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"""Widget for visualization of tree models"""
import re
from html import escape
from typing import Optional
import numpy as np
from AnyQt.QtWidgets import (
QGraphicsRectItem, QGraphicsTextItem, QSizePolicy, QStyle,
QLabel, QComboBox
)
from AnyQt.QtGui import QColor, QBrush, QPen, QFontMetrics
from AnyQt.QtCore import Qt, QPointF, QSizeF, QRectF
from orangewidget.utils.combobox import ComboBoxSearch
from orangewidget.utils.itemmodels import PyListModel
from Orange.base import TreeModel, SklModel
from Orange.widgets import gui
from Orange.widgets.utils.signals import Input, Output
from Orange.widgets.utils.itemmodels import DomainModel
from Orange.widgets.utils.widgetpreview import WidgetPreview
from Orange.widgets.visualize.owtreeviewer2d import \
GraphicsNode, GraphicsEdge, OWTreeViewer2D
from Orange.widgets.utils import to_html
from Orange.widgets.utils.localization import pl
from Orange.data import Table
from Orange.util import color_to_hex
from Orange.widgets.settings import ContextSetting, ClassValuesContextHandler, \
Setting
from Orange.widgets.utils.annotated_data import (create_annotated_table,
ANNOTATED_DATA_SIGNAL_NAME)
from Orange.widgets.visualize.utils.tree.skltreeadapter import SklTreeAdapter
from Orange.widgets.visualize.utils.tree.treeadapter import TreeAdapter
class PieChart(QGraphicsRectItem):
"""PieChart graphics item added at the corner of classification tree nodes
"""
# Methods are documented in PyQt documentation
# pylint: disable=missing-docstring
def __init__(self, dist, r, parent):
# pylint: disable=invalid-name
super().__init__(parent)
self.dist = dist
self.r = r
# noinspection PyPep8Naming
def setR(self, r):
# pylint: disable=invalid-name
self.prepareGeometryChange()
self.r = r
def boundingRect(self):
return QRectF(-self.r, -self.r, 2 * self.r, 2 * self.r)
def paint(self, painter, option, widget=None):
# pylint: disable=missing-docstring
dist_sum = sum(self.dist)
start_angle = 0
colors = self.scene().colors
for i in range(len(self.dist)):
angle = self.dist[i] * 16 * 360. / dist_sum
if angle == 0:
continue
painter.setBrush(QBrush(colors[i]))
painter.setPen(QPen(colors[i]))
painter.drawPie(-self.r, -self.r, 2 * self.r, 2 * self.r,
int(start_angle), int(angle))
start_angle += angle
painter.setPen(QPen(Qt.black))
painter.setBrush(QBrush())
painter.drawEllipse(-self.r, -self.r, 2 * self.r, 2 * self.r)
class TreeNode(GraphicsNode):
"""TreeNode for trees corresponding to base.Tree models"""
# Methods are documented in PyQt documentation
# pylint: disable=missing-docstring
def __init__(self, tree_adapter, node_inst, parent=None):
super().__init__(parent)
self.tree_adapter = tree_adapter
self.model = self.tree_adapter.model
self.node_inst = node_inst
fm = QFontMetrics(self.document().defaultFont())
attr = self.tree_adapter.attribute(node_inst)
self.attr_text_w = fm.horizontalAdvance(attr.name if attr else "")
self.attr_text_h = fm.lineSpacing()
self.line_descent = fm.descent()
self._rect = None
if self.model.domain.class_var.is_discrete:
self.pie = PieChart(self.tree_adapter.get_distribution(node_inst)[0], 8, self)
else:
self.pie = None
def update_contents(self):
self.prepareGeometryChange()
self.setTextWidth(-1)
self.setTextWidth(self.document().idealWidth())
self.droplet.setPos(self.rect().center().x(), self.rect().height())
self.droplet.setVisible(bool(self.branches))
fm = QFontMetrics(self.document().defaultFont())
attr = self.tree_adapter.attribute(self.node_inst)
self.attr_text_w = fm.horizontalAdvance(attr.name if attr else "")
self.attr_text_h = fm.lineSpacing()
self.line_descent = fm.descent()
if self.pie is not None:
self.pie.setPos(self.rect().right(), self.rect().center().y())
def rect(self):
if self._rect and self._rect.isValid():
return self._rect
else:
return QRectF(QPointF(0, 0), self.document().size()).\
adjusted(0, 0, 8, 0) | \
(getattr(self, "_rect") or QRectF(0, 0, 1, 1))
def set_rect(self, rect):
self.prepareGeometryChange()
rect = QRectF() if rect is None else rect
self._rect = rect
self.setTextWidth(-1)
self.update_contents()
self.update()
def boundingRect(self):
if hasattr(self, "attr"):
attr_rect = QRectF(QPointF(0, -self.attr_text_h),
QSizeF(self.attr_text_w, self.attr_text_h))
else:
attr_rect = QRectF(0, 0, 1, 1)
rect = self.rect().adjusted(-6, -6, 6, 6)
return rect | attr_rect
def paint(self, painter, option, widget=None):
rect = self.rect()
if self.isSelected():
option.state ^= QStyle.State_Selected
font = self.document().defaultFont()
painter.setFont(font)
if self.parent:
draw_text = str(self.tree_adapter.short_rule(self.node_inst))
if self.parent.x() > self.x(): # node is to the left
fm = QFontMetrics(font)
x = rect.width() / 2 - fm.horizontalAdvance(draw_text) - 4
else:
x = rect.width() / 2 + 4
painter.drawText(QPointF(x, -self.line_descent - 1), draw_text)
painter.save()
painter.setBrush(self.backgroundBrush)
if self.isSelected():
outline = QPen(option.palette.highlight(), 3)
else:
outline = QPen(option.palette.dark(), 1)
painter.setPen(outline)
adjrect = rect.adjusted(-3, 0, 0, 0)
if not self.tree_adapter.has_children(self.node_inst):
painter.drawRoundedRect(adjrect, 4, 4)
else:
painter.drawRect(adjrect)
painter.restore()
painter.setClipRect(rect)
return QGraphicsTextItem.paint(self, painter, option, widget)
class OWTreeGraph(OWTreeViewer2D):
"""Graphical visualization of tree models"""
name = "Tree Viewer"
icon = "icons/TreeViewer.svg"
priority = 35
keywords = "tree viewer"
class Inputs:
# Had different input names before merging from
# Classification/Regression tree variants
tree = Input("Tree", TreeModel, replaces=["Classification Tree", "Regression Tree"])
class Outputs:
selected_data = Output("Selected Data", Table, default=True, id="selected-data")
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Table, id="annotated-data")
settingsHandler = ClassValuesContextHandler()
target_class_index = ContextSetting(0)
regression_colors = Setting(0)
# None is a hint, "" means 'no hint'
node_labels_hint: Optional[str] = ContextSetting("")
show_intermediate = Setting(False)
replaces = [
"Orange.widgets.classify.owclassificationtreegraph.OWClassificationTreeGraph",
"Orange.widgets.classify.owregressiontreegraph.OWRegressionTreeGraph"
]
COL_OPTIONS = ["Default", "Number of instances", "Mean value", "Variance"]
COL_DEFAULT, COL_INSTANCE, COL_MEAN, COL_VARIANCE = range(4)
def __init__(self):
super().__init__()
self.domain = None
self.dataset = None
self.tree_adapter = None
self.node_labels = None
self.color_label = QLabel("Target class: ")
combo = self.color_combo = ComboBoxSearch()
combo.setSizePolicy(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed)
combo.setSizeAdjustPolicy(
QComboBox.AdjustToMinimumContentsLengthWithIcon)
combo.setMinimumContentsLength(8)
combo.activated[int].connect(self.color_changed)
self.display_box.layout().addRow(self.color_label, combo)
self.label_model = DomainModel(
placeholder="None",
order=(DomainModel.METAS,
PyListModel.Separator,
DomainModel.ATTRIBUTES)
)
combo = gui.comboBox(
None, self, "node_labels",
model=self.label_model,
orientation=Qt.Horizontal,
callback=self.label_changed,
sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLengthWithIcon,
sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed),
minimumContentsLength=8,
tooltip="Variable that identifies the instances in nodes."
)
self.display_box.layout().addRow("Node labels:", combo)
box = gui.hBox(None)
gui.rubber(box)
gui.checkBox(box, self, "show_intermediate",
"Show details in non-leaves",
callback=self.set_node_info)
self.display_box.layout().addRow(box)
def set_node_info(self):
"""Set the content of the node"""
for node in self.scene.nodes():
node.set_rect(QRectF())
self.update_node_info(node)
w = max([n.rect().width() for n in self.scene.nodes()] + [0])
if w > self.max_node_width:
w = self.max_node_width
for node in self.scene.nodes():
rect = node.rect()
node.set_rect(QRectF(rect.x(), rect.y(), w, rect.height()))
self.scene.fix_pos(self.root_node, 10, 10)
def _update_node_info_attr_name(self, node, text):
attr = self.tree_adapter.attribute(node.node_inst)
if attr is not None:
if text:
text += "<hr/>"
text += attr.name
return text
def activate_loaded_settings(self):
if not self.model:
return
super().activate_loaded_settings()
if self.domain.class_var.is_discrete:
self.color_combo.setCurrentIndex(self.target_class_index)
self.toggle_node_color_cls()
else:
self.color_combo.setCurrentIndex(self.regression_colors)
self.toggle_node_color_reg()
self.set_node_info()
def color_changed(self, i):
if self.domain.class_var.is_discrete:
self.target_class_index = i
self.toggle_node_color_cls()
self.set_node_info()
else:
self.regression_colors = i
self.toggle_node_color_reg()
def label_changed(self):
self.node_labels_hint = self.node_labels and self.node_labels.name
self.set_node_info()
def toggle_node_size(self):
self.set_node_info()
self.scene.update()
self.scene_view.repaint()
def toggle_color_cls(self):
self.toggle_node_color_cls()
self.set_node_info()
self.scene.update()
def toggle_color_reg(self):
self.toggle_node_color_reg()
self.set_node_info()
self.scene.update()
@Inputs.tree
def ctree(self, model=None):
"""Input signal handler"""
self.clear_scene()
self.color_combo.clear()
self.closeContext()
self.model = model
self.target_class_index = 0
if model is None:
self._ctree_clean()
else:
self._ctree_setup(model)
self.setup_scene()
self.Outputs.selected_data.send(None)
self.Outputs.annotated_data.send(create_annotated_table(self.dataset, []))
def _ctree_clean(self):
self.infolabel.setText('No tree.')
self.label_model.set_domain(None)
self.root_node = None
self.dataset = None
self.tree_adapter = None
self.node_labels = None
def _ctree_setup(self, model):
self.tree_adapter = self._get_tree_adapter(model)
self.domain = model.domain
self.dataset = model.instances
class_var = self.domain.class_var
self.scene.colors = class_var.palette
if class_var.is_discrete:
self.color_label.setText("Target class: ")
self.color_combo.addItem("None")
self.color_combo.addItems(self.domain.class_vars[0].values)
self.color_combo.setCurrentIndex(self.target_class_index)
else:
self.color_label.setText("Color by: ")
self.color_combo.addItems(self.COL_OPTIONS)
self.color_combo.setCurrentIndex(self.regression_colors)
self.openContext(self.domain)
self.set_node_labels(model)
self.root_node = self.walkcreate(self.tree_adapter.root)
nodes = self.tree_adapter.num_nodes
leaves = len(self.tree_adapter.leaves(self.tree_adapter.root))
self.infolabel.setText(f'{nodes} {pl(nodes, "node")}, {leaves} {pl(leaves, "leaf|leaves")}')
def set_node_labels(self, model):
# Note: This function set the instance label but not the hint
# Hints are only set by users. If the label is set heuristically
# it will be set to the same (heuristic) value next time anyway.
# Set node_labels to None before changing the model,
# for the sake of hygiene
self.node_labels = None
self.label_model.set_domain(model.instances and model.instances.domain)
# If we have no data or the hint say to not use labels, leave it None
if model.instances is None or self.node_labels_hint is None:
return
if self.node_labels_hint in self.domain:
# Use the hint if you can
self.node_labels = self.domain[self.node_labels_hint]
else:
nunique, var = max(
((len(set(self.dataset.get_column(v))), v)
for v in self.domain.metas if v.is_string),
default=(0, None))
if nunique > 0.8 * len(self.dataset):
self.node_labels = var
def walkcreate(self, node, parent=None):
"""Create a structure of tree nodes from the given model"""
node_obj = TreeNode(self.tree_adapter, node, parent)
self.scene.addItem(node_obj)
if parent:
edge = GraphicsEdge(node1=parent, node2=node_obj)
self.scene.addItem(edge)
parent.graph_add_edge(edge)
for child_inst in self.tree_adapter.children(node):
if child_inst is not None:
self.walkcreate(child_inst, node_obj)
return node_obj
def node_tooltip(self, node):
# We use <br/> and  : styling of <li> in Qt doesn't work well
indent = " "
nbp = "<p style='white-space:pre'>"
rule = "<br/>".join(f"{indent}– {to_html(str(rule))}"
for rule in self.tree_adapter.rules(node.node_inst))
if rule:
rule = f"<p><b>Selection</b></p><p>{rule}</p>"
distr = self.tree_adapter.get_distribution(node.node_inst)[0]
class_var = self.domain.class_var
name = escape(class_var.name)
if self.domain.class_var.is_discrete:
total = float(sum(distr)) or 1
show_all = len(distr) <= 2
content = f"{nbp}<b>Distribution of</b> '{name}'</p><p>" \
+ "<table>" + "".join(
"<tr>"
f"<td><span style='color: {color_to_hex(color)}'>◼</span> "
f"{escape(value)}</td>"
f"<td>{indent}</td>"
f"<td align='right'>{prop:g}</td>"
f"<td>{indent}</td>"
f"<td align='right'>{prop / total * 100:.1f} %</td>"
"</tr>"
for value, color, prop
in zip(class_var.values, class_var.colors, distr)
if show_all or prop > 0) \
+ "</table>"
else:
mean, var = distr
content = f"{nbp}{class_var.name} = {mean:.3g} ± {var:.3g}<br/>" + \
f"({self.tree_adapter.num_samples(node.node_inst)} instances)</p>"
split = self._update_node_info_attr_name(node, "")
if split:
split = f"{nbp}<b>Next split: </b>{split}</p>"
return "<hr/>".join(filter(None, (rule, content, split)))
def update_selection(self):
if self.model is None:
return
nodes = [item.node_inst for item in self.scene.selectedItems()
if isinstance(item, TreeNode)]
data = self.tree_adapter.get_instances_in_nodes(nodes)
self.Outputs.selected_data.send(data)
self.Outputs.annotated_data.send(create_annotated_table(
self.dataset, self.tree_adapter.get_indices(nodes)))
def send_report(self):
if not self.model:
return
items = [("Tree size", self.infolabel.text()),
("Edge widths",
("Fixed", "Relative to root", "Relative to parent")[
# pylint: disable=invalid-sequence-index
self.line_width_method])]
if self.domain.class_var.is_discrete:
items.append(("Target class", self.color_combo.currentText()))
elif self.regression_colors != self.COL_DEFAULT:
items.append(("Color by", self.COL_OPTIONS[self.regression_colors]))
self.report_items(items)
self.report_plot()
def update_node_info(self, node):
if self.tree_adapter.has_children(node.node_inst) and not self.show_intermediate:
text = ""
elif self.domain.class_var.is_discrete:
text = self.node_content_cls(node)
else:
text = self.node_content_reg(node)
text = self._update_node_info_attr_name(node, text)
if self.node_labels is not None and not self.tree_adapter.has_children(node.node_inst):
text += "<hr/>"
data = self.tree_adapter.get_instances_in_nodes([node.node_inst])
var = self.node_labels
labels = [escape(var.str_val(label))
for label in data.get_column(var)[:4]]
text += ", ".join(labels)
if len(data) > 4:
text += ", …"
node.setHtml(
f'<p style="line-height: 120%; margin-bottom: 0">{text}</p>')
def node_content_cls(self, node):
"""Update the printed contents of the node for classification trees"""
node_inst = node.node_inst
distr = self.tree_adapter.get_distribution(node_inst)[0]
total = self.tree_adapter.num_samples(node_inst)
distr = distr / np.sum(distr)
if self.target_class_index:
tabs = distr[self.target_class_index - 1]
text = ""
else:
modus = np.argmax(distr)
tabs = distr[modus]
text = f"<b>{escape(self.domain.class_vars[0].values[int(modus)])}</b><br/>"
if tabs > 0.999:
text += f"100%, {total}/{total}"
else:
text += f"{100 * tabs:2.1f}%, {int(total * tabs)}/{total}"
return text
def node_content_reg(self, node):
"""Update the printed contents of the node for regression trees"""
node_inst = node.node_inst
mean, var = self.tree_adapter.get_distribution(node_inst)[0]
insts = self.tree_adapter.num_samples(node_inst)
text = f"<b>{mean:.1f}</b> ± {var:.1f}<br/>"
text += f"{insts} instances"
return text
def toggle_node_color_cls(self):
"""Update the node color for classification trees"""
colors = self.scene.colors
for node in self.scene.nodes():
distr = node.tree_adapter.get_distribution(node.node_inst)[0]
total = sum(distr)
if self.target_class_index:
p = distr[self.target_class_index - 1] / total
color = colors[self.target_class_index - 1].lighter(
int(200 - 100 * p))
else:
modus = np.argmax(distr)
p = distr[modus] / (total or 1)
color = colors.value_to_qcolor(int(modus))
color = color.lighter(int(300 - 200 * p))
node.backgroundBrush = QBrush(color)
self.scene.update()
def toggle_node_color_reg(self):
"""Update the node color for regression trees"""
def_color = QColor(192, 192, 255)
if self.regression_colors == self.COL_DEFAULT:
brush = QBrush(def_color.lighter(100))
for node in self.scene.nodes():
node.backgroundBrush = brush
elif self.regression_colors == self.COL_INSTANCE:
max_insts = len(self.tree_adapter.get_instances_in_nodes(
[self.tree_adapter.root]))
for node in self.scene.nodes():
node_insts = len(self.tree_adapter.get_instances_in_nodes(
[node.node_inst]))
node.backgroundBrush = QBrush(def_color.lighter(
int(120 - 20 * node_insts / max_insts)))
elif self.regression_colors == self.COL_MEAN:
minv = np.nanmin(self.dataset.Y)
maxv = np.nanmax(self.dataset.Y)
colors = self.scene.colors
for node in self.scene.nodes():
node_mean = self.tree_adapter.get_distribution(node.node_inst)[0][0]
color = colors.value_to_qcolor(node_mean, minv, maxv)
node.backgroundBrush = QBrush(color)
else:
nodes = list(self.scene.nodes())
variances = [self.tree_adapter.get_distribution(node.node_inst)[0][1]
for node in nodes]
max_var = max(variances)
for node, var in zip(nodes, variances):
node.backgroundBrush = QBrush(def_color.lighter(
int(120 - 20 * var / max_var)))
self.scene.update()
def _get_tree_adapter(self, model):
if isinstance(model, SklModel):
return SklTreeAdapter(model)
return TreeAdapter(model)
if __name__ == "__main__": # pragma: no cover
from Orange.modelling.tree import TreeLearner
data = Table("titanic")
# data = Table("housing")
clf = TreeLearner()(data)
clf.instances = data
WidgetPreview(OWTreeGraph).run(clf)
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