class OWHierarchicalClustering(widget.OWWidget):
name = "Hierarchical Clustering"
description = "Display a dendrogram of a hierarchical clustering " \
"constructed from the input distance matrix."
icon = "icons/HierarchicalClustering.svg"
priority = 2100
keywords = []
class Inputs:
distances = Input("Distances", Orange.misc.DistMatrix)
class Outputs:
selected_data = Output("Selected Data",
Orange.data.Table,
default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)
settingsHandler = _DomainContextHandler()
#: Selected linkage
linkage = settings.Setting(1)
#: Index of the selected annotation item (variable, ...)
annotation = settings.ContextSetting("Enumeration")
#: Out-of-context setting for the case when the "Name" option is available
annotation_if_names = settings.Setting("Name")
#: Out-of-context setting for the case with just "Enumerate" and "None"
annotation_if_enumerate = settings.Setting("Enumerate")
#: Selected tree pruning (none/max depth)
pruning = settings.Setting(0)
#: Maximum depth when max depth pruning is selected
max_depth = settings.Setting(10)
#: Selected cluster selection method (none, cut distance, top n)
selection_method = settings.Setting(0)
#: Cut height ratio wrt root height
cut_ratio = settings.Setting(75.0)
#: Number of top clusters to select
top_n = settings.Setting(3)
#: Dendrogram zoom factor
zoom_factor = settings.Setting(0)
autocommit = settings.Setting(True)
graph_name = "scene"
basic_annotations = ["None", "Enumeration"]
class Error(widget.OWWidget.Error):
not_finite_distances = Msg("Some distances are infinite")
#: Stored (manual) selection state (from a saved workflow) to restore.
__pending_selection_restore = None # type: Optional[SelectionState]
def __init__(self):
super().__init__()
self.matrix = None
self.items = None
self.linkmatrix = None
self.root = None
self._displayed_root = None
self.cutoff_height = 0.0
gui.comboBox(self.controlArea,
self,
"linkage",
items=LINKAGE,
box="Linkage",
callback=self._invalidate_clustering)
model = itemmodels.VariableListModel()
model[:] = self.basic_annotations
box = gui.widgetBox(self.controlArea, "Annotations")
self.label_cb = cb = combobox.ComboBoxSearch(
minimumContentsLength=14,
sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLengthWithIcon)
cb.setModel(model)
cb.setCurrentIndex(cb.findData(self.annotation, Qt.EditRole))
def on_annotation_activated():
self.annotation = cb.currentData(Qt.EditRole)
self._update_labels()
cb.activated.connect(on_annotation_activated)
def on_annotation_changed(value):
cb.setCurrentIndex(cb.findData(value, Qt.EditRole))
self.connect_control("annotation", on_annotation_changed)
box.layout().addWidget(self.label_cb)
box = gui.radioButtons(self.controlArea,
self,
"pruning",
box="Pruning",
callback=self._invalidate_pruning)
grid = QGridLayout()
box.layout().addLayout(grid)
grid.addWidget(gui.appendRadioButton(box, "None", addToLayout=False),
0, 0)
self.max_depth_spin = gui.spin(box,
self,
"max_depth",
minv=1,
maxv=100,
callback=self._invalidate_pruning,
keyboardTracking=False,
addToLayout=False)
grid.addWidget(
gui.appendRadioButton(box, "Max depth:", addToLayout=False), 1, 0)
grid.addWidget(self.max_depth_spin, 1, 1)
self.selection_box = gui.radioButtons(
self.controlArea,
self,
"selection_method",
box="Selection",
callback=self._selection_method_changed)
grid = QGridLayout()
self.selection_box.layout().addLayout(grid)
grid.addWidget(
gui.appendRadioButton(self.selection_box,
"Manual",
addToLayout=False), 0, 0)
grid.addWidget(
gui.appendRadioButton(self.selection_box,
"Height ratio:",
addToLayout=False), 1, 0)
self.cut_ratio_spin = gui.spin(self.selection_box,
self,
"cut_ratio",
0,
100,
step=1e-1,
spinType=float,
callback=self._selection_method_changed,
addToLayout=False)
self.cut_ratio_spin.setSuffix("%")
grid.addWidget(self.cut_ratio_spin, 1, 1)
grid.addWidget(
gui.appendRadioButton(self.selection_box,
"Top N:",
addToLayout=False), 2, 0)
self.top_n_spin = gui.spin(self.selection_box,
self,
"top_n",
1,
20,
callback=self._selection_method_changed,
addToLayout=False)
grid.addWidget(self.top_n_spin, 2, 1)
self.zoom_slider = gui.hSlider(self.controlArea,
self,
"zoom_factor",
box="Zoom",
minValue=-6,
maxValue=3,
step=1,
ticks=True,
createLabel=False,
callback=self.__update_font_scale)
zoom_in = QAction("Zoom in",
self,
shortcut=QKeySequence.ZoomIn,
triggered=self.__zoom_in)
zoom_out = QAction("Zoom out",
self,
shortcut=QKeySequence.ZoomOut,
triggered=self.__zoom_out)
zoom_reset = QAction("Reset zoom",
self,
shortcut=QKeySequence(Qt.ControlModifier
| Qt.Key_0),
triggered=self.__zoom_reset)
self.addActions([zoom_in, zoom_out, zoom_reset])
self.controlArea.layout().addStretch()
gui.auto_send(self.buttonsArea, self, "autocommit")
self.scene = QGraphicsScene(self)
self.view = StickyGraphicsView(
self.scene,
horizontalScrollBarPolicy=Qt.ScrollBarAlwaysOff,
verticalScrollBarPolicy=Qt.ScrollBarAlwaysOn,
alignment=Qt.AlignLeft | Qt.AlignVCenter)
self.mainArea.layout().setSpacing(1)
self.mainArea.layout().addWidget(self.view)
def axis_view(orientation):
ax = AxisItem(orientation=orientation, maxTickLength=7)
ax.mousePressed.connect(self._activate_cut_line)
ax.mouseMoved.connect(self._activate_cut_line)
ax.mouseReleased.connect(self._activate_cut_line)
ax.setRange(1.0, 0.0)
return ax
self.top_axis = axis_view("top")
self.bottom_axis = axis_view("bottom")
self._main_graphics = QGraphicsWidget()
scenelayout = QGraphicsGridLayout()
scenelayout.setHorizontalSpacing(10)
scenelayout.setVerticalSpacing(10)
self._main_graphics.setLayout(scenelayout)
self.scene.addItem(self._main_graphics)
self.dendrogram = DendrogramWidget()
self.dendrogram.setSizePolicy(QSizePolicy.MinimumExpanding,
QSizePolicy.MinimumExpanding)
self.dendrogram.selectionChanged.connect(self._invalidate_output)
self.dendrogram.selectionEdited.connect(self._selection_edited)
self.labels = TextListWidget()
self.labels.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Preferred)
self.labels.setAlignment(Qt.AlignLeft)
self.labels.setMaximumWidth(200)
scenelayout.addItem(self.top_axis,
0,
0,
alignment=Qt.AlignLeft | Qt.AlignVCenter)
scenelayout.addItem(self.dendrogram,
1,
0,
alignment=Qt.AlignLeft | Qt.AlignVCenter)
scenelayout.addItem(self.labels,
1,
1,
alignment=Qt.AlignLeft | Qt.AlignVCenter)
scenelayout.addItem(self.bottom_axis,
2,
0,
alignment=Qt.AlignLeft | Qt.AlignVCenter)
self.view.viewport().installEventFilter(self)
self._main_graphics.installEventFilter(self)
self.top_axis.setZValue(self.dendrogram.zValue() + 10)
self.bottom_axis.setZValue(self.dendrogram.zValue() + 10)
self.cut_line = SliderLine(self.top_axis, orientation=Qt.Horizontal)
self.cut_line.valueChanged.connect(self._dendrogram_slider_changed)
self.dendrogram.geometryChanged.connect(self._dendrogram_geom_changed)
self._set_cut_line_visible(self.selection_method == 1)
self.__update_font_scale()
@Inputs.distances
def set_distances(self, matrix):
if self.__pending_selection_restore is not None:
selection_state = self.__pending_selection_restore
else:
# save the current selection to (possibly) restore later
selection_state = self._save_selection()
self.error()
self.Error.clear()
if matrix is not None:
N, _ = matrix.shape
if N < 2:
self.error("Empty distance matrix")
matrix = None
if matrix is not None:
if not np.all(np.isfinite(matrix)):
self.Error.not_finite_distances()
matrix = None
self.matrix = matrix
if matrix is not None:
self._set_items(matrix.row_items, matrix.axis)
else:
self._set_items(None)
self._invalidate_clustering()
# Can now attempt to restore session state from a saved workflow.
if self.root and selection_state is not None:
self._restore_selection(selection_state)
self.__pending_selection_restore = None
self.commit.now()
def _set_items(self, items, axis=1):
self.closeContext()
self.items = items
model = self.label_cb.model()
if len(model) == 3:
self.annotation_if_names = self.annotation
elif len(model) == 2:
self.annotation_if_enumerate = self.annotation
if isinstance(items, Orange.data.Table) and axis:
model[:] = chain(
self.basic_annotations, [model.Separator],
items.domain.class_vars, items.domain.metas,
[model.Separator] if
(items.domain.class_vars or items.domain.metas) and next(
filter_visible(items.domain.attributes), False) else [],
filter_visible(items.domain.attributes))
if items.domain.class_vars:
self.annotation = items.domain.class_vars[0]
else:
self.annotation = "Enumeration"
self.openContext(items.domain)
else:
name_option = bool(
items is not None
and (not axis or isinstance(items, list) and all(
isinstance(var, Orange.data.Variable) for var in items)))
model[:] = self.basic_annotations + ["Name"] * name_option
self.annotation = self.annotation_if_names if name_option \
else self.annotation_if_enumerate
def _clear_plot(self):
self.dendrogram.set_root(None)
self.labels.setItems([])
def _set_displayed_root(self, root):
self._clear_plot()
self._displayed_root = root
self.dendrogram.set_root(root)
self._update_labels()
self._main_graphics.resize(
self._main_graphics.size().width(),
self._main_graphics.sizeHint(Qt.PreferredSize).height())
self._main_graphics.layout().activate()
def _update(self):
self._clear_plot()
distances = self.matrix
if distances is not None:
method = LINKAGE[self.linkage].lower()
Z = dist_matrix_linkage(distances, linkage=method)
tree = tree_from_linkage(Z)
self.linkmatrix = Z
self.root = tree
self.top_axis.setRange(tree.value.height, 0.0)
self.bottom_axis.setRange(tree.value.height, 0.0)
if self.pruning:
self._set_displayed_root(prune(tree, level=self.max_depth))
else:
self._set_displayed_root(tree)
else:
self.linkmatrix = None
self.root = None
self._set_displayed_root(None)
self._apply_selection()
def _update_labels(self):
labels = []
if self.root and self._displayed_root:
indices = [leaf.value.index for leaf in leaves(self.root)]
if self.annotation == "None":
labels = []
elif self.annotation == "Enumeration":
labels = [str(i + 1) for i in indices]
elif self.annotation == "Name":
attr = self.matrix.row_items.domain.attributes
labels = [str(attr[i]) for i in indices]
elif isinstance(self.annotation, Orange.data.Variable):
col_data, _ = self.items.get_column_view(self.annotation)
labels = [self.annotation.str_val(val) for val in col_data]
labels = [labels[idx] for idx in indices]
else:
labels = []
if labels and self._displayed_root is not self.root:
joined = leaves(self._displayed_root)
labels = [
", ".join(labels[leaf.value.first:leaf.value.last])
for leaf in joined
]
self.labels.setItems(labels)
self.labels.setMinimumWidth(1 if labels else -1)
def _restore_selection(self, state):
# type: (SelectionState) -> bool
"""
Restore the (manual) node selection state.
Return True if successful; False otherwise.
"""
linkmatrix = self.linkmatrix
if self.selection_method == 0 and self.root:
selected, linksaved = state
linkstruct = np.array(linksaved, dtype=float)
selected = set(selected) # type: Set[Tuple[int]]
if not selected:
return False
if linkmatrix.shape[0] != linkstruct.shape[0]:
return False
# check that the linkage matrix structure matches. Use isclose for
# the height column to account for inexact floating point math
# (e.g. summation order in different ?gemm implementations for
# euclidean distances, ...)
if np.any(linkstruct[:, :2] != linkmatrix[:, :2]) or \
not np.all(np.isclose(linkstruct[:, 2], linkstruct[:, 2])):
return False
selection = []
indices = np.array([n.value.index for n in leaves(self.root)],
dtype=int)
# mapping from ranges to display (pruned) nodes
mapping = {
node.value.range: node
for node in postorder(self._displayed_root)
}
for node in postorder(self.root): # type: Tree
r = tuple(indices[node.value.first:node.value.last])
if r in selected:
if node.value.range not in mapping:
# the node was pruned from display and cannot be
# selected
break
selection.append(mapping[node.value.range])
selected.remove(r)
if not selected:
break # found all, nothing more to do
if selection and selected:
# Could not restore all selected nodes (only partial match)
return False
self._set_selected_nodes(selection)
return True
return False
def _set_selected_nodes(self, selection):
# type: (List[Tree]) -> None
"""
Set the nodes in `selection` to be the current selected nodes.
The selection nodes must be subtrees of the current `_displayed_root`.
"""
self.dendrogram.selectionChanged.disconnect(self._invalidate_output)
try:
self.dendrogram.set_selected_clusters(selection)
finally:
self.dendrogram.selectionChanged.connect(self._invalidate_output)
def _invalidate_clustering(self):
self._update()
self._update_labels()
self._invalidate_output()
def _invalidate_output(self):
self.commit.deferred()
def _invalidate_pruning(self):
if self.root:
selection = self.dendrogram.selected_nodes()
ranges = [node.value.range for node in selection]
if self.pruning:
self._set_displayed_root(prune(self.root,
level=self.max_depth))
else:
self._set_displayed_root(self.root)
selected = [
node for node in preorder(self._displayed_root)
if node.value.range in ranges
]
self.dendrogram.set_selected_clusters(selected)
self._apply_selection()
@gui.deferred
def commit(self):
items = getattr(self.matrix, "items", self.items)
if not items:
self.Outputs.selected_data.send(None)
self.Outputs.annotated_data.send(None)
return
selection = self.dendrogram.selected_nodes()
selection = sorted(selection, key=lambda c: c.value.first)
indices = [leaf.value.index for leaf in leaves(self.root)]
maps = [
indices[node.value.first:node.value.last] for node in selection
]
selected_indices = list(chain(*maps))
unselected_indices = sorted(
set(range(self.root.value.last)) - set(selected_indices))
if not selected_indices:
self.Outputs.selected_data.send(None)
annotated_data = create_annotated_table(items, []) \
if self.selection_method == 0 and self.matrix.axis else None
self.Outputs.annotated_data.send(annotated_data)
return
selected_data = None
if isinstance(items, Orange.data.Table) and self.matrix.axis == 1:
# Select rows
c = np.zeros(self.matrix.shape[0])
for i, indices in enumerate(maps):
c[indices] = i
c[unselected_indices] = len(maps)
mask = c != len(maps)
data, domain = items, items.domain
attrs = domain.attributes
classes = domain.class_vars
metas = domain.metas
var_name = get_unique_names(domain, "Cluster")
values = [f"C{i + 1}" for i in range(len(maps))]
clust_var = Orange.data.DiscreteVariable(var_name,
values=values + ["Other"])
domain = Orange.data.Domain(attrs, classes, metas + (clust_var, ))
data = items.transform(domain)
with data.unlocked(data.metas):
data.get_column_view(clust_var)[0][:] = c
if selected_indices:
selected_data = data[mask]
clust_var = Orange.data.DiscreteVariable(var_name,
values=values)
selected_data.domain = Domain(attrs, classes,
metas + (clust_var, ))
annotated_data = create_annotated_table(data, selected_indices)
elif isinstance(items, Orange.data.Table) and self.matrix.axis == 0:
# Select columns
attrs = []
for clust, indices in chain(enumerate(maps, start=1),
[(0, unselected_indices)]):
for i in indices:
attr = items.domain[i].copy()
attr.attributes["cluster"] = clust
attrs.append(attr)
domain = Orange.data.Domain(
# len(unselected_indices) can be 0
attrs[:len(attrs) - len(unselected_indices)],
items.domain.class_vars,
items.domain.metas)
selected_data = items.from_table(domain, items)
domain = Orange.data.Domain(attrs, items.domain.class_vars,
items.domain.metas)
annotated_data = items.from_table(domain, items)
self.Outputs.selected_data.send(selected_data)
self.Outputs.annotated_data.send(annotated_data)
def eventFilter(self, obj, event):
if obj is self.view.viewport() and event.type() == QEvent.Resize:
# NOTE: not using viewport.width(), due to 'transient' scroll bars
# (macOS). Viewport covers the whole view, but QGraphicsView still
# scrolls left, right with scroll bar extent (other
# QAbstractScrollArea widgets behave as expected).
w_frame = self.view.frameWidth()
margin = self.view.viewportMargins()
w_scroll = self.view.verticalScrollBar().width()
width = (self.view.width() - w_frame * 2 - margin.left() -
margin.right() - w_scroll)
# layout with new width constraint
self.__layout_main_graphics(width=width)
elif obj is self._main_graphics and \
event.type() == QEvent.LayoutRequest:
# layout preserving the width (vertical re layout)
self.__layout_main_graphics()
return super().eventFilter(obj, event)
@Slot(QPointF)
def _activate_cut_line(self, pos: QPointF):
"""Activate cut line selection an set cut value to `pos.x()`."""
self.selection_method = 1
self.cut_line.setValue(pos.x())
self._selection_method_changed()
def onDeleteWidget(self):
super().onDeleteWidget()
self._clear_plot()
self.dendrogram.clear()
self.dendrogram.deleteLater()
def _dendrogram_geom_changed(self):
pos = self.dendrogram.pos_at_height(self.cutoff_height)
geom = self.dendrogram.geometry()
self._set_slider_value(pos.x(), geom.width())
self.cut_line.setLength(self.bottom_axis.geometry().bottom() -
self.top_axis.geometry().top())
geom = self._main_graphics.geometry()
assert geom.topLeft() == QPointF(0, 0)
def adjustLeft(rect):
rect = QRectF(rect)
rect.setLeft(geom.left())
return rect
margin = 3
self.scene.setSceneRect(geom)
self.view.setSceneRect(geom)
self.view.setHeaderSceneRect(
adjustLeft(self.top_axis.geometry()).adjusted(0, 0, 0, margin))
self.view.setFooterSceneRect(
adjustLeft(self.bottom_axis.geometry()).adjusted(0, -margin, 0, 0))
def _dendrogram_slider_changed(self, value):
p = QPointF(value, 0)
cl_height = self.dendrogram.height_at(p)
self.set_cutoff_height(cl_height)
def _set_slider_value(self, value, span):
with blocked(self.cut_line):
self.cut_line.setRange(0, span)
self.cut_line.setValue(value)
def set_cutoff_height(self, height):
self.cutoff_height = height
if self.root:
self.cut_ratio = 100 * height / self.root.value.height
self.select_max_height(height)
def _set_cut_line_visible(self, visible):
self.cut_line.setVisible(visible)
def select_top_n(self, n):
root = self._displayed_root
if root:
clusters = top_clusters(root, n)
self.dendrogram.set_selected_clusters(clusters)
def select_max_height(self, height):
root = self._displayed_root
if root:
clusters = clusters_at_height(root, height)
self.dendrogram.set_selected_clusters(clusters)
def _selection_method_changed(self):
self._set_cut_line_visible(self.selection_method == 1)
if self.root:
self._apply_selection()
def _apply_selection(self):
if not self.root:
return
if self.selection_method == 0:
pass
elif self.selection_method == 1:
height = self.cut_ratio * self.root.value.height / 100
self.set_cutoff_height(height)
pos = self.dendrogram.pos_at_height(height)
self._set_slider_value(pos.x(), self.dendrogram.size().width())
elif self.selection_method == 2:
self.select_top_n(self.top_n)
def _selection_edited(self):
# Selection was edited by clicking on a cluster in the
# dendrogram view.
self.selection_method = 0
self._selection_method_changed()
self._invalidate_output()
def _save_selection(self):
# Save the current manual node selection state
selection_state = None
if self.selection_method == 0 and self.root:
assert self.linkmatrix is not None
linkmat = [(int(_0), int(_1), _2)
for _0, _1, _2 in self.linkmatrix[:, :3].tolist()]
nodes_ = self.dendrogram.selected_nodes()
# match the display (pruned) nodes back (by ranges)
mapping = {node.value.range: node for node in postorder(self.root)}
nodes = [mapping[node.value.range] for node in nodes_]
indices = [
tuple(node.value.index for node in leaves(node))
for node in nodes
]
if nodes:
selection_state = (indices, linkmat)
return selection_state
def save_state(self):
# type: () -> Dict[str, Any]
"""
Save state for `set_restore_state`
"""
selection = self._save_selection()
res = {"version": (0, 0, 0)}
if selection is not None:
res["selection_state"] = selection
return res
def set_restore_state(self, state):
# type: (Dict[str, Any]) -> bool
"""
Restore session data from a saved state.
Parameters
----------
state : Dict[str, Any]
NOTE
----
This is method called while the instance (self) is being constructed,
even before its `__init__` is called. Consider `self` to be only a
`QObject` at this stage.
"""
if "selection_state" in state:
selection = state["selection_state"]
self.__pending_selection_restore = selection
return True
def __zoom_in(self):
def clip(minval, maxval, val):
return min(max(val, minval), maxval)
self.zoom_factor = clip(self.zoom_slider.minimum(),
self.zoom_slider.maximum(),
self.zoom_factor + 1)
self.__update_font_scale()
def __zoom_out(self):
def clip(minval, maxval, val):
return min(max(val, minval), maxval)
self.zoom_factor = clip(self.zoom_slider.minimum(),
self.zoom_slider.maximum(),
self.zoom_factor - 1)
self.__update_font_scale()
def __zoom_reset(self):
self.zoom_factor = 0
self.__update_font_scale()
def __layout_main_graphics(self, width=-1):
if width < 0:
# Preserve current width.
width = self._main_graphics.size().width()
preferred = self._main_graphics.effectiveSizeHint(Qt.PreferredSize,
constraint=QSizeF(
width, -1))
self._main_graphics.resize(QSizeF(width, preferred.height()))
mw = self._main_graphics.minimumWidth() + 4
self.view.setMinimumWidth(mw + self.view.verticalScrollBar().width())
def __update_font_scale(self):
font = self.scene.font()
factor = (1.25**self.zoom_factor)
font = qfont_scaled(font, factor)
self._main_graphics.setFont(font)
def send_report(self):
annot = self.label_cb.currentText()
if isinstance(self.annotation, str):
annot = annot.lower()
if self.selection_method == 0:
sel = "manual"
elif self.selection_method == 1:
sel = "at {:.1f} of height".format(self.cut_ratio)
else:
sel = "top {} clusters".format(self.top_n)
self.report_items((
("Linkage", LINKAGE[self.linkage].lower()),
("Annotation", annot),
("Prunning", self.pruning != 0
and "{} levels".format(self.max_depth)),
("Selection", sel),
))
self.report_plot()
class OWDistanceMap(widget.OWWidget):
name = "Distance Map"
description = "Visualize a distance matrix."
icon = "icons/DistanceMap.svg"
priority = 1200
keywords = []
class Inputs:
distances = Input("Distances", Orange.misc.DistMatrix)
class Outputs:
selected_data = Output("Selected Data", Orange.data.Table, default=True)
annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)
features = Output("Features", widget.AttributeList, dynamic=False)
settingsHandler = settings.PerfectDomainContextHandler()
#: type of ordering to apply to matrix rows/columns
NoOrdering, Clustering, OrderedClustering = 0, 1, 2
sorting = settings.Setting(NoOrdering)
palette_name = settings.Setting(colorpalettes.DefaultContinuousPaletteName)
color_gamma = settings.Setting(0.0)
color_low = settings.Setting(0.0)
color_high = settings.Setting(1.0)
annotation_idx = settings.ContextSetting(0)
pending_selection = settings.Setting(None, schema_only=True)
autocommit = settings.Setting(True)
graph_name = "grid_widget"
# Disable clustering for inputs bigger than this
_MaxClustering = 25000
# Disable cluster leaf ordering for inputs bigger than this
_MaxOrderedClustering = 2000
def __init__(self):
super().__init__()
self.matrix = None
self._tree = None
self._ordered_tree = None
self._sorted_matrix = None
self._sort_indices = None
self._selection = None
self.sorting_cb = gui.comboBox(
self.controlArea, self, "sorting", box="Element Sorting",
items=["None", "Clustering", "Clustering with ordered leaves"],
callback=self._invalidate_ordering)
box = gui.vBox(self.controlArea, "Colors")
self.color_box = gui.palette_combo_box(self.palette_name)
self.color_box.currentIndexChanged.connect(self._update_color)
box.layout().addWidget(self.color_box)
form = QFormLayout(
formAlignment=Qt.AlignLeft,
labelAlignment=Qt.AlignLeft,
fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow
)
# form.addRow(
# "Gamma",
# gui.hSlider(box, self, "color_gamma", minValue=0.0, maxValue=1.0,
# step=0.05, ticks=True, intOnly=False,
# createLabel=False, callback=self._update_color)
# )
form.addRow(
"Low:",
gui.hSlider(box, self, "color_low", minValue=0.0, maxValue=1.0,
step=0.05, ticks=True, intOnly=False,
createLabel=False, callback=self._update_color)
)
form.addRow(
"High:",
gui.hSlider(box, self, "color_high", minValue=0.0, maxValue=1.0,
step=0.05, ticks=True, intOnly=False,
createLabel=False, callback=self._update_color)
)
box.layout().addLayout(form)
self.annot_combo = gui.comboBox(
self.controlArea, self, "annotation_idx", box="Annotations",
callback=self._invalidate_annotations, contentsLength=12)
self.annot_combo.setModel(itemmodels.VariableListModel())
self.annot_combo.model()[:] = ["None", "Enumeration"]
self.controlArea.layout().addStretch()
gui.auto_send(self.controlArea, self, "autocommit")
self.view = pg.GraphicsView(background="w")
self.mainArea.layout().addWidget(self.view)
self.grid_widget = pg.GraphicsWidget()
self.grid = QGraphicsGridLayout()
self.grid_widget.setLayout(self.grid)
self.viewbox = pg.ViewBox(enableMouse=False, enableMenu=False)
self.viewbox.setAcceptedMouseButtons(Qt.NoButton)
self.viewbox.setAcceptHoverEvents(False)
self.grid.addItem(self.viewbox, 1, 1)
self.left_dendrogram = DendrogramWidget(
self.grid_widget, orientation=DendrogramWidget.Left,
selectionMode=DendrogramWidget.NoSelection,
hoverHighlightEnabled=False
)
self.left_dendrogram.setAcceptedMouseButtons(Qt.NoButton)
self.left_dendrogram.setAcceptHoverEvents(False)
self.top_dendrogram = DendrogramWidget(
self.grid_widget, orientation=DendrogramWidget.Top,
selectionMode=DendrogramWidget.NoSelection,
hoverHighlightEnabled=False
)
self.top_dendrogram.setAcceptedMouseButtons(Qt.NoButton)
self.top_dendrogram.setAcceptHoverEvents(False)
self.grid.addItem(self.left_dendrogram, 1, 0)
self.grid.addItem(self.top_dendrogram, 0, 1)
self.right_labels = TextList(
alignment=Qt.AlignLeft | Qt.AlignVCenter,
sizePolicy=QSizePolicy(QSizePolicy.Fixed, QSizePolicy.Expanding)
)
self.bottom_labels = TextList(
orientation=Qt.Horizontal,
alignment=Qt.AlignRight | Qt.AlignVCenter,
sizePolicy=QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
)
self.grid.addItem(self.right_labels, 1, 2)
self.grid.addItem(self.bottom_labels, 2, 1)
self.view.setCentralItem(self.grid_widget)
self.left_dendrogram.hide()
self.top_dendrogram.hide()
self.right_labels.hide()
self.bottom_labels.hide()
self.matrix_item = None
self.dendrogram = None
self.grid_widget.scene().installEventFilter(self)
self.settingsAboutToBePacked.connect(self.pack_settings)
def pack_settings(self):
if self.matrix_item is not None:
self.pending_selection = self.matrix_item.selections()
else:
self.pending_selection = None
@Inputs.distances
def set_distances(self, matrix):
self.closeContext()
self.clear()
self.error()
if matrix is not None:
N, _ = matrix.shape
if N < 2:
self.error("Empty distance matrix.")
matrix = None
self.matrix = matrix
if matrix is not None:
self.set_items(matrix.row_items, matrix.axis)
else:
self.set_items(None)
if matrix is not None:
N, _ = matrix.shape
else:
N = 0
model = self.sorting_cb.model()
item = model.item(2)
msg = None
if N > OWDistanceMap._MaxOrderedClustering:
item.setFlags(item.flags() & ~Qt.ItemIsEnabled)
if self.sorting == OWDistanceMap.OrderedClustering:
self.sorting = OWDistanceMap.Clustering
msg = "Cluster ordering was disabled due to the input " \
"matrix being to big"
else:
item.setFlags(item.flags() | Qt.ItemIsEnabled)
item = model.item(1)
if N > OWDistanceMap._MaxClustering:
item.setFlags(item.flags() & ~Qt.ItemIsEnabled)
if self.sorting == OWDistanceMap.Clustering:
self.sorting = OWDistanceMap.NoOrdering
msg = "Clustering was disabled due to the input " \
"matrix being to big"
else:
item.setFlags(item.flags() | Qt.ItemIsEnabled)
self.information(msg)
def set_items(self, items, axis=1):
self.items = items
model = self.annot_combo.model()
if items is None:
model[:] = ["None", "Enumeration"]
elif not axis:
model[:] = ["None", "Enumeration", "Attribute names"]
elif isinstance(items, Orange.data.Table):
annot_vars = list(filter_visible(items.domain.variables)) + list(items.domain.metas)
model[:] = ["None", "Enumeration"] + annot_vars
self.annotation_idx = 0
self.openContext(items.domain)
elif isinstance(items, list) and \
all(isinstance(item, Orange.data.Variable) for item in items):
model[:] = ["None", "Enumeration", "Name"]
else:
model[:] = ["None", "Enumeration"]
self.annotation_idx = min(self.annotation_idx, len(model) - 1)
def clear(self):
self.matrix = None
self.cluster = None
self._tree = None
self._ordered_tree = None
self._sorted_matrix = None
self._selection = []
self._clear_plot()
def handleNewSignals(self):
if self.matrix is not None:
self._update_ordering()
self._setup_scene()
self._update_labels()
if self.pending_selection is not None:
self.matrix_item.set_selections(self.pending_selection)
self.pending_selection = None
self.unconditional_commit()
def _clear_plot(self):
def remove(item):
item.setParentItem(None)
item.scene().removeItem(item)
if self.matrix_item is not None:
self.matrix_item.selectionChanged.disconnect(
self._invalidate_selection)
remove(self.matrix_item)
self.matrix_item = None
self._set_displayed_dendrogram(None)
self._set_labels(None)
def _cluster_tree(self):
if self._tree is None:
self._tree = hierarchical.dist_matrix_clustering(self.matrix)
return self._tree
def _ordered_cluster_tree(self):
if self._ordered_tree is None:
tree = self._cluster_tree()
self._ordered_tree = \
hierarchical.optimal_leaf_ordering(tree, self.matrix)
return self._ordered_tree
def _setup_scene(self):
self._clear_plot()
self.matrix_item = DistanceMapItem(self._sorted_matrix)
# Scale the y axis to compensate for pg.ViewBox's y axis invert
self.matrix_item.setTransform(QTransform.fromScale(1, -1), )
self.viewbox.addItem(self.matrix_item)
# Set fixed view box range.
h, w = self._sorted_matrix.shape
self.viewbox.setRange(QRectF(0, -h, w, h), padding=0)
self.matrix_item.selectionChanged.connect(self._invalidate_selection)
if self.sorting == OWDistanceMap.NoOrdering:
tree = None
elif self.sorting == OWDistanceMap.Clustering:
tree = self._cluster_tree()
elif self.sorting == OWDistanceMap.OrderedClustering:
tree = self._ordered_cluster_tree()
self._set_displayed_dendrogram(tree)
self._update_color()
def _set_displayed_dendrogram(self, root):
self.left_dendrogram.set_root(root)
self.top_dendrogram.set_root(root)
self.left_dendrogram.setVisible(root is not None)
self.top_dendrogram.setVisible(root is not None)
constraint = 0 if root is None else -1 # 150
self.left_dendrogram.setMaximumWidth(constraint)
self.top_dendrogram.setMaximumHeight(constraint)
def _invalidate_ordering(self):
self._sorted_matrix = None
if self.matrix is not None:
self._update_ordering()
self._setup_scene()
self._update_labels()
self._invalidate_selection()
def _update_ordering(self):
if self.sorting == OWDistanceMap.NoOrdering:
self._sorted_matrix = self.matrix
self._sort_indices = None
else:
if self.sorting == OWDistanceMap.Clustering:
tree = self._cluster_tree()
elif self.sorting == OWDistanceMap.OrderedClustering:
tree = self._ordered_cluster_tree()
leaves = hierarchical.leaves(tree)
indices = numpy.array([leaf.value.index for leaf in leaves])
X = self.matrix
self._sorted_matrix = X[indices[:, numpy.newaxis],
indices[numpy.newaxis, :]]
self._sort_indices = indices
def _invalidate_annotations(self):
if self.matrix is not None:
self._update_labels()
def _update_labels(self, ):
if self.annotation_idx == 0: # None
labels = None
elif self.annotation_idx == 1: # Enumeration
labels = [str(i + 1) for i in range(self.matrix.shape[0])]
elif self.annot_combo.model()[self.annotation_idx] == "Attribute names":
attr = self.matrix.row_items.domain.attributes
labels = [str(attr[i]) for i in range(self.matrix.shape[0])]
elif self.annotation_idx == 2 and \
isinstance(self.items, widget.AttributeList):
labels = [v.name for v in self.items]
elif isinstance(self.items, Orange.data.Table):
var = self.annot_combo.model()[self.annotation_idx]
column, _ = self.items.get_column_view(var)
labels = [var.str_val(value) for value in column]
self._set_labels(labels)
def _set_labels(self, labels):
self._labels = labels
if labels and self.sorting != OWDistanceMap.NoOrdering:
sortind = self._sort_indices
labels = [labels[i] for i in sortind]
for textlist in [self.right_labels, self.bottom_labels]:
textlist.setItems(labels or [])
textlist.setVisible(bool(labels))
constraint = -1 if labels else 0
self.right_labels.setMaximumWidth(constraint)
self.bottom_labels.setMaximumHeight(constraint)
def _update_color(self):
palette = self.color_box.currentData()
self.palette_name = palette.name
if self.matrix_item:
colors = palette.lookup_table(self.color_low, self.color_high)
self.matrix_item.setLookupTable(colors)
def _invalidate_selection(self):
ranges = self.matrix_item.selections()
ranges = reduce(iadd, ranges, [])
indices = reduce(iadd, ranges, [])
if self.sorting != OWDistanceMap.NoOrdering:
sortind = self._sort_indices
indices = [sortind[i] for i in indices]
self._selection = list(sorted(set(indices)))
self.commit()
def commit(self):
datasubset = None
featuresubset = None
if not self._selection:
pass
elif isinstance(self.items, Orange.data.Table):
indices = self._selection
if self.matrix.axis == 1:
datasubset = self.items.from_table_rows(self.items, indices)
elif self.matrix.axis == 0:
domain = Orange.data.Domain(
[self.items.domain[i] for i in indices],
self.items.domain.class_vars,
self.items.domain.metas)
datasubset = self.items.transform(domain)
elif isinstance(self.items, widget.AttributeList):
subset = [self.items[i] for i in self._selection]
featuresubset = widget.AttributeList(subset)
self.Outputs.selected_data.send(datasubset)
self.Outputs.annotated_data.send(create_annotated_table(self.items, self._selection))
self.Outputs.features.send(featuresubset)
def onDeleteWidget(self):
super().onDeleteWidget()
self.clear()
def send_report(self):
annot = self.annot_combo.currentText()
if self.annotation_idx <= 1:
annot = annot.lower()
self.report_items((
("Sorting", self.sorting_cb.currentText().lower()),
("Annotations", annot)
))
if self.matrix is not None:
self.report_plot()
class OWDistanceMap(widget.OWWidget):
name = "距离图(Distance Map)"
description = "可视化距离矩阵"
icon = "icons/DistanceMap.svg"
priority = 1200
keywords = ['juliyingshe', 'yingshe', 'julitu']
category = '非监督(Unsupervised)'
class Inputs:
distances = Input("距离(Distances)", Orange.misc.DistMatrix, replaces=['Distances'])
class Outputs:
selected_data = Output("选定的数据(Selected Data)", Orange.data.Table, default=True, replaces=['Selected Data'])
annotated_data = Output("数据(Data)", Orange.data.Table, replaces=['Data'])
features = Output("特征(Features)", widget.AttributeList, dynamic=False, replaces=['Features'])
settingsHandler = settings.PerfectDomainContextHandler()
#: type of ordering to apply to matrix rows/columns
NoOrdering, Clustering, OrderedClustering = 0, 1, 2
sorting = settings.Setting(NoOrdering)
palette_name = settings.Setting(colorpalettes.DefaultContinuousPaletteName)
color_gamma = settings.Setting(0.0)
color_low = settings.Setting(0.0)
color_high = settings.Setting(1.0)
annotation_idx = settings.ContextSetting(0)
pending_selection = settings.Setting(None, schema_only=True)
autocommit = settings.Setting(True)
graph_name = "grid_widget"
# Disable clustering for inputs bigger than this
_MaxClustering = 25000
# Disable cluster leaf ordering for inputs bigger than this
_MaxOrderedClustering = 2000
def __init__(self):
super().__init__()
self.matrix = None
self._matrix_range = 0.
self._tree = None
self._ordered_tree = None
self._sorted_matrix = None
self._sort_indices = None
self._selection = None
self.sorting_cb = gui.comboBox(
self.controlArea, self, "sorting", box="元素排序",
items=["无", "聚类(Clustering)", "有序叶聚类"],
callback=self._invalidate_ordering)
box = gui.vBox(self.controlArea, "颜色")
self.color_map_widget = cmw = ColorGradientSelection(
thresholds=(self.color_low, self.color_high),
)
model = itemmodels.ContinuousPalettesModel(parent=self)
cmw.setModel(model)
idx = cmw.findData(self.palette_name, model.KeyRole)
if idx != -1:
cmw.setCurrentIndex(idx)
cmw.activated.connect(self._update_color)
def _set_thresholds(low, high):
self.color_low, self.color_high = low, high
self._update_color()
cmw.thresholdsChanged.connect(_set_thresholds)
box.layout().addWidget(self.color_map_widget)
self.annot_combo = gui.comboBox(
self.controlArea, self, "annotation_idx", box="注释",
contentsLength=12, searchable=True,
callback=self._invalidate_annotations
)
self.annot_combo.setModel(itemmodels.VariableListModel())
self.annot_combo.model()[:] = ["无", "枚举"]
gui.rubber(self.controlArea)
gui.auto_send(self.buttonsArea, self, "autocommit")
self.view = GraphicsView(background=None)
self.mainArea.layout().addWidget(self.view)
self.grid_widget = pg.GraphicsWidget()
self.grid = QGraphicsGridLayout()
self.grid_widget.setLayout(self.grid)
self.gradient_legend = GradientLegendWidget(0, 1, self._color_map())
self.gradient_legend.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Fixed)
self.gradient_legend.setMaximumWidth(250)
self.grid.addItem(self.gradient_legend, 0, 1)
self.viewbox = pg.ViewBox(enableMouse=False, enableMenu=False)
self.viewbox.setAcceptedMouseButtons(Qt.NoButton)
self.viewbox.setAcceptHoverEvents(False)
self.grid.addItem(self.viewbox, 2, 1)
self.left_dendrogram = DendrogramWidget(
self.grid_widget, orientation=DendrogramWidget.Left,
selectionMode=DendrogramWidget.NoSelection,
hoverHighlightEnabled=False
)
self.left_dendrogram.setAcceptedMouseButtons(Qt.NoButton)
self.left_dendrogram.setAcceptHoverEvents(False)
self.top_dendrogram = DendrogramWidget(
self.grid_widget, orientation=DendrogramWidget.Top,
selectionMode=DendrogramWidget.NoSelection,
hoverHighlightEnabled=False
)
self.top_dendrogram.setAcceptedMouseButtons(Qt.NoButton)
self.top_dendrogram.setAcceptHoverEvents(False)
self.grid.addItem(self.left_dendrogram, 2, 0)
self.grid.addItem(self.top_dendrogram, 1, 1)
self.right_labels = TextList(
alignment=Qt.AlignLeft | Qt.AlignVCenter,
sizePolicy=QSizePolicy(QSizePolicy.Fixed, QSizePolicy.Expanding)
)
self.bottom_labels = TextList(
orientation=Qt.Horizontal,
alignment=Qt.AlignRight | Qt.AlignVCenter,
sizePolicy=QSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
)
self.grid.addItem(self.right_labels, 2, 2)
self.grid.addItem(self.bottom_labels, 3, 1)
self.view.setCentralItem(self.grid_widget)
self.gradient_legend.hide()
self.left_dendrogram.hide()
self.top_dendrogram.hide()
self.right_labels.hide()
self.bottom_labels.hide()
self.matrix_item = None
self.dendrogram = None
self.settingsAboutToBePacked.connect(self.pack_settings)
def pack_settings(self):
if self.matrix_item is not None:
self.pending_selection = self.matrix_item.selections()
else:
self.pending_selection = None
@Inputs.distances
def set_distances(self, matrix):
self.closeContext()
self.clear()
self.error()
if matrix is not None:
N, _ = matrix.shape
if N < 2:
self.error("Empty distance matrix.")
matrix = None
self.matrix = matrix
if matrix is not None:
self._matrix_range = numpy.nanmax(matrix)
self.set_items(matrix.row_items, matrix.axis)
else:
self._matrix_range = 0.
self.set_items(None)
if matrix is not None:
N, _ = matrix.shape
else:
N = 0
model = self.sorting_cb.model()
item = model.item(2)
msg = None
if N > OWDistanceMap._MaxOrderedClustering:
item.setFlags(item.flags() & ~Qt.ItemIsEnabled)
if self.sorting == OWDistanceMap.OrderedClustering:
self.sorting = OWDistanceMap.Clustering
msg = "Cluster ordering was disabled due to the input " \
"matrix being to big"
else:
item.setFlags(item.flags() | Qt.ItemIsEnabled)
item = model.item(1)
if N > OWDistanceMap._MaxClustering:
item.setFlags(item.flags() & ~Qt.ItemIsEnabled)
if self.sorting == OWDistanceMap.Clustering:
self.sorting = OWDistanceMap.NoOrdering
msg = "Clustering was disabled due to the input " \
"matrix being to big"
else:
item.setFlags(item.flags() | Qt.ItemIsEnabled)
self.information(msg)
def set_items(self, items, axis=1):
self.items = items
model = self.annot_combo.model()
if items is None:
model[:] = ["无", "枚举"]
elif not axis:
model[:] = ["无", "枚举", "Attribute names"]
elif isinstance(items, Orange.data.Table):
annot_vars = list(filter_visible(items.domain.variables)) + list(items.domain.metas)
model[:] = ["无", "枚举"] + annot_vars
self.annotation_idx = 0
self.openContext(items.domain)
elif isinstance(items, list) and \
all(isinstance(item, Orange.data.Variable) for item in items):
model[:] = ["无", "枚举", "Name"]
else:
model[:] = ["无", "枚举"]
self.annotation_idx = min(self.annotation_idx, len(model) - 1)
def clear(self):
self.matrix = None
self._tree = None
self._ordered_tree = None
self._sorted_matrix = None
self._selection = []
self._clear_plot()
def handleNewSignals(self):
if self.matrix is not None:
self._update_ordering()
self._setup_scene()
self._update_labels()
if self.pending_selection is not None:
self.matrix_item.set_selections(self.pending_selection)
self.pending_selection = None
self.commit.now()
def _clear_plot(self):
def remove(item):
item.setParentItem(None)
item.scene().removeItem(item)
if self.matrix_item is not None:
self.matrix_item.selectionChanged.disconnect(
self._invalidate_selection)
remove(self.matrix_item)
self.matrix_item = None
self._set_displayed_dendrogram(None)
self._set_labels(None)
self.gradient_legend.hide()
def _cluster_tree(self):
if self._tree is None:
self._tree = hierarchical.dist_matrix_clustering(self.matrix)
return self._tree
def _ordered_cluster_tree(self):
if self._ordered_tree is None:
tree = self._cluster_tree()
self._ordered_tree = \
hierarchical.optimal_leaf_ordering(tree, self.matrix)
return self._ordered_tree
def _setup_scene(self):
self._clear_plot()
self.matrix_item = DistanceMapItem(self._sorted_matrix)
# Scale the y axis to compensate for pg.ViewBox's y axis invert
self.matrix_item.setTransform(QTransform.fromScale(1, -1), )
self.viewbox.addItem(self.matrix_item)
# Set fixed view box range.
h, w = self._sorted_matrix.shape
self.viewbox.setRange(QRectF(0, -h, w, h), padding=0)
self.matrix_item.selectionChanged.connect(self._invalidate_selection)
if self.sorting == OWDistanceMap.NoOrdering:
tree = None
elif self.sorting == OWDistanceMap.Clustering:
tree = self._cluster_tree()
elif self.sorting == OWDistanceMap.OrderedClustering:
tree = self._ordered_cluster_tree()
self._set_displayed_dendrogram(tree)
self._update_color()
def _set_displayed_dendrogram(self, root):
self.left_dendrogram.set_root(root)
self.top_dendrogram.set_root(root)
self.left_dendrogram.setVisible(root is not None)
self.top_dendrogram.setVisible(root is not None)
constraint = 0 if root is None else -1 # 150
self.left_dendrogram.setMaximumWidth(constraint)
self.top_dendrogram.setMaximumHeight(constraint)
def _invalidate_ordering(self):
self._sorted_matrix = None
if self.matrix is not None:
self._update_ordering()
self._setup_scene()
self._update_labels()
self._invalidate_selection()
def _update_ordering(self):
if self.sorting == OWDistanceMap.NoOrdering:
self._sorted_matrix = self.matrix
self._sort_indices = None
else:
if self.sorting == OWDistanceMap.Clustering:
tree = self._cluster_tree()
elif self.sorting == OWDistanceMap.OrderedClustering:
tree = self._ordered_cluster_tree()
leaves = hierarchical.leaves(tree)
indices = numpy.array([leaf.value.index for leaf in leaves])
X = self.matrix
self._sorted_matrix = X[indices[:, numpy.newaxis],
indices[numpy.newaxis, :]]
self._sort_indices = indices
def _invalidate_annotations(self):
if self.matrix is not None:
self._update_labels()
def _update_labels(self, ):
if self.annotation_idx == 0: # None
labels = None
elif self.annotation_idx == 1: # Enumeration
labels = [str(i + 1) for i in range(self.matrix.shape[0])]
elif self.annot_combo.model()[self.annotation_idx] == "Attribute names":
attr = self.matrix.row_items.domain.attributes
labels = [str(attr[i]) for i in range(self.matrix.shape[0])]
elif self.annotation_idx == 2 and \
isinstance(self.items, widget.AttributeList):
labels = [v.name for v in self.items]
elif isinstance(self.items, Orange.data.Table):
var = self.annot_combo.model()[self.annotation_idx]
column, _ = self.items.get_column_view(var)
labels = [var.str_val(value) for value in column]
self._set_labels(labels)
def _set_labels(self, labels):
self._labels = labels
if labels and self.sorting != OWDistanceMap.NoOrdering:
sortind = self._sort_indices
labels = [labels[i] for i in sortind]
for textlist in [self.right_labels, self.bottom_labels]:
textlist.setItems(labels or [])
textlist.setVisible(bool(labels))
constraint = -1 if labels else 0
self.right_labels.setMaximumWidth(constraint)
self.bottom_labels.setMaximumHeight(constraint)
def _color_map(self) -> GradientColorMap:
palette = self.color_map_widget.currentData()
return GradientColorMap(
palette.lookup_table(),
thresholds=(self.color_low, max(self.color_high, self.color_low)),
span=(0., self._matrix_range))
def _update_color(self):
palette = self.color_map_widget.currentData()
self.palette_name = palette.name
if self.matrix_item:
cmap = self._color_map().replace(span=(0., 1.))
colors = cmap.apply(numpy.arange(256) / 255.)
self.matrix_item.setLookupTable(colors)
self.gradient_legend.show()
self.gradient_legend.setRange(0, self._matrix_range)
self.gradient_legend.setColorMap(self._color_map())
def _invalidate_selection(self):
ranges = self.matrix_item.selections()
ranges = reduce(iadd, ranges, [])
indices = reduce(iadd, ranges, [])
if self.sorting != OWDistanceMap.NoOrdering:
sortind = self._sort_indices
indices = [sortind[i] for i in indices]
self._selection = list(sorted(set(indices)))
self.commit.deferred()
@gui.deferred
def commit(self):
datasubset = None
featuresubset = None
if not self._selection:
pass
elif isinstance(self.items, Orange.data.Table):
indices = self._selection
if self.matrix.axis == 1:
datasubset = self.items.from_table_rows(self.items, indices)
elif self.matrix.axis == 0:
domain = Orange.data.Domain(
[self.items.domain[i] for i in indices],
self.items.domain.class_vars,
self.items.domain.metas)
datasubset = self.items.transform(domain)
elif isinstance(self.items, widget.AttributeList):
subset = [self.items[i] for i in self._selection]
featuresubset = widget.AttributeList(subset)
self.Outputs.selected_data.send(datasubset)
self.Outputs.annotated_data.send(create_annotated_table(self.items, self._selection))
self.Outputs.features.send(featuresubset)
def onDeleteWidget(self):
super().onDeleteWidget()
self.clear()
def send_report(self):
annot = self.annot_combo.currentText()
if self.annotation_idx <= 1:
annot = annot.lower()
self.report_items((
("Sorting", self.sorting_cb.currentText().lower()),
("Annotations", annot)
))
if self.matrix is not None:
self.report_plot()