def _draw_border(point_1, point_2, border_width, parent):
pen = QPen(QColor(self.border_color))
pen.setCosmetic(True)
pen.setWidth(border_width)
line = QGraphicsLineItem(QLineF(point_1, point_2), parent)
line.setPen(pen)
return line
def _anchor_circle(self):
# minimum visible anchor radius (radius)
minradius = self.radius / 100 + 1e-5
for item in chain(self.plotdata.anchoritem, self.plotdata.items):
self.viewbox.removeItem(item)
self.plotdata.anchoritem = []
self.plotdata.items = []
for anchor, var in zip(self.plotdata.anchors, self.data.domain.attributes):
if True or np.linalg.norm(anchor) > minradius:
axitem = AnchorItem(
line=QLineF(0, 0, *anchor), text=var.name,)
axitem.setVisible(np.linalg.norm(anchor) > minradius)
axitem.setPen(pg.mkPen((100, 100, 100)))
axitem.setArrowVisible(True)
self.plotdata.anchoritem.append(axitem)
self.viewbox.addItem(axitem)
hidecircle = QGraphicsEllipseItem()
hidecircle.setRect(
QRectF(-minradius, -minradius,
2 * minradius, 2 * minradius))
_pen = QPen(Qt.lightGray, 1)
_pen.setCosmetic(True)
hidecircle.setPen(_pen)
self.viewbox.addItem(hidecircle)
self.plotdata.items.append(hidecircle)
self.plotdata.hidecircle = hidecircle
def __init__(self, source, dest):
super().__init__()
self.setAcceptedMouseButtons(Qt.LeftButton)
self.setCacheMode(self.DeviceCoordinateCache) # Without this, burn thy CPU
self.setZValue(1)
pen = QPen(Edge.Color.DEFAULT[0], 1)
pen.setJoinStyle(Qt.MiterJoin)
self.setPen(pen)
self.arrowHead = QPolygonF()
self._selected = False
self._weights = []
self._labels = []
self.squares = GroupOfSquares(self)
self.source = source
self.dest = dest
if source is dest:
source.edges.append(self)
else:
source.edges.insert(0, self)
dest.edges.insert(0, self)
# Add text labels
label = self.label = TextItem('', self)
label.setFont(Edge.Font.DEFAULT)
label.setZValue(3)
self.adjust()
def __init__(self, tree_node, parent=None, **kwargs):
self.tree_node = tree_node
super().__init__(self._get_rect_attributes(), parent)
self.tree_node.graphics_item = self
self.setTransformOriginPoint(self.boundingRect().center())
self.setRotation(degrees(self.tree_node.square.angle))
self.setBrush(kwargs.get('brush', QColor('#297A1F')))
# The border should be invariant to scaling
pen = QPen(QColor(Qt.black))
pen.setWidthF(0.75)
pen.setCosmetic(True)
self.setPen(pen)
self.setAcceptHoverEvents(True)
self.setZValue(kwargs.get('zvalue', 0))
self.z_step = Z_STEP
# calculate the correct z values based on the parent
if self.tree_node.parent != TreeAdapter.ROOT_PARENT:
p = self.tree_node.parent
# override root z step
num_children = len(p.children)
own_index = [1 if c.label == self.tree_node.label else 0
for c in p.children].index(1)
self.z_step = int(p.graphics_item.z_step / num_children)
base_z = p.graphics_item.zValue()
self.setZValue(base_z + own_index * self.z_step)
def _anchor_circle(self, variables):
# minimum visible anchor radius (radius)
min_radius = self._get_min_radius()
axisitems = []
for anchor, var in zip(self.plotdata.axes, variables[:]):
axitem = AnchorItem(line=QLineF(0, 0, *anchor), text=var.name,)
axitem.setVisible(np.linalg.norm(anchor) > min_radius)
axitem.setPen(pg.mkPen((100, 100, 100)))
axitem.setArrowVisible(True)
self.viewbox.addItem(axitem)
axisitems.append(axitem)
self.plotdata.axisitems = axisitems
if self.placement == self.Placement.Circular:
return
hidecircle = QGraphicsEllipseItem()
hidecircle.setRect(QRectF(-min_radius, -min_radius, 2 * min_radius, 2 * min_radius))
_pen = QPen(Qt.lightGray, 1)
_pen.setCosmetic(True)
hidecircle.setPen(_pen)
self.viewbox.addItem(hidecircle)
self.plotdata.hidecircle = hidecircle
def mouseMoveEvent(self, event):
if event.buttons() & Qt.LeftButton:
downPos = event.buttonDownPos(Qt.LeftButton)
if not self.__tmpLine and self.__dragStartItem and \
(downPos - event.pos()).manhattanLength() > \
QApplication.instance().startDragDistance():
# Start a line drag
line = QGraphicsLineItem(self)
start = self.__dragStartItem.boundingRect().center()
start = self.mapFromItem(self.__dragStartItem, start)
line.setLine(start.x(), start.y(),
event.pos().x(), event.pos().y())
pen = QPen(Qt.black, 4)
pen.setCapStyle(Qt.RoundCap)
line.setPen(pen)
line.show()
self.__tmpLine = line
if self.__tmpLine:
# Update the temp line
line = self.__tmpLine.line()
line.setP2(event.pos())
self.__tmpLine.setLine(line)
QGraphicsWidget.mouseMoveEvent(self, event)
def paint(self, painter, option, widget=None):
painter.save()
palette = self.palette()
border = palette.brush(QPalette.Mid)
pen = QPen(border, 1)
pen.setCosmetic(True)
painter.setPen(pen)
painter.setBrush(palette.brush(QPalette.Window))
brect = self.boundingRect()
painter.drawRoundedRect(brect, 4, 4)
painter.restore()
class LinkLineItem(QGraphicsLineItem):
"""
A line connecting two Channel Anchors.
"""
def __init__(self, parent=None):
QGraphicsLineItem.__init__(self, parent)
self.setAcceptHoverEvents(True)
self.__shape = None
self.__default_pen = QPen(QColor('#383838'), 4)
self.__default_pen.setCapStyle(Qt.RoundCap)
self.__hover_pen = QPen(QColor('#000000'), 4)
self.__hover_pen.setCapStyle(Qt.RoundCap)
self.setPen(self.__default_pen)
self.__shadow = QGraphicsDropShadowEffect(
blurRadius=10, color=QColor('#9CACB4'),
offset=QPointF(0, 0)
)
self.setGraphicsEffect(self.__shadow)
self.prepareGeometryChange()
self.__shadow.setEnabled(False)
def setLine(self, *args, **kwargs):
super().setLine(*args, **kwargs)
# extends mouse hit area
stroke_path = QPainterPathStroker()
stroke_path.setCapStyle(Qt.RoundCap)
stroke_path.setWidth(10)
self.__shape = stroke_path.createStroke(super().shape())
def shape(self):
if self.__shape is None:
return QGraphicsLineItem.shape(self)
return self.__shape
def hoverEnterEvent(self, event):
self.prepareGeometryChange()
self.__shadow.setEnabled(True)
self.setPen(self.__hover_pen)
self.setZValue(1.0)
QGraphicsLineItem.hoverEnterEvent(self, event)
def hoverLeaveEvent(self, event):
self.prepareGeometryChange()
self.__shadow.setEnabled(False)
self.setPen(self.__default_pen)
self.setZValue(0.0)
QGraphicsLineItem.hoverLeaveEvent(self, event)
def show_pearson(rect, pearson, pen_width):
"""
Color the given rectangle according to its corresponding
standardized Pearson residual.
Args:
rect (QRect): the rectangle being drawn
pearson (float): signed standardized pearson residual
pen_width (int): pen width (bolder pen is used for selection)
"""
r = rect.rect()
x, y, w, h = r.x(), r.y(), r.width(), r.height()
if w == 0 or h == 0:
return
r = b = 255
if pearson > 0:
r = g = max(255 - 20 * pearson, 55)
elif pearson < 0:
b = g = max(255 + 20 * pearson, 55)
else:
r = g = b = 224
rect.setBrush(QBrush(QColor(r, g, b)))
pen_color = QColor(255 * (r == 255), 255 * (g == 255),
255 * (b == 255))
pen = QPen(pen_color, pen_width)
rect.setPen(pen)
if pearson > 0:
pearson = min(pearson, 10)
dist = 20 - 1.6 * pearson
else:
pearson = max(pearson, -10)
dist = 20 - 8 * pearson
pen.setWidth(1)
def _offseted_line(ax, ay):
r = QGraphicsLineItem(x + ax, y + ay, x + (ax or w),
y + (ay or h))
self.canvas.addItem(r)
r.setPen(pen)
ax = dist
while ax < w:
_offseted_line(ax, 0)
ax += dist
ay = dist
while ay < h:
_offseted_line(0, ay)
ay += dist
def __updatePen(self):
self.prepareGeometryChange()
self.__boundingRect = None
if self.__dynamic:
if self.__dynamicEnabled:
color = QColor(0, 150, 0, 150)
else:
color = QColor(150, 0, 0, 150)
normal = QPen(QBrush(color), 2.0)
hover = QPen(QBrush(color.darker(120)), 2.1)
else:
normal = QPen(QBrush(QColor("#9CACB4")), 2.0)
hover = QPen(QBrush(QColor("#7D7D7D")), 2.1)
if self.__state & LinkItem.Empty:
pen_style = Qt.DashLine
else:
pen_style = Qt.SolidLine
normal.setStyle(pen_style)
hover.setStyle(pen_style)
if self.hover:
pen = hover
else:
pen = normal
self.curveItem.setPen(pen)
def _setup_plot(self):
target = self.target_index
selected = self.selected_classifiers
curves = [self.plot_curves(target, clf_idx) for clf_idx in selected]
for curve in curves:
self.plot.addItem(curve.curve_item)
if self.display_convex_hull:
hull = convex_hull([c.curve.hull for c in curves])
self.plot.plot(hull[0], hull[1], pen="y", antialias=True)
pen = QPen(QColor(100, 100, 100, 100), 1, Qt.DashLine)
pen.setCosmetic(True)
self.plot.plot([0, 1], [0, 1], pen=pen, antialias=True)
def __init__(self, size=None, offset=None, pen=None, brush=None):
super().__init__(size, offset)
self.layout.setContentsMargins(5, 5, 5, 5)
self.layout.setHorizontalSpacing(15)
self.layout.setColumnAlignment(1, Qt.AlignLeft | Qt.AlignVCenter)
if pen is None:
pen = QPen(QColor(196, 197, 193, 200), 1)
pen.setCosmetic(True)
self.__pen = pen
if brush is None:
brush = QBrush(QColor(232, 232, 232, 100))
self.__brush = brush
def create_main_nomogram(self, attributes, attr_inds, name_items, points,
max_width, point_text, name_offset):
cls_index = self.target_class_index
min_p = min(p.min() for p in points)
max_p = max(p.max() for p in points)
values = self.get_ruler_values(min_p, max_p, max_width)
min_p, max_p = min(values), max(values)
diff_ = np.nan_to_num(max_p - min_p)
scale_x = max_width / diff_ if diff_ else max_width
nomogram_header = NomogramItem()
point_item = RulerItem(point_text, values, scale_x, name_offset,
- scale_x * min_p)
point_item.setPreferredSize(point_item.preferredWidth(), 35)
nomogram_header.add_items([point_item])
self.nomogram_main = NomogramItem()
cont_feature_item_class = ContinuousFeature2DItem if \
self.cont_feature_dim_index else ContinuousFeatureItem
feature_items = [
DiscreteFeatureItem(
name_item, attr.values, point,
scale_x, name_offset, - scale_x * min_p)
if attr.is_discrete else
cont_feature_item_class(
name_item, self.log_reg_cont_data_extremes[i][cls_index],
self.get_ruler_values(
point.min(), point.max(),
scale_x * point.ptp(), False),
scale_x, name_offset, - scale_x * min_p)
for i, attr, name_item, point in zip(attr_inds, attributes, name_items, points)]
self.nomogram_main.add_items(feature_items)
self.feature_items = OrderedDict(sorted(zip(attr_inds, feature_items)))
x = - scale_x * min_p
y = self.nomogram_main.layout().preferredHeight() + 10
self.vertical_line = QGraphicsLineItem(x, -6, x, y)
self.vertical_line.setPen(QPen(Qt.DotLine))
self.vertical_line.setParentItem(point_item)
self.hidden_vertical_line = QGraphicsLineItem(x, -6, x, y)
pen = QPen(Qt.DashLine)
pen.setBrush(QColor(Qt.red))
self.hidden_vertical_line.setPen(pen)
self.hidden_vertical_line.setParentItem(point_item)
return point_item, nomogram_header
def crosshairs(color, radius=24, circle=False):
radius = max(radius, 16)
pixmap = QPixmap(radius, radius)
pixmap.fill(Qt.transparent)
painter = QPainter()
painter.begin(pixmap)
painter.setRenderHints(QPainter.Antialiasing)
pen = QPen(QBrush(color), 1)
pen.setWidthF(1.5)
painter.setPen(pen)
if circle:
painter.drawEllipse(2, 2, radius - 2, radius - 2)
painter.drawLine(radius / 2, 7, radius / 2, radius / 2 - 7)
painter.drawLine(7, radius / 2, radius / 2 - 7, radius / 2)
painter.end()
return pixmap
def paint(self, painter, option, widget=None):
# Override the default selected appearance
if self.isSelected():
option.state ^= QStyle.State_Selected
rect = self.rect()
# this must render before overlay due to order in which it's drawn
super().paint(painter, option, widget)
painter.save()
pen = QPen(QColor(Qt.black))
pen.setWidth(4)
pen.setJoinStyle(Qt.MiterJoin)
painter.setPen(pen)
painter.drawRect(rect.adjusted(2, 2, -2, -2))
painter.restore()
else:
super().paint(painter, option, widget)
def mouseMoveEvent(self, event):
if event.buttons() & Qt.LeftButton:
downPos = event.buttonDownPos(Qt.LeftButton)
if not self.__tmpLine and self.__dragStartItem and \
(downPos - event.pos()).manhattanLength() > \
QApplication.instance().startDragDistance():
# Start a line drag
line = LinkLineItem(self)
start = self.__dragStartItem.boundingRect().center()
start = self.mapFromItem(self.__dragStartItem, start)
eventPos = event.pos()
line.setLine(start.x(), start.y(), eventPos.x(), eventPos.y())
pen = QPen(self.palette().color(QPalette.Foreground), 4)
pen.setCapStyle(Qt.RoundCap)
line.setPen(pen)
line.show()
self.__tmpLine = line
if self.__dragStartItem in self.sourceNodeWidget.channelAnchors:
for anchor in self.sinkNodeWidget.channelAnchors:
self.__updateAnchorState(anchor, [self.__dragStartItem])
else:
for anchor in self.sourceNodeWidget.channelAnchors:
self.__updateAnchorState(anchor, [self.__dragStartItem])
if self.__tmpLine:
# Update the temp line
line = self.__tmpLine.line()
maybe_anchor = find_item_at(self.scene(), event.scenePos(),
type=ChannelAnchor)
# If hovering over anchor
if maybe_anchor is not None and maybe_anchor.isEnabled():
target_pos = maybe_anchor.boundingRect().center()
target_pos = self.mapFromItem(maybe_anchor, target_pos)
line.setP2(target_pos)
else:
target_pos = event.pos()
line.setP2(target_pos)
self.__tmpLine.setLine(line)
QGraphicsWidget.mouseMoveEvent(self, event)
def __init__(self, parent=None, **kwargs):
super().__init__(parent, **kwargs)
self.setFlag(QGraphicsObject.ItemSendsGeometryChanges)
self.__path = QPainterPath()
self.__brush = QBrush(Qt.NoBrush)
self.__pen = QPen()
self.__boundingRect = None
def generate_pens(basecolor):
pen = QPen(basecolor, 1)
pen.setCosmetic(True)
shadow_pen = QPen(pen.color().lighter(160), 2.5)
shadow_pen.setCosmetic(True)
return pen, shadow_pen
def __paint(self):
picture = QPicture()
painter = QPainter(picture)
pen = QPen(QBrush(Qt.white), 0.5)
pen.setCosmetic(True)
painter.setPen(pen)
geom = self.geometry
x, y = geom.x(), geom.y()
w, h = geom.width(), geom.height()
wsingle = w / len(self.dist)
for d, c in zip(self.dist, self.colors):
painter.setBrush(QBrush(c))
painter.drawRect(QRectF(x, y, wsingle, d * h))
x += wsingle
painter.end()
self.__picture = picture
def display_distribution(self):
dist = self.distributions
var = self.var
if dist is None or not len(dist):
return
self.plot.clear()
self.plot_prob.clear()
self.ploti.hideAxis('right')
self.tooltip_items = []
bottomaxis = self.ploti.getAxis("bottom")
bottomaxis.setLabel(var.name)
bottomaxis.resizeEvent()
self.set_left_axis_name()
if var and var.is_continuous:
bottomaxis.setTicks(None)
if not len(dist[0]):
return
edges, curve = ash_curve(dist, None, m=OWDistributions.ASH_HIST,
smoothing_factor=self.smoothing_factor)
edges = edges + (edges[1] - edges[0])/2
edges = edges[:-1]
if self.cumulative_distr:
dx = edges[1] - edges[0]
curve = numpy.cumsum(curve) * dx
item = pg.PlotCurveItem()
pen = QPen(QBrush(Qt.white), 3)
pen.setCosmetic(True)
item.setData(edges, curve, antialias=True, stepMode=False,
fillLevel=0, brush=QBrush(Qt.gray), pen=pen)
self.plot.addItem(item)
item.tooltip = "Density"
self.tooltip_items.append((self.plot, item))
else:
bottomaxis.setTicks([list(enumerate(var.values))])
for i, w in enumerate(dist):
geom = QRectF(i - 0.33, 0, 0.66, w)
item = DistributionBarItem(geom, [1.0],
[QColor(128, 128, 128)])
self.plot.addItem(item)
item.tooltip = "Frequency for %s: %r" % (var.values[i], w)
self.tooltip_items.append((self.plot, item))
def setPen(self, pen):
"""Set the items outline `pen` (:class:`QPen`).
"""
if not isinstance(pen, QPen):
pen = QPen(pen)
if self.__pen != pen:
self.prepareGeometryChange()
self.__pen = QPen(pen)
self.__boundingRect = None
self.update()
def __init__(self, parent=None):
QGraphicsLineItem.__init__(self, parent)
self.setAcceptHoverEvents(True)
self.__shape = None
self.__default_pen = QPen(QColor('#383838'), 4)
self.__default_pen.setCapStyle(Qt.RoundCap)
self.__hover_pen = QPen(QColor('#000000'), 4)
self.__hover_pen.setCapStyle(Qt.RoundCap)
self.setPen(self.__default_pen)
self.__shadow = QGraphicsDropShadowEffect(
blurRadius=10, color=QColor('#9CACB4'),
offset=QPointF(0, 0)
)
self.setGraphicsEffect(self.__shadow)
self.prepareGeometryChange()
self.__shadow.setEnabled(False)
def addLink(self, output, input):
"""
Add a link between `output` (:class:`OutputSignal`) and `input`
(:class:`InputSignal`).
"""
if not compatible_channels(output, input):
return
if output not in self.source.output_channels():
raise ValueError("%r is not an output channel of %r" % \
(output, self.source))
if input not in self.sink.input_channels():
raise ValueError("%r is not an input channel of %r" % \
(input, self.sink))
if input.single:
# Remove existing link if it exists.
for s1, s2, _ in self.__links:
if s2 == input:
self.removeLink(s1, s2)
line = QGraphicsLineItem(self)
source_anchor = self.sourceNodeWidget.anchor(output)
sink_anchor = self.sinkNodeWidget.anchor(input)
source_pos = source_anchor.boundingRect().center()
source_pos = self.mapFromItem(source_anchor, source_pos)
sink_pos = sink_anchor.boundingRect().center()
sink_pos = self.mapFromItem(sink_anchor, sink_pos)
line.setLine(source_pos.x(), source_pos.y(),
sink_pos.x(), sink_pos.y())
pen = QPen(Qt.black, 4)
pen.setCapStyle(Qt.RoundCap)
line.setPen(pen)
self.__links.append(_Link(output, input, line))
def shape(self):
if self.__shape is None:
path = self.curvePath()
pen = QPen(self.pen())
pen.setWidthF(max(pen.widthF(), 7.0))
pen.setStyle(Qt.SolidLine)
self.__shape = stroke_path(path, pen)
return self.__shape
def paint(self, painter, option, widget=None):
painter.save()
path = self.path()
brush = QBrush(self.brush())
pen = QPen(self.pen())
if option.state & QStyle.State_Selected:
pen.setColor(Qt.red)
brush.setStyle(Qt.DiagCrossPattern)
brush.setColor(QColor(40, 40, 40, 100))
elif option.state & QStyle.State_MouseOver:
pen.setColor(Qt.blue)
if option.state & QStyle.State_MouseOver:
brush.setColor(QColor(100, 100, 100, 100))
if brush.style() == Qt.NoBrush:
# Make sure the highlight is actually visible.
brush.setStyle(Qt.SolidPattern)
painter.setPen(pen)
painter.setBrush(brush)
painter.drawPath(path)
painter.restore()
def _setup_plot(self):
target = self.target_index
selected = self.selected_classifiers
curves = [self.plot_curves(target, clf_idx) for clf_idx in selected]
for curve in curves:
self.plot.addItem(curve.curve_item)
if self.display_convex_hull:
hull = convex_hull([c.curve.hull for c in curves])
self.plot.plot(hull[0], hull[1], pen="y", antialias=True)
pen = QPen(QColor(100, 100, 100, 100), 1, Qt.DashLine)
pen.setCosmetic(True)
self.plot.plot([0, 1], [0, 1], pen=pen, antialias=True)
warning = ""
if not all(c.curve.is_valid for c in curves):
if any(c.curve.is_valid for c in curves):
warning = "Some lift curves are undefined"
else:
warning = "All lift curves are undefined"
self.warning(warning)
def __init__(self, scene, num_of_atr=3, space=35, offset_y=10, rect_height=40):
self.scene = scene
self.num_of_atr = num_of_atr
self.space = space
self.graph_space = 80
self.offset_y = offset_y
self.black_pen = QPen(Qt.black, 2)
self.gray_pen = QPen(Qt.gray, 1)
self.light_gray_pen = QPen(QColor("#DFDFDF"), 1)
self.light_gray_pen.setStyle(Qt.DashLine)
self.brush = QBrush(QColor(0x33, 0x88, 0xff, 0xc0))
self.blue_pen = QPen(QBrush(QColor(0x33, 0x00, 0xff)), 2)
"""placeholders"""
self.rect_height = rect_height
self.max_contrib = None
self.atr_area_h = None
self.atr_area_w = None
self.scale = None
def __updateStyleState(self):
"""
Update the arrows' brush, pen, ... based on it's state
"""
if self.isSelected():
color = self.__color.darker(150)
pen = QPen(QColor(96, 158, 215), Qt.DashDotLine)
pen.setWidthF(1.25)
pen.setCosmetic(True)
self.__shadow.setColor(pen.color().darker(150))
else:
color = self.__color
pen = QPen(Qt.NoPen)
self.__shadow.setColor(QColor(63, 63, 63, 180))
self.__arrowItem.setBrush(color)
self.__arrowItem.setPen(pen)
def plot_curves(self, target, clf_idx):
if (target, clf_idx) not in self._curve_data:
curve = liftCurve_from_results(self.results, clf_idx, target)
color = self.colors[clf_idx]
pen = QPen(color, 1)
pen.setCosmetic(True)
shadow_pen = QPen(pen.color().lighter(160), 2.5)
shadow_pen.setCosmetic(True)
item = pg.PlotDataItem(
curve.points[0], curve.points[1],
pen=pen, shadowPen=shadow_pen,
symbol="+", symbolSize=3, symbolPen=shadow_pen,
antialias=True
)
hull_item = pg.PlotDataItem(
curve.hull[0], curve.hull[1],
pen=pen, antialias=True
)
self._curve_data[target, clf_idx] = \
PlotCurve(curve, item, hull_item)
return self._curve_data[target, clf_idx]
def framePen(self):
# type: () -> QPen
"""Return the frame pen.
"""
return QPen(self.__framePen)
def pen(self):
if self.__hasPen:
return super().pen()
else: # bypass pg.AxisItem
return QPen(self.palette().brush(QPalette.Text), 1)
def add_main_layout(self):
self.data = None
self.preprocessors = None
self.learner = None
self.scatterplot_item = None
self.plot_item = None
self.x_label = 'x'
self.y_label = 'y'
box = gui.vBox(self.controlArea, "Variables")
self.x_var_model = itemmodels.VariableListModel()
self.comboBoxAttributesX = gui.comboBox(box,
self,
value='x_var_index',
label="Input: ",
orientation=Qt.Horizontal,
callback=self.apply,
contentsLength=12)
self.comboBoxAttributesX.setSizePolicy(QSizePolicy.MinimumExpanding,
QSizePolicy.Fixed)
self.comboBoxAttributesX.setModel(self.x_var_model)
gui.doubleSpin(gui.indentedBox(box),
self,
"polynomialexpansion",
0,
10,
label="Polynomial expansion:",
callback=self.apply)
gui.separator(box, height=8)
self.y_var_model = itemmodels.VariableListModel()
self.comboBoxAttributesY = gui.comboBox(box,
self,
value="y_var_index",
label="Target: ",
orientation=Qt.Horizontal,
callback=self.apply,
contentsLength=12)
self.comboBoxAttributesY.setSizePolicy(QSizePolicy.MinimumExpanding,
QSizePolicy.Fixed)
self.comboBoxAttributesY.setModel(self.y_var_model)
gui.rubber(self.controlArea)
# main area GUI
self.plotview = pg.PlotWidget(background="w")
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.x_label)
axis.setPen(axis_pen)
axis.setTickFont(tickfont)
axis = self.plot.getAxis("left")
axis.setLabel(self.y_label)
axis.setPen(axis_pen)
axis.setTickFont(tickfont)
self.plot.setRange(xRange=(0.0, 1.0),
yRange=(0.0, 1.0),
disableAutoRange=True)
self.mainArea.layout().addWidget(self.plotview)
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 makeline(pos):
pen = QPen(Qt.darkGray, 1)
pen.setCosmetic(True)
line = InfiniteLine(angle=90, pos=pos, pen=pen, movable=True)
line.setCursor(Qt.SizeHorCursor)
return line
def pen(self):
return QPen(self.__pen)
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()
if opt.state & QStyle.State_Sunken:
# State 'down' pressed during a mouse press (slightly darker).
background_brush = brush_darker(brush_highlight, 110)
elif opt.state & QStyle.State_MouseOver:
background_brush = brush_darker(brush_highlight, 95)
elif opt.state & QStyle.State_On:
background_brush = brush_highlight
else:
# The default button brush.
background_brush = palette.button()
rect = opt.rect
icon_area_rect = QRect(rect)
icon_area_rect.setRight(int(icon_area_rect.height() * 1.26))
text_rect = QRect(rect)
text_rect.setLeft(icon_area_rect.right() + 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.topRight(),
icon_area_rect.bottomRight())
if opt.state & QStyle.State_HasFocus:
# Set the focus frame pen and draw the border
pen = QPen(QColor(FOCUS_OUTLINE_COLOR))
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 == QStyleOptionToolBox.OnlyOneTab or \
self.position == QStyleOptionToolBox.Beginning or \
self.selected & \
QStyleOptionToolBox.PreviousIsSelected:
p.drawLine(rect.topLeft(), rect.topRight())
p.drawLine(rect.bottomLeft(), rect.bottomRight())
p.restore()
p.save()
text = fm.elidedText(opt.text, Qt.ElideRight, text_rect.width())
p.setPen(QPen(palette.color(QPalette.ButtonText)))
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 __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 __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 numeric 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 setPen(self, pen):
if self.__pen != pen:
self.prepareGeometryChange()
self.__pen = QPen(pen)
self.__shape = None
super(LinkCurveItem, self).setPen(self.__pen)
def framePen(self):
"""Return the frame pen.
"""
return QPen(self.__framePen)
def make_pen(color, width=1):
pen = QPen(color, width)
pen.setCosmetic(True)
return 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 add_points():
nonlocal cur, image_token
if image_token != self._image_token:
return
batch = visible[cur:cur + self.N_POINTS_PER_ITER]
batch_lat = lat[batch]
batch_lon = lon[batch]
x, y = self.Projection.latlon_to_easting_northing(batch_lat, batch_lon)
x, y = self.Projection.easting_northing_to_pixel(x, y, zoom, origin, map_pane_pos)
if self._jittering:
dx, dy = self._jittering_offsets[batch].T
x, y = x + dx, y + dy
colors = (self._colorgen.getRGB(self._scaled_color_values[batch]).tolist()
if self._color_attr else
repeat((0xff, 0, 0)))
sizes = self._size_coef * \
(self._sizes[batch] if self._size_attr else np.tile(10, len(batch)))
opacity_subset, opacity_rest = self._opacity, int(.8 * self._opacity)
for x, y, is_selected, size, color, _in_subset in \
zip(x, y, selected[batch], sizes, colors, in_subset[batch]):
pensize2, selpensize2 = (.35, 1.5) if size >= 5 else (.15, .7)
pensize2 *= self._size_coef
selpensize2 *= self._size_coef
size2 = size / 2
if is_selected:
painter.setPen(QPen(QBrush(Qt.green), 2 * selpensize2))
painter.drawEllipse(x - size2 - selpensize2,
y - size2 - selpensize2,
size + selpensize2,
size + selpensize2)
color = QColor(*color)
if _in_subset:
color.setAlpha(opacity_subset)
painter.setBrush(QBrush(color))
painter.setPen(QPen(QBrush(color.darker(180)), 2 * pensize2))
else:
color.setAlpha(opacity_rest)
painter.setBrush(Qt.NoBrush)
painter.setPen(QPen(QBrush(color.lighter(120)), 2 * pensize2))
painter.drawEllipse(x - size2 - pensize2,
y - size2 - pensize2,
size + pensize2,
size + pensize2)
im.save(self._overlay_image_path, 'PNG')
self.evalJS('markersImageLayer.setUrl("{}#{}"); 0;'
.format(self.toFileURL(self._overlay_image_path),
np.random.random()))
cur += self.N_POINTS_PER_ITER
if cur < len(visible):
QTimer.singleShot(10, add_points)
self._owwidget.progressBarAdvance(100 / n_iters, None)
else:
self._owwidget.progressBarFinished(None)
def line(x1, y1, x2, y2):
r = QGraphicsLineItem(x1, y1, x2, y2, None)
self.canvas.addItem(r)
r.setPen(QPen(Qt.white, 2))
r.setZValue(30)
def update_selection_rects(self):
pens = (QPen(), QPen(Qt.black, 3, Qt.DotLine))
for i, (_, _, area) in enumerate(self.areas):
area.setPen(pens[i in self.selection])
def __init__(self, name, data_extremes, values, scale, name_offset, offset,
coef):
super().__init__()
data_start, data_stop = data_extremes[0], data_extremes[1]
self.name = name.toPlainText()
self.diff = (data_stop - data_start) * coef
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])
w = text.boundingRect().width()
y = y_start + (y_stop - y_start) / (self.n_tck - 1) * i
text.setPos(-5 - w, y - 8)
text.setParentItem(self)
tick = QGraphicsLineItem(-2, y, 2, y)
tick.setParentItem(self)
# prediction marker
self.dot = Continuous2DMovableDotItem(self.dot_r, 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)
pen = QPen(Qt.DashLine)
pen.setBrush(QColor(Qt.red))
h_line.setPen(pen)
h_line.setParentItem(self)
self.dot.horizontal_line = h_line
# line
line = QGraphicsLineItem(values[0] * scale + offset, y_start,
values[-1] * scale + offset, y_stop)
line.setParentItem(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)
tick.setBrush(QColor(Qt.black))
tick.setParentItem(self)
# rect
rect = QGraphicsRectItem(values[0] * scale + offset,
-self.y_diff * 0.125,
values[-1] * scale + offset,
self.y_diff * 1.25)
pen = QPen(Qt.DotLine)
pen.setBrush(QColor(50, 150, 200, 255))
rect.setPen(pen)
rect.setParentItem(self)
self.setPreferredSize(self.preferredWidth(), self.y_diff * 1.5)
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 = "箱形图"
description = "在方框图中可视化特征值的分布。"
icon = "icons/BoxPlot.svg"
priority = 100
keywords = ["whisker"]
class Inputs:
data = Input("数据", Orange.data.Table)
class Outputs:
selected_data = Output("所选数据", 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 = "盒式布景"
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
self.attrs = VariableListModel()
view = gui.listView(self.controlArea,
self,
"attribute",
box="变量",
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",
"按相关性排序",
tooltip="由𝜒²或方差对子群排序",
callback=self.apply_sorting)
self.group_vars = DomainModel(placeholder="无",
separators=False,
valid_types=Orange.data.DiscreteVariable)
self.group_view = view = gui.listView(self.controlArea,
self,
"group_var",
box="子群",
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=["无比较", "中位数比较", "均值比较"],
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="显示",
sizePolicy=(QSizePolicy.Minimum,
QSizePolicy.Fixed))
self.stretching_box.sizeHint = self.display_box.sizeHint
gui.checkBox(box,
self,
'stretched',
"拉杆",
callback=self.display_changed)
gui.checkBox(box,
self,
'show_labels',
"显示框标签",
callback=self.display_changed)
self.sort_cb = gui.checkBox(box,
self,
'sort_freqs',
"按子组频率排序",
callback=self.display_changed)
gui.rubber(box)
gui.auto_commit(self.controlArea, self, "auto_commit", "选中发送", "自动发送")
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>没有测试结果。</center>")
self.mainArea.setMinimumWidth(600)
self.stats = self.dist = self.conts = []
self.is_continuous = False
self.update_display_box()
def sizeHint(self):
return QSize(100, 500) # Vertical size is regulated by mainArea
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
def stat_ttest():
d1, d2 = self.stats
if d1.n == 0 or d2.n == 0:
return np.nan, np.nan
pooled_var = d1.var / d1.n + d2.var / d2.n
df = pooled_var ** 2 / \
((d1.var / d1.n) ** 2 / (d1.n - 1) +
(d2.var / d2.n) ** 2 / (d2.n - 1))
if pooled_var == 0:
return np.nan, np.nan
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)
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, self.p = tests.wilcoxon_rank_sum(
# self.stats[0].dist, self.stats[1].dist)
# t = "Mann-Whitney's z: %.1f (p=%.3f)" % (z, self.p)
else:
t, self.p = stat_ttest()
t = "Student's t: %.3f (p=%.3f)" % (t, self.p)
else:
if self.compare == OWBoxPlot.CompareMedians:
t = ""
# U, self.p = -1, -1
# t = "Kruskal Wallis's U: %.1f (p=%.3f)" % (U, self.p)
else:
F, self.p = stat_ANOVA()
t = "ANOVA: %.3f (p=%.3f)" % (F, self.p)
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 pen(self):
"""Pen used to draw the legend frame."""
return QPen(self.__pen)
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 setPen(self, pen):
pen = QPen(pen)
if self.__pen != pen:
self.__pen = pen
for item in self.__items:
item.setPen(pen)
def pen(color):
pen = QPen(color, 1)
pen.setCosmetic(True)
return pen
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.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)
self.layout().addItem(silhouettegroup, i + 1, 2)
if group.label:
self.layout().addItem(Line(orientation=Qt.Vertical), i + 1, 1)
label = QGraphicsSimpleTextItem(self)
label.setText("{} ({})".format(escape(group.label),
len(group.scores)))
item = WrapperLayoutItem(label, Qt.Vertical, parent=self)
self.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)
self.layout().addItem(textlist, i + 1, 3)
ax = pg.AxisItem(parent=self,
orientation="bottom",
maxTickLength=7,
pen=axispen)
ax.setRange(smin, smax)
self.layout().addItem(ax, len(self.__groups) + 1, 2)
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.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.buttonsArea, "Tools")
toolsBox = gui.widgetBox(tBox, 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)
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,
addToLayout=False)
form.addRow("Radius:", slider)
slider = gui.hSlider(indBox,
self,
"density",
None,
minValue=1,
maxValue=100,
createLabel=False,
addToLayout=False)
form.addRow("Intensity:", slider)
slider = gui.hSlider(indBox,
self,
"symbol_size",
None,
minValue=1,
maxValue=100,
createLabel=False,
callback=self.set_symbol_size,
addToLayout=False)
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.buttonsArea, 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)
# enable brush tool
self.toolActions.actions()[0].setChecked(True)
self.set_current_tool(self.TOOLS[0][2])
self.set_dimensions()
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 __init__(self):
super().__init__()
self.data = None
self.distributions = None
self.contingencies = None
self.var = self.cvar = None
varbox = gui.vBox(self.controlArea, "Variable")
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, "Precision")
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")
self.cb_disc_cont = gui.checkBox(
gui.indentedBox(box, sep=4),
self,
"disc_cont",
"Bin numeric variables",
callback=self._on_groupvar_idx_changed,
tooltip="Show numeric variables as categorical.",
)
box = gui.vBox(self.controlArea, "Group by")
self.icons = gui.attributeIconDict
self.groupvarview = gui.comboBox(
box,
self,
"groupvar_idx",
callback=self._on_groupvar_idx_changed,
valueType=str,
contentsLength=12,
)
box2 = gui.indentedBox(box, sep=4)
self.cb_rel_freq = gui.checkBox(
box2,
self,
"relative_freq",
"Show relative frequencies",
callback=self._on_relative_freq_changed,
tooltip="Normalize probabilities so that probabilities "
"for each group-by value sum to 1.",
)
gui.separator(box2)
self.cb_prob = gui.comboBox(
box2,
self,
"show_prob",
label="Show probabilities:",
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 __updatePen(self):
self.prepareGeometryChange()
self.__boundingRect = None
if self.__dynamic:
if self.__dynamicEnabled:
color = QColor(0, 150, 0, 150)
else:
color = QColor(150, 0, 0, 150)
normal = QPen(QBrush(color), 2.0)
hover = QPen(QBrush(color.darker(120)), 2.1)
else:
normal = QPen(QBrush(QColor("#9CACB4")), 2.0)
hover = QPen(QBrush(QColor("#7D7D7D")), 2.1)
if self.__state & LinkItem.Empty:
pen_style = Qt.DashLine
else:
pen_style = Qt.SolidLine
normal.setStyle(pen_style)
hover.setStyle(pen_style)
if self.hover:
pen = hover
else:
pen = normal
self.curveItem.setPen(pen)
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 hoverLeaveEvent(self, event):
pen = QPen(self.pen())
pen.setWidth(2)
self.setPen(pen)
return RugItem.hoverLeaveEvent(self, event)
def __init__(self):
super().__init__()
self.results = None
self.classifier_names = []
self.colors = []
self._curve_data = {}
box = gui.vBox(self.controlArea, "Plot")
tbox = gui.vBox(box, "Target Class")
tbox.setFlat(True)
self.target_cb = gui.comboBox(tbox,
self,
"target_index",
callback=self._on_target_changed,
contentsLength=8)
cbox = gui.vBox(box, "Classifiers")
cbox.setFlat(True)
self.classifiers_list_box = gui.listBox(
cbox,
self,
"selected_classifiers",
"classifier_names",
selectionMode=QListView.MultiSelection,
callback=self._on_classifiers_changed)
gui.checkBox(box,
self,
"display_convex_hull",
"Show lift convex hull",
callback=self._replot)
self.plotview = pg.GraphicsView(background="w")
self.plotview.setFrameStyle(QFrame.StyledPanel)
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("P Rate")
axis = self.plot.getAxis("left")
axis.setTickFont(tickfont)
axis.setPen(pen)
axis.setLabel("TP Rate")
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)
