def __paintEventNoStyle(self):
p = QPainter(self)
opt = QStyleOptionToolButton()
self.initStyleOption(opt)
fm = QFontMetrics(opt.font)
palette = opt.palette
# highlight brush is used as the background for the icon and background
# when the tab is expanded and as mouse hover color (lighter).
brush_highlight = palette.highlight()
foregroundrole = QPalette.ButtonText
if opt.state & QStyle.State_Sunken:
# State 'down' pressed during a mouse press (slightly darker).
background_brush = brush_darker(brush_highlight, 110)
foregroundrole = QPalette.HighlightedText
elif opt.state & QStyle.State_MouseOver:
background_brush = brush_darker(brush_highlight, 95)
foregroundrole = QPalette.HighlightedText
elif opt.state & QStyle.State_On:
background_brush = brush_highlight
foregroundrole = QPalette.HighlightedText
else:
# The default button brush.
background_brush = palette.button()
rect = opt.rect
icon_area_rect = QRect(rect)
icon_area_rect.setWidth(int(icon_area_rect.height() * 1.26))
text_rect = QRect(rect)
text_rect.setLeft(icon_area_rect.x() + icon_area_rect.width() + 10)
# Background
# TODO: Should the tab button have native toolbutton shape, drawn
# using PE_PanelButtonTool or even QToolBox tab shape
# Default outline pen
pen = QPen(palette.color(QPalette.Mid))
p.save()
p.setPen(Qt.NoPen)
p.setBrush(QBrush(background_brush))
p.drawRect(rect)
# Draw the background behind the icon if the background_brush
# is different.
if not opt.state & QStyle.State_On:
p.setBrush(brush_highlight)
p.drawRect(icon_area_rect)
# Line between the icon and text
p.setPen(pen)
p.drawLine(icon_area_rect.x() + icon_area_rect.width(),
icon_area_rect.y(),
icon_area_rect.x() + icon_area_rect.width(),
icon_area_rect.y() + icon_area_rect.height())
if opt.state & QStyle.State_HasFocus:
# Set the focus frame pen and draw the border
pen = QPen(QColor(brush_highlight))
p.setPen(pen)
p.setBrush(Qt.NoBrush)
# Adjust for pen
rect = rect.adjusted(0, 0, -1, -1)
p.drawRect(rect)
else:
p.setPen(pen)
# Draw the top/bottom border
if self.position == ToolBoxTabButton.OnlyOneTab or \
self.position == ToolBoxTabButton.Beginning or \
self.selected & ToolBoxTabButton.PreviousIsSelected:
p.drawLine(rect.x(), rect.y(),
rect.x() + rect.width(), rect.y())
p.drawLine(rect.x(),
rect.y() + rect.height(),
rect.x() + rect.width(),
rect.y() + rect.height())
p.restore()
p.save()
text = fm.elidedText(opt.text, Qt.ElideRight, text_rect.width())
p.setPen(QPen(palette.color(foregroundrole)))
p.setFont(opt.font)
p.drawText(
text_rect,
int(Qt.AlignVCenter | Qt.AlignLeft) | int(Qt.TextSingleLine), text)
if not opt.icon.isNull():
if opt.state & QStyle.State_Enabled:
mode = QIcon.Normal
else:
mode = QIcon.Disabled
if opt.state & QStyle.State_On:
state = QIcon.On
else:
state = QIcon.Off
icon_area_rect = icon_area_rect
icon_rect = QRect(QPoint(0, 0), opt.iconSize)
icon_rect.moveCenter(icon_area_rect.center())
opt.icon.paint(p, icon_rect, Qt.AlignCenter, mode, state)
p.restore()
def setPen(self, pen):
if self.__pen != pen:
self.prepareGeometryChange()
self.__pen = QPen(pen)
self.__shape = None
super().setPen(self.__pen)
def paintEvent(self, event):
painter = QStylePainter(self)
rect = self._subControlRect(QStyle.SC_SliderGroove)
is_horizontal = self.orientation() == Qt.Horizontal
minpos, maxpos = self.minimumPosition(), self.maximumPosition()
span = rect.width() if is_horizontal else rect.height()
x1 = QStyle.sliderPositionFromValue(
self.minimum(), self.maximum(), minpos, span, self.invertedAppearance())
x2 = QStyle.sliderPositionFromValue(
self.minimum(), self.maximum(), maxpos, span, self.invertedAppearance())
# Background
painter.fillRect(rect, Qt.white)
# Highlight
painter.setOpacity(.7)
if is_horizontal:
painter.fillRect(x1, rect.y(), x2 - x1, rect.height(), Qt.yellow)
else:
painter.fillRect(rect.x(), x1, rect.width(), x2 - x1, Qt.yellow)
painter.setOpacity(1)
# Histogram
if self._pixmap:
painter.drawPixmap(rect, self._pixmap, self._pixmap.rect())
# Frame
painter.setPen(QPen(QBrush(Qt.darkGray), 2))
painter.drawRect(rect)
# Handles
painter.setPen(QPen(QBrush(self._HANDLE_COLOR), self._HANDLE_WIDTH))
painter.setOpacity(9)
if is_horizontal:
painter.drawLine(x1, rect.y(), x1, rect.y() + rect.height())
painter.drawLine(x2, rect.y(), x2, rect.y() + rect.height())
else:
painter.drawLine(rect.x(), x1, rect.x() + rect.width(), x1)
painter.drawLine(rect.x(), x2, rect.x() + rect.width(), x2)
painter.setOpacity(1)
if self._show_text:
painter.setFont(QFont('Monospace', 7, QFont.Bold))
strMin, strMax = self.formatValues(minpos, maxpos)
widthMin = painter.fontMetrics().width(strMin)
widthMax = painter.fontMetrics().width(strMax)
height = painter.fontMetrics().height()
is_enough_space = x2 - x1 > 3 + (max(widthMax, widthMin)
if is_horizontal else
(2 * height + self._HANDLE_WIDTH))
if is_enough_space:
if is_horizontal:
painter.drawText(x1 + 3, rect.y() + height, strMin)
painter.drawText(x2 - widthMax - 2,
rect.y() + rect.height() - 3, strMax)
else:
painter.drawText(rect.x() + 1, x1 + height, strMin)
painter.drawText(rect.x() + rect.width() - widthMax - 1, x2 - 2, strMax)
# Tooltip
if self._showControlTooltip\
and (not self._show_text or not is_enough_space):
# (show control-drag tooltip)
painter.setFont(QFont('Monospace', 10, QFont.Normal))
text = "Hold {} to move time interval" \
.format("Cmd" if sys.platform == "darwin"
else "Ctrl")
w = painter.fontMetrics().width(text)
h = painter.fontMetrics().height()
brush = QColor(224, 224, 224, 212)
pen = QPen(Qt.NoPen)
rect = QRect(4, 4, w + 8, h + 4)
painter.setBrush(brush)
painter.setPen(pen)
painter.drawRect(rect)
painter.setPen(Qt.black)
painter.drawText(8, 4 + h, text)
def pen(self):
return QPen(self.__pen)
def framePen(self):
"""Return the frame pen.
"""
return QPen(self.__framePen)
def __init__(self, pen = QPen(Qt.black), brush = QBrush(Qt.white), xData = [], yData = [], tooltip = None):
OWCurve.__init__(self, xData, yData, tooltip=tooltip)
self._data_polygon = self.polygon_from_data(xData, yData)
self._polygon_item = QGraphicsPolygonItem(self)
self.set_pen(pen)
self.set_brush(brush)
def __init__(self, name, pen = QPen(Qt.black), xData = None, yData = None):
orangeqt.UnconnectedLinesCurve.__init__(self)
self.set_data(xData, yData)
if pen:
self.set_pen(pen)
self.name = name
def pen(color):
pen = QPen(color, 1)
pen.setCosmetic(True)
return pen
def _init_ui(self):
namesBox = gui.vBox(self.controlArea, "Names")
hbox = gui.hBox(namesBox, margin=0, spacing=0)
gui.lineEdit(hbox,
self,
"attr1",
"Variable X: ",
controlWidth=80,
orientation=Qt.Horizontal,
callback=self._attr_name_changed)
gui.separator(hbox, 21)
hbox = gui.hBox(namesBox, margin=0, spacing=0)
attr2 = gui.lineEdit(hbox,
self,
"attr2",
"Variable Y: ",
controlWidth=80,
orientation=Qt.Horizontal,
callback=self._attr_name_changed)
gui.separator(hbox)
gui.checkBox(hbox,
self,
"hasAttr2",
'',
disables=attr2,
labelWidth=0,
callback=self.set_dimensions)
gui.separator(namesBox)
gui.widgetLabel(namesBox, "Labels")
self.classValuesView = listView = gui.ListViewWithSizeHint(
preferred_size=(-1, 30))
listView.setModel(self.class_model)
itemmodels.select_row(listView, 0)
namesBox.layout().addWidget(listView)
self.addClassLabel = QAction("+",
self,
toolTip="Add new class label",
triggered=self.add_new_class_label)
self.removeClassLabel = QAction(
unicodedata.lookup("MINUS SIGN"),
self,
toolTip="Remove selected class label",
triggered=self.remove_selected_class_label)
actionsWidget = itemmodels.ModelActionsWidget(
[self.addClassLabel, self.removeClassLabel], self)
actionsWidget.layout().addStretch(10)
actionsWidget.layout().setSpacing(1)
namesBox.layout().addWidget(actionsWidget)
tBox = gui.vBox(self.controlArea, "Tools", addSpace=True)
buttonBox = gui.hBox(tBox)
toolsBox = gui.widgetBox(buttonBox, orientation=QGridLayout())
self.toolActions = QActionGroup(self)
self.toolActions.setExclusive(True)
self.toolButtons = []
for i, (name, tooltip, tool, icon) in enumerate(self.TOOLS):
action = QAction(
name,
self,
toolTip=tooltip,
checkable=tool.checkable,
icon=QIcon(icon),
)
action.triggered.connect(partial(self.set_current_tool, tool))
button = QToolButton(iconSize=QSize(24, 24),
toolButtonStyle=Qt.ToolButtonTextUnderIcon,
sizePolicy=QSizePolicy(
QSizePolicy.MinimumExpanding,
QSizePolicy.Fixed))
button.setDefaultAction(action)
self.toolButtons.append((button, tool))
toolsBox.layout().addWidget(button, i / 3, i % 3)
self.toolActions.addAction(action)
for column in range(3):
toolsBox.layout().setColumnMinimumWidth(column, 10)
toolsBox.layout().setColumnStretch(column, 1)
undo = self.undo_stack.createUndoAction(self)
redo = self.undo_stack.createRedoAction(self)
undo.setShortcut(QKeySequence.Undo)
redo.setShortcut(QKeySequence.Redo)
self.addActions([undo, redo])
self.undo_stack.indexChanged.connect(self.invalidate)
gui.separator(tBox)
indBox = gui.indentedBox(tBox, sep=8)
form = QFormLayout(formAlignment=Qt.AlignLeft,
labelAlignment=Qt.AlignLeft,
fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow)
indBox.layout().addLayout(form)
slider = gui.hSlider(indBox,
self,
"brushRadius",
minValue=1,
maxValue=100,
createLabel=False)
form.addRow("Radius:", slider)
slider = gui.hSlider(indBox,
self,
"density",
None,
minValue=1,
maxValue=100,
createLabel=False)
form.addRow("Intensity:", slider)
slider = gui.hSlider(indBox,
self,
"symbol_size",
None,
minValue=1,
maxValue=100,
createLabel=False,
callback=self.set_symbol_size)
form.addRow("Symbol:", slider)
self.btResetToInput = gui.button(tBox, self, "Reset to Input Data",
self.reset_to_input)
self.btResetToInput.setDisabled(True)
gui.auto_send(self.controlArea, self, "autocommit")
# main area GUI
viewbox = PaintViewBox(enableMouse=False)
self.plotview = pg.PlotWidget(background="w", viewBox=viewbox)
self.plotview.sizeHint = lambda: QSize(
200, 100) # Minimum size for 1-d painting
self.plot = self.plotview.getPlotItem()
axis_color = self.palette().color(QPalette.Text)
axis_pen = QPen(axis_color)
tickfont = QFont(self.font())
tickfont.setPixelSize(max(int(tickfont.pixelSize() * 2 // 3), 11))
axis = self.plot.getAxis("bottom")
axis.setLabel(self.attr1)
axis.setPen(axis_pen)
axis.setTickFont(tickfont)
axis = self.plot.getAxis("left")
axis.setLabel(self.attr2)
axis.setPen(axis_pen)
axis.setTickFont(tickfont)
if not self.hasAttr2:
self.plot.hideAxis('left')
self.plot.hideButtons()
self.plot.setXRange(0, 1, padding=0.01)
self.mainArea.layout().addWidget(self.plotview)
self.info.set_input_summary(self.info.NoInput)
self.info.set_output_summary(self.info.NoOutput)
# enable brush tool
self.toolActions.actions()[0].setChecked(True)
self.set_current_tool(self.TOOLS[0][2])
self.set_dimensions()
def __init__(self, name, data_extremes, values, scale, name_offset, offset):
super().__init__()
data_start, data_stop = data_extremes[0], data_extremes[1]
labels = [str(np.round(data_start + (data_stop - data_start) * i /
(self.n_tck - 1), 1)) for i in range(self.n_tck)]
# leading label
font = name.document().defaultFont()
name.setFont(font)
name.setPos(name_offset, -10)
name.setParentItem(self)
# labels
ascending = data_start < data_stop
y_start, y_stop = (self.y_diff, 0) if ascending else (0, self.y_diff)
for i in range(self.n_tck):
text = QGraphicsSimpleTextItem(labels[i], self)
w = text.boundingRect().width()
y = y_start + (y_stop - y_start) / (self.n_tck - 1) * i
text.setPos(-5 - w, y - 8)
tick = QGraphicsLineItem(-2, y, 2, y, self)
# prediction marker
self.dot = Continuous2DMovableDotItem(
self.DOT_RADIUS, scale, offset, values[0], values[-1], y_start, y_stop)
self.dot.tooltip_labels = labels
self.dot.tooltip_values = values
self.dot.setParentItem(self)
h_line = QGraphicsLineItem(values[0] * scale + offset, self.y_diff / 2,
values[-1] * scale + offset, self.y_diff / 2,
self)
pen = QPen(Qt.DashLine)
pen.setBrush(QColor(Qt.red))
h_line.setPen(pen)
self.dot.horizontal_line = h_line
# pylint: disable=unused-variable
# line
line = QGraphicsLineItem(values[0] * scale + offset, y_start,
values[-1] * scale + offset, y_stop,
self)
# ticks
for value in values:
diff_ = np.nan_to_num(values[-1] - values[0])
k = (value - values[0]) / diff_ if diff_ else 0
y_tick = (y_stop - y_start) * k + y_start - self.tick_height / 2
x_tick = value * scale - self.tick_width / 2 + offset
tick = QGraphicsRectItem(
x_tick, y_tick, self.tick_width, self.tick_height,
self)
tick.setBrush(QColor(Qt.black))
# rect
rect = QGraphicsRectItem(
values[0] * scale + offset, -self.y_diff * 0.125,
values[-1] * scale + offset, self.y_diff * 1.25,
self)
pen = QPen(Qt.DotLine)
pen.setBrush(QColor(50, 150, 200, 255))
rect.setPen(pen)
self.setPreferredSize(self.preferredWidth(), self.y_diff * 1.5)
Preview)
_log = logging.getLogger(__name__)
_ImageItem = namedtuple(
"_ImageItem",
[
"index", # Index in the input data table
"widget", # GraphicsThumbnailWidget displaying the image.
"url", # Composed final image url.
"future"
] # Future instance yielding an QImage
)
DEFAULT_SELECTION_BRUSH = QBrush(QColor(217, 232, 252, 192))
DEFAULT_SELECTION_PEN = QPen(QColor(125, 162, 206, 192))
class OWImageGrid(widget.OWWidget):
name = "Image Grid"
description = "Visualize images in a similarity grid"
icon = "icons/ImageGrid.svg"
priority = 160
keywords = ["image", "grid", "similarity"]
graph_name = "scene"
class Inputs:
data = Input("Embeddings", Orange.data.Table, default=True)
data_subset = Input("Data Subset", Orange.data.Table)
class Outputs:
def paint(self, painter, option, index):
dist = self.distribution(index)
if dist is None or self.colors is None:
super().paint(painter, option, index)
return
if not numpy.isfinite(numpy.sum(dist)):
super().paint(painter, option, index)
return
if option.widget is not None:
style = option.widget.style()
else:
style = QApplication.style()
self.initStyleOption(option, index)
text = option.text
metrics = option.fontMetrics
margin = style.pixelMetric(QStyle.PM_FocusFrameHMargin, option,
option.widget) + 1
bottommargin = min(margin, 1)
rect = option.rect.adjusted(margin, margin, -margin, -bottommargin)
textrect = style.subElementRect(QStyle.SE_ItemViewItemText, option,
option.widget)
# Are the margins included in the subElementRect?? -> No!
textrect = textrect.adjusted(margin, margin, -margin, -bottommargin)
text = option.fontMetrics.elidedText(text, option.textElideMode,
textrect.width())
spacing = max(metrics.leading(), 1)
distheight = rect.height() - metrics.height() - spacing
distheight = numpy.clip(distheight, 2, metrics.height())
painter.save()
painter.setClipRect(option.rect)
painter.setFont(option.font)
painter.setRenderHint(QPainter.Antialiasing)
style.drawPrimitive(QStyle.PE_PanelItemViewRow, option, painter,
option.widget)
style.drawPrimitive(QStyle.PE_PanelItemViewItem, option, painter,
option.widget)
if option.state & QStyle.State_Selected:
color = option.palette.highlightedText().color()
else:
color = option.palette.text().color()
painter.setPen(QPen(color))
textrect = textrect.adjusted(0, 0, 0, -distheight - spacing)
distrect = QRect(textrect.bottomLeft() + QPoint(0, spacing),
QSize(rect.width(), distheight))
painter.setPen(QPen(Qt.lightGray, 0.3))
self.drawDistBar(painter, distrect, dist)
painter.restore()
if text:
style.drawItemText(painter, textrect, option.displayAlignment,
option.palette,
option.state & QStyle.State_Enabled, text)
class OWSOM(OWWidget):
name = "Self-Organizing Map"
description = "Computation of self-organizing map."
icon = "icons/SOM.svg"
keywords = ["SOM"]
class Inputs:
data = Input("Data", Table)
class Outputs:
selected_data = Output("Selected Data", Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Table)
settingsHandler = DomainContextHandler()
auto_dimension = Setting(True)
size_x = Setting(10)
size_y = Setting(10)
hexagonal = Setting(1)
initialization = Setting(0)
attr_color = ContextSetting(None)
size_by_instances = Setting(True)
pie_charts = Setting(False)
selection = Setting(None, schema_only=True)
graph_name = "view"
_grid_pen = QPen(QBrush(QColor(224, 224, 224)), 2)
_grid_pen.setCosmetic(True)
OptControls = namedtuple(
"OptControls",
("shape", "auto_dim", "spin_x", "spin_y", "initialization", "start"))
class Warning(OWWidget.Warning):
ignoring_disc_variables = Msg("SOM ignores categorical variables.")
missing_colors = \
Msg("Some data instances have undefined value of '{}'.")
missing_values = \
Msg("{} data instance{} with undefined value(s) {} not shown.")
single_attribute = Msg("Data contains a single numeric column.")
class Error(OWWidget.Error):
no_numeric_variables = Msg("Data contains no numeric columns.")
no_defined_rows = Msg("All rows contain at least one undefined value.")
def __init__(self):
super().__init__()
self.__pending_selection = self.selection
self._optimizer = None
self._optimizer_thread = None
self.stop_optimization = False
self.data = self.cont_x = None
self.cells = self.member_data = None
self.selection = None
self.colors = self.thresholds = self.bin_labels = None
box = gui.vBox(self.controlArea, box="SOM")
shape = gui.comboBox(box,
self,
"",
items=("Hexagonal grid", "Square grid"))
shape.setCurrentIndex(1 - self.hexagonal)
box2 = gui.indentedBox(box, 10)
auto_dim = gui.checkBox(box2,
self,
"auto_dimension",
"Set dimensions automatically",
callback=self.on_auto_dimension_changed)
self.manual_box = box3 = gui.hBox(box2)
spinargs = dict(value="",
widget=box3,
master=self,
minv=5,
maxv=100,
step=5,
alignment=Qt.AlignRight)
spin_x = gui.spin(**spinargs)
spin_x.setValue(self.size_x)
gui.widgetLabel(box3, "×")
spin_y = gui.spin(**spinargs)
spin_y.setValue(self.size_y)
gui.rubber(box3)
self.manual_box.setEnabled(not self.auto_dimension)
initialization = gui.comboBox(box,
self,
"initialization",
items=("Initialize with PCA",
"Random initialization",
"Replicable random"))
start = gui.button(box,
self,
"Restart",
callback=self.restart_som_pressed,
sizePolicy=(QSizePolicy.MinimumExpanding,
QSizePolicy.Fixed))
self.opt_controls = self.OptControls(shape, auto_dim, spin_x, spin_y,
initialization, start)
box = gui.vBox(self.controlArea, "Color")
gui.comboBox(box,
self,
"attr_color",
searchable=True,
callback=self.on_attr_color_change,
model=DomainModel(placeholder="(Same color)",
valid_types=DomainModel.PRIMITIVE))
gui.checkBox(box,
self,
"pie_charts",
label="Show pie charts",
callback=self.on_pie_chart_change)
gui.checkBox(box,
self,
"size_by_instances",
label="Size by number of instances",
callback=self.on_attr_size_change)
gui.rubber(self.controlArea)
self.scene = QGraphicsScene(self)
self.view = SomView(self.scene)
self.view.setMinimumWidth(400)
self.view.setMinimumHeight(400)
self.view.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
self.view.setRenderHint(QPainter.Antialiasing)
self.view.selection_changed.connect(self.on_selection_change)
self.view.selection_moved.connect(self.on_selection_move)
self.view.selection_mark_changed.connect(self.on_selection_mark_change)
self.mainArea.layout().addWidget(self.view)
self.elements = None
self.grid = None
self.grid_cells = None
self.legend = None
@Inputs.data
def set_data(self, data):
def prepare_data():
if len(cont_attrs) < len(attrs):
self.Warning.ignoring_disc_variables()
if len(cont_attrs) == 1:
self.Warning.single_attribute()
x = Table.from_table(Domain(cont_attrs), data).X
if sp.issparse(x):
self.data = data
self.cont_x = x.tocsr()
else:
mask = np.all(np.isfinite(x), axis=1)
if not np.any(mask):
self.Error.no_defined_rows()
else:
if np.all(mask):
self.data = data
self.cont_x = x.copy()
else:
self.data = data[mask]
self.cont_x = x[mask]
self.cont_x -= np.min(self.cont_x, axis=0)[None, :]
sums = np.sum(self.cont_x, axis=0)[None, :]
sums[sums == 0] = 1
self.cont_x /= sums
def set_warnings():
missing = len(data) - len(self.data)
if missing == 1:
self.Warning.missing_values(1, "", "is")
elif missing > 1:
self.Warning.missing_values(missing, "s", "are")
self.stop_optimization_and_wait()
self.closeContext()
self.clear()
self.Error.clear()
self.Warning.clear()
if data is not None:
attrs = data.domain.attributes
cont_attrs = [var for var in attrs if var.is_continuous]
if not cont_attrs:
self.Error.no_numeric_variables()
else:
prepare_data()
if self.data is not None:
self.controls.attr_color.model().set_domain(data.domain)
self.attr_color = data.domain.class_var
set_warnings()
self.openContext(self.data)
self.set_color_bins()
self.create_legend()
self.recompute_dimensions()
self.start_som()
def clear(self):
self.data = self.cont_x = None
self.cells = self.member_data = None
self.attr_color = None
self.colors = self.thresholds = self.bin_labels = None
if self.elements is not None:
self.scene.removeItem(self.elements)
self.elements = None
self.clear_selection()
self.controls.attr_color.model().set_domain(None)
self.Warning.clear()
self.Error.clear()
def recompute_dimensions(self):
if not self.auto_dimension or self.cont_x is None:
return
dim = max(5, int(np.ceil(np.sqrt(5 * np.sqrt(self.cont_x.shape[0])))))
self.opt_controls.spin_x.setValue(dim)
self.opt_controls.spin_y.setValue(dim)
def on_auto_dimension_changed(self):
self.manual_box.setEnabled(not self.auto_dimension)
if self.auto_dimension:
self.recompute_dimensions()
else:
spin_x = self.opt_controls.spin_x
spin_y = self.opt_controls.spin_y
dimx = int(5 * np.round(spin_x.value() / 5))
dimy = int(5 * np.round(spin_y.value() / 5))
spin_x.setValue(dimx)
spin_y.setValue(dimy)
def on_attr_color_change(self):
self.controls.pie_charts.setEnabled(self.attr_color is not None)
self.set_color_bins()
self.create_legend()
self.rescale()
self._redraw()
def on_attr_size_change(self):
self._redraw()
def on_pie_chart_change(self):
self._redraw()
def clear_selection(self):
self.selection = None
self.redraw_selection()
def on_selection_change(self, selection, action=SomView.SelectionSet):
if self.data is None: # clicks on empty canvas
return
if self.selection is None:
self.selection = np.zeros(self.grid_cells.T.shape, dtype=np.int16)
if action == SomView.SelectionSet:
self.selection[:] = 0
self.selection[selection] = 1
elif action == SomView.SelectionAddToGroup:
self.selection[selection] = max(1, np.max(self.selection))
elif action == SomView.SelectionNewGroup:
self.selection[selection] = 1 + np.max(self.selection)
elif action & SomView.SelectionRemove:
self.selection[selection] = 0
self.redraw_selection()
self.update_output()
def on_selection_move(self, event: QKeyEvent):
if self.selection is None or not np.any(self.selection):
if event.key() in (Qt.Key_Right, Qt.Key_Down):
x = y = 0
else:
x = self.size_x - 1
y = self.size_y - 1
else:
x, y = np.nonzero(self.selection)
if len(x) > 1:
return
if event.key() == Qt.Key_Up and y > 0:
y -= 1
if event.key() == Qt.Key_Down and y < self.size_y - 1:
y += 1
if event.key() == Qt.Key_Left and x:
x -= 1
if event.key() == Qt.Key_Right and x < self.size_x - 1:
x += 1
x -= self.hexagonal and x == self.size_x - 1 and y % 2
if self.selection is not None and self.selection[x, y]:
return
selection = np.zeros(self.grid_cells.shape, dtype=bool)
selection[x, y] = True
self.on_selection_change(selection)
def on_selection_mark_change(self, marks):
self.redraw_selection(marks=marks)
def redraw_selection(self, marks=None):
if self.grid_cells is None:
return
sel_pen = QPen(QBrush(QColor(128, 128, 128)), 2)
sel_pen.setCosmetic(True)
mark_pen = QPen(QBrush(QColor(128, 128, 128)), 4)
mark_pen.setCosmetic(True)
pens = [self._grid_pen, sel_pen]
mark_brush = QBrush(QColor(224, 255, 255))
sels = self.selection is not None and np.max(self.selection)
palette = LimitedDiscretePalette(number_of_colors=sels + 1)
brushes = [QBrush(Qt.NoBrush)] + \
[QBrush(palette[i].lighter(165)) for i in range(sels)]
for y in range(self.size_y):
for x in range(self.size_x - (y % 2) * self.hexagonal):
cell = self.grid_cells[y, x]
marked = marks is not None and marks[x, y]
sel_group = self.selection is not None and self.selection[x, y]
if marked:
cell.setBrush(mark_brush)
cell.setPen(mark_pen)
else:
cell.setBrush(brushes[sel_group])
cell.setPen(pens[bool(sel_group)])
cell.setZValue(marked or sel_group)
def restart_som_pressed(self):
if self._optimizer_thread is not None:
self.stop_optimization = True
self._optimizer.stop_optimization = True
else:
self.start_som()
def start_som(self):
self.read_controls()
self.update_layout()
self.clear_selection()
if self.cont_x is not None:
self.enable_controls(False)
self._recompute_som()
else:
self.update_output()
def read_controls(self):
c = self.opt_controls
self.hexagonal = c.shape.currentIndex() == 0
self.size_x = c.spin_x.value()
self.size_y = c.spin_y.value()
def enable_controls(self, enable):
c = self.opt_controls
c.shape.setEnabled(enable)
c.auto_dim.setEnabled(enable)
c.start.setText("Start" if enable else "Stop")
def update_layout(self):
self.set_legend_pos()
if self.elements: # Prevent having redrawn grid but with old elements
self.scene.removeItem(self.elements)
self.elements = None
self.redraw_grid()
self.rescale()
def _redraw(self):
self.Warning.missing_colors.clear()
if self.elements:
self.scene.removeItem(self.elements)
self.elements = None
self.view.set_dimensions(self.size_x, self.size_y, self.hexagonal)
if self.cells is None:
return
sizes = self.cells[:, :, 1] - self.cells[:, :, 0]
sizes = sizes.astype(float)
if not self.size_by_instances:
sizes[sizes != 0] = 0.8
else:
sizes *= 0.8 / np.max(sizes)
self.elements = QGraphicsItemGroup()
self.scene.addItem(self.elements)
if self.attr_color is None:
self._draw_same_color(sizes)
elif self.pie_charts:
self._draw_pie_charts(sizes)
else:
self._draw_colored_circles(sizes)
@property
def _grid_factors(self):
return (0.5, sqrt3_2) if self.hexagonal else (0, 1)
def _draw_same_color(self, sizes):
fx, fy = self._grid_factors
color = QColor(64, 64, 64)
for y in range(self.size_y):
for x in range(self.size_x - self.hexagonal * (y % 2)):
r = sizes[x, y]
n = len(self.get_member_indices(x, y))
if not r:
continue
ellipse = ColoredCircle(r / 2, color, 0)
ellipse.setPos(x + (y % 2) * fx, y * fy)
ellipse.setToolTip(f"{n} instances")
self.elements.addToGroup(ellipse)
def _get_color_column(self):
color_column = \
self.data.get_column_view(self.attr_color)[0].astype(float,
copy=False)
if self.attr_color.is_discrete:
with np.errstate(invalid="ignore"):
int_col = color_column.astype(int)
int_col[np.isnan(color_column)] = len(self.colors)
else:
int_col = np.zeros(len(color_column), dtype=int)
# The following line is unnecessary because rows with missing
# numeric data are excluded. Uncomment it if you change SOM to
# tolerate missing values.
# int_col[np.isnan(color_column)] = len(self.colors)
for i, thresh in enumerate(self.thresholds, start=1):
int_col[color_column >= thresh] = i
return int_col
def _tooltip(self, colors, distribution):
if self.attr_color.is_discrete:
values = self.attr_color.values
else:
values = self._bin_names()
tot = np.sum(distribution)
nbhp = "\N{NON-BREAKING HYPHEN}"
return '<table style="white-space: nowrap">' + "".join(f"""
<tr>
<td>
<font color={color.name()}>■</font>
<b>{escape(val).replace("-", nbhp)}</b>:
</td>
<td>
{n} ({n / tot * 100:.1f} %)
</td>
</tr>
""" for color, val, n in zip(colors, values, distribution) if n) \
+ "</table>"
def _draw_pie_charts(self, sizes):
fx, fy = self._grid_factors
color_column = self._get_color_column()
colors = self.colors.qcolors_w_nan
for y in range(self.size_y):
for x in range(self.size_x - self.hexagonal * (y % 2)):
r = sizes[x, y]
if not r:
self.grid_cells[y, x].setToolTip("")
continue
members = self.get_member_indices(x, y)
color_dist = np.bincount(color_column[members],
minlength=len(colors))
rel_color_dist = color_dist.astype(float) / len(members)
pie = PieChart(rel_color_dist, r / 2, colors)
pie.setToolTip(self._tooltip(colors, color_dist))
self.elements.addToGroup(pie)
pie.setPos(x + (y % 2) * fx, y * fy)
def _draw_colored_circles(self, sizes):
fx, fy = self._grid_factors
color_column = self._get_color_column()
qcolors = self.colors.qcolors_w_nan
for y in range(self.size_y):
for x in range(self.size_x - self.hexagonal * (y % 2)):
r = sizes[x, y]
if not r:
continue
members = self.get_member_indices(x, y)
color_dist = color_column[members]
color_dist = color_dist[color_dist < len(self.colors)]
if len(color_dist) != len(members):
self.Warning.missing_colors(self.attr_color.name)
bc = np.bincount(color_dist, minlength=len(self.colors))
color = qcolors[np.argmax(bc)]
ellipse = ColoredCircle(r / 2, color,
np.max(bc) / len(members))
ellipse.setPos(x + (y % 2) * fx, y * fy)
ellipse.setToolTip(self._tooltip(qcolors, bc))
self.elements.addToGroup(ellipse)
def redraw_grid(self):
if self.grid is not None:
self.scene.removeItem(self.grid)
self.grid = QGraphicsItemGroup()
self.grid.setZValue(-200)
self.grid_cells = np.full((self.size_y, self.size_x), None)
for y in range(self.size_y):
for x in range(self.size_x - (y % 2) * self.hexagonal):
if self.hexagonal:
cell = QGraphicsPathItem(_hexagon_path)
cell.setPos(x + (y % 2) / 2, y * sqrt3_2)
else:
cell = QGraphicsRectItem(x - 0.5, y - 0.5, 1, 1)
self.grid_cells[y, x] = cell
cell.setPen(self._grid_pen)
self.grid.addToGroup(cell)
self.scene.addItem(self.grid)
def get_member_indices(self, x, y):
i, j = self.cells[x, y]
return self.member_data[i:j]
def _recompute_som(self):
if self.cont_x is None:
return
som = SOM(self.size_x,
self.size_y,
hexagonal=self.hexagonal,
pca_init=self.initialization == 0,
random_seed=0 if self.initialization == 2 else None)
class Optimizer(QObject):
update = Signal(float, np.ndarray, np.ndarray)
done = Signal(SOM)
stopped = Signal()
stop_optimization = False
def __init__(self, data, som):
super().__init__()
self.som = som
self.data = data
def callback(self, progress):
self.update.emit(progress, self.som.weights.copy(),
self.som.ssum_weights.copy())
return not self.stop_optimization
def run(self):
try:
self.som.fit(self.data,
N_ITERATIONS,
callback=self.callback)
# Report an exception, but still remove the thread
finally:
self.done.emit(self.som)
self.stopped.emit()
def thread_finished():
self._optimizer = None
self._optimizer_thread = None
self.progressBarInit()
self._optimizer = Optimizer(self.cont_x, som)
self._optimizer_thread = QThread()
self._optimizer_thread.setStackSize(5 * 2**20)
self._optimizer.update.connect(self.__update)
self._optimizer.done.connect(self.__done)
self._optimizer.stopped.connect(self._optimizer_thread.quit)
self._optimizer.moveToThread(self._optimizer_thread)
self._optimizer_thread.started.connect(self._optimizer.run)
self._optimizer_thread.finished.connect(thread_finished)
self.stop_optimization = False
self._optimizer_thread.start()
@Slot(float, object, object)
def __update(self, _progress, weights, ssum_weights):
self.progressBarSet(_progress)
self._assign_instances(weights, ssum_weights)
self._redraw()
@Slot(object)
def __done(self, som):
self.enable_controls(True)
self.progressBarFinished()
self._assign_instances(som.weights, som.ssum_weights)
self._redraw()
# This is the first time we know what was selected (assuming that
# initialization is not set to random)
if self.__pending_selection is not None:
self.on_selection_change(self.__pending_selection)
self.__pending_selection = None
self.update_output()
def stop_optimization_and_wait(self):
if self._optimizer_thread is not None:
self.stop_optimization = True
self._optimizer.stop_optimization = True
self._optimizer_thread.quit()
self._optimizer_thread.wait()
self._optimizer_thread = None
def onDeleteWidget(self):
self.stop_optimization_and_wait()
self.clear()
super().onDeleteWidget()
def _assign_instances(self, weights, ssum_weights):
if self.cont_x is None:
return # the widget is shutting down while signals still processed
assignments = SOM.winner_from_weights(self.cont_x, weights,
ssum_weights, self.hexagonal)
members = defaultdict(list)
for i, (x, y) in enumerate(assignments):
members[(x, y)].append(i)
members.pop(None, None)
self.cells = np.empty((self.size_x, self.size_y, 2), dtype=int)
self.member_data = np.empty(self.cont_x.shape[0], dtype=int)
index = 0
for x in range(self.size_x):
for y in range(self.size_y):
nmembers = len(members[(x, y)])
self.member_data[index:index + nmembers] = members[(x, y)]
self.cells[x, y] = [index, index + nmembers]
index += nmembers
def resizeEvent(self, event):
super().resizeEvent(event)
self.create_legend() # re-wrap lines if necessary
self.rescale()
def rescale(self):
if self.legend:
leg_height = self.legend.boundingRect().height()
leg_extra = 1.5
else:
leg_height = 0
leg_extra = 1
vw, vh = self.view.width(), self.view.height() - leg_height
scale = min(vw / (self.size_x + 1),
vh / ((self.size_y + leg_extra) * self._grid_factors[1]))
self.view.setTransform(QTransform.fromScale(scale, scale))
if self.hexagonal:
self.view.setSceneRect(0, -1, self.size_x - 1,
(self.size_y + leg_extra) * sqrt3_2 +
leg_height / scale)
else:
self.view.setSceneRect(-0.25, -0.25, self.size_x - 0.5,
self.size_y - 0.5 + leg_height / scale)
def update_output(self):
if self.data is None:
self.Outputs.selected_data.send(None)
self.Outputs.annotated_data.send(None)
return
indices = np.zeros(len(self.data), dtype=int)
if self.selection is not None and np.any(self.selection):
for y in range(self.size_y):
for x in range(self.size_x):
rows = self.get_member_indices(x, y)
indices[rows] = self.selection[x, y]
if np.any(indices):
sel_data = create_groups_table(self.data, indices, False, "Group")
self.Outputs.selected_data.send(sel_data)
else:
self.Outputs.selected_data.send(None)
if np.max(indices) > 1:
annotated = create_groups_table(self.data, indices)
else:
annotated = create_annotated_table(self.data,
np.flatnonzero(indices))
self.Outputs.annotated_data.send(annotated)
def set_color_bins(self):
if self.attr_color is None:
self.thresholds = self.bin_labels = self.colors = None
elif self.attr_color.is_discrete:
self.thresholds = self.bin_labels = None
self.colors = self.attr_color.palette
else:
col = self.data.get_column_view(self.attr_color)[0].astype(float)
if self.attr_color.is_time:
binning = time_binnings(col, min_bins=4)[-1]
else:
binning = decimal_binnings(col, min_bins=4)[-1]
self.thresholds = binning.thresholds[1:-1]
self.bin_labels = (binning.labels[1:-1],
binning.short_labels[1:-1])
palette = BinnedContinuousPalette.from_palette(
self.attr_color.palette, binning.thresholds)
self.colors = palette
def create_legend(self):
if self.legend is not None:
self.scene.removeItem(self.legend)
self.legend = None
if self.attr_color is None:
return
if self.attr_color.is_discrete:
names = self.attr_color.values
else:
names = self._bin_names()
items = []
size = 8
for name, color in zip(names, self.colors.qcolors):
item = QGraphicsItemGroup()
item.addToGroup(
CanvasRectangle(None, -size / 2, -size / 2, size, size,
Qt.gray, color))
item.addToGroup(CanvasText(None, name, size, 0, Qt.AlignVCenter))
items.append(item)
self.legend = wrap_legend_items(items,
hspacing=20,
vspacing=16 + size,
max_width=self.view.width() - 25)
self.legend.setFlags(self.legend.ItemIgnoresTransformations)
self.legend.setTransform(
QTransform.fromTranslate(-self.legend.boundingRect().width() / 2,
0))
self.scene.addItem(self.legend)
self.set_legend_pos()
def _bin_names(self):
labels, short_labels = self.bin_labels
return \
[f"< {labels[0]}"] \
+ [f"{x} - {y}" for x, y in zip(labels, short_labels[1:])] \
+ [f"≥ {labels[-1]}"]
def set_legend_pos(self):
if self.legend is None:
return
self.legend.setPos(self.size_x / 2,
(self.size_y + 0.2 + 0.3 * self.hexagonal) *
self._grid_factors[1])
def send_report(self):
self.report_plot()
if self.attr_color:
self.report_caption(
f"Self-organizing map colored by '{self.attr_color.name}'")
def setData(self, data, nsamples, sample_range=None, color=Qt.magenta):
assert np.all(np.isfinite(data))
if data.size > 0:
xmin, xmax = np.min(data), np.max(data)
else:
xmin = xmax = 0.0
if sample_range is None:
xrange = xmax - xmin
sample_min = xmin - xrange * 0.025
sample_max = xmax + xrange * 0.025
else:
sample_min, sample_max = sample_range
sample = np.linspace(sample_min, sample_max, nsamples)
if data.size < 2:
est = np.full(
sample.size,
1. / sample.size,
)
else:
try:
density = stats.gaussian_kde(data)
est = density.evaluate(sample)
except np.linalg.LinAlgError:
est = np.zeros(sample.size)
item = QGraphicsPathItem(violin_shape(sample, est))
color = QColor(color)
color.setAlphaF(0.5)
item.setBrush(QBrush(color))
pen = QPen(self.palette().color(QPalette.Shadow))
pen.setCosmetic(True)
item.setPen(pen)
est_max = np.max(est)
x = np.random.RandomState(0xD06F00D).uniform(-est_max,
est_max,
size=data.size)
dots = ScatterPlotItem(
x=x,
y=data,
size=3,
)
dots.setVisible(self.__dataPointsVisible)
pen = QPen(self.palette().color(QPalette.Shadow), 1)
hoverPen = QPen(self.palette().color(QPalette.Highlight), 1.5)
cmax = SelectionLine(angle=0,
pos=xmax,
movable=True,
bounds=(sample_min, sample_max),
pen=pen,
hoverPen=hoverPen)
cmin = SelectionLine(angle=0,
pos=xmin,
movable=True,
bounds=(sample_min, sample_max),
pen=pen,
hoverPen=hoverPen)
cmax.setCursor(Qt.SizeVerCursor)
cmin.setCursor(Qt.SizeVerCursor)
selection_item = QGraphicsRectItem(
QRectF(-est_max, xmin, est_max * 2, xmax - xmin))
selection_item.setPen(QPen(Qt.NoPen))
selection_item.setBrush(QColor(0, 250, 0, 50))
def update_selection_rect():
mode = self.__selectionMode
p = selection_item.parentItem() # type: Optional[QGraphicsItem]
while p is not None and not isinstance(p, pg.ViewBox):
p = p.parentItem()
if p is not None:
viewbox = p # type: pg.ViewBox
else:
viewbox = None
rect = selection_item.rect() # type: QRectF
if mode & ViolinPlot.High:
rect.setTop(cmax.value())
elif viewbox is not None:
rect.setTop(viewbox.viewRect().bottom())
else:
rect.setTop(cmax.maxRange[1])
if mode & ViolinPlot.Low:
rect.setBottom(cmin.value())
elif viewbox is not None:
rect.setBottom(viewbox.viewRect().top())
else:
rect.setBottom(cmin.maxRange[0])
selection_item.setRect(rect.normalized())
cmax.sigPositionChanged.connect(update_selection_rect)
cmin.sigPositionChanged.connect(update_selection_rect)
cmax.visibleChanged.connect(update_selection_rect)
cmin.visibleChanged.connect(update_selection_rect)
def setupper(line):
ebound = self.__effectiveBoundary()
elower, eupper = ebound
mode = self.__selectionMode
if not mode & ViolinPlot.High:
return
upper = line.value()
lower = min(elower, upper)
if lower != elower and mode & ViolinPlot.Low:
self.__min = lower
cmin.setValue(lower)
if upper != eupper:
self.__max = upper
if ebound != self.__effectiveBoundary():
self.selectionEdited.emit()
self.selectionChanged.emit()
def setlower(line):
ebound = self.__effectiveBoundary()
elower, eupper = ebound
mode = self.__selectionMode
if not mode & ViolinPlot.Low:
return
lower = line.value()
upper = max(eupper, lower)
if upper != eupper and mode & ViolinPlot.High:
self.__max = upper
cmax.setValue(upper)
if lower != elower:
self.__min = lower
if ebound != self.__effectiveBoundary():
self.selectionEdited.emit()
self.selectionChanged.emit()
cmax.sigPositionChanged.connect(setupper)
cmin.sigPositionChanged.connect(setlower)
selmode = self.__selectionMode
cmax.setVisible(selmode & ViolinPlot.High)
cmin.setVisible(selmode & ViolinPlot.Low)
selection_item.setVisible(selmode)
self.addItem(dots)
self.addItem(item)
self.addItem(cmax)
self.addItem(cmin)
self.addItem(selection_item)
self.setRange(
QRectF(-est_max, np.min(sample), est_max * 2, np.ptp(sample)))
self._plotitems = SimpleNamespace(pointsitem=dots,
densityitem=item,
cmax=cmax,
cmin=cmin,
selection_item=selection_item)
self.__min = xmin
self.__max = xmax
def _setup_plot(self):
def merge_averaging():
for curve in curves:
graphics = curve.merge()
curve = graphics.curve
self.plot.addItem(graphics.curve_item)
if self.display_convex_curve:
self.plot.addItem(graphics.hull_item)
if self.display_def_threshold and curve.is_valid:
points = curve.points
ind = np.argmin(np.abs(points.thresholds - 0.5))
item = pg.TextItem(text="{:.3f}".format(
points.thresholds[ind]), )
item.setPos(points.fpr[ind], points.tpr[ind])
self.plot.addItem(item)
hull_curves = [curve.merged.hull for curve in selected]
if hull_curves:
self._rocch = convex_hull(hull_curves)
iso_pen = QPen(QColor(Qt.black), 1)
iso_pen.setCosmetic(True)
self._perf_line = InfiniteLine(pen=iso_pen, antialias=True)
self.plot.addItem(self._perf_line)
return hull_curves
def vertical_averaging():
for curve in curves:
graphics = curve.avg_vertical()
self.plot.addItem(graphics.curve_item)
self.plot.addItem(graphics.confint_item)
return [curve.avg_vertical.hull for curve in selected]
def threshold_averaging():
for curve in curves:
graphics = curve.avg_threshold()
self.plot.addItem(graphics.curve_item)
self.plot.addItem(graphics.confint_item)
return [curve.avg_threshold.hull for curve in selected]
def no_averaging():
for curve in curves:
graphics = curve.folds()
for fold in graphics:
self.plot.addItem(fold.curve_item)
if self.display_convex_curve:
self.plot.addItem(fold.hull_item)
return [fold.hull for curve in selected for fold in curve.folds]
averagings = {
OWROCAnalysis.Merge: merge_averaging,
OWROCAnalysis.Vertical: vertical_averaging,
OWROCAnalysis.Threshold: threshold_averaging,
OWROCAnalysis.NoAveraging: no_averaging
}
target = self.target_index
selected = self.selected_classifiers
curves = [self.plot_curves(target, i) for i in selected]
selected = [self.curve_data(target, i) for i in selected]
hull_curves = averagings[self.roc_averaging]()
if self.display_convex_hull and hull_curves:
hull = convex_hull(hull_curves)
hull_pen = QPen(QColor(200, 200, 200, 100), 2)
hull_pen.setCosmetic(True)
item = self.plot.plot(hull.fpr,
hull.tpr,
pen=hull_pen,
brush=QBrush(QColor(200, 200, 200, 50)),
fillLevel=0)
item.setZValue(-10000)
pen = QPen(QColor(100, 100, 100, 100), 1, Qt.DashLine)
pen.setCosmetic(True)
self.plot.plot([0, 1], [0, 1], pen=pen, antialias=True)
if self.roc_averaging == OWROCAnalysis.Merge:
self._update_perf_line()
warning = ""
if not all(c.is_valid for c in hull_curves):
if any(c.is_valid for c in hull_curves):
warning = "Some ROC curves are undefined"
else:
warning = "All ROC curves are undefined"
self.warning(warning)
def _make_pen(color, width):
p = QPen(color, width)
p.setCosmetic(True)
return p
def pen(self) -> QPen:
return QPen(self._pen)
def __init__(self):
super().__init__()
box = gui.vBox(self.mainArea, True, margin=0)
self.graph = OWScatterPlotGraph(self, box, "ScatterPlot")
box.layout().addWidget(self.graph.plot_widget)
plot = self.graph.plot_widget
axispen = QPen(self.palette().color(QPalette.Text))
axis = plot.getAxis("bottom")
axis.setPen(axispen)
axis = plot.getAxis("left")
axis.setPen(axispen)
self.data = None # Orange.data.Table
self.subset_data = None # Orange.data.Table
self.data_metas_X = None # self.data, where primitive metas are moved to X
self.sql_data = None # Orange.data.sql.table.SqlTable
self.attribute_selection_list = None # list of Orange.data.Variable
self.__timer = QTimer(self, interval=1200)
self.__timer.timeout.connect(self.add_data)
common_options = dict(labelWidth=50,
orientation=Qt.Horizontal,
sendSelectedValue=True,
valueType=str)
box = gui.vBox(self.controlArea, "Axis Data")
dmod = DomainModel
self.xy_model = DomainModel(dmod.MIXED, valid_types=dmod.PRIMITIVE)
self.cb_attr_x = gui.comboBox(box,
self,
"attr_x",
label="Axis x:",
callback=self.update_attr,
model=self.xy_model,
**common_options)
self.cb_attr_y = gui.comboBox(box,
self,
"attr_y",
label="Axis y:",
callback=self.update_attr,
model=self.xy_model,
**common_options)
vizrank_box = gui.hBox(box)
gui.separator(vizrank_box, width=common_options["labelWidth"])
self.vizrank, self.vizrank_button = ScatterPlotVizRank.add_vizrank(
vizrank_box, self, "Find Informative Projections", self.set_attr)
gui.separator(box)
gui.valueSlider(box,
self,
value='graph.jitter_size',
label='Jittering: ',
values=self.jitter_sizes,
callback=self.reset_graph_data,
labelFormat=lambda x: "None"
if x == 0 else ("%.1f %%" if x < 1 else "%d %%") % x)
gui.checkBox(gui.indentedBox(box),
self,
'graph.jitter_continuous',
'Jitter continuous values',
callback=self.reset_graph_data)
self.sampling = gui.auto_commit(self.controlArea,
self,
"auto_sample",
"Sample",
box="Sampling",
callback=self.switch_sampling,
commit=lambda: self.add_data(1))
self.sampling.setVisible(False)
g = self.graph.gui
g.point_properties_box(self.controlArea)
self.models = [self.xy_model] + g.points_models
box = gui.vBox(self.controlArea, "Plot Properties")
g.add_widgets([g.ShowLegend, g.ShowGridLines], box)
gui.checkBox(box,
self,
value='graph.tooltip_shows_all',
label='Show all data on mouse hover')
self.cb_class_density = gui.checkBox(box,
self,
value='graph.class_density',
label='Show class density',
callback=self.update_density)
self.cb_reg_line = gui.checkBox(box,
self,
value='graph.show_reg_line',
label='Show regression line',
callback=self.update_regression_line)
gui.checkBox(box,
self,
'graph.label_only_selected',
'Label only selected points',
callback=self.graph.update_labels)
self.zoom_select_toolbar = g.zoom_select_toolbar(
gui.vBox(self.controlArea, "Zoom/Select"),
nomargin=True,
buttons=[
g.StateButtonsBegin, g.SimpleSelect, g.Pan, g.Zoom,
g.StateButtonsEnd, g.ZoomReset
])
buttons = self.zoom_select_toolbar.buttons
buttons[g.Zoom].clicked.connect(self.graph.zoom_button_clicked)
buttons[g.Pan].clicked.connect(self.graph.pan_button_clicked)
buttons[g.SimpleSelect].clicked.connect(
self.graph.select_button_clicked)
buttons[g.ZoomReset].clicked.connect(self.graph.reset_button_clicked)
self.controlArea.layout().addStretch(100)
self.icons = gui.attributeIconDict
p = self.graph.plot_widget.palette()
self.graph.set_palette(p)
gui.auto_commit(self.controlArea, self, "auto_send_selection",
"Send Selection", "Send Automatically")
def zoom(s):
"""Zoom in/out by factor `s`."""
viewbox = plot.getViewBox()
# scaleBy scales the view's bounds (the axis range)
viewbox.scaleBy((1 / s, 1 / s))
def fit_to_view():
viewbox = plot.getViewBox()
viewbox.autoRange()
zoom_in = QAction("Zoom in", self, triggered=lambda: zoom(1.25))
zoom_in.setShortcuts([
QKeySequence(QKeySequence.ZoomIn),
QKeySequence(self.tr("Ctrl+="))
])
zoom_out = QAction("Zoom out",
self,
shortcut=QKeySequence.ZoomOut,
triggered=lambda: zoom(1 / 1.25))
zoom_fit = QAction("Fit in view",
self,
shortcut=QKeySequence(Qt.ControlModifier
| Qt.Key_0),
triggered=fit_to_view)
self.addActions([zoom_in, zoom_out, zoom_fit])
def __init__(self, pen = QPen(Qt.black), brush = QBrush(Qt.white), xData = None, yData = None, tooltip = None):
OWCurve.__init__(self, xData, yData, tooltip=tooltip)
self.set_pen(pen)
self.set_brush(brush)
self._item = QGraphicsRectItem(self)
def framePen(self):
# type: () -> QPen
"""Return the frame pen.
"""
return QPen(self.__framePen)
def setPen(self, pen):
pen = QPen(pen)
if self.__pen != pen:
self.__pen = pen
for item in self.__items:
item.setPen(pen)
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)
_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 = 1
self.scene_min_x = self.scene_max_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.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)
gui.hBox(self.mainArea, addSpace=False)
self.stat_test = ""
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.stat_test = ""
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()
self.draw_stat()
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.stat_test = ""
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
n = len(self.dataset)
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}, N={n})"
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}, N={n})"
self.stat_test = t
def mean_label(self, stat, attr, val_name):
label = QGraphicsItemGroup()
t = QGraphicsSimpleTextItem(attr.str_val(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_max_x = gtop * scale_x
self.scene_width = self.scene_max_x - self.scene_min_x
val = first_val
last_text = self.scene_min_x
while True:
l = self.box_scene.addLine(val * scale_x, -1, val * scale_x, 1,
self._pen_axis_tick)
l.setZValue(100)
t = QGraphicsSimpleTextItem(
self.attribute.str_val(val) if not misssing_stats else "?")
t.setFont(self._axis_font)
t.setFlag(QGraphicsItem.ItemIgnoresTransformations)
r = t.boundingRect()
x_start = val * scale_x - r.width() / 2
x_finish = x_start + r.width()
if x_start > last_text + 10 and x_finish < self.scene_max_x:
t.setPos(x_start, 8)
self.box_scene.addItem(t)
last_text = x_finish
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_stat(self):
if self.stat_test:
label = QGraphicsSimpleTextItem(self.stat_test)
label.setPos((self.scene_min_x + self.scene_max_x)/2 - label.boundingRect().width()/2,
8 + self._axis_font.pixelSize()*2)
label.setFlag(QGraphicsItem.ItemIgnoresTransformations)
self.box_scene.addItem(label)
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(attr.str_val(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, 0)
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 __setup(self):
# Setup the subwidgets/groups/layout
smax = max(
(np.nanmax(g.scores) for g in self.__groups if g.scores.size),
default=1)
smax = 1 if np.isnan(smax) else smax
smin = min(
(np.nanmin(g.scores) for g in self.__groups if g.scores.size),
default=-1)
smin = -1 if np.isnan(smin) else smin
smin = min(smin, 0)
font = self.font()
font.setPixelSize(self.__barHeight)
axispen = QPen(Qt.black)
ax = pg.AxisItem(parent=self,
orientation="top",
maxTickLength=7,
pen=axispen)
ax.setRange(smin, smax)
self.__topScale = ax
layout = self.__layout
assert layout is self.layout()
layout.addItem(ax, 0, 2)
for i, group in enumerate(self.__groups):
silhouettegroup = BarPlotItem(parent=self)
silhouettegroup.setBrush(QBrush(QColor(*group.color)))
silhouettegroup.setPen(self.__pen)
silhouettegroup.setDataRange(smin, smax)
silhouettegroup.setPlotData(group.scores)
silhouettegroup.setPreferredBarSize(self.__barHeight)
silhouettegroup.setData(0, group.indices)
layout.addItem(silhouettegroup, i + 1, 2)
if group.label:
layout.addItem(Line(orientation=Qt.Vertical), i + 1, 1)
label = QGraphicsSimpleTextItem(
"{} ({})".format(group.label, len(group.scores)), self)
label.setRotation(-90)
item = SimpleLayoutItem(
label,
anchor=(0., 1.0),
anchorItem=(0., 0.),
)
item.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
layout.addItem(item, i + 1, 0, Qt.AlignCenter)
textlist = TextListWidget(self, font=font)
sp = textlist.sizePolicy()
sp.setVerticalPolicy(QSizePolicy.Ignored)
textlist.setSizePolicy(sp)
textlist.setParent(self)
if group.rownames is not None:
textlist.setItems(group.items)
textlist.setVisible(self.__rowNamesVisible)
else:
textlist.setVisible(False)
layout.addItem(textlist, i + 1, 3)
ax = pg.AxisItem(parent=self,
orientation="bottom",
maxTickLength=7,
pen=axispen)
ax.setRange(smin, smax)
self.__bottomScale = ax
layout.addItem(ax, len(self.__groups) + 1, 2)
def __init__(self):
super().__init__()
self.data = None
self.distributions = None
self.contingencies = None
self.var = self.cvar = None
varbox = gui.vBox(self.controlArea, "变量")
self.varmodel = itemmodels.VariableListModel()
self.groupvarmodel = []
self.varview = QListView(
selectionMode=QListView.SingleSelection,
uniformItemSizes=True,
)
self.varview.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Expanding)
self.varview.setModel(self.varmodel)
self.varview.setSelectionModel(
itemmodels.ListSingleSelectionModel(self.varmodel))
self.varview.selectionModel().selectionChanged.connect(
self._on_variable_idx_changed)
varbox.layout().addWidget(self.varview)
box = gui.vBox(self.controlArea, "精度")
gui.separator(self.controlArea, 4, 4)
box2 = gui.hBox(box)
self.l_smoothing_l = gui.widgetLabel(box2, "Smooth")
gui.hSlider(box2,
self,
"smoothing_index",
minValue=0,
maxValue=len(self.smoothing_facs) - 1,
callback=self._on_set_smoothing,
createLabel=False)
self.l_smoothing_r = gui.widgetLabel(box2, "Precise")
gui.checkBox(gui.indentedBox(box, sep=4),
self,
"disc_cont",
"数字变量容器",
callback=self._on_groupvar_idx_changed,
tooltip="将数字变量显示为类别变量。")
box = gui.vBox(self.controlArea, "分组")
self.icons = gui.attributeIconDict
gui.comboBox(box,
self,
"groupvar_idx",
callback=self._on_groupvar_idx_changed,
valueType=str,
contentsLength=12)
box2 = gui.indentedBox(box, sep=4)
gui.checkBox(box2,
self,
"relative_freq",
"显示相对频率",
callback=self._on_relative_freq_changed,
tooltip="Normalize probabilities so that probabilities "
"for each group-by value sum to 1.")
gui.separator(box2)
gui.comboBox(
box2,
self,
"show_prob",
label="显示概率:",
orientation=Qt.Horizontal,
callback=self._on_relative_freq_changed,
tooltip="Show probabilities for a chosen group-by value "
"(at each point probabilities for all group-by values sum to 1).")
self.plotview = pg.PlotWidget(background=None)
self.plotview.setRenderHint(QPainter.Antialiasing)
self.mainArea.layout().addWidget(self.plotview)
w = QLabel()
w.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
self.mainArea.layout().addWidget(w, Qt.AlignCenter)
self.ploti = pg.PlotItem()
self.plot = self.ploti.vb
self.ploti.hideButtons()
self.plotview.setCentralItem(self.ploti)
self.plot_prob = pg.ViewBox()
self.ploti.hideAxis('right')
self.ploti.scene().addItem(self.plot_prob)
self.ploti.getAxis("right").linkToView(self.plot_prob)
self.ploti.getAxis("right").setLabel("Probability")
self.plot_prob.setZValue(10)
self.plot_prob.setXLink(self.ploti)
self.update_views()
self.ploti.vb.sigResized.connect(self.update_views)
self.plot_prob.setRange(yRange=[0, 1])
def disable_mouse(plot):
plot.setMouseEnabled(False, False)
plot.setMenuEnabled(False)
disable_mouse(self.plot)
disable_mouse(self.plot_prob)
self.tooltip_items = []
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
pen = QPen(self.palette().color(QPalette.Text))
for axis in ("left", "bottom"):
self.ploti.getAxis(axis).setPen(pen)
self._legend = LegendItem()
self._legend.setParentItem(self.plot)
self._legend.hide()
self._legend.anchor((1, 0), (1, 0))
def __init__(self, *args):
QGraphicsEllipseItem.__init__(self, *args)
self.setRect(-3.5, -3.5, 7., 7.)
self.setPen(QPen(Qt.NoPen))
self.setBrush(QBrush(QColor("#9CACB4")))
self.__hover = False
def display_contingency(self):
"""
Set the contingency to display.
"""
cont = self.contingencies
var, cvar = self.var, self.cvar
if cont is None or not len(cont):
return
self.plot.clear()
self.plot_prob.clear()
self._legend.clear()
self.tooltip_items = []
if self.show_prob:
self.ploti.showAxis('right')
else:
self.ploti.hideAxis('right')
bottomaxis = self.ploti.getAxis("bottom")
bottomaxis.setLabel(var.name)
bottomaxis.resizeEvent()
cvar_values = cvar.values
colors = [QColor(*col) for col in cvar.colors]
if var and var.is_continuous:
bottomaxis.setTicks(None)
weights, cols, cvar_values, curves = [], [], [], []
for i, dist in enumerate(cont):
v, W = dist
if len(v):
weights.append(numpy.sum(W))
cols.append(colors[i])
cvar_values.append(cvar.values[i])
curves.append(
ash_curve(dist,
cont,
m=OWDistributions.ASH_HIST,
smoothing_factor=self.smoothing_factor))
weights = numpy.array(weights)
sumw = numpy.sum(weights)
weights /= sumw
colors = cols
curves = [(X, Y * w) for (X, Y), w in zip(curves, weights)]
curvesline = [] #from histograms to lines
for X, Y in curves:
X = X + (X[1] - X[0]) / 2
X = X[:-1]
X = numpy.array(X)
Y = numpy.array(Y)
curvesline.append((X, Y))
for t in ["fill", "line"]:
curve_data = list(zip(curvesline, colors, weights,
cvar_values))
for (X, Y), color, w, cval in reversed(curve_data):
item = pg.PlotCurveItem()
pen = QPen(QBrush(color), 3)
pen.setCosmetic(True)
color = QColor(color)
color.setAlphaF(0.2)
item.setData(X,
Y / (w if self.relative_freq else 1),
antialias=True,
stepMode=False,
fillLevel=0 if t == "fill" else None,
brush=QBrush(color),
pen=pen)
self.plot.addItem(item)
if t == "line":
item.tooltip = "{}\n{}={}".format(
"Normalized density " if self.relative_freq else
"Density ", cvar.name, cval)
self.tooltip_items.append((self.plot, item))
if self.show_prob:
all_X = numpy.array(
numpy.unique(numpy.hstack([X for X, _ in curvesline])))
inter_X = numpy.array(
numpy.linspace(all_X[0], all_X[-1],
len(all_X) * 2))
curvesinterp = [
numpy.interp(inter_X, X, Y) for (X, Y) in curvesline
]
sumprob = numpy.sum(curvesinterp, axis=0)
legal = sumprob > 0.05 * numpy.max(sumprob)
i = len(curvesinterp) + 1
show_all = self.show_prob == i
for Y, color, cval in reversed(
list(zip(curvesinterp, colors, cvar_values))):
i -= 1
if show_all or self.show_prob == i:
item = pg.PlotCurveItem()
pen = QPen(QBrush(color), 3, style=Qt.DotLine)
pen.setCosmetic(True)
prob = Y[legal] / sumprob[legal]
item.setData(inter_X[legal],
prob,
antialias=True,
stepMode=False,
fillLevel=None,
brush=None,
pen=pen)
self.plot_prob.addItem(item)
item.tooltip = "Probability that \n" + cvar.name + "=" + cval
self.tooltip_items.append((self.plot_prob, item))
elif var and var.is_discrete:
bottomaxis.setTicks([list(enumerate(var.values))])
cont = numpy.array(cont)
maxh = 0 #maximal column height
maxrh = 0 #maximal relative column height
scvar = cont.sum(axis=1)
#a cvar with sum=0 with allways have distribution counts 0,
#therefore we can divide it by anything
scvar[scvar == 0] = 1
for i, (value, dist) in enumerate(zip(var.values, cont.T)):
maxh = max(maxh, max(dist))
maxrh = max(maxrh, max(dist / scvar))
for i, (value, dist) in enumerate(zip(var.values, cont.T)):
dsum = sum(dist)
geom = QRectF(i - 0.333, 0, 0.666,
maxrh if self.relative_freq else maxh)
if self.show_prob:
prob = dist / dsum
ci = 1.96 * numpy.sqrt(prob * (1 - prob) / dsum)
else:
ci = None
item = DistributionBarItem(
geom, dist / scvar /
maxrh if self.relative_freq else dist / maxh, colors)
self.plot.addItem(item)
tooltip = "\n".join("%s: %.*f" %
(n, 3 if self.relative_freq else 1, v)
for n, v in zip(
cvar_values, dist /
scvar if self.relative_freq else dist))
item.tooltip = "{} ({}={}):\n{}".format(
"Normalized frequency " if self.relative_freq else
"Frequency ", cvar.name, value, tooltip)
self.tooltip_items.append((self.plot, item))
if self.show_prob:
item.tooltip += "\n\nProbabilities:"
for ic, a in enumerate(dist):
if self.show_prob - 1 != ic and \
self.show_prob - 1 != len(dist):
continue
position = -0.333 + ((ic + 0.5) * 0.666 / len(dist))
if dsum < 1e-6:
continue
prob = a / dsum
if not 1e-6 < prob < 1 - 1e-6:
continue
ci = 1.96 * sqrt(prob * (1 - prob) / dsum)
item.tooltip += "\n%s: %.3f ± %.3f" % (cvar_values[ic],
prob, ci)
mark = pg.ScatterPlotItem()
errorbar = pg.ErrorBarItem()
pen = QPen(QBrush(QColor(0)), 1)
pen.setCosmetic(True)
errorbar.setData(x=[i + position],
y=[prob],
bottom=min(numpy.array([ci]), prob),
top=min(numpy.array([ci]), 1 - prob),
beam=numpy.array([0.05]),
brush=QColor(1),
pen=pen)
mark.setData([i + position], [prob],
antialias=True,
symbol="o",
fillLevel=None,
pxMode=True,
size=10,
brush=QColor(colors[ic]),
pen=pen)
self.plot_prob.addItem(errorbar)
self.plot_prob.addItem(mark)
for color, name in zip(colors, cvar_values):
self._legend.addItem(
ScatterPlotItem(pen=color, brush=color, size=10, shape="s"),
escape(name))
self._legend.show()
def setupGraphics(self):
"""
Set up the graphics.
"""
shape_rect = QRectF(-24, -24, 48, 48)
self.shapeItem = NodeBodyItem(self)
self.shapeItem.setShapeRect(shape_rect)
self.shapeItem.setAnimationEnabled(self.__animationEnabled)
# Rect for widget's 'ears'.
anchor_rect = QRectF(-31, -31, 62, 62)
self.inputAnchorItem = SinkAnchorItem(self)
input_path = QPainterPath()
start_angle = 180 - self.ANCHOR_SPAN_ANGLE / 2
input_path.arcMoveTo(anchor_rect, start_angle)
input_path.arcTo(anchor_rect, start_angle, self.ANCHOR_SPAN_ANGLE)
self.inputAnchorItem.setAnchorPath(input_path)
self.outputAnchorItem = SourceAnchorItem(self)
output_path = QPainterPath()
start_angle = self.ANCHOR_SPAN_ANGLE / 2
output_path.arcMoveTo(anchor_rect, start_angle)
output_path.arcTo(anchor_rect, start_angle, -self.ANCHOR_SPAN_ANGLE)
self.outputAnchorItem.setAnchorPath(output_path)
self.inputAnchorItem.hide()
self.outputAnchorItem.hide()
# Title caption item
self.captionTextItem = NameTextItem(self)
self.captionTextItem.setPlainText("")
self.captionTextItem.setPos(0, 33)
def iconItem(standard_pixmap):
item = GraphicsIconItem(self,
icon=standard_icon(standard_pixmap),
iconSize=QSize(16, 16))
item.hide()
return item
self.errorItem = iconItem(QStyle.SP_MessageBoxCritical)
self.warningItem = iconItem(QStyle.SP_MessageBoxWarning)
self.infoItem = iconItem(QStyle.SP_MessageBoxInformation)
self.backgroundItem = QGraphicsPathItem(self)
backgroundrect = QPainterPath()
backgroundrect.addRoundedRect(anchor_rect.adjusted(-4, -2, 4, 2),
5,
5,
mode=Qt.AbsoluteSize)
self.backgroundItem.setPen(QPen(Qt.NoPen))
self.backgroundItem.setBrush(QPalette().brush(QPalette.Highlight))
self.backgroundItem.setOpacity(0.5)
self.backgroundItem.setPath(backgroundrect)
self.backgroundItem.setZValue(-10)
self.backgroundItem.setVisible(self.isSelected())
self.prepareGeometryChange()
self.__boundingRect = None
def __init__(self):
super().__init__()
self.results = None
self.classifier_names = []
self.perf_line = None
self.colors = []
self._curve_data = {}
self._plot_curves = {}
self._rocch = None
self._perf_line = None
self._tooltip_cache = None
box = gui.vBox(self.controlArea, "Plot")
self.target_cb = gui.comboBox(box,
self,
"target_index",
label="Target",
orientation=Qt.Horizontal,
callback=self._on_target_changed,
contentsLength=8,
searchable=True)
gui.widgetLabel(box, "Classifiers")
line_height = 4 * QFontMetrics(self.font()).lineSpacing()
self.classifiers_list_box = gui.listBox(
box,
self,
"selected_classifiers",
"classifier_names",
selectionMode=QListView.MultiSelection,
callback=self._on_classifiers_changed,
sizeHint=QSize(0, line_height))
abox = gui.vBox(self.controlArea, "Curves")
gui.comboBox(abox,
self,
"roc_averaging",
items=[
"Merge Predictions from Folds", "Mean TP Rate",
"Mean TP and FP at Threshold",
"Show Individual Curves"
],
callback=self._replot)
gui.checkBox(abox,
self,
"display_convex_curve",
"Show convex ROC curves",
callback=self._replot)
gui.checkBox(abox,
self,
"display_convex_hull",
"Show ROC convex hull",
callback=self._replot)
box = gui.vBox(self.controlArea, "Analysis")
gui.checkBox(box,
self,
"display_def_threshold",
"Default threshold (0.5) point",
callback=self._on_display_def_threshold_changed)
gui.checkBox(box,
self,
"display_perf_line",
"Show performance line",
callback=self._on_display_perf_line_changed)
grid = QGridLayout()
gui.indentedBox(box, orientation=grid)
sp = gui.spin(box,
self,
"fp_cost",
1,
1000,
10,
alignment=Qt.AlignRight,
callback=self._on_display_perf_line_changed)
grid.addWidget(QLabel("FP Cost:"), 0, 0)
grid.addWidget(sp, 0, 1)
sp = gui.spin(box,
self,
"fn_cost",
1,
1000,
10,
alignment=Qt.AlignRight,
callback=self._on_display_perf_line_changed)
grid.addWidget(QLabel("FN Cost:"))
grid.addWidget(sp, 1, 1)
self.target_prior_sp = gui.spin(box,
self,
"target_prior",
1,
99,
alignment=Qt.AlignRight,
callback=self._on_target_prior_changed)
self.target_prior_sp.setSuffix(" %")
self.target_prior_sp.addAction(QAction("Auto", sp))
grid.addWidget(QLabel("Prior probability:"))
grid.addWidget(self.target_prior_sp, 2, 1)
self.plotview = pg.GraphicsView(background="w")
self.plotview.setFrameStyle(QFrame.StyledPanel)
self.plotview.scene().sigMouseMoved.connect(self._on_mouse_moved)
self.plot = pg.PlotItem(enableMenu=False)
self.plot.setMouseEnabled(False, False)
self.plot.hideButtons()
pen = QPen(self.palette().color(QPalette.Text))
tickfont = QFont(self.font())
tickfont.setPixelSize(max(int(tickfont.pixelSize() * 2 // 3), 11))
axis = self.plot.getAxis("bottom")
axis.setTickFont(tickfont)
axis.setPen(pen)
axis.setLabel("FP Rate (1-Specificity)")
axis = self.plot.getAxis("left")
axis.setTickFont(tickfont)
axis.setPen(pen)
axis.setLabel("TP Rate (Sensitivity)")
self.plot.showGrid(True, True, alpha=0.1)
self.plot.setRange(xRange=(0.0, 1.0), yRange=(0.0, 1.0), padding=0.05)
self.plotview.setCentralItem(self.plot)
self.mainArea.layout().addWidget(self.plotview)
def update_selection_rects(self):
for i, (_, _, area) in enumerate(self.areas):
if i in self.selection:
area.setPen(QPen(Qt.black, 3, Qt.DotLine))
else:
area.setPen(QPen())
def itemChange(self, change, value):
if change == QGraphicsItem.ItemSelectedHasChanged:
self.setPen(QPen(Qt.red if self.isSelected() else Qt.blue, 2))
return QGraphicsPathItem.itemChange(self, change, value)
