
it.setZValue(-100)
self.posthoc_lines.append(it)
while self.posthoc_lines:
self.box_scene.removeItem(self.posthoc_lines.pop())
if self.compare == OWBoxPlot.CompareNone or len(self.stats) < 2:
return
if self.compare == OWBoxPlot.CompareMedians:
crit_line = "median"
else:
crit_line = "mean"
xs = []
height = 90 if self.show_annotations else 60
y_up = -len(self.stats) * height + 10
for pos, box_index in enumerate(self.order):
stat = self.stats[box_index]
x = getattr(stat, crit_line)
if x is None:
continue
x *= self.scale_x
xs.append(x * self.scale_x)
by = y_up + pos * height
line(by + 12, 3)
line(by - 12, by - 25)
used_to = []
last_to = to = 0
for frm, frm_x in enumerate(xs[:-1]):
for to in range(frm + 1, len(xs)):
if xs[to] - frm_x > 1.5:
to -= 1
break
if to in (last_to, frm):
continue
for rowi, used in enumerate(used_to):
if used < frm:
used_to[rowi] = to
break
else:
rowi = len(used_to)
used_to.append(to)
y = - 6 - rowi * 6
it = self.box_scene.addLine(frm_x - 2, y, xs[to] + 2, y,
self._post_grp_pen)
self.posthoc_lines.append(it)
last_to = to
def get_widget_name_extension(self):
return self.attribute.name if self.attribute else None
def send_report(self):
self.report_plot()
text = ""
if self.attribute:
text += "Box plot for attribute '{}' ".format(self.attribute.name)
if self.group_var:
text += "grouped by '{}'".format(self.group_var.name)
if text:
self.report_caption(text)
class Label(QGraphicsSimpleTextItem):
"""Boxplot Label with settable maxWidth"""
# Minimum width to display label text
MIN_LABEL_WIDTH = 25
# padding bellow the text
PADDING = 3
__max_width = None
def maxWidth(self):
return self.__max_width
def setMaxWidth(self, max_width):
self.__max_width = max_width
def paint(self, painter, option, widget):
"""Overrides QGraphicsSimpleTextItem.paint
If label text is too long, it is elided
to fit into the allowed region
"""
if self.__max_width is None:
width = option.rect.width()
else:
width = self.__max_width
if width < self.MIN_LABEL_WIDTH:
# if space is too narrow, no label
return
fm = painter.fontMetrics()
text = fm.elidedText(self.text(), Qt.ElideRight, width)
painter.drawText(
option.rect.x(),
option.rect.y() + self.boundingRect().height() - self.PADDING,
text)
def __init__(self):
super().__init__()
self.stats = []
self.dataset = None
self.posthoc_lines = []
self.label_txts = self.mean_labels = self.boxes = self.labels = \
self.label_txts_all = self.attr_labels = self.order = []
self.scale_x = self.scene_min_x = self.scene_width = 0
self.label_width = 0
self.attrs = VariableListModel()
view = gui.listView(
self.controlArea, self, "attribute", box="Variable",
model=self.attrs, callback=self.attr_changed)
view.setMinimumSize(QSize(30, 30))
# Any other policy than Ignored will let the QListBox's scrollbar
# set the minimal height (see the penultimate paragraph of
# http://doc.qt.io/qt-4.8/qabstractscrollarea.html#addScrollBarWidget)
view.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Ignored)
gui.separator(view.box, 6, 6)
self.cb_order = gui.checkBox(
view.box, self, "order_by_importance",
"Order by relevance",
tooltip="Order by 𝜒² or ANOVA over the subgroups",
callback=self.apply_sorting)
self.group_vars = DomainModel(
placeholder="None", separators=False,
valid_types=Orange.data.DiscreteVariable)
self.group_view = view = gui.listView(
self.controlArea, self, "group_var", box="Subgroups",
model=self.group_vars, callback=self.grouping_changed)
view.setEnabled(False)
view.setMinimumSize(QSize(30, 30))
# See the comment above
view.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Ignored)
# TODO: move Compare median/mean to grouping box
# The vertical size policy is needed to let only the list views expand
self.display_box = gui.vBox(
self.controlArea, "Display",
sizePolicy=(QSizePolicy.Minimum, QSizePolicy.Maximum),
addSpace=False)
gui.checkBox(self.display_box, self, "show_annotations", "Annotate",
callback=self.display_changed)
self.compare_rb = gui.radioButtonsInBox(
self.display_box, self, 'compare',
btnLabels=["No comparison", "Compare medians", "Compare means"],
callback=self.layout_changed)
# The vertical size policy is needed to let only the list views expand
self.stretching_box = box = gui.vBox(
self.controlArea, box="Display",
sizePolicy=(QSizePolicy.Minimum, QSizePolicy.Fixed))
self.stretching_box.sizeHint = self.display_box.sizeHint
gui.checkBox(
box, self, 'stretched', "Stretch bars",
callback=self.display_changed)
gui.checkBox(
box, self, 'show_labels', "Show box labels",
callback=self.display_changed)
self.sort_cb = gui.checkBox(
box, self, 'sort_freqs', "Sort by subgroup frequencies",
callback=self.display_changed)
gui.rubber(box)
gui.auto_commit(self.controlArea, self, "auto_commit",
"Send Selection", "Send Automatically")
gui.vBox(self.mainArea, addSpace=True)
self.box_scene = QGraphicsScene()
self.box_scene.selectionChanged.connect(self.commit)
self.box_view = QGraphicsView(self.box_scene)
self.box_view.setRenderHints(QPainter.Antialiasing |
QPainter.TextAntialiasing |
QPainter.SmoothPixmapTransform)
self.box_view.viewport().installEventFilter(self)
self.mainArea.layout().addWidget(self.box_view)
e = gui.hBox(self.mainArea, addSpace=False)
self.infot1 = gui.widgetLabel(e, "<center>No test results.</center>")
self.mainArea.setMinimumWidth(300)
self.stats = self.dist = self.conts = []
self.is_continuous = False
self.update_display_box()
def resizeEvent(self, event):
QGraphicsView.resizeEvent(self, event)
self.update_view()
def __init__(self):
super().__init__()
# Diagram update is in progress
self._updating = False
# Input update is in progress
self._inputUpdate = False
# All input tables have the same domain.
self.samedomain = True
# Input datasets in the order they were 'connected'.
self.data = OrderedDict()
# Extracted input item sets in the order they were 'connected'
self.itemsets = OrderedDict()
# GUI
box = gui.vBox(self.controlArea, "Info")
self.info = gui.widgetLabel(box, "No data on input.\n")
self.identifiersBox = gui.radioButtonsInBox(
self.controlArea,
self,
"useidentifiers",
[],
box="Data Instance Identifiers",
callback=self._on_useidentifiersChanged,
)
self.useequalityButton = gui.appendRadioButton(self.identifiersBox, "Use instance equality")
self.useidentifiersButton = rb = gui.appendRadioButton(self.identifiersBox, "Use identifiers")
self.inputsBox = gui.indentedBox(self.identifiersBox, sep=gui.checkButtonOffsetHint(rb))
self.inputsBox.setEnabled(bool(self.useidentifiers))
for i in range(5):
box = gui.vBox(self.inputsBox, "Data set #%i" % (i + 1), addSpace=False)
box.setFlat(True)
model = itemmodels.VariableListModel(parent=self)
cb = QComboBox(minimumContentsLength=12, sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLengthWithIcon)
cb.setModel(model)
cb.activated[int].connect(self._on_inputAttrActivated)
box.setEnabled(False)
# Store the combo in the box for later use.
box.combo_box = cb
box.layout().addWidget(cb)
gui.rubber(self.controlArea)
box = gui.vBox(self.controlArea, "Output")
gui.checkBox(box, self, "output_duplicates", "Output duplicates", callback=lambda: self.commit())
gui.auto_commit(box, self, "autocommit", "Send Selection", "Send Automatically", box=False)
# Main area view
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.setBackgroundRole(QPalette.Window)
self.view.setFrameStyle(QGraphicsView.StyledPanel)
self.mainArea.layout().addWidget(self.view)
self.vennwidget = VennDiagram()
self.vennwidget.resize(400, 400)
self.vennwidget.itemTextEdited.connect(self._on_itemTextEdited)
self.scene.selectionChanged.connect(self._on_selectionChanged)
self.scene.addItem(self.vennwidget)
self.resize(self.controlArea.sizeHint().width() + 550, max(self.controlArea.sizeHint().height(), 550))
self._queue = []
class OWVennDiagram(widget.OWWidget):
name = "Venn Diagram"
description = "A graphical visualization of the overlap of data instances " "from a collection of input data sets."
icon = "icons/VennDiagram.svg"
priority = 280
inputs = [("Data", Orange.data.Table, "setData", widget.Multiple)]
outputs = [("Selected Data", Orange.data.Table)]
# Selected disjoint subset indices
selection = settings.Setting([])
#: Stored input set hints
#: {(index, inputname, attributes): (selectedattrname, itemsettitle)}
#: The 'selectedattrname' can be None
inputhints = settings.Setting({})
#: Use identifier columns for instance matching
useidentifiers = settings.Setting(True)
#: Output unique items (one output row for every unique instance `key`)
#: or preserve all duplicates in the output.
output_duplicates = settings.Setting(False)
autocommit = settings.Setting(True)
graph_name = "scene"
def __init__(self):
super().__init__()
# Diagram update is in progress
self._updating = False
# Input update is in progress
self._inputUpdate = False
# All input tables have the same domain.
self.samedomain = True
# Input datasets in the order they were 'connected'.
self.data = OrderedDict()
# Extracted input item sets in the order they were 'connected'
self.itemsets = OrderedDict()
# GUI
box = gui.vBox(self.controlArea, "Info")
self.info = gui.widgetLabel(box, "No data on input.\n")
self.identifiersBox = gui.radioButtonsInBox(
self.controlArea,
self,
"useidentifiers",
[],
box="Data Instance Identifiers",
callback=self._on_useidentifiersChanged,
)
self.useequalityButton = gui.appendRadioButton(self.identifiersBox, "Use instance equality")
self.useidentifiersButton = rb = gui.appendRadioButton(self.identifiersBox, "Use identifiers")
self.inputsBox = gui.indentedBox(self.identifiersBox, sep=gui.checkButtonOffsetHint(rb))
self.inputsBox.setEnabled(bool(self.useidentifiers))
for i in range(5):
box = gui.vBox(self.inputsBox, "Data set #%i" % (i + 1), addSpace=False)
box.setFlat(True)
model = itemmodels.VariableListModel(parent=self)
cb = QComboBox(minimumContentsLength=12, sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLengthWithIcon)
cb.setModel(model)
cb.activated[int].connect(self._on_inputAttrActivated)
box.setEnabled(False)
# Store the combo in the box for later use.
box.combo_box = cb
box.layout().addWidget(cb)
gui.rubber(self.controlArea)
box = gui.vBox(self.controlArea, "Output")
gui.checkBox(box, self, "output_duplicates", "Output duplicates", callback=lambda: self.commit())
gui.auto_commit(box, self, "autocommit", "Send Selection", "Send Automatically", box=False)
# Main area view
self.scene = QGraphicsScene()
self.view = QGraphicsView(self.scene)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.setBackgroundRole(QPalette.Window)
self.view.setFrameStyle(QGraphicsView.StyledPanel)
self.mainArea.layout().addWidget(self.view)
self.vennwidget = VennDiagram()
self.vennwidget.resize(400, 400)
self.vennwidget.itemTextEdited.connect(self._on_itemTextEdited)
self.scene.selectionChanged.connect(self._on_selectionChanged)
self.scene.addItem(self.vennwidget)
self.resize(self.controlArea.sizeHint().width() + 550, max(self.controlArea.sizeHint().height(), 550))
self._queue = []
@check_sql_input
def setData(self, data, key=None):
self.error()
if not self._inputUpdate:
# Store hints only on the first setData call.
self._storeHints()
self._inputUpdate = True
if key in self.data:
if data is None:
# Remove the input
self._remove(key)
else:
# Update existing item
self._update(key, data)
elif data is not None:
# TODO: Allow setting more them 5 inputs and let the user
# select the 5 to display.
if len(self.data) == 5:
self.error("Venn diagram accepts at most five data sets.")
return
# Add a new input
self._add(key, data)
def handleNewSignals(self):
self._inputUpdate = False
# Check if all inputs are from the same domain.
domains = [input.table.domain for input in self.data.values()]
samedomain = all(domain_eq(d1, d2) for d1, d2 in pairwise(domains))
self.samedomain = samedomain
has_identifiers = all(source_attributes(input.table.domain) for input in self.data.values())
has_any_identifiers = any(source_attributes(input.table.domain) for input in self.data.values())
self.useequalityButton.setEnabled(samedomain)
self.useidentifiersButton.setEnabled(has_any_identifiers or len(self.data) == 0)
self.inputsBox.setEnabled(has_any_identifiers)
if not samedomain and has_any_identifiers and not self.useidentifiers:
self.useidentifiers = 1
elif samedomain and not has_identifiers:
self.useidentifiers = 0
incremental = all(inc for _, inc in self._queue)
if incremental:
# Only received updated data on existing link.
self._updateItemsets()
else:
# Links were removed and/or added.
self._createItemsets()
self._restoreHints()
self._updateItemsets()
del self._queue[:]
self._createDiagram()
if self.data:
self.info.setText("{} data sets on input.\n".format(len(self.data)))
else:
self.info.setText("No data on input\n")
self._updateInfo()
super().handleNewSignals()
def _invalidate(self, keys=None, incremental=True):
"""
Invalidate input for a list of input keys.
"""
if keys is None:
keys = list(self.data.keys())
self._queue.extend((key, incremental) for key in keys)
def itemsetAttr(self, key):
index = list(self.data.keys()).index(key)
_, combo = self._controlAtIndex(index)
model = combo.model()
attr_index = combo.currentIndex()
if attr_index >= 0:
return model[attr_index]
else:
return None
def _controlAtIndex(self, index):
group_box = self.inputsBox.layout().itemAt(index).widget()
combo = group_box.combo_box
return group_box, combo
def _setAttributes(self, index, attrs):
box, combo = self._controlAtIndex(index)
model = combo.model()
if attrs is None:
model[:] = []
box.setEnabled(False)
else:
if model[:] != attrs:
model[:] = attrs
box.setEnabled(True)
def _add(self, key, table):
name = table.name
index = len(self.data)
attrs = source_attributes(table.domain)
self.data[key] = _InputData(key, name, table)
self._setAttributes(index, attrs)
self._invalidate([key], incremental=False)
item = self.inputsBox.layout().itemAt(index)
box = item.widget()
box.setTitle("Data set: {}".format(name))
def _remove(self, key):
index = list(self.data.keys()).index(key)
# Clear possible warnings.
self.warning()
self._setAttributes(index, None)
del self.data[key]
layout = self.inputsBox.layout()
item = layout.takeAt(index)
layout.addItem(item)
inputs = list(self.data.values())
for i in range(5):
box, _ = self._controlAtIndex(i)
if i < len(inputs):
title = "Data set: {}".format(inputs[i].name)
else:
title = "Data set #{}".format(i + 1)
box.setTitle(title)
self._invalidate([key], incremental=False)
def _update(self, key, table):
name = table.name
index = list(self.data.keys()).index(key)
attrs = source_attributes(table.domain)
self.data[key] = self.data[key]._replace(name=name, table=table)
self._setAttributes(index, attrs)
self._invalidate([key])
item = self.inputsBox.layout().itemAt(index)
box = item.widget()
box.setTitle("Data set: {}".format(name))
def _itemsForInput(self, key):
useidentifiers = self.useidentifiers or not self.samedomain
def items_by_key(key, input):
attr = self.itemsetAttr(key)
if attr is not None:
return [str(inst[attr]) for inst in input.table if not numpy.isnan(inst[attr])]
else:
return []
def items_by_eq(key, input):
return list(map(ComparableInstance, input.table))
input = self.data[key]
if useidentifiers:
items = items_by_key(key, input)
else:
items = items_by_eq(key, input)
return items
def _updateItemsets(self):
assert list(self.data.keys()) == list(self.itemsets.keys())
for key, input in list(self.data.items()):
items = self._itemsForInput(key)
item = self.itemsets[key]
item = item._replace(items=items)
name = input.name
if item.name != name:
item = item._replace(name=name, title=name)
self.itemsets[key] = item
def _createItemsets(self):
olditemsets = dict(self.itemsets)
self.itemsets.clear()
for key, input in self.data.items():
items = self._itemsForInput(key)
name = input.name
if key in olditemsets and olditemsets[key].name == name:
# Reuse the title (which might have been changed by the user)
title = olditemsets[key].title
else:
title = name
itemset = _ItemSet(key=key, name=name, title=title, items=items)
self.itemsets[key] = itemset
def _storeHints(self):
if self.data:
self.inputhints.clear()
for i, (key, input) in enumerate(self.data.items()):
attrs = source_attributes(input.table.domain)
attrs = tuple(attr.name for attr in attrs)
selected = self.itemsetAttr(key)
if selected is not None:
attr_name = selected.name
else:
attr_name = None
itemset = self.itemsets[key]
self.inputhints[(i, input.name, attrs)] = (attr_name, itemset.title)
def _restoreHints(self):
settings = []
for i, (key, input) in enumerate(self.data.items()):
attrs = source_attributes(input.table.domain)
attrs = tuple(attr.name for attr in attrs)
hint = self.inputhints.get((i, input.name, attrs), None)
if hint is not None:
attr, name = hint
attr_ind = attrs.index(attr) if attr is not None else -1
settings.append((attr_ind, name))
else:
return
# all inputs match the stored hints
for i, key in enumerate(self.itemsets):
attr, itemtitle = settings[i]
self.itemsets[key] = self.itemsets[key]._replace(title=itemtitle)
_, cb = self._controlAtIndex(i)
cb.setCurrentIndex(attr)
def _createDiagram(self):
self._updating = True
oldselection = list(self.selection)
self.vennwidget.clear()
n = len(self.itemsets)
self.disjoint = disjoint(set(s.items) for s in self.itemsets.values())
vennitems = []
colors = colorpalette.ColorPaletteHSV(n)
for i, (key, item) in enumerate(self.itemsets.items()):
count = len(set(item.items))
count_all = len(item.items)
if count != count_all:
fmt = "{} <i>(all: {})</i>"
else:
fmt = "{}"
counts = fmt.format(count, count_all)
gr = VennSetItem(text=item.title, informativeText=counts)
color = colors[i]
color.setAlpha(100)
gr.setBrush(QBrush(color))
gr.setPen(QPen(Qt.NoPen))
vennitems.append(gr)
self.vennwidget.setItems(vennitems)
for i, area in enumerate(self.vennwidget.vennareas()):
area_items = list(map(str, list(self.disjoint[i])))
if i:
area.setText("{0}".format(len(area_items)))
label = disjoint_set_label(i, n, simplify=False)
head = "<h4>|{}| = {}</h4>".format(label, len(area_items))
if len(area_items) > 32:
items_str = ", ".join(map(escape, area_items[:32]))
hidden = len(area_items) - 32
tooltip = "{}<span>{}, ...</br>({} items not shown)<span>".format(head, items_str, hidden)
elif area_items:
tooltip = "{}<span>{}</span>".format(head, ", ".join(map(escape, area_items)))
else:
tooltip = head
area.setToolTip(tooltip)
area.setPen(QPen(QColor(10, 10, 10, 200), 1.5))
area.setFlag(QGraphicsPathItem.ItemIsSelectable, True)
area.setSelected(i in oldselection)
self._updating = False
self._on_selectionChanged()
def _updateInfo(self):
# Clear all warnings
self.warning()
if not len(self.data):
self.info.setText("No data on input\n")
else:
self.info.setText("{0} data sets on input\n".format(len(self.data)))
if self.useidentifiers:
no_idx = [
"#{}".format(i + 1)
for i, key in enumerate(self.data)
if not source_attributes(self.data[key].table.domain)
]
if len(no_idx) == 1:
self.warning("Data set {} has no suitable identifiers.".format(no_idx[0]))
elif len(no_idx) > 1:
self.warning(
"Data sets {} and {} have no suitable identifiers.".format(", ".join(no_idx[:-1]), no_idx[-1])
)
def _on_selectionChanged(self):
if self._updating:
return
areas = self.vennwidget.vennareas()
indices = [i for i, area in enumerate(areas) if area.isSelected()]
self.selection = indices
self.invalidateOutput()
def _on_useidentifiersChanged(self):
self.inputsBox.setEnabled(self.useidentifiers == 1)
# Invalidate all itemsets
self._invalidate()
self._updateItemsets()
self._createDiagram()
self._updateInfo()
def _on_inputAttrActivated(self, attr_index):
combo = self.sender()
# Find the input index to which the combo box belongs
# (they are reordered when removing inputs).
index = None
inputs = list(self.data.items())
for i in range(len(inputs)):
_, c = self._controlAtIndex(i)
if c is combo:
index = i
break
assert index is not None
key, _ = inputs[index]
self._invalidate([key])
self._updateItemsets()
self._createDiagram()
def _on_itemTextEdited(self, index, text):
text = str(text)
key = list(self.itemsets.keys())[index]
self.itemsets[key] = self.itemsets[key]._replace(title=text)
def invalidateOutput(self):
self.commit()
def commit(self):
selected_subsets = []
selected_items = reduce(set.union, [self.disjoint[index] for index in self.selection], set())
def match(val):
if numpy.isnan(val):
return False
else:
return str(val) in selected_items
source_var = Orange.data.StringVariable("source")
item_id_var = Orange.data.StringVariable("item_id")
names = [itemset.title.strip() for itemset in self.itemsets.values()]
names = uniquify(names)
for i, (key, input) in enumerate(self.data.items()):
if self.useidentifiers:
attr = self.itemsetAttr(key)
if attr is not None:
mask = list(map(match, (inst[attr] for inst in input.table)))
else:
mask = [False] * len(input.table)
def instance_key(inst):
return str(inst[attr])
else:
mask = [ComparableInstance(inst) in selected_items for inst in input.table]
_map = {item: str(i) for i, item in enumerate(selected_items)}
def instance_key(inst):
return _map[ComparableInstance(inst)]
mask = numpy.array(mask, dtype=bool)
subset = input.table[mask]
if len(subset) == 0:
continue
# add columns with source table id and set id
if not self.output_duplicates:
id_column = numpy.array([[instance_key(inst)] for inst in subset], dtype=object)
source_names = numpy.array([[names[i]]] * len(subset), dtype=object)
subset = append_column(subset, "M", source_var, source_names)
subset = append_column(subset, "M", item_id_var, id_column)
selected_subsets.append(subset)
if selected_subsets and not self.output_duplicates:
data = table_concat(selected_subsets)
# Get all variables which are not constant between the same
# item set
varying = varying_between(data, [item_id_var])
if source_var in varying:
varying.remove(source_var)
data = reshape_wide(data, varying, [item_id_var], [source_var])
# remove the temporary item set id column
data = drop_columns(data, [item_id_var])
elif selected_subsets:
data = table_concat(selected_subsets)
else:
data = None
self.send("Selected Data", data)
def getSettings(self, *args, **kwargs):
self._storeHints()
return super().getSettings(self, *args, **kwargs)
def send_report(self):
self.report_plot()
def mouseReleaseEvent(self, event):
if event.button() & Qt.LeftButton:
self.__stopAutoScroll()
return QGraphicsView.mouseReleaseEvent(self, event)
class OWQualityControl(widget.OWWidget):
name = "Quality Control"
description = "Experiment quality control"
icon = "../widgets/icons/QualityControl.svg"
priority = 5000
inputs = [("Experiment Data", Orange.data.Table, "set_data")]
outputs = []
DISTANCE_FUNCTIONS = [("Distance from Pearson correlation",
dist_pcorr),
("Euclidean distance",
dist_eucl),
("Distance from Spearman correlation",
dist_spearman)]
settingsHandler = SetContextHandler()
split_by_labels = settings.ContextSetting({})
sort_by_labels = settings.ContextSetting({})
selected_distance_index = settings.Setting(0)
def __init__(self, parent=None):
super().__init__(parent)
## Attributes
self.data = None
self.distances = None
self.groups = None
self.unique_pos = None
self.base_group_index = 0
## GUI
box = gui.widgetBox(self.controlArea, "Info")
self.info_box = gui.widgetLabel(box, "\n")
## Separate By box
box = gui.widgetBox(self.controlArea, "Separate By")
self.split_by_model = itemmodels.PyListModel(parent=self)
self.split_by_view = QListView()
self.split_by_view.setSelectionMode(QListView.ExtendedSelection)
self.split_by_view.setModel(self.split_by_model)
box.layout().addWidget(self.split_by_view)
self.split_by_view.selectionModel().selectionChanged.connect(
self.on_split_key_changed)
## Sort By box
box = gui.widgetBox(self.controlArea, "Sort By")
self.sort_by_model = itemmodels.PyListModel(parent=self)
self.sort_by_view = QListView()
self.sort_by_view.setSelectionMode(QListView.ExtendedSelection)
self.sort_by_view.setModel(self.sort_by_model)
box.layout().addWidget(self.sort_by_view)
self.sort_by_view.selectionModel().selectionChanged.connect(
self.on_sort_key_changed)
## Distance box
box = gui.widgetBox(self.controlArea, "Distance Measure")
gui.comboBox(box, self, "selected_distance_index",
items=[name for name, _ in self.DISTANCE_FUNCTIONS],
callback=self.on_distance_measure_changed)
self.scene = QGraphicsScene()
self.scene_view = QGraphicsView(self.scene)
self.scene_view.setRenderHints(QPainter.Antialiasing)
self.scene_view.setAlignment(Qt.AlignLeft | Qt.AlignVCenter)
self.mainArea.layout().addWidget(self.scene_view)
self.scene_view.installEventFilter(self)
self._disable_updates = False
self._cached_distances = {}
self._base_index_hints = {}
self.main_widget = None
self.resize(800, 600)
def clear(self):
"""Clear the widget state."""
self.data = None
self.distances = None
self.groups = None
self.unique_pos = None
with disable_updates(self):
self.split_by_model[:] = []
self.sort_by_model[:] = []
self.main_widget = None
self.scene.clear()
self.info_box.setText("\n")
self._cached_distances = {}
def set_data(self, data=None):
"""Set input experiment data."""
self.closeContext()
self.clear()
self.error(0)
self.warning(0)
if data is not None:
keys = self.get_suitable_keys(data)
if not keys:
self.error(0, "Data has no suitable feature labels.")
data = None
self.data = data
if data is not None:
self.on_new_data()
def update_label_candidates(self):
"""Update the label candidates selection GUI
(Group/Sort By views).
"""
keys = self.get_suitable_keys(self.data)
with disable_updates(self):
self.split_by_model[:] = keys
self.sort_by_model[:] = keys
def get_suitable_keys(self, data):
""" Return suitable attr label keys from the data where
the key has at least two unique values in the data.
"""
attrs = [attr.attributes.items() for attr in data.domain.attributes]
attrs = reduce(operator.iadd, attrs, [])
# in case someone put non string values in attributes dict
attrs = [(str(key), str(value)) for key, value in attrs]
attrs = set(attrs)
values = defaultdict(set)
for key, value in attrs:
values[key].add(value)
keys = [key for key in values if len(values[key]) > 1]
return keys
def selected_split_by_labels(self):
"""Return the current selected split labels.
"""
sel_m = self.split_by_view.selectionModel()
indices = [r.row() for r in sel_m.selectedRows()]
return [self.sort_by_model[i] for i in indices]
def selected_sort_by_labels(self):
"""Return the current selected sort labels
"""
sel_m = self.sort_by_view.selectionModel()
indices = [r.row() for r in sel_m.selectedRows()]
return [self.sort_by_model[i] for i in indices]
def selected_distance(self):
"""Return the selected distance function.
"""
return self.DISTANCE_FUNCTIONS[self.selected_distance_index][1]
def selected_base_group_index(self):
"""Return the selected base group index
"""
return self.base_group_index
def selected_base_indices(self, base_group_index=None):
indices = []
for g, ind in self.groups:
if base_group_index is None:
label = group_label(self.selected_split_by_labels(), g)
ind = [i for i in ind if i is not None]
i = self._base_index_hints.get(label, ind[0] if ind else None)
else:
i = ind[base_group_index]
indices.append(i)
return indices
def on_new_data(self):
"""We have new data and need to recompute all.
"""
self.closeContext()
self.update_label_candidates()
self.info_box.setText(
"%s genes \n%s experiments" %
(len(self.data), len(self.data.domain.attributes))
)
self.base_group_index = 0
keys = self.get_suitable_keys(self.data)
self.openContext(keys)
## Restore saved context settings (split/sort selection)
split_by_labels = self.split_by_labels
sort_by_labels = self.sort_by_labels
def select(model, selection_model, selected_items):
"""Select items in a Qt item model view
"""
all_items = list(model)
try:
indices = [all_items.index(item) for item in selected_items]
except:
indices = []
for ind in indices:
selection_model.select(model.index(ind),
QItemSelectionModel.Select)
with disable_updates(self):
select(self.split_by_view.model(),
self.split_by_view.selectionModel(),
split_by_labels)
select(self.sort_by_view.model(),
self.sort_by_view.selectionModel(),
sort_by_labels)
with widget_disable(self):
self.split_and_update()
def on_split_key_changed(self, *args):
"""Split key has changed
"""
with widget_disable(self):
if not self._disable_updates:
self.base_group_index = 0
self.split_by_labels = self.selected_split_by_labels()
self.split_and_update()
def on_sort_key_changed(self, *args):
"""Sort key has changed
"""
with widget_disable(self):
if not self._disable_updates:
self.base_group_index = 0
self.sort_by_labels = self.selected_sort_by_labels()
self.split_and_update()
def on_distance_measure_changed(self):
"""Distance measure has changed
"""
if self.data is not None:
with widget_disable(self):
self.update_distances()
self.replot_experiments()
def on_view_resize(self, size):
"""The view with the quality plot has changed
"""
if self.main_widget:
current = self.main_widget.size()
self.main_widget.resize(size.width() - 6,
current.height())
self.scene.setSceneRect(self.scene.itemsBoundingRect())
def on_rug_item_clicked(self, item):
"""An ``item`` in the quality plot has been clicked.
"""
update = False
sort_by_labels = self.selected_sort_by_labels()
if sort_by_labels and item.in_group:
## The item is part of the group
if item.group_index != self.base_group_index:
self.base_group_index = item.group_index
update = True
else:
if sort_by_labels:
# If the user clicked on an background item it
# invalidates the sorted labels selection
with disable_updates(self):
self.sort_by_view.selectionModel().clear()
update = True
index = item.index
group = item.group
label = group_label(self.selected_split_by_labels(), group)
if self._base_index_hints.get(label, 0) != index:
self._base_index_hints[label] = index
update = True
if update:
with widget_disable(self):
self.split_and_update()
def eventFilter(self, obj, event):
if obj is self.scene_view and event.type() == QEvent.Resize:
self.on_view_resize(event.size())
return super().eventFilter(obj, event)
def split_and_update(self):
"""
Split the data based on the selected sort/split labels
and update the quality plot.
"""
split_labels = self.selected_split_by_labels()
sort_labels = self.selected_sort_by_labels()
self.warning(0)
if not split_labels:
self.warning(0, "No separate by label selected.")
self.groups, self.unique_pos = \
exp.separate_by(self.data, split_labels,
consider=sort_labels,
add_empty=True)
self.groups = sorted(self.groups.items(),
key=lambda t: list(map(float_if_posible, t[0])))
self.unique_pos = sorted(self.unique_pos.items(),
key=lambda t: list(map(float_if_posible, t[0])))
if self.groups:
if sort_labels:
group_base = self.selected_base_group_index()
base_indices = self.selected_base_indices(group_base)
else:
base_indices = self.selected_base_indices()
self.update_distances(base_indices)
self.replot_experiments()
def get_cached_distances(self, measure):
if measure not in self._cached_distances:
attrs = self.data.domain.attributes
mat = numpy.zeros((len(attrs), len(attrs)))
self._cached_distances[measure] = \
(mat, set(zip(range(len(attrs)), range(len(attrs)))))
return self._cached_distances[measure]
def get_cached_distance(self, measure, i, j):
matrix, computed = self.get_cached_distances(measure)
key = (i, j) if i < j else (j, i)
if key in computed:
return matrix[i, j]
else:
return None
def get_distance(self, measure, i, j):
d = self.get_cached_distance(measure, i, j)
if d is None:
vec_i = take_columns(self.data, [i])
vec_j = take_columns(self.data, [j])
d = measure(vec_i, vec_j)
mat, computed = self.get_cached_distances(measure)
mat[i, j] = d
key = key = (i, j) if i < j else (j, i)
computed.add(key)
return d
def store_distance(self, measure, i, j, dist):
matrix, computed = self.get_cached_distances(measure)
key = (i, j) if i < j else (j, i)
matrix[j, i] = matrix[i, j] = dist
computed.add(key)
def update_distances(self, base_indices=()):
"""Recompute the experiment distances.
"""
distance = self.selected_distance()
if base_indices == ():
base_group_index = self.selected_base_group_index()
base_indices = [ind[base_group_index] \
for _, ind in self.groups]
assert(len(base_indices) == len(self.groups))
base_distances = []
attributes = self.data.domain.attributes
pb = gui.ProgressBar(self, len(self.groups) * len(attributes))
for (group, indices), base_index in zip(self.groups, base_indices):
# Base column of the group
if base_index is not None:
base_vec = take_columns(self.data, [base_index])
distances = []
# Compute the distances between base column
# and all the rest data columns.
for i in range(len(attributes)):
if i == base_index:
distances.append(0.0)
elif self.get_cached_distance(distance, i, base_index) is not None:
distances.append(self.get_cached_distance(distance, i, base_index))
else:
vec_i = take_columns(self.data, [i])
dist = distance(base_vec, vec_i)
self.store_distance(distance, i, base_index, dist)
distances.append(dist)
pb.advance()
base_distances.append(distances)
else:
base_distances.append(None)
pb.finish()
self.distances = base_distances
def replot_experiments(self):
"""Replot the whole quality plot.
"""
self.scene.clear()
labels = []
max_dist = numpy.nanmax(list(filter(None, self.distances)))
rug_widgets = []
group_pen = QPen(Qt.black)
group_pen.setWidth(2)
group_pen.setCapStyle(Qt.RoundCap)
background_pen = QPen(QColor(0, 0, 250, 150))
background_pen.setWidth(1)
background_pen.setCapStyle(Qt.RoundCap)
main_widget = QGraphicsWidget()
layout = QGraphicsGridLayout()
attributes = self.data.domain.attributes
if self.data is not None:
for (group, indices), dist_vec in zip(self.groups, self.distances):
indices_set = set(indices)
rug_items = []
if dist_vec is not None:
for i, attr in enumerate(attributes):
# Is this a within group distance or background
in_group = i in indices_set
if in_group:
rug_item = ClickableRugItem(dist_vec[i] / max_dist,
1.0, self.on_rug_item_clicked)
rug_item.setPen(group_pen)
tooltip = experiment_description(attr)
rug_item.setToolTip(tooltip)
rug_item.group_index = indices.index(i)
rug_item.setZValue(rug_item.zValue() + 1)
else:
rug_item = ClickableRugItem(dist_vec[i] / max_dist,
0.85, self.on_rug_item_clicked)
rug_item.setPen(background_pen)
tooltip = experiment_description(attr)
rug_item.setToolTip(tooltip)
rug_item.group = group
rug_item.index = i
rug_item.in_group = in_group
rug_items.append(rug_item)
rug_widget = RugGraphicsWidget(parent=main_widget)
rug_widget.set_rug(rug_items)
rug_widgets.append(rug_widget)
label = group_label(self.selected_split_by_labels(), group)
label_item = QGraphicsSimpleTextItem(label, main_widget)
label_item = GraphicsSimpleTextLayoutItem(label_item, parent=layout)
label_item.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
labels.append(label_item)
for i, (label, rug_w) in enumerate(zip(labels, rug_widgets)):
layout.addItem(label, i, 0, Qt.AlignVCenter)
layout.addItem(rug_w, i, 1)
layout.setRowMaximumHeight(i, 30)
main_widget.setLayout(layout)
self.scene.addItem(main_widget)
self.main_widget = main_widget
self.rug_widgets = rug_widgets
self.labels = labels
self.on_view_resize(self.scene_view.size())
def mousePressEvent(self, event):
QGraphicsView.mousePressEvent(self, event)
def setScene(self, scene):
QGraphicsView.setScene(self, scene)
self._ensureSceneRect(scene)
