class OWFeatureConstructor(OWWidget):
name = "Feature Constructor"
description = "Construct new features (data columns) from a set of " \
"existing features in the input data set."
icon = "icons/FeatureConstructor.svg"
inputs = [("Data", Orange.data.Table, "setData")]
outputs = [("Data", Orange.data.Table)]
want_main_area = False
settingsHandler = FeatureConstructorSettingsHandler()
descriptors = ContextSetting([])
currentIndex = ContextSetting(-1)
EDITORS = [
(ContinuousDescriptor, ContinuousFeatureEditor),
(DiscreteDescriptor, DiscreteFeatureEditor),
(StringDescriptor, StringFeatureEditor)
]
class Error(OWWidget.Error):
more_values_needed = Msg("Discrete feature {} needs more values.")
invalid_expressions = Msg("Invalid expressions: {}.")
def __init__(self):
super().__init__()
self.data = None
self.editors = {}
box = gui.vBox(self.controlArea, "Variable Definitions")
toplayout = QHBoxLayout()
toplayout.setContentsMargins(0, 0, 0, 0)
box.layout().addLayout(toplayout)
self.editorstack = QStackedWidget(
sizePolicy=QSizePolicy(QSizePolicy.MinimumExpanding,
QSizePolicy.MinimumExpanding)
)
for descclass, editorclass in self.EDITORS:
editor = editorclass()
editor.featureChanged.connect(self._on_modified)
self.editors[descclass] = editor
self.editorstack.addWidget(editor)
self.editorstack.setEnabled(False)
buttonlayout = QVBoxLayout(spacing=10)
buttonlayout.setContentsMargins(0, 0, 0, 0)
self.addbutton = QPushButton(
"New", toolTip="Create a new variable",
minimumWidth=120,
shortcut=QKeySequence.New
)
def unique_name(fmt, reserved):
candidates = (fmt.format(i) for i in count(1))
return next(c for c in candidates if c not in reserved)
def reserved_names():
varnames = []
if self.data is not None:
varnames = [var.name for var in
self.data.domain.variables + self.data.domain.metas]
varnames += [desc.name for desc in self.featuremodel]
return set(varnames)
def generate_newname(fmt):
return unique_name(fmt, reserved_names())
menu = QMenu(self.addbutton)
cont = menu.addAction("Continuous")
cont.triggered.connect(
lambda: self.addFeature(
ContinuousDescriptor(generate_newname("X{}"), "", 3))
)
disc = menu.addAction("Discrete")
disc.triggered.connect(
lambda: self.addFeature(
DiscreteDescriptor(generate_newname("D{}"), "",
("A", "B"), -1, False))
)
string = menu.addAction("String")
string.triggered.connect(
lambda: self.addFeature(
StringDescriptor(generate_newname("S{}"), ""))
)
menu.addSeparator()
self.duplicateaction = menu.addAction("Duplicate Selected Variable")
self.duplicateaction.triggered.connect(self.duplicateFeature)
self.duplicateaction.setEnabled(False)
self.addbutton.setMenu(menu)
self.removebutton = QPushButton(
"Remove", toolTip="Remove selected variable",
minimumWidth=120,
shortcut=QKeySequence.Delete
)
self.removebutton.clicked.connect(self.removeSelectedFeature)
buttonlayout.addWidget(self.addbutton)
buttonlayout.addWidget(self.removebutton)
buttonlayout.addStretch(10)
toplayout.addLayout(buttonlayout, 0)
toplayout.addWidget(self.editorstack, 10)
# Layout for the list view
layout = QVBoxLayout(spacing=1, margin=0)
self.featuremodel = DescriptorModel(parent=self)
self.featureview = QListView(
minimumWidth=200,
sizePolicy=QSizePolicy(QSizePolicy.Minimum,
QSizePolicy.MinimumExpanding)
)
self.featureview.setItemDelegate(FeatureItemDelegate(self))
self.featureview.setModel(self.featuremodel)
self.featureview.selectionModel().selectionChanged.connect(
self._on_selectedVariableChanged
)
layout.addWidget(self.featureview)
box.layout().addLayout(layout, 1)
box = gui.hBox(self.controlArea)
box.layout().addWidget(self.report_button)
self.report_button.setMinimumWidth(180)
gui.rubber(box)
commit = gui.button(box, self, "Send", callback=self.apply,
default=True)
commit.setMinimumWidth(180)
def setCurrentIndex(self, index):
index = min(index, len(self.featuremodel) - 1)
self.currentIndex = index
if index >= 0:
itemmodels.select_row(self.featureview, index)
desc = self.featuremodel[min(index, len(self.featuremodel) - 1)]
editor = self.editors[type(desc)]
self.editorstack.setCurrentWidget(editor)
editor.setEditorData(desc, self.data.domain if self.data else None)
self.editorstack.setEnabled(index >= 0)
self.duplicateaction.setEnabled(index >= 0)
self.removebutton.setEnabled(index >= 0)
def _on_selectedVariableChanged(self, selected, *_):
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
else:
self.setCurrentIndex(-1)
def _on_modified(self):
if self.currentIndex >= 0:
editor = self.editorstack.currentWidget()
self.featuremodel[self.currentIndex] = editor.editorData()
self.descriptors = list(self.featuremodel)
def setDescriptors(self, descriptors):
"""
Set a list of variable descriptors to edit.
"""
self.descriptors = descriptors
self.featuremodel[:] = list(self.descriptors)
@check_sql_input
def setData(self, data=None):
"""Set the input dataset."""
self.closeContext()
self.data = data
if self.data is not None:
descriptors = list(self.descriptors)
currindex = self.currentIndex
self.descriptors = []
self.currentIndex = -1
self.openContext(data)
if descriptors != self.descriptors or \
self.currentIndex != currindex:
# disconnect from the selection model while reseting the model
selmodel = self.featureview.selectionModel()
selmodel.selectionChanged.disconnect(
self._on_selectedVariableChanged)
self.featuremodel[:] = list(self.descriptors)
self.setCurrentIndex(self.currentIndex)
selmodel.selectionChanged.connect(
self._on_selectedVariableChanged)
self.editorstack.setEnabled(self.currentIndex >= 0)
def handleNewSignals(self):
if self.data is not None:
self.apply()
else:
self.send("Data", None)
def addFeature(self, descriptor):
self.featuremodel.append(descriptor)
self.setCurrentIndex(len(self.featuremodel) - 1)
editor = self.editorstack.currentWidget()
editor.nameedit.setFocus()
editor.nameedit.selectAll()
def removeFeature(self, index):
del self.featuremodel[index]
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
elif index is None and len(self.featuremodel) > 0:
# Deleting the last item clears selection
self.setCurrentIndex(len(self.featuremodel) - 1)
def removeSelectedFeature(self):
if self.currentIndex >= 0:
self.removeFeature(self.currentIndex)
def duplicateFeature(self):
desc = self.featuremodel[self.currentIndex]
self.addFeature(copy.deepcopy(desc))
def check_attrs_values(self, attr, data):
for i in range(len(data)):
for var in attr:
if not math.isnan(data[i, var]) \
and int(data[i, var]) >= len(var.values):
return var.name
return None
def _validate_descriptors(self, desc):
def validate(source):
try:
return validate_exp(ast.parse(source, mode="eval"))
except Exception:
return False
final = []
invalid = []
for d in desc:
if validate(d.expression):
final.append(d)
else:
final.append(d._replace(expression=""))
invalid.append(d)
if invalid:
self.Error.invalid_expressions(", ".join(s.name for s in invalid))
return final
def apply(self):
self.Error.clear()
if self.data is None:
return
desc = list(self.featuremodel)
desc = self._validate_descriptors(desc)
source_vars = tuple(self.data.domain) + self.data.domain.metas
new_variables = construct_variables(desc, source_vars)
attrs = [var for var in new_variables if var.is_primitive()]
metas = [var for var in new_variables if not var.is_primitive()]
new_domain = Orange.data.Domain(
self.data.domain.attributes + tuple(attrs),
self.data.domain.class_vars,
metas=self.data.domain.metas + tuple(metas)
)
try:
data = Orange.data.Table(new_domain, self.data)
except Exception as err:
log = logging.getLogger(__name__)
log.error("", exc_info=True)
self.error("".join(format_exception_only(type(err), err)).rstrip())
return
disc_attrs_not_ok = self.check_attrs_values(
[var for var in attrs if var.is_discrete], data)
if disc_attrs_not_ok:
self.Error.more_values_needed(disc_attrs_not_ok)
return
self.send("Data", data)
def send_report(self):
items = OrderedDict()
for feature in self.featuremodel:
if isinstance(feature, DiscreteDescriptor):
items[feature.name] = "{} (discrete with values {}{})".format(
feature.expression, feature.values,
"; ordered" * feature.ordered)
elif isinstance(feature, ContinuousDescriptor):
items[feature.name] = "{} (numeric)".format(feature.expression)
else:
items[feature.name] = "{} (text)".format(feature.expression)
self.report_items(
report.plural("Constructed feature{s}", len(items)), items)
class OWFeatureConstructor(OWWidget):
name = "Feature Constructor"
description = "Construct new features (data columns) from a set of " \
"existing features in the input data set."
icon = "icons/FeatureConstructor.svg"
class Inputs:
data = Input("Data", Orange.data.Table)
class Outputs:
data = Output("Data", Orange.data.Table)
want_main_area = False
settingsHandler = FeatureConstructorHandler()
descriptors = ContextSetting([])
currentIndex = ContextSetting(-1)
EDITORS = [
(ContinuousDescriptor, ContinuousFeatureEditor),
(DiscreteDescriptor, DiscreteFeatureEditor),
(StringDescriptor, StringFeatureEditor)
]
class Error(OWWidget.Error):
more_values_needed = Msg("Categorical feature {} needs more values.")
invalid_expressions = Msg("Invalid expressions: {}.")
def __init__(self):
super().__init__()
self.data = None
self.editors = {}
box = gui.vBox(self.controlArea, "Variable Definitions")
toplayout = QHBoxLayout()
toplayout.setContentsMargins(0, 0, 0, 0)
box.layout().addLayout(toplayout)
self.editorstack = QStackedWidget(
sizePolicy=QSizePolicy(QSizePolicy.MinimumExpanding,
QSizePolicy.MinimumExpanding)
)
for descclass, editorclass in self.EDITORS:
editor = editorclass()
editor.featureChanged.connect(self._on_modified)
self.editors[descclass] = editor
self.editorstack.addWidget(editor)
self.editorstack.setEnabled(False)
buttonlayout = QVBoxLayout(spacing=10)
buttonlayout.setContentsMargins(0, 0, 0, 0)
self.addbutton = QPushButton(
"New", toolTip="Create a new variable",
minimumWidth=120,
shortcut=QKeySequence.New
)
def unique_name(fmt, reserved):
candidates = (fmt.format(i) for i in count(1))
return next(c for c in candidates if c not in reserved)
def reserved_names():
varnames = []
if self.data is not None:
varnames = [var.name for var in
self.data.domain.variables + self.data.domain.metas]
varnames += [desc.name for desc in self.featuremodel]
return set(varnames)
def generate_newname(fmt):
return unique_name(fmt, reserved_names())
menu = QMenu(self.addbutton)
cont = menu.addAction("Numeric")
cont.triggered.connect(
lambda: self.addFeature(
ContinuousDescriptor(generate_newname("X{}"), "", 3))
)
disc = menu.addAction("Categorical")
disc.triggered.connect(
lambda: self.addFeature(
DiscreteDescriptor(generate_newname("D{}"), "",
("A", "B"), -1, False))
)
string = menu.addAction("Text")
string.triggered.connect(
lambda: self.addFeature(
StringDescriptor(generate_newname("S{}"), ""))
)
menu.addSeparator()
self.duplicateaction = menu.addAction("Duplicate Selected Variable")
self.duplicateaction.triggered.connect(self.duplicateFeature)
self.duplicateaction.setEnabled(False)
self.addbutton.setMenu(menu)
self.removebutton = QPushButton(
"Remove", toolTip="Remove selected variable",
minimumWidth=120,
shortcut=QKeySequence.Delete
)
self.removebutton.clicked.connect(self.removeSelectedFeature)
buttonlayout.addWidget(self.addbutton)
buttonlayout.addWidget(self.removebutton)
buttonlayout.addStretch(10)
toplayout.addLayout(buttonlayout, 0)
toplayout.addWidget(self.editorstack, 10)
# Layout for the list view
layout = QVBoxLayout(spacing=1, margin=0)
self.featuremodel = DescriptorModel(parent=self)
self.featureview = QListView(
minimumWidth=200,
sizePolicy=QSizePolicy(QSizePolicy.Minimum,
QSizePolicy.MinimumExpanding)
)
self.featureview.setItemDelegate(FeatureItemDelegate(self))
self.featureview.setModel(self.featuremodel)
self.featureview.selectionModel().selectionChanged.connect(
self._on_selectedVariableChanged
)
layout.addWidget(self.featureview)
box.layout().addLayout(layout, 1)
box = gui.hBox(self.controlArea)
gui.rubber(box)
commit = gui.button(box, self, "Send", callback=self.apply,
default=True)
commit.setMinimumWidth(180)
def setCurrentIndex(self, index):
index = min(index, len(self.featuremodel) - 1)
self.currentIndex = index
if index >= 0:
itemmodels.select_row(self.featureview, index)
desc = self.featuremodel[min(index, len(self.featuremodel) - 1)]
editor = self.editors[type(desc)]
self.editorstack.setCurrentWidget(editor)
editor.setEditorData(desc, self.data.domain if self.data else None)
self.editorstack.setEnabled(index >= 0)
self.duplicateaction.setEnabled(index >= 0)
self.removebutton.setEnabled(index >= 0)
def _on_selectedVariableChanged(self, selected, *_):
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
else:
self.setCurrentIndex(-1)
def _on_modified(self):
if self.currentIndex >= 0:
editor = self.editorstack.currentWidget()
self.featuremodel[self.currentIndex] = editor.editorData()
self.descriptors = list(self.featuremodel)
def setDescriptors(self, descriptors):
"""
Set a list of variable descriptors to edit.
"""
self.descriptors = descriptors
self.featuremodel[:] = list(self.descriptors)
@Inputs.data
@check_sql_input
def setData(self, data=None):
"""Set the input dataset."""
self.closeContext()
self.data = data
if self.data is not None:
descriptors = list(self.descriptors)
currindex = self.currentIndex
self.descriptors = []
self.currentIndex = -1
self.openContext(data)
if descriptors != self.descriptors or \
self.currentIndex != currindex:
# disconnect from the selection model while reseting the model
selmodel = self.featureview.selectionModel()
selmodel.selectionChanged.disconnect(
self._on_selectedVariableChanged)
self.featuremodel[:] = list(self.descriptors)
self.setCurrentIndex(self.currentIndex)
selmodel.selectionChanged.connect(
self._on_selectedVariableChanged)
self.editorstack.setEnabled(self.currentIndex >= 0)
def handleNewSignals(self):
if self.data is not None:
self.apply()
else:
self.Outputs.data.send(None)
def addFeature(self, descriptor):
self.featuremodel.append(descriptor)
self.setCurrentIndex(len(self.featuremodel) - 1)
editor = self.editorstack.currentWidget()
editor.nameedit.setFocus()
editor.nameedit.selectAll()
def removeFeature(self, index):
del self.featuremodel[index]
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
elif index is None and len(self.featuremodel) > 0:
# Deleting the last item clears selection
self.setCurrentIndex(len(self.featuremodel) - 1)
def removeSelectedFeature(self):
if self.currentIndex >= 0:
self.removeFeature(self.currentIndex)
def duplicateFeature(self):
desc = self.featuremodel[self.currentIndex]
self.addFeature(copy.deepcopy(desc))
def check_attrs_values(self, attr, data):
for i in range(len(data)):
for var in attr:
if not math.isnan(data[i, var]) \
and int(data[i, var]) >= len(var.values):
return var.name
return None
def _validate_descriptors(self, desc):
def validate(source):
try:
return validate_exp(ast.parse(source, mode="eval"))
except Exception:
return False
final = []
invalid = []
for d in desc:
if validate(d.expression):
final.append(d)
else:
final.append(d._replace(expression=""))
invalid.append(d)
if invalid:
self.Error.invalid_expressions(", ".join(s.name for s in invalid))
return final
def apply(self):
self.Error.clear()
if self.data is None:
return
desc = list(self.featuremodel)
desc = self._validate_descriptors(desc)
source_vars = self.data.domain.variables + self.data.domain.metas
new_variables = construct_variables(desc, source_vars)
attrs = [var for var in new_variables if var.is_primitive()]
metas = [var for var in new_variables if not var.is_primitive()]
new_domain = Orange.data.Domain(
self.data.domain.attributes + tuple(attrs),
self.data.domain.class_vars,
metas=self.data.domain.metas + tuple(metas)
)
try:
data = self.data.transform(new_domain)
except Exception as err:
log = logging.getLogger(__name__)
log.error("", exc_info=True)
self.error("".join(format_exception_only(type(err), err)).rstrip())
return
disc_attrs_not_ok = self.check_attrs_values(
[var for var in attrs if var.is_discrete], data)
if disc_attrs_not_ok:
self.Error.more_values_needed(disc_attrs_not_ok)
return
self.Outputs.data.send(data)
def send_report(self):
items = OrderedDict()
for feature in self.featuremodel:
if isinstance(feature, DiscreteDescriptor):
items[feature.name] = "{} (categorical with values {}{})".format(
feature.expression, feature.values,
"; ordered" * feature.ordered)
elif isinstance(feature, ContinuousDescriptor):
items[feature.name] = "{} (numeric)".format(feature.expression)
else:
items[feature.name] = "{} (text)".format(feature.expression)
self.report_items(
report.plural("Constructed feature{s}", len(items)), items)
class ImagePlot(QWidget, OWComponent):
attr_x = ContextSetting(None)
attr_y = ContextSetting(None)
gamma = Setting(0)
threshold_low = Setting(0.0)
threshold_high = Setting(1.0)
palette_index = Setting(0)
def __init__(self, parent, select_fn=None):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
self.parent = parent
self.select_fn = select_fn
self.selection_type = SELECTMANY
self.saving_enabled = hasattr(self.parent, "save_graph")
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
self.selection = None
self.plotview = pg.PlotWidget(background="w", viewBox=InteractiveViewBox(self))
self.plot = self.plotview.getPlotItem()
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.vb.setAspectLocked()
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("View", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
actions = []
zoom_in = QAction(
"Zoom in", self, triggered=self.plot.vb.set_mode_zooming
)
zoom_in.setShortcuts([Qt.Key_Z, QKeySequence(QKeySequence.ZoomIn)])
zoom_in.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(zoom_in)
zoom_fit = QAction(
"Zoom to fit", self,
triggered=lambda x: (self.plot.vb.autoRange(), self.plot.vb.set_mode_panning())
)
zoom_fit.setShortcuts([Qt.Key_Backspace, QKeySequence(Qt.ControlModifier | Qt.Key_0)])
zoom_fit.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(zoom_fit)
select_square = QAction(
"Select (square)", self, triggered=self.plot.vb.set_mode_select_square,
)
select_square.setShortcuts([Qt.Key_S])
select_square.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_square)
select_polygon = QAction(
"Select (polygon)", self, triggered=self.plot.vb.set_mode_select_polygon,
)
select_polygon.setShortcuts([Qt.Key_P])
select_polygon.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_polygon)
if self.saving_enabled:
save_graph = QAction(
"Save graph", self, triggered=self.save_graph,
)
save_graph.setShortcuts([QKeySequence(Qt.ControlModifier | Qt.Key_I)])
actions.append(save_graph)
view_menu.addActions(actions)
self.addActions(actions)
common_options = dict(
labelWidth=50, orientation=Qt.Horizontal, sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES, valid_types=DomainModel.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)
box.setFocusProxy(self.cb_attr_x)
self.color_cb = gui.comboBox(box, self, "palette_index", label="Color:",
labelWidth=50, orientation=Qt.Horizontal)
self.color_cb.setIconSize(QSize(64, 16))
palettes = _color_palettes
self.palette_index = min(self.palette_index, len(palettes) - 1)
model = color_palette_model(palettes, self.color_cb.iconSize())
model.setParent(self)
self.color_cb.setModel(model)
self.color_cb.activated.connect(self.update_color_schema)
self.color_cb.setCurrentIndex(self.palette_index)
form = QFormLayout(
formAlignment=Qt.AlignLeft,
labelAlignment=Qt.AlignLeft,
fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow
)
lowslider = gui.hSlider(
box, self, "threshold_low", minValue=0.0, maxValue=1.0,
step=0.05, ticks=True, intOnly=False,
createLabel=False, callback=self.update_color_schema)
highslider = gui.hSlider(
box, self, "threshold_high", minValue=0.0, maxValue=1.0,
step=0.05, ticks=True, intOnly=False,
createLabel=False, callback=self.update_color_schema)
form.addRow("Low:", lowslider)
form.addRow("High:", highslider)
box.layout().addLayout(form)
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.markings_integral = []
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def help_event(self, ev):
pos = self.plot.vb.mapSceneToView(ev.scenePos())
sel = self._points_at_pos(pos)
prepared = []
if sel is not None:
data, vals, points = self.data[sel], self.data_values[sel], self.data_points[sel]
for d, v, p in zip(data, vals, points):
basic = "({}, {}): {}".format(p[0], p[1], v)
variables = [ v for v in self.data.domain.metas + self.data.domain.class_vars
if v not in [self.attr_x, self.attr_y]]
features = ['{} = {}'.format(attr.name, d[attr]) for attr in variables]
prepared.append("\n".join([basic] + features))
text = "\n\n".join(prepared)
if text:
text = ('<span style="white-space:pre">{}</span>'
.format(escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def update_color_schema(self):
if not self.threshold_low < self.threshold_high:
# TODO this belongs here, not in the parent
self.parent.Warning.threshold_error()
return
else:
self.parent.Warning.threshold_error.clear()
data = self.color_cb.itemData(self.palette_index, role=Qt.UserRole)
_, colors = max(data.items())
cols = color_palette_table(
colors, threshold_low=self.threshold_low,
threshold_high=self.threshold_high)
self.img.setLookupTable(cols)
# use defined discrete palette
if self.parent.value_type == 1:
dat = self.data.domain[self.parent.attr_value]
if isinstance(dat, DiscreteVariable):
self.img.setLookupTable(dat.colors)
def update_attr(self):
self.update_view()
def init_attr_values(self):
domain = self.data.domain if self.data is not None else None
self.xy_model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
self.attr_y = self.xy_model[1] if len(self.xy_model) >= 2 \
else self.attr_x
def save_graph(self):
self.parent.save_graph()
def set_data(self, data):
self.img.clear()
if data is not None:
same_domain = (self.data and
data.domain.checksum() == self.data.domain.checksum())
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
if not same_domain:
self.init_attr_values()
else:
self.data = None
self.data_ids = {}
def set_integral_limits(self):
self.update_view()
def refresh_markings(self, di):
refresh_integral_markings(di, self.markings_integral, self.parent.curveplot)
def update_view(self):
self.img.clear()
self.img.setSelection(None)
self.lsx = None
self.lsy = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
if self.data and self.attr_x and self.attr_y:
xat = self.data.domain[self.attr_x]
yat = self.data.domain[self.attr_y]
ndom = Orange.data.Domain([xat, yat])
datam = Orange.data.Table(ndom, self.data)
coorx = datam.X[:, 0]
coory = datam.X[:, 1]
self.data_points = datam.X
self.lsx = lsx = values_to_linspace(coorx)
self.lsy = lsy = values_to_linspace(coory)
if lsx[-1] * lsy[-1] > IMAGE_TOO_BIG:
self.parent.Error.image_too_big(lsx[-1], lsy[-1])
return
else:
self.parent.Error.image_too_big.clear()
di = {}
if self.parent.value_type == 0: # integrals
imethod = self.parent.integration_methods[self.parent.integration_method]
l1, l2, l3 = self.parent.lowlim, self.parent.highlim, self.parent.choose
gx = getx(self.data)
if l1 is None:
l1 = min(gx) - 1
if l2 is None:
l2 = max(gx) + 1
l1, l2 = min(l1, l2), max(l1, l2)
if l3 is None:
l3 = (l1 + l2)/2
if imethod != Integrate.PeakAt:
datai = Integrate(methods=imethod, limits=[[l1, l2]])(self.data)
else:
datai = Integrate(methods=imethod, limits=[[l3, l3]])(self.data)
if self.parent.curveplot.selected_indices:
# curveplot can have a subset of curves on the input> match IDs
ind = list(self.parent.curveplot.selected_indices)[0]
dind = self.data_ids[self.parent.curveplot.data[ind].id]
di = datai.domain.attributes[0].compute_value.draw_info(self.data[dind:dind+1])
d = datai.X[:, 0]
else:
dat = self.data.domain[self.parent.attr_value]
ndom = Orange.data.Domain([dat])
d = Orange.data.Table(ndom, self.data).X[:, 0]
self.refresh_markings(di)
# set data
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
# if previous or saved selection is valid for this data set keep it
if self.selection is None or len(self.selection) != len(self.data):
self.selection = np.zeros(len(self.data), dtype="bool")
xindex = index_values(coorx, lsx)
yindex = index_values(coory, lsy)
imdata[yindex, xindex] = d
self.data_values = d
self.data_imagepixels = np.vstack((yindex, xindex)).T
levels = get_levels(imdata)
self.update_color_schema()
self.img.setImage(imdata, levels=levels)
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1]-lsx[0]) + 2*shiftx
height = (lsy[1]-lsy[0]) + 2*shifty
self.img.setRect(QRectF(left, bottom, width, height))
self.send_selection()
self.refresh_img_selection()
def refresh_img_selection(self):
selected_px = np.zeros((self.lsy[2], self.lsx[2]), dtype=bool)
selected_px_ind = self.data_imagepixels[self.selection]
selected_px[selected_px_ind[:, 0], selected_px_ind[:, 1]] = 1
self.img.setSelection(selected_px)
def make_selection(self, selected, add):
"""Add selected indices to the selection."""
if self.data and self.lsx and self.lsy:
if selected is None and not add:
self.selection *= False # set all to False
elif selected is not None:
if add:
self.selection = np.logical_or(self.selection, selected)
else:
self.selection = selected
self.refresh_img_selection()
self.send_selection()
def send_selection(self):
if self.data and self.selection is not None:
selected = np.where(self.selection)[0]
else:
selected = []
if self.select_fn:
self.select_fn(selected)
def select_square(self, p1, p2, add):
""" Select elements within a square drawn by the user.
A selection needs to contain whole pixels """
x1, y1 = p1.x(), p1.y()
x2, y2 = p2.x(), p2.y()
polygon = [QPointF(x1, y1), QPointF(x2, y1), QPointF(x2, y2), QPointF(x1, y2), QPointF(x1, y1)]
self.select_polygon(polygon, add)
def select_polygon(self, polygon, add):
""" Select by a polygon which has to contain whole pixels. """
if self.data and self.lsx and self.lsy:
polygon = [(p.x(), p.y()) for p in polygon]
# a polygon should contain all pixel
shiftx = _shift(self.lsx)
shifty = _shift(self.lsy)
points_edges = [self.data_points + [[shiftx, shifty]],
self.data_points + [[-shiftx, shifty]],
self.data_points + [[shiftx, -shifty]],
self.data_points + [[-shiftx, -shifty]]]
inp = in_polygon(points_edges[0], polygon)
for p in points_edges[1:]:
inp *= in_polygon(p, polygon)
self.make_selection(inp, add)
def _points_at_pos(self, pos):
if self.data and self.lsx and self.lsy:
x, y = pos.x(), pos.y()
distance = np.abs(self.data_points - [[x, y]])
sel = (distance[:, 0] < _shift(self.lsx)) * (distance[:, 1] < _shift(self.lsy))
return sel
def select_by_click(self, pos, add):
sel = self._points_at_pos(pos)
self.make_selection(sel, add)
class CurvePlot(QWidget, OWComponent):
label_title = Setting("")
label_xaxis = Setting("")
label_yaxis = Setting("")
range_x1 = Setting(None)
range_x2 = Setting(None)
range_y1 = Setting(None)
range_y2 = Setting(None)
color_attr = ContextSetting(0)
invertX = Setting(False)
selected_indices = Setting(set())
data_size = Setting(None) # to invalidate selected_indices
def __init__(self, parent=None, select=SELECTNONE):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
self.parent = parent
self.selection_type = select
self.saving_enabled = hasattr(self.parent, "save_graph")
self.clear_data(init=True)
self.plotview = pg.PlotWidget(background="w", viewBox=InteractiveViewBox(self))
self.plot = self.plotview.getPlotItem()
self.plot.setDownsampling(auto=True, mode="peak")
self.markings = []
self.vLine = pg.InfiniteLine(angle=90, movable=False)
self.hLine = pg.InfiniteLine(angle=0, movable=False)
self.proxy = pg.SignalProxy(self.plot.scene().sigMouseMoved, rateLimit=20, slot=self.mouseMoved, delay=0.1)
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
self.plot.vb.sigRangeChanged.connect(self.resized)
self.pen_mouse = pg.mkPen(color=(0, 0, 255), width=2)
self.pen_normal = defaultdict(lambda: pg.mkPen(color=(200, 200, 200, 127), width=1))
self.pen_subset = defaultdict(lambda: pg.mkPen(color=(0, 0, 0, 127), width=1))
self.pen_selected = defaultdict(lambda: pg.mkPen(color=(0, 0, 0, 127), width=2, style=Qt.DotLine))
self.label = pg.TextItem("", anchor=(1, 0))
self.label.setText("", color=(0, 0, 0))
self.discrete_palette = None
QPixmapCache.setCacheLimit(max(QPixmapCache.cacheLimit(), 100 * 1024))
self.curves_cont = PlotCurvesItem()
self.important_decimals = 4, 4
self.MOUSE_RADIUS = 20
self.clear_graph()
#interface settings
self.location = True #show current position
self.markclosest = True #mark
self.crosshair = True
self.crosshair_hidden = True
self.viewtype = INDIVIDUAL
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
actions = []
zoom_in = QAction(
"Zoom in", self, triggered=self.plot.vb.set_mode_zooming
)
zoom_in.setShortcuts([Qt.Key_Z, QKeySequence(QKeySequence.ZoomIn)])
actions.append(zoom_in)
zoom_fit = QAction(
"Zoom to fit", self,
triggered=lambda x: (self.plot.vb.autoRange(), self.plot.vb.set_mode_panning())
)
zoom_fit.setShortcuts([Qt.Key_Backspace, QKeySequence(Qt.ControlModifier | Qt.Key_0)])
actions.append(zoom_fit)
rescale_y = QAction(
"Rescale Y to fit", self, shortcut=Qt.Key_D,
triggered=self.rescale_current_view_y
)
actions.append(rescale_y)
view_individual = QAction(
"Show individual", self, shortcut=Qt.Key_I,
triggered=lambda x: self.show_individual()
)
actions.append(view_individual)
view_average = QAction(
"Show averages", self, shortcut=Qt.Key_A,
triggered=lambda x: self.show_average()
)
actions.append(view_average)
self.show_grid = False
self.show_grid_a = QAction(
"Show grid", self, shortcut=Qt.Key_G, checkable=True,
triggered=self.grid_changed
)
actions.append(self.show_grid_a)
self.invertX_menu = QAction(
"Invert X", self, shortcut=Qt.Key_X, checkable=True,
triggered=self.invertX_changed
)
actions.append(self.invertX_menu)
if self.selection_type == SELECTMANY:
select_curves = QAction(
"Select (line)", self, triggered=self.plot.vb.set_mode_select,
)
select_curves.setShortcuts([Qt.Key_S])
actions.append(select_curves)
if self.saving_enabled:
save_graph = QAction(
"Save graph", self, triggered=self.save_graph,
)
save_graph.setShortcuts([QKeySequence(Qt.ControlModifier | Qt.Key_S)])
actions.append(save_graph)
range_menu = MenuFocus("Define view range", self)
range_action = QWidgetAction(self)
layout = QGridLayout()
range_box = gui.widgetBox(self, margin=5, orientation=layout)
range_box.setFocusPolicy(Qt.TabFocus)
self.range_e_x1 = lineEditFloatOrNone(None, self, "range_x1", label="e")
range_box.setFocusProxy(self.range_e_x1)
self.range_e_x2 = lineEditFloatOrNone(None, self, "range_x2", label="e")
layout.addWidget(QLabel("X"), 0, 0, Qt.AlignRight)
layout.addWidget(self.range_e_x1, 0, 1)
layout.addWidget(QLabel("-"), 0, 2)
layout.addWidget(self.range_e_x2, 0, 3)
self.range_e_y1 = lineEditFloatOrNone(None, self, "range_y1", label="e")
self.range_e_y2 = lineEditFloatOrNone(None, self, "range_y2", label="e")
layout.addWidget(QLabel("Y"), 1, 0, Qt.AlignRight)
layout.addWidget(self.range_e_y1, 1, 1)
layout.addWidget(QLabel("-"), 1, 2)
layout.addWidget(self.range_e_y2, 1, 3)
b = gui.button(None, self, "Apply", callback=self.set_limits)
layout.addWidget(b, 2, 3, Qt.AlignRight)
range_action.setDefaultWidget(range_box)
range_menu.addAction(range_action)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("View", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
view_menu.addActions(actions)
view_menu.addMenu(range_menu)
self.addActions(actions)
choose_color_action = QWidgetAction(self)
choose_color_box = gui.hBox(self)
choose_color_box.setFocusPolicy(Qt.TabFocus)
model = VariableListModel()
self.attrs = []
model.wrap(self.attrs)
label = gui.label(choose_color_box, self, "Color by")
label.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
self.attrCombo = gui.comboBox(
choose_color_box, self, value="color_attr", contentsLength=12,
callback=self.change_color_attr)
self.attrCombo.setModel(model)
choose_color_box.setFocusProxy(self.attrCombo)
choose_color_action.setDefaultWidget(choose_color_box)
view_menu.addAction(choose_color_action)
labels_action = QWidgetAction(self)
layout = QGridLayout()
labels_box = gui.widgetBox(self, margin=0, orientation=layout)
t = gui.lineEdit(None, self, "label_title", label="Title:",
callback=self.labels_changed, callbackOnType=self.labels_changed)
layout.addWidget(QLabel("Title:"), 0, 0, Qt.AlignRight)
layout.addWidget(t, 0, 1)
t = gui.lineEdit(None, self, "label_xaxis", label="X-axis:",
callback=self.labels_changed, callbackOnType=self.labels_changed)
layout.addWidget(QLabel("X-axis:"), 1, 0, Qt.AlignRight)
layout.addWidget(t, 1, 1)
t = gui.lineEdit(None, self, "label_yaxis", label="Y-axis:",
callback=self.labels_changed, callbackOnType=self.labels_changed)
layout.addWidget(QLabel("Y-axis:"), 2, 0, Qt.AlignRight)
layout.addWidget(t, 2, 1)
labels_action.setDefaultWidget(labels_box)
view_menu.addAction(labels_action)
self.labels_changed() # apply saved labels
self.invertX_apply()
self.plot.vb.set_mode_panning()
self.reports = {} # current reports
self.viewhelpers_show()
def report(self, reporter, contents):
self.reports[id(reporter)] = contents
def report_finished(self, reporter):
try:
self.reports.pop(id(reporter))
except KeyError:
pass # ok if it was already removed
if not self.reports:
pass
def set_limits(self):
vr = self.plot.vb.viewRect()
x1 = self.range_x1 if self.range_x1 is not None else vr.left()
x2 = self.range_x2 if self.range_x2 is not None else vr.right()
y1 = self.range_y1 if self.range_y1 is not None else vr.top()
y2 = self.range_y2 if self.range_y2 is not None else vr.bottom()
self.plot.vb.setXRange(x1, x2)
self.plot.vb.setYRange(y1, y2)
def labels_changed(self):
self.plot.setTitle(self.label_title)
if not self.label_title:
self.plot.setTitle(None)
self.plot.setLabels(bottom=self.label_xaxis)
self.plot.showLabel("bottom", bool(self.label_xaxis))
self.plot.getAxis("bottom").resizeEvent() # align text
self.plot.setLabels(left=self.label_yaxis)
self.plot.showLabel("left", bool(self.label_yaxis))
self.plot.getAxis("left").resizeEvent() # align text
def grid_changed(self):
self.show_grid = not self.show_grid
self.grid_apply()
def grid_apply(self):
self.plot.showGrid(self.show_grid, self.show_grid, alpha=0.3)
self.show_grid_a.setChecked(self.show_grid)
def invertX_changed(self):
self.invertX = not self.invertX
self.invertX_apply()
def invertX_apply(self):
self.plot.vb.invertX(self.invertX)
self.resized()
# force redraw of axes (to avoid a pyqtgraph bug)
vr = self.plot.vb.viewRect()
self.plot.vb.setRange(xRange=(0,1), yRange=(0,1))
self.plot.vb.setRange(rect=vr)
self.invertX_menu.setChecked(self.invertX)
def save_graph(self):
self.viewhelpers_hide()
self.plot.showAxis("top", True)
self.plot.showAxis("right", True)
self.parent.save_graph()
self.plot.showAxis("top", False)
self.plot.showAxis("right", False)
self.viewhelpers_show()
def clear_data(self, init=True):
self.subset_ids = set()
self.data = None
self.data_x = None
self.data_ys = None
self.sampled_indices = []
self.sampled_indices_inverse = {}
self.sampling = None
if not init:
self.selection_changed()
self.discrete_palette = None
def clear_graph(self):
# reset caching. if not, it is not cleared when view changing when zoomed
self.highlighted = None
self.curves_cont.setCacheMode(QGraphicsItem.NoCache)
self.curves_cont.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
self.plot.vb.disableAutoRange()
self.curves_cont.clear()
self.curves_cont.update()
self.plotview.clear()
self.curves_plotted = [] # currently plotted elements (for rescale)
self.curves = [] # for finding closest curve
self.plotview.addItem(self.label, ignoreBounds=True)
self.highlighted_curve = pg.PlotCurveItem(pen=self.pen_mouse)
self.highlighted_curve.setZValue(10)
self.highlighted_curve.hide()
self.selection_line = pg.PlotCurveItem()
self.selection_line.setPen(pg.mkPen(color=QColor(Qt.black), width=2, style=Qt.DotLine))
self.selection_line.setZValue(1e9)
self.selection_line.hide()
self.plot.addItem(self.highlighted_curve)
self.plot.addItem(self.vLine, ignoreBounds=True)
self.plot.addItem(self.hLine, ignoreBounds=True)
self.viewhelpers = True
self.plot.addItem(self.selection_line, ignoreBounds=True)
self.plot.addItem(self.curves_cont)
for m in self.markings:
self.plot.addItem(m, ignoreBounds=True)
def resized(self):
vr = self.plot.vb.viewRect()
xpixel, ypixel = self.plot.vb.viewPixelSize()
def important_decimals(n):
return max(-int(math.floor(math.log10(n))) + 1, 0)
self.important_decimals = important_decimals(xpixel), important_decimals(ypixel)
if self.invertX:
self.label.setPos(vr.bottomLeft())
else:
self.label.setPos(vr.bottomRight())
xd, yd = self.important_decimals
self.range_e_x1.setPlaceholderText(("%0." + str(xd) + "f") % vr.left())
self.range_e_x2.setPlaceholderText(("%0." + str(xd) + "f") % vr.right())
self.range_e_y1.setPlaceholderText(("%0." + str(yd) + "f") % vr.top())
self.range_e_y2.setPlaceholderText(("%0." + str(yd) + "f") % vr.bottom())
def make_selection(self, data_indices, add=False):
selected_indices = self.selected_indices
oldids = selected_indices.copy()
invd = self.sampled_indices_inverse
if data_indices is None:
if not add:
selected_indices.clear()
self.set_curve_pens([invd[a] for a in oldids if a in invd])
else:
if add:
selected_indices.update(data_indices)
self.set_curve_pens([invd[a] for a in data_indices if a in invd])
else:
selected_indices.clear()
selected_indices.update(data_indices)
self.set_curve_pens([invd[a] for a in (oldids | selected_indices) if a in invd])
self.selection_changed()
def selection_changed(self):
if self.selection_type:
self.parent.selection_changed()
def viewhelpers_hide(self):
self.label.hide()
self.vLine.hide()
self.hLine.hide()
def viewhelpers_show(self):
self.label.show()
if self.crosshair and not self.crosshair_hidden:
self.vLine.show()
self.hLine.show()
else:
self.vLine.hide()
self.hLine.hide()
def mouseMoved(self, evt):
pos = evt[0]
if self.plot.sceneBoundingRect().contains(pos):
mousePoint = self.plot.vb.mapSceneToView(pos)
posx, posy = mousePoint.x(), mousePoint.y()
labels = []
for a, vs in sorted(self.reports.items()):
for v in vs:
if isinstance(v, tuple) and len(v) == 2:
if v[0] == "x":
labels.append(("%0." + str(self.important_decimals[0]) + "f") % v[1])
continue
labels.append(str(v))
labels = " ".join(labels)
self.crosshair_hidden = bool(labels)
if self.location and not labels:
fs = "%0." + str(self.important_decimals[0]) + "f %0." + str(self.important_decimals[1]) + "f"
labels = fs % (posx, posy)
self.label.setText(labels, color=(0, 0, 0))
if self.curves and len(self.curves[0][0]): #need non-zero x axis!
cache = {}
bd = None
if self.markclosest and self.plot.vb.action != ZOOMING:
xpixel, ypixel = self.plot.vb.viewPixelSize()
distances = distancetocurves(self.curves[0], posx, posy, xpixel, ypixel, r=self.MOUSE_RADIUS, cache=cache)
try:
bd = np.nanargmin(distances)
bd = (bd, distances[bd])
except ValueError: # if all distances are NaN
pass
if self.highlighted is not None:
self.highlighted = None
self.highlighted_curve.hide()
if bd and bd[1] < self.MOUSE_RADIUS:
self.highlighted = bd[0]
x = self.curves[0][0]
y = self.curves[0][1][self.highlighted]
self.highlighted_curve.setData(x=x,y=y)
self.highlighted_curve.show()
self.vLine.setPos(posx)
self.hLine.setPos(posy)
self.viewhelpers_show()
else:
self.viewhelpers_hide()
def set_curve_pen(self, idc):
idcdata = self.sampled_indices[idc]
insubset = not self.subset_ids or self.data[idcdata].id in self.subset_ids
inselected = self.selection_type and idcdata in self.selected_indices
thispen = self.pen_subset if insubset else self.pen_normal
if inselected:
thispen = self.pen_selected
color_var = self._current_color_var()
value = None if isinstance(color_var, str) else str(self.data[idcdata][color_var])
self.curves_cont.objs[idc].setPen(thispen[value])
self.curves_cont.objs[idc].setZValue(int(insubset) + int(inselected))
def set_curve_pens(self, curves=None):
if self.viewtype == INDIVIDUAL and self.curves:
curves = range(len(self.curves[0][1])) if curves is None else curves
for i in curves:
self.set_curve_pen(i)
self.curves_cont.update()
def add_marking(self, item):
self.markings.append(item)
self.plot.addItem(item, ignoreBounds=True)
def remove_marking(self, item):
self.plot.removeItem(item)
self.markings.remove(item)
def clear_markings(self):
for m in self.markings:
self.plot.removeItem(m)
self.markings = []
def add_curves(self, x, ys, addc=True):
""" Add multiple curves with the same x domain. """
if len(ys) > MAX_INSTANCES_DRAWN:
self.sampled_indices = sorted(random.Random(0).sample(range(len(ys)), MAX_INSTANCES_DRAWN))
self.sampling = True
else:
self.sampled_indices = list(range(len(ys)))
random.Random(0).shuffle(self.sampled_indices) #for sequential classes#
self.sampled_indices_inverse = {s: i for i, s in enumerate(self.sampled_indices)}
ys = ys[self.sampled_indices]
self.curves.append((x, ys))
for y in ys:
c = pg.PlotCurveItem(x=x, y=y, pen=self.pen_normal[None])
self.curves_cont.add_curve(c)
self.curves_plotted = self.curves
def add_curve(self, x, y, pen=None):
c = pg.PlotCurveItem(x=x, y=y, pen=pen if pen else self.pen_normal[None])
self.curves_cont.add_curve(c)
# for rescale to work correctly
self.curves_plotted.append((x, np.array([y])))
def add_fill_curve(self, x, ylow, yhigh, pen):
phigh = pg.PlotCurveItem(x, yhigh, pen=pen)
plow = pg.PlotCurveItem(x, ylow, pen=pen)
color = pen.color()
color.setAlphaF(0.2)
cc = pg.mkBrush(color)
pfill = pg.FillBetweenItem(plow, phigh, brush=cc)
pfill.setZValue(10)
self.curves_cont.add_curve(pfill)
# for zoom to work correctly
self.curves_plotted.append((x, np.array([ylow, yhigh])))
def _current_color_var(self):
color_var = "(Same color)"
try:
color_var = self.attrs[self.color_attr]
except IndexError:
pass
return color_var
def change_color_attr(self):
self.set_pen_colors()
self.update_view()
def set_pen_colors(self):
self.pen_normal.clear()
self.pen_subset.clear()
self.pen_selected.clear()
color_var = self._current_color_var()
if color_var != "(Same color)":
colors = color_var.colors
discrete_palette = ColorPaletteGenerator(
number_of_colors=len(colors), rgb_colors=colors)
for v in color_var.values:
basecolor = discrete_palette[color_var.to_val(v)]
basecolor = QColor(basecolor)
basecolor.setAlphaF(0.9)
self.pen_subset[v] = pg.mkPen(color=basecolor, width=1)
self.pen_selected[v] = pg.mkPen(color=basecolor, width=2, style=Qt.DotLine)
notselcolor = basecolor.lighter(150)
notselcolor.setAlphaF(0.5)
self.pen_normal[v] = pg.mkPen(color=notselcolor, width=1)
def show_individual(self):
if not self.data:
return
self.viewtype = INDIVIDUAL
self.clear_graph()
self.add_curves(self.data_x, self.data_ys)
self.set_curve_pens()
self.curves_cont.update()
def rescale_current_view_y(self):
if self.curves_plotted:
cache = {}
qrect = self.plot.vb.targetRect()
bleft = qrect.left()
bright = qrect.right()
ymax = max(np.max(ys[:, searchsorted_cached(cache, x, bleft):
searchsorted_cached(cache, x, bright, side="right")])
for x, ys in self.curves_plotted)
ymin = min(np.min(ys[:, searchsorted_cached(cache, x, bleft):
searchsorted_cached(cache, x, bright, side="right")])
for x, ys in self.curves_plotted)
self.plot.vb.setYRange(ymin, ymax, padding=0.0)
self.plot.vb.pad_current_view_y()
def _split_by_color_value(self, data):
color_var = self._current_color_var()
rd = defaultdict(list)
for i, inst in enumerate(data):
value = None if isinstance(color_var, str) else str(inst[color_var])
rd[value].append(i)
return rd
def show_average(self):
if not self.data:
return
self.viewtype = AVERAGE
self.clear_graph()
x = self.data_x
if self.data:
ysall = []
subset_indices = [i for i, id in enumerate(self.data.ids) if id in self.subset_ids]
dsplit = self._split_by_color_value(self.data)
for colorv, indices in dsplit.items():
for part in ["everything", "subset", "selection"]:
if part == "everything":
ys = self.data_ys[indices]
pen = self.pen_normal if subset_indices else self.pen_subset
elif part == "selection" and self.selection_type:
current_selected = sorted(set(self.selected_indices) & set(indices))
if not current_selected:
continue
ys = self.data_ys[current_selected]
pen = self.pen_selected
elif part == "subset":
current_subset = sorted(set(subset_indices) & set(indices))
if not current_subset:
continue
ys = self.data_ys[current_subset]
pen = self.pen_subset
std = np.std(ys, axis=0)
mean = np.mean(ys, axis=0)
ysall.append(mean)
penc = QPen(pen[colorv])
penc.setWidth(3)
self.add_curve(x, mean, pen=penc)
self.add_fill_curve(x, mean + std, mean - std, pen=penc)
self.curves.append((x, np.array(ysall)))
self.curves_cont.update()
def update_view(self):
if self.viewtype == INDIVIDUAL:
self.show_individual()
elif self.viewtype == AVERAGE:
self.show_average()
def set_data(self, data, rescale="auto"):
self.clear_graph()
self.clear_data()
self.attrs[:] = []
if data is not None:
self.attrs[:] = ["(Same color)"] + [
var for var in chain(data.domain,
data.domain.metas)
if isinstance(var, str) or var.is_discrete]
self.color_attr = 0
self.set_pen_colors()
if data is not None:
if rescale == "auto":
if self.data:
rescale = not data.domain == self.data.domain
else:
rescale = True
self.data = data
# reset selection if dataset sizes do not match
if self.selected_indices and \
(max(self.selected_indices) >= len(self.data) or self.data_size != len(self.data)):
self.selected_indices.clear()
self.data_size = len(self.data)
# get and sort input data
x = getx(self.data)
xsind = np.argsort(x)
self.data_x = x[xsind]
self.data_ys = data.X[:, xsind]
self.update_view()
if rescale == True:
self.plot.vb.autoRange()
def update_display(self):
self.curves_cont.update()
def set_data_subset(self, ids):
self.subset_ids = set(ids) if ids is not None else set()
self.set_curve_pens()
self.update_view()
class LineScanPlot(QWidget, OWComponent, SelectionGroupMixin,
ImageColorSettingMixin, ImageZoomMixin):
attr_x = ContextSetting(None)
gamma = Setting(0)
selection_changed = Signal()
def __init__(self, parent):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
SelectionGroupMixin.__init__(self)
ImageColorSettingMixin.__init__(self)
self.parent = parent
self.selection_type = SELECTMANY
self.saving_enabled = True
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.data_points = None
self.data_imagepixels = None
self.plotview = pg.PlotWidget(background="w", viewBox=InteractiveViewBox(self))
self.plot = self.plotview.getPlotItem()
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("Menu", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
# prepare interface according to the new context
self.parent.contextAboutToBeOpened.connect(lambda x: self.init_interface_data(x[0]))
self.add_zoom_actions(view_menu)
common_options = dict(
labelWidth=50, orientation=Qt.Horizontal, sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.PRIMITIVE,
placeholder="Position (index)")
self.cb_attr_x = gui.comboBox(
box, self, "attr_x", label="Axis x:", callback=self.update_attr,
model=self.xy_model, **common_options)
box.setFocusProxy(self.cb_attr_x)
box.layout().addWidget(self.color_settings_box())
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def init_interface_data(self, data):
same_domain = (self.data and data and
data.domain == self.data.domain)
if not same_domain:
self.init_attr_values(data)
def help_event(self, ev):
pos = self.plot.vb.mapSceneToView(ev.scenePos())
sel, wavenumber_ind = self._points_at_pos(pos)
prepared = []
if sel is not None:
prepared.append(str(self.wavenumbers[wavenumber_ind]))
for d in self.data[sel]:
variables = [v for v in self.data.domain.metas + self.data.domain.class_vars
if v not in [self.attr_x]]
features = ['{} = {}'.format(attr.name, d[attr]) for attr in variables]
features.append('value = {}'.format(d[wavenumber_ind]))
prepared.append("\n".join(features))
text = "\n\n".join(prepared)
if text:
text = ('<span style="white-space:pre">{}</span>'
.format(escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def update_attr(self):
self.update_view()
def init_attr_values(self, data):
domain = data.domain if data is not None else None
self.xy_model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
def set_data(self, data):
if data:
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
self.restore_selection_settings()
else:
self.data = None
self.data_ids = {}
def update_view(self):
self.img.clear()
self.img.setSelection(None)
self.lsx = None
self.lsy = None
self.wavenumbers = None
self.data_xs = None
self.data_imagepixels = None
if self.data and len(self.data.domain.attributes):
if self.attr_x is not None:
xat = self.data.domain[self.attr_x]
ndom = Domain([xat])
datam = Table(ndom, self.data)
coorx = datam.X[:, 0]
else:
coorx = np.arange(len(self.data))
self.lsx = lsx = values_to_linspace(coorx)
self.data_xs = coorx
self.wavenumbers = wavenumbers = getx(self.data)
self.lsy = lsy = values_to_linspace(wavenumbers)
# set data
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
xindex = index_values(coorx, lsx)
yindex = index_values(wavenumbers, lsy)
for xind, d in zip(xindex, self.data.X):
imdata[yindex, xind] = d
self.data_imagepixels = xindex
self.img.setImage(imdata, autoLevels=False)
self.img.setLevels([0, 1])
self.update_levels()
self.update_color_schema()
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1]-lsx[0]) + 2*shiftx
height = (lsy[1]-lsy[0]) + 2*shifty
self.img.setRect(QRectF(left, bottom, width, height))
self.refresh_img_selection()
def refresh_img_selection(self):
selected_px = np.zeros((self.lsy[2], self.lsx[2]), dtype=np.uint8)
selected_px[:, self.data_imagepixels] = self.selection_group
self.img.setSelection(selected_px)
def make_selection(self, selected, add):
"""Add selected indices to the selection."""
add_to_group, add_group, remove = selection_modifiers()
if self.data and self.lsx and self.lsy:
if add_to_group: # both keys - need to test it before add_group
selnum = np.max(self.selection_group)
elif add_group:
selnum = np.max(self.selection_group) + 1
elif remove:
selnum = 0
else:
self.selection_group *= 0
selnum = 1
if selected is not None:
self.selection_group[selected] = selnum
self.refresh_img_selection()
self.prepare_settings_for_saving()
self.selection_changed.emit()
def _points_at_pos(self, pos):
if self.data and self.lsx and self.lsy:
x, y = pos.x(), pos.y()
x_distance = np.abs(self.data_xs - x)
sel = (x_distance < _shift(self.lsx))
wavenumber_distance = np.abs(self.wavenumbers - y)
wavenumber_ind = np.argmin(wavenumber_distance)
return sel, wavenumber_ind
return None, None
def select_by_click(self, pos, add):
sel, _ = self._points_at_pos(pos)
self.make_selection(sel, add)
class LineScanPlot(QWidget, OWComponent, SelectionGroupMixin,
ImageColorSettingMixin, ImageZoomMixin):
attr_x = ContextSetting(None)
gamma = Setting(0)
selection_changed = Signal()
def __init__(self, parent):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
SelectionGroupMixin.__init__(self)
ImageColorSettingMixin.__init__(self)
self.parent = parent
self.selection_type = SELECTMANY
self.saving_enabled = True
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.data_points = None
self.data_imagepixels = None
self.plotview = pg.GraphicsLayoutWidget()
self.plot = pg.PlotItem(background="w",
viewBox=InteractiveViewBox(self))
self.plotview.addItem(self.plot)
self.legend = ImageColorLegend()
self.plotview.addItem(self.legend)
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("Menu", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
# prepare interface according to the new context
self.parent.contextAboutToBeOpened.connect(
lambda x: self.init_interface_data(x[0]))
self.add_zoom_actions(view_menu)
common_options = dict(labelWidth=50,
orientation=Qt.Horizontal,
sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.PRIMITIVE,
placeholder="Position (index)")
self.cb_attr_x = gui.comboBox(box,
self,
"attr_x",
label="Axis x:",
callback=self.update_attr,
model=self.xy_model,
**common_options)
box.setFocusProxy(self.cb_attr_x)
box.layout().addWidget(self.setup_color_settings_box())
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def init_interface_data(self, data):
same_domain = (self.data and data and data.domain == self.data.domain)
if not same_domain:
self.init_attr_values(data)
def help_event(self, ev):
pos = self.plot.vb.mapSceneToView(ev.scenePos())
sel, wavenumber_ind = self._points_at_pos(pos)
prepared = []
if sel is not None:
prepared.append(str(self.wavenumbers[wavenumber_ind]))
for d in self.data[sel]:
variables = [
v for v in self.data.domain.metas +
self.data.domain.class_vars if v not in [self.attr_x]
]
features = [
'{} = {}'.format(attr.name, d[attr]) for attr in variables
]
features.append('value = {}'.format(d[wavenumber_ind]))
prepared.append("\n".join(features))
text = "\n\n".join(prepared)
if text:
text = ('<span style="white-space:pre">{}</span>'.format(
escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def update_attr(self):
self.update_view()
def init_attr_values(self, data):
domain = data.domain if data is not None else None
self.xy_model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
def set_data(self, data):
if data:
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
self.restore_selection_settings()
else:
self.data = None
self.data_ids = {}
def update_view(self):
self.img.clear()
self.img.setSelection(None)
self.legend.set_colors(None)
self.lsx = None
self.lsy = None
self.wavenumbers = None
self.data_xs = None
self.data_imagepixels = None
if self.data and len(self.data.domain.attributes):
if self.attr_x is not None:
xat = self.data.domain[self.attr_x]
ndom = Domain([xat])
datam = self.data.transform(ndom)
coorx = datam.X[:, 0]
else:
coorx = np.arange(len(self.data))
self.lsx = lsx = values_to_linspace(coorx)
self.data_xs = coorx
self.wavenumbers = wavenumbers = getx(self.data)
self.lsy = lsy = values_to_linspace(wavenumbers)
# set data
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
xindex = index_values(coorx, lsx)
yindex = index_values(wavenumbers, lsy)
for xind, d in zip(xindex, self.data.X):
imdata[yindex, xind] = d
self.data_imagepixels = xindex
self.img.setImage(imdata, autoLevels=False)
self.update_levels()
self.update_color_schema()
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1] - lsx[0]) + 2 * shiftx
height = (lsy[1] - lsy[0]) + 2 * shifty
self.img.setRect(QRectF(left, bottom, width, height))
self.refresh_img_selection()
def refresh_img_selection(self):
selected_px = np.zeros((self.lsy[2], self.lsx[2]), dtype=np.uint8)
selected_px[:, self.data_imagepixels] = self.selection_group
self.img.setSelection(selected_px)
def make_selection(self, selected):
"""Add selected indices to the selection."""
add_to_group, add_group, remove = selection_modifiers()
if self.data and self.lsx and self.lsy:
if add_to_group: # both keys - need to test it before add_group
selnum = np.max(self.selection_group)
elif add_group:
selnum = np.max(self.selection_group) + 1
elif remove:
selnum = 0
else:
self.selection_group *= 0
selnum = 1
if selected is not None:
self.selection_group[selected] = selnum
self.refresh_img_selection()
self.prepare_settings_for_saving()
self.selection_changed.emit()
def _points_at_pos(self, pos):
if self.data and self.lsx and self.lsy:
x, y = pos.x(), pos.y()
x_distance = np.abs(self.data_xs - x)
sel = (x_distance < _shift(self.lsx))
wavenumber_distance = np.abs(self.wavenumbers - y)
wavenumber_ind = np.argmin(wavenumber_distance)
return sel, wavenumber_ind
return None, None
def select_by_click(self, pos):
sel, _ = self._points_at_pos(pos)
self.make_selection(sel)
class ImagePlot(QWidget, OWComponent, SelectionGroupMixin,
ImageColorSettingMixin, ImageZoomMixin, ConcurrentMixin):
attr_x = ContextSetting(None)
attr_y = ContextSetting(None)
gamma = Setting(0)
selection_changed = Signal()
image_updated = Signal()
def __init__(self, parent):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
SelectionGroupMixin.__init__(self)
ImageColorSettingMixin.__init__(self)
ImageZoomMixin.__init__(self)
ConcurrentMixin.__init__(self)
self.parent = parent
self.selection_type = SELECTMANY
self.saving_enabled = True
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
self.data_valid_positions = None
self.plotview = pg.GraphicsLayoutWidget()
self.plot = pg.PlotItem(background="w",
viewBox=InteractiveViewBox(self))
self.plotview.addItem(self.plot)
self.legend = ImageColorLegend()
self.plotview.addItem(self.legend)
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.vis_img = pg.ImageItem()
self.vis_img.setOpts(axisOrder='row-major')
self.plot.vb.setAspectLocked()
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("Menu", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
# prepare interface according to the new context
self.parent.contextAboutToBeOpened.connect(
lambda x: self.init_interface_data(x[0]))
actions = []
self.add_zoom_actions(view_menu)
select_square = QAction(
"Select (square)",
self,
triggered=self.plot.vb.set_mode_select_square,
)
select_square.setShortcuts([Qt.Key_S])
select_square.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_square)
select_polygon = QAction(
"Select (polygon)",
self,
triggered=self.plot.vb.set_mode_select_polygon,
)
select_polygon.setShortcuts([Qt.Key_P])
select_polygon.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_polygon)
if self.saving_enabled:
save_graph = QAction(
"Save graph",
self,
triggered=self.save_graph,
)
save_graph.setShortcuts(
[QKeySequence(Qt.ControlModifier | Qt.Key_I)])
actions.append(save_graph)
view_menu.addActions(actions)
self.addActions(actions)
common_options = dict(labelWidth=50,
orientation=Qt.Horizontal,
sendSelectedValue=True)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.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)
box.setFocusProxy(self.cb_attr_x)
box.layout().addWidget(self.color_settings_box())
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def init_interface_data(self, data):
same_domain = (self.data and data and data.domain == self.data.domain)
if not same_domain:
self.init_attr_values(data)
def help_event(self, ev):
pos = self.plot.vb.mapSceneToView(ev.scenePos())
sel = self._points_at_pos(pos)
prepared = []
if sel is not None:
data, vals, points = self.data[sel], self.data_values[
sel], self.data_points[sel]
for d, v, p in zip(data, vals, points):
basic = "({}, {}): {}".format(p[0], p[1], v)
variables = [
v for v in self.data.domain.metas +
self.data.domain.class_vars
if v not in [self.attr_x, self.attr_y]
]
features = [
'{} = {}'.format(attr.name, d[attr]) for attr in variables
]
prepared.append("\n".join([basic] + features))
text = "\n\n".join(prepared)
if text:
text = ('<span style="white-space:pre">{}</span>'.format(
escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def update_attr(self):
self.update_view()
def init_attr_values(self, data):
domain = data.domain if data is not None else None
self.xy_model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
self.attr_y = self.xy_model[1] if len(self.xy_model) >= 2 \
else self.attr_x
def save_graph(self):
saveplot.save_plot(self.plotview, self.parent.graph_writers)
def set_data(self, data):
if data:
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
self.restore_selection_settings()
else:
self.data = None
self.data_ids = {}
def refresh_img_selection(self):
selected_px = np.zeros((self.lsy[2], self.lsx[2]), dtype=np.uint8)
selected_px[self.data_imagepixels[self.data_valid_positions, 0],
self.data_imagepixels[self.data_valid_positions, 1]] = \
self.selection_group[self.data_valid_positions]
self.img.setSelection(selected_px)
def make_selection(self, selected):
"""Add selected indices to the selection."""
add_to_group, add_group, remove = selection_modifiers()
if self.data and self.lsx and self.lsy:
if add_to_group: # both keys - need to test it before add_group
selnum = np.max(self.selection_group)
elif add_group:
selnum = np.max(self.selection_group) + 1
elif remove:
selnum = 0
else:
self.selection_group *= 0
selnum = 1
if selected is not None:
self.selection_group[selected] = selnum
self.refresh_img_selection()
self.prepare_settings_for_saving()
self.selection_changed.emit()
def select_square(self, p1, p2):
""" Select elements within a square drawn by the user.
A selection needs to contain whole pixels """
x1, y1 = p1.x(), p1.y()
x2, y2 = p2.x(), p2.y()
polygon = [
QPointF(x1, y1),
QPointF(x2, y1),
QPointF(x2, y2),
QPointF(x1, y2),
QPointF(x1, y1)
]
self.select_polygon(polygon)
def select_polygon(self, polygon):
""" Select by a polygon which has to contain whole pixels. """
if self.data and self.lsx and self.lsy:
polygon = [(p.x(), p.y()) for p in polygon]
# a polygon should contain all pixel
shiftx = _shift(self.lsx)
shifty = _shift(self.lsy)
points_edges = [
self.data_points + [[shiftx, shifty]],
self.data_points + [[-shiftx, shifty]],
self.data_points + [[shiftx, -shifty]],
self.data_points + [[-shiftx, -shifty]]
]
inp = in_polygon(points_edges[0], polygon)
for p in points_edges[1:]:
inp *= in_polygon(p, polygon)
self.make_selection(inp)
def _points_at_pos(self, pos):
if self.data and self.lsx and self.lsy:
x, y = pos.x(), pos.y()
distance = np.abs(self.data_points - [[x, y]])
sel = (distance[:, 0] < _shift(self.lsx)) * (distance[:, 1] <
_shift(self.lsy))
return sel
def select_by_click(self, pos):
sel = self._points_at_pos(pos)
self.make_selection(sel)
def update_view(self):
self.cancel()
self.parent.Error.image_too_big.clear()
self.parent.Information.not_shown.clear()
self.img.clear()
self.img.setSelection(None)
self.legend.set_colors(None)
self.lsx = None
self.lsy = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
self.data_valid_positions = None
if self.data and self.attr_x and self.attr_y:
self.start(self.compute_image, self.data, self.attr_x, self.attr_y,
self.parent.image_values(),
self.parent.image_values_fixed_levels())
else:
self.image_updated.emit()
def set_visible_image(self, img: np.ndarray, rect: QRectF):
self.vis_img.setImage(img)
self.vis_img.setRect(rect)
def show_visible_image(self):
if self.vis_img not in self.plot.items:
self.plot.addItem(self.vis_img)
def hide_visible_image(self):
self.plot.removeItem(self.vis_img)
def set_visible_image_opacity(self, opacity: int):
"""Opacity is an alpha channel intensity integer from 0 to 255"""
self.vis_img.setOpacity(opacity / 255)
def set_visible_image_comp_mode(self, comp_mode: QPainter.CompositionMode):
self.vis_img.setCompositionMode(comp_mode)
@staticmethod
def compute_image(data: Orange.data.Table, attr_x, attr_y, image_values,
image_values_fixed_levels, state: TaskState):
def progress_interrupt(i: float):
if state.is_interruption_requested():
raise InterruptException
class Result():
pass
res = Result()
xat = data.domain[attr_x]
yat = data.domain[attr_y]
def extract_col(data, var):
nd = Domain([var])
d = data.transform(nd)
return d.X[:, 0]
progress_interrupt(0)
res.coorx = extract_col(data, xat)
res.coory = extract_col(data, yat)
res.data_points = np.hstack(
[res.coorx.reshape(-1, 1),
res.coory.reshape(-1, 1)])
res.lsx = lsx = values_to_linspace(res.coorx)
res.lsy = lsy = values_to_linspace(res.coory)
res.image_values_fixed_levels = image_values_fixed_levels
progress_interrupt(0)
if lsx[-1] * lsy[-1] > IMAGE_TOO_BIG:
raise ImageTooBigException((lsx[-1], lsy[-1]))
# the code below does this, but part-wise:
# d = image_values(data).X[:, 0]
parts = []
for slice in split_to_size(len(data), 10000):
part = image_values(data[slice]).X[:, 0]
parts.append(part)
progress_interrupt(0)
d = np.concatenate(parts)
res.d = d
progress_interrupt(0)
return res
def on_done(self, res):
self.lsx, self.lsy = res.lsx, res.lsy
lsx, lsy = self.lsx, self.lsy
d = res.d
self.fixed_levels = res.image_values_fixed_levels
self.data_points = res.data_points
xindex, xnan = index_values_nan(res.coorx, self.lsx)
yindex, ynan = index_values_nan(res.coory, self.lsy)
self.data_valid_positions = valid = np.logical_not(
np.logical_or(xnan, ynan))
invalid_positions = len(d) - np.sum(valid)
if invalid_positions:
self.parent.Information.not_shown(invalid_positions)
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
imdata[yindex[valid], xindex[valid]] = d[valid]
self.data_values = d
self.data_imagepixels = np.vstack((yindex, xindex)).T
self.img.setImage(imdata, autoLevels=False)
self.update_levels()
self.update_color_schema()
self.update_legend_visible()
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1] - lsx[0]) + 2 * shiftx
height = (lsy[1] - lsy[0]) + 2 * shifty
self.img.setRect(QRectF(left, bottom, width, height))
self.refresh_img_selection()
self.image_updated.emit()
def on_partial_result(self, result):
pass
def on_exception(self, ex: Exception):
if isinstance(ex, InterruptException):
return
if isinstance(ex, ImageTooBigException):
self.parent.Error.image_too_big(ex.args[0][0], ex.args[0][1])
self.image_updated.emit()
else:
raise ex
class ImagePlot(QWidget, OWComponent):
attr_x = ContextSetting(None)
attr_y = ContextSetting(None)
gamma = Setting(0)
threshold_low = Setting(0.0)
threshold_high = Setting(1.0)
def __init__(self, parent):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
self.parent = parent
self.selection_enabled = False
self.plotview = pg.PlotWidget(background="w",
viewBox=InteractiveViewBox(self))
self.plot = self.plotview.getPlotItem()
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.vb.setAspectLocked()
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("View", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
common_options = dict(labelWidth=50,
orientation=Qt.Horizontal,
sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.PRIMITIVE)
self.models = [self.xy_model]
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)
box.setFocusProxy(self.cb_attr_x)
form = QFormLayout(formAlignment=Qt.AlignLeft,
labelAlignment=Qt.AlignLeft,
fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow)
lowslider = gui.hSlider(box,
self,
"threshold_low",
minValue=0.0,
maxValue=1.0,
step=0.05,
ticks=True,
intOnly=False,
createLabel=False,
callback=self.update_color_schema)
highslider = gui.hSlider(box,
self,
"threshold_high",
minValue=0.0,
maxValue=1.0,
step=0.05,
ticks=True,
intOnly=False,
createLabel=False,
callback=self.update_color_schema)
gammaslider = gui.hSlider(box,
self,
"gamma",
minValue=0.0,
maxValue=20.0,
step=1.0,
ticks=True,
intOnly=False,
createLabel=False,
callback=self.update_color_schema)
form.addRow("Low:", lowslider)
form.addRow("High:", highslider)
form.addRow("Gamma:", gammaslider)
box.layout().addLayout(form)
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.markings_integral = []
self.data = None
def update_color_schema(self):
if not self.threshold_low < self.threshold_high:
# TODO this belongs here, not in the parent
self.parent.Warning.threshold_error()
return
else:
self.parent.Warning.threshold_error.clear()
# TODO add color chooser
colors = [(0, 0, 255), (255, 255, 0)]
cols = color_palette_table(colors,
threshold_low=self.threshold_low,
threshold_high=self.threshold_high,
gamma=self.gamma)
self.img.setLookupTable(cols)
def update_attr(self):
self.show_data()
def init_attr_values(self):
domain = self.data and self.data.domain
for model in self.models:
model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
self.attr_y = self.xy_model[1] if len(self.xy_model) >= 2 \
else self.attr_x
def set_data(self, data):
self.img.clear()
if data is not None:
same_domain = (self.data and data.domain.checksum()
== self.data.domain.checksum())
self.data = data
if not same_domain:
self.init_attr_values()
self.show_data()
def set_integral_limits(self):
self.show_data()
def refresh_markings(self, di):
for m in self.markings_integral:
self.parent.curveplot.remove_marking(m)
self.markings_integral = []
color = Qt.red
def add_marking(a):
self.markings_integral.append(a)
self.parent.curveplot.add_marking(a)
if "baseline" in di:
bs_x, bs_ys = di["baseline"]
baseline = pg.PlotCurveItem()
baseline.setPen(
pg.mkPen(color=QColor(color), width=2, style=Qt.DotLine))
baseline.setZValue(10)
baseline.setData(x=bs_x, y=bs_ys[0])
add_marking(baseline)
if "curve" in di:
bs_x, bs_ys = di["curve"]
curve = pg.PlotCurveItem()
curve.setPen(pg.mkPen(color=QColor(color), width=2))
curve.setZValue(10)
curve.setData(x=bs_x, y=bs_ys[0])
add_marking(curve)
if "fill" in di:
(x1, ys1), (x2, ys2) = di["fill"]
phigh = pg.PlotCurveItem(x1, ys1[0], pen=None)
plow = pg.PlotCurveItem(x2, ys2[0], pen=None)
color = QColor(color)
color.setAlphaF(0.5)
cc = pg.mkBrush(color)
pfill = pg.FillBetweenItem(plow, phigh, brush=cc)
pfill.setZValue(9)
add_marking(pfill)
if "line" in di:
(x1, y1), (x2, y2) = di["line"]
line = pg.PlotCurveItem()
line.setPen(pg.mkPen(color=QColor(color), width=4))
line.setZValue(10)
line.setData(x=[x1[0], x2[0]], y=[y1[0], y2[0]])
add_marking(line)
def show_data(self):
self.img.clear()
if self.data:
xat = self.data.domain[self.attr_x]
yat = self.data.domain[self.attr_y]
ndom = Orange.data.Domain([xat, yat])
datam = Orange.data.Table(ndom, self.data)
coorx = datam.X[:, 0]
coory = datam.X[:, 1]
lsx = values_to_linspace(coorx)
lsy = values_to_linspace(coory)
l1, l2 = self.parent.lowlim, self.parent.highlim
gx = getx(self.data)
if l1 is None:
l1 = min(gx) - 1
if l2 is None:
l2 = max(gx) + 1
l1, l2 = min(l1, l2), max(l1, l2)
imethod = self.parent.integration_methods[
self.parent.integration_method]
datai = Integrate(method=imethod, limits=[[l1, l2]])(self.data)
di = {}
if self.parent.curveplot.selected_indices:
ind = list(self.parent.curveplot.selected_indices)[0]
di = datai.domain.attributes[0].compute_value.draw_info(
self.data[ind:ind + 1])
self.refresh_markings(di)
d = datai.X[:, 0]
# set data
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
xindex = index_values(coorx, lsx)
yindex = index_values(coory, lsy)
imdata[yindex, xindex] = d
levels = get_levels(imdata)
self.update_color_schema()
self.img.setImage(imdata, levels=levels)
# shift centres of the pixels so that the axes are useful
shiftx = (lsx[1] - lsx[0]) / (2 * (lsx[2] - 1))
shifty = (lsy[1] - lsy[0]) / (2 * (lsy[2] - 1))
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1] - lsx[0]) + 2 * shiftx
height = (lsy[1] - lsy[0]) + 2 * shifty
self.img.setRect(QRectF(left, bottom, width, height))
class ImagePlot(QWidget, OWComponent, SelectionGroupMixin,
ImageColorSettingMixin, ImageZoomMixin):
attr_x = ContextSetting(None)
attr_y = ContextSetting(None)
gamma = Setting(0)
selection_changed = Signal()
def __init__(self, parent):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
SelectionGroupMixin.__init__(self)
ImageColorSettingMixin.__init__(self)
ImageZoomMixin.__init__(self)
self.parent = parent
self.selection_type = SELECTMANY
self.saving_enabled = True
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
self.data_valid_positions = None
self.plotview = pg.GraphicsLayoutWidget()
self.plot = pg.PlotItem(background="w",
viewBox=InteractiveViewBox(self))
self.plotview.addItem(self.plot)
self.legend = ImageColorLegend()
self.plotview.addItem(self.legend)
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.vb.setAspectLocked()
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("Menu", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
# prepare interface according to the new context
self.parent.contextAboutToBeOpened.connect(
lambda x: self.init_interface_data(x[0]))
actions = []
self.add_zoom_actions(view_menu)
select_square = QAction(
"Select (square)",
self,
triggered=self.plot.vb.set_mode_select_square,
)
select_square.setShortcuts([Qt.Key_S])
select_square.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_square)
select_polygon = QAction(
"Select (polygon)",
self,
triggered=self.plot.vb.set_mode_select_polygon,
)
select_polygon.setShortcuts([Qt.Key_P])
select_polygon.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_polygon)
if self.saving_enabled:
save_graph = QAction(
"Save graph",
self,
triggered=self.save_graph,
)
save_graph.setShortcuts(
[QKeySequence(Qt.ControlModifier | Qt.Key_I)])
actions.append(save_graph)
view_menu.addActions(actions)
self.addActions(actions)
common_options = dict(labelWidth=50,
orientation=Qt.Horizontal,
sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.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)
box.setFocusProxy(self.cb_attr_x)
box.layout().addWidget(self.color_settings_box())
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.markings_integral = []
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def init_interface_data(self, data):
same_domain = (self.data and data and data.domain == self.data.domain)
if not same_domain:
self.init_attr_values(data)
def help_event(self, ev):
pos = self.plot.vb.mapSceneToView(ev.scenePos())
sel = self._points_at_pos(pos)
prepared = []
if sel is not None:
data, vals, points = self.data[sel], self.data_values[
sel], self.data_points[sel]
for d, v, p in zip(data, vals, points):
basic = "({}, {}): {}".format(p[0], p[1], v)
variables = [
v for v in self.data.domain.metas +
self.data.domain.class_vars
if v not in [self.attr_x, self.attr_y]
]
features = [
'{} = {}'.format(attr.name, d[attr]) for attr in variables
]
prepared.append("\n".join([basic] + features))
text = "\n\n".join(prepared)
if text:
text = ('<span style="white-space:pre">{}</span>'.format(
escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def update_attr(self):
self.update_view()
def init_attr_values(self, data):
domain = data.domain if data is not None else None
self.xy_model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
self.attr_y = self.xy_model[1] if len(self.xy_model) >= 2 \
else self.attr_x
def save_graph(self):
saveplot.save_plot(self.plotview, self.parent.graph_writers)
def set_data(self, data):
if data:
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
self.restore_selection_settings()
else:
self.data = None
self.data_ids = {}
def refresh_markings(self, di):
refresh_integral_markings([{
"draw": di
}], self.markings_integral, self.parent.curveplot)
def update_view(self):
self.parent.Error.image_too_big.clear()
self.parent.Information.not_shown.clear()
self.img.clear()
self.img.setSelection(None)
self.legend.set_colors(None)
self.lsx = None
self.lsy = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
self.data_valid_positions = None
if self.data and self.attr_x and self.attr_y:
xat = self.data.domain[self.attr_x]
yat = self.data.domain[self.attr_y]
ndom = Orange.data.Domain([xat, yat])
datam = Orange.data.Table(ndom, self.data)
coorx = datam.X[:, 0]
coory = datam.X[:, 1]
self.data_points = datam.X
self.lsx = lsx = values_to_linspace(coorx)
self.lsy = lsy = values_to_linspace(coory)
if lsx[-1] * lsy[-1] > IMAGE_TOO_BIG:
self.parent.Error.image_too_big(lsx[-1], lsy[-1])
return
di = {}
if self.parent.value_type == 0: # integrals
imethod = self.parent.integration_methods[
self.parent.integration_method]
if imethod != Integrate.PeakAt:
datai = Integrate(
methods=imethod,
limits=[[self.parent.lowlim,
self.parent.highlim]])(self.data)
else:
datai = Integrate(
methods=imethod,
limits=[[self.parent.choose,
self.parent.choose]])(self.data)
if np.any(self.parent.curveplot.selection_group):
# curveplot can have a subset of curves on the input> match IDs
ind = np.flatnonzero(
self.parent.curveplot.selection_group)[0]
dind = self.data_ids[self.parent.curveplot.data[ind].id]
di = datai.domain.attributes[0].compute_value.draw_info(
self.data[dind:dind + 1])
d = datai.X[:, 0]
else:
dat = self.data.domain[self.parent.attr_value]
ndom = Orange.data.Domain([dat])
d = Orange.data.Table(ndom, self.data).X[:, 0]
self.refresh_markings(di)
xindex, xnan = index_values_nan(coorx, lsx)
yindex, ynan = index_values_nan(coory, lsy)
self.data_valid_positions = valid = np.logical_not(
np.logical_or(xnan, ynan))
invalid_positions = len(d) - np.sum(valid)
if invalid_positions:
self.parent.Information.not_shown(invalid_positions)
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
imdata[yindex[valid], xindex[valid]] = d[valid]
self.data_values = d
self.data_imagepixels = np.vstack((yindex, xindex)).T
self.img.setImage(imdata, autoLevels=False)
self.update_levels()
self.update_color_schema()
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1] - lsx[0]) + 2 * shiftx
height = (lsy[1] - lsy[0]) + 2 * shifty
self.img.setRect(QRectF(left, bottom, width, height))
self.refresh_img_selection()
def refresh_img_selection(self):
selected_px = np.zeros((self.lsy[2], self.lsx[2]), dtype=np.uint8)
selected_px[self.data_imagepixels[self.data_valid_positions, 0],
self.data_imagepixels[self.data_valid_positions, 1]] = \
self.selection_group[self.data_valid_positions]
self.img.setSelection(selected_px)
def make_selection(self, selected):
"""Add selected indices to the selection."""
add_to_group, add_group, remove = selection_modifiers()
if self.data and self.lsx and self.lsy:
if add_to_group: # both keys - need to test it before add_group
selnum = np.max(self.selection_group)
elif add_group:
selnum = np.max(self.selection_group) + 1
elif remove:
selnum = 0
else:
self.selection_group *= 0
selnum = 1
if selected is not None:
self.selection_group[selected] = selnum
self.refresh_img_selection()
self.prepare_settings_for_saving()
self.selection_changed.emit()
def select_square(self, p1, p2):
""" Select elements within a square drawn by the user.
A selection needs to contain whole pixels """
x1, y1 = p1.x(), p1.y()
x2, y2 = p2.x(), p2.y()
polygon = [
QPointF(x1, y1),
QPointF(x2, y1),
QPointF(x2, y2),
QPointF(x1, y2),
QPointF(x1, y1)
]
self.select_polygon(polygon)
def select_polygon(self, polygon):
""" Select by a polygon which has to contain whole pixels. """
if self.data and self.lsx and self.lsy:
polygon = [(p.x(), p.y()) for p in polygon]
# a polygon should contain all pixel
shiftx = _shift(self.lsx)
shifty = _shift(self.lsy)
points_edges = [
self.data_points + [[shiftx, shifty]],
self.data_points + [[-shiftx, shifty]],
self.data_points + [[shiftx, -shifty]],
self.data_points + [[-shiftx, -shifty]]
]
inp = in_polygon(points_edges[0], polygon)
for p in points_edges[1:]:
inp *= in_polygon(p, polygon)
self.make_selection(inp)
def _points_at_pos(self, pos):
if self.data and self.lsx and self.lsy:
x, y = pos.x(), pos.y()
distance = np.abs(self.data_points - [[x, y]])
sel = (distance[:, 0] < _shift(self.lsx)) * (distance[:, 1] <
_shift(self.lsy))
return sel
def select_by_click(self, pos):
sel = self._points_at_pos(pos)
self.make_selection(sel)
class CurvePlot(QWidget, OWComponent):
sample_seed = Setting(0, schema_only=True)
label_title = Setting("")
label_xaxis = Setting("")
label_yaxis = Setting("")
range_x1 = Setting(None)
range_x2 = Setting(None)
range_y1 = Setting(None)
range_y2 = Setting(None)
feature_color = ContextSetting(None)
invertX = Setting(False)
selected_indices = Setting(set())
data_size = Setting(None) # to invalidate selected_indices
viewtype = Setting(INDIVIDUAL)
def __init__(self, parent=None, select=SELECTNONE):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
self.parent = parent
self.selection_type = select
self.saving_enabled = hasattr(self.parent, "save_graph")
self.clear_data(init=True)
self.subset = None # current subset input
self.subset_indices = None # boolean index array with indices in self.data
self.plotview = pg.PlotWidget(background="w",
viewBox=InteractiveViewBoxC(self))
self.plot = self.plotview.getPlotItem()
self.plot.setDownsampling(auto=True, mode="peak")
self.markings = []
self.vLine = pg.InfiniteLine(angle=90, movable=False)
self.hLine = pg.InfiniteLine(angle=0, movable=False)
self.proxy = pg.SignalProxy(self.plot.scene().sigMouseMoved,
rateLimit=20,
slot=self.mouseMoved,
delay=0.1)
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
self.plot.vb.sigRangeChanged.connect(self.resized)
self.pen_mouse = pg.mkPen(color=(0, 0, 255), width=2)
self.pen_normal = defaultdict(
lambda: pg.mkPen(color=(200, 200, 200, 127), width=1))
self.pen_subset = defaultdict(
lambda: pg.mkPen(color=(0, 0, 0, 127), width=1))
self.pen_selected = defaultdict(
lambda: pg.mkPen(color=(0, 0, 0, 127), width=2, style=Qt.DotLine))
self.label = pg.TextItem("", anchor=(1, 0))
self.label.setText("", color=(0, 0, 0))
self.discrete_palette = None
QPixmapCache.setCacheLimit(max(QPixmapCache.cacheLimit(), 100 * 1024))
self.curves_cont = PlotCurvesItem()
self.important_decimals = 4, 4
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
# whether to rescale at next update
self.rescale_next = True
self.MOUSE_RADIUS = 20
self.clear_graph()
# interface settings
self.location = True # show current position
self.markclosest = True # mark
self.crosshair = True
self.crosshair_hidden = True
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
actions = []
resample_curves = QAction(
"Resample curves",
self,
shortcut=Qt.Key_R,
triggered=lambda x: self.resample_curves(self.sample_seed + 1))
actions.append(resample_curves)
reset_curves = QAction("Resampling reset",
self,
shortcut=QKeySequence(Qt.ControlModifier
| Qt.Key_R),
triggered=lambda x: self.resample_curves(0))
actions.append(reset_curves)
zoom_in = QAction("Zoom in",
self,
triggered=self.plot.vb.set_mode_zooming)
zoom_in.setShortcuts([Qt.Key_Z, QKeySequence(QKeySequence.ZoomIn)])
zoom_in.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(zoom_in)
zoom_fit = QAction(
"Zoom to fit",
self,
triggered=lambda x:
(self.plot.vb.autoRange(), self.plot.vb.set_mode_panning()))
zoom_fit.setShortcuts(
[Qt.Key_Backspace,
QKeySequence(Qt.ControlModifier | Qt.Key_0)])
zoom_fit.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(zoom_fit)
rescale_y = QAction("Rescale Y to fit",
self,
shortcut=Qt.Key_D,
triggered=self.rescale_current_view_y)
actions.append(rescale_y)
self.view_average_menu = QAction(
"Show averages",
self,
shortcut=Qt.Key_A,
checkable=True,
triggered=lambda x: self.viewtype_changed())
actions.append(self.view_average_menu)
self.show_grid = False
self.show_grid_a = QAction("Show grid",
self,
shortcut=Qt.Key_G,
checkable=True,
triggered=self.grid_changed)
actions.append(self.show_grid_a)
self.invertX_menu = QAction("Invert X",
self,
shortcut=Qt.Key_X,
checkable=True,
triggered=self.invertX_changed)
actions.append(self.invertX_menu)
if self.selection_type == SELECTMANY:
select_curves = QAction(
"Select (line)",
self,
triggered=self.line_select_start,
)
select_curves.setShortcuts([Qt.Key_S])
select_curves.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_curves)
if self.saving_enabled:
save_graph = QAction(
"Save graph",
self,
triggered=self.save_graph,
)
save_graph.setShortcuts(
[QKeySequence(Qt.ControlModifier | Qt.Key_S)])
actions.append(save_graph)
range_menu = MenuFocus("Define view range", self)
range_action = QWidgetAction(self)
layout = QGridLayout()
range_box = gui.widgetBox(self, margin=5, orientation=layout)
range_box.setFocusPolicy(Qt.TabFocus)
self.range_e_x1 = lineEditFloatOrNone(None,
self,
"range_x1",
label="e")
range_box.setFocusProxy(self.range_e_x1)
self.range_e_x2 = lineEditFloatOrNone(None,
self,
"range_x2",
label="e")
layout.addWidget(QLabel("X"), 0, 0, Qt.AlignRight)
layout.addWidget(self.range_e_x1, 0, 1)
layout.addWidget(QLabel("-"), 0, 2)
layout.addWidget(self.range_e_x2, 0, 3)
self.range_e_y1 = lineEditFloatOrNone(None,
self,
"range_y1",
label="e")
self.range_e_y2 = lineEditFloatOrNone(None,
self,
"range_y2",
label="e")
layout.addWidget(QLabel("Y"), 1, 0, Qt.AlignRight)
layout.addWidget(self.range_e_y1, 1, 1)
layout.addWidget(QLabel("-"), 1, 2)
layout.addWidget(self.range_e_y2, 1, 3)
b = gui.button(None, self, "Apply", callback=self.set_limits)
layout.addWidget(b, 2, 3, Qt.AlignRight)
range_action.setDefaultWidget(range_box)
range_menu.addAction(range_action)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("View", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
view_menu.addActions(actions)
view_menu.addMenu(range_menu)
self.addActions(actions)
choose_color_action = QWidgetAction(self)
choose_color_box = gui.hBox(self)
choose_color_box.setFocusPolicy(Qt.TabFocus)
label = gui.label(choose_color_box, self, "Color by")
label.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
self.feature_color_model = DomainModel(
DomainModel.METAS | DomainModel.CLASSES,
valid_types=(DiscreteVariable, ),
placeholder="None")
self.feature_color_combo = gui.comboBox(choose_color_box,
self,
"feature_color",
callback=self.update_view,
model=self.feature_color_model,
valueType=str)
choose_color_box.setFocusProxy(self.feature_color_combo)
choose_color_action.setDefaultWidget(choose_color_box)
view_menu.addAction(choose_color_action)
cycle_colors = QShortcut(Qt.Key_C,
self,
self.cycle_color_attr,
context=Qt.WidgetWithChildrenShortcut)
labels_action = QWidgetAction(self)
layout = QGridLayout()
labels_box = gui.widgetBox(self, margin=0, orientation=layout)
t = gui.lineEdit(None,
self,
"label_title",
label="Title:",
callback=self.labels_changed,
callbackOnType=self.labels_changed)
layout.addWidget(QLabel("Title:"), 0, 0, Qt.AlignRight)
layout.addWidget(t, 0, 1)
t = gui.lineEdit(None,
self,
"label_xaxis",
label="X-axis:",
callback=self.labels_changed,
callbackOnType=self.labels_changed)
layout.addWidget(QLabel("X-axis:"), 1, 0, Qt.AlignRight)
layout.addWidget(t, 1, 1)
t = gui.lineEdit(None,
self,
"label_yaxis",
label="Y-axis:",
callback=self.labels_changed,
callbackOnType=self.labels_changed)
layout.addWidget(QLabel("Y-axis:"), 2, 0, Qt.AlignRight)
layout.addWidget(t, 2, 1)
labels_action.setDefaultWidget(labels_box)
view_menu.addAction(labels_action)
self.labels_changed() # apply saved labels
self.invertX_apply()
self.plot.vb.set_mode_panning()
self.reports = {} # current reports
self.viewhelpers_show()
def line_select_start(self):
if self.viewtype == INDIVIDUAL:
self.plot.vb.set_mode_select()
def help_event(self, ev):
text = ""
if self.highlighted is not None:
if self.viewtype == INDIVIDUAL:
index = self.sampled_indices[self.highlighted]
variables = self.data.domain.metas + self.data.domain.class_vars
text += "".join(
'{} = {}\n'.format(attr.name, self.data[index][attr])
for attr in variables)
elif self.viewtype == AVERAGE:
c = self.multiple_curves_info[self.highlighted]
nc = sum(c[2])
if c[0] is not None:
text += str(c[0]) + " "
if c[1]:
text += "({})".format(c[1])
if text:
text += "\n"
text += "{} curves".format(nc)
if text:
text = text.rstrip()
text = ('<span style="white-space:pre">{}</span>'.format(
escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def report(self, reporter, contents):
self.reports[id(reporter)] = contents
def report_finished(self, reporter):
try:
self.reports.pop(id(reporter))
except KeyError:
pass # ok if it was already removed
if not self.reports:
pass
def cycle_color_attr(self):
elements = [(a.name if isinstance(a, Variable) else a)
for a in self.feature_color_model]
currentind = 0
try:
currentind = elements.index(self.feature_color)
except ValueError:
pass
next = (currentind + 1) % len(self.feature_color_model)
self.feature_color = elements[next]
self.update_view()
def set_limits(self):
vr = self.plot.vb.viewRect()
x1 = self.range_x1 if self.range_x1 is not None else vr.left()
x2 = self.range_x2 if self.range_x2 is not None else vr.right()
y1 = self.range_y1 if self.range_y1 is not None else vr.top()
y2 = self.range_y2 if self.range_y2 is not None else vr.bottom()
self.plot.vb.setXRange(x1, x2)
self.plot.vb.setYRange(y1, y2)
def labels_changed(self):
self.plot.setTitle(self.label_title)
if not self.label_title:
self.plot.setTitle(None)
self.plot.setLabels(bottom=self.label_xaxis)
self.plot.showLabel("bottom", bool(self.label_xaxis))
self.plot.getAxis("bottom").resizeEvent() # align text
self.plot.setLabels(left=self.label_yaxis)
self.plot.showLabel("left", bool(self.label_yaxis))
self.plot.getAxis("left").resizeEvent() # align text
def grid_changed(self):
self.show_grid = not self.show_grid
self.grid_apply()
def grid_apply(self):
self.plot.showGrid(self.show_grid, self.show_grid, alpha=0.3)
self.show_grid_a.setChecked(self.show_grid)
def invertX_changed(self):
self.invertX = not self.invertX
self.invertX_apply()
def invertX_apply(self):
self.plot.vb.invertX(self.invertX)
self.resized()
# force redraw of axes (to avoid a pyqtgraph bug)
vr = self.plot.vb.viewRect()
self.plot.vb.setRange(xRange=(0, 1), yRange=(0, 1))
self.plot.vb.setRange(rect=vr)
self.invertX_menu.setChecked(self.invertX)
def save_graph(self):
self.viewhelpers_hide()
self.plot.showAxis("top", True)
self.plot.showAxis("right", True)
self.parent.save_graph()
self.plot.showAxis("top", False)
self.plot.showAxis("right", False)
self.viewhelpers_show()
def clear_data(self, init=True):
self.data = None
self.data_x = None # already sorted x-axis
self.data_xsind = None # sorting indices for x-axis
self.sampled_indices = []
self.sampled_indices_inverse = {}
self.sampling = None
if not init:
self.selection_changed()
self.discrete_palette = None
def clear_graph(self):
# reset caching. if not, it is not cleared when view changing when zoomed
self.highlighted = None
self.curves_cont.setCacheMode(QGraphicsItem.NoCache)
self.curves_cont.setCacheMode(QGraphicsItem.DeviceCoordinateCache)
self.plot.vb.disableAutoRange()
self.curves_cont.clear()
self.curves_cont.update()
self.plotview.clear()
self.multiple_curves_info = []
self.curves_plotted = [] # currently plotted elements (for rescale)
self.curves = [] # for finding closest curve
self.plotview.addItem(self.label, ignoreBounds=True)
self.highlighted_curve = pg.PlotCurveItem(pen=self.pen_mouse)
self.highlighted_curve.setZValue(10)
self.highlighted_curve.hide()
self.plot.addItem(self.highlighted_curve)
self.plot.addItem(self.vLine, ignoreBounds=True)
self.plot.addItem(self.hLine, ignoreBounds=True)
self.viewhelpers = True
self.plot.addItem(self.curves_cont)
for m in self.markings:
self.plot.addItem(m, ignoreBounds=True)
def resized(self):
vr = self.plot.vb.viewRect()
xpixel, ypixel = self.plot.vb.viewPixelSize()
def important_decimals(n):
return max(-int(math.floor(math.log10(n))) + 1, 0)
self.important_decimals = important_decimals(
xpixel), important_decimals(ypixel)
if self.invertX:
self.label.setPos(vr.bottomLeft())
else:
self.label.setPos(vr.bottomRight())
xd, yd = self.important_decimals
self.range_e_x1.setPlaceholderText(("%0." + str(xd) + "f") % vr.left())
self.range_e_x2.setPlaceholderText(
("%0." + str(xd) + "f") % vr.right())
self.range_e_y1.setPlaceholderText(("%0." + str(yd) + "f") % vr.top())
self.range_e_y2.setPlaceholderText(
("%0." + str(yd) + "f") % vr.bottom())
def make_selection(self, data_indices, add=False):
selected_indices = self.selected_indices
oldids = selected_indices.copy()
invd = self.sampled_indices_inverse
if data_indices is None:
if not add:
selected_indices.clear()
self.set_curve_pens([invd[a] for a in oldids if a in invd])
else:
if add:
selected_indices.update(data_indices)
self.set_curve_pens(
[invd[a] for a in data_indices if a in invd])
else:
selected_indices.clear()
selected_indices.update(data_indices)
self.set_curve_pens([
invd[a] for a in (oldids | selected_indices) if a in invd
])
self.selection_changed()
def selection_changed(self):
if self.selection_type:
self.parent.selection_changed()
def viewhelpers_hide(self):
self.label.hide()
self.vLine.hide()
self.hLine.hide()
def viewhelpers_show(self):
self.label.show()
if self.crosshair and not self.crosshair_hidden:
self.vLine.show()
self.hLine.show()
else:
self.vLine.hide()
self.hLine.hide()
def mouseMoved(self, evt):
pos = evt[0]
if self.plot.sceneBoundingRect().contains(pos):
mousePoint = self.plot.vb.mapSceneToView(pos)
posx, posy = mousePoint.x(), mousePoint.y()
labels = []
for a, vs in sorted(self.reports.items()):
for v in vs:
if isinstance(v, tuple) and len(v) == 2:
if v[0] == "x":
labels.append(
("%0." + str(self.important_decimals[0]) + "f")
% v[1])
continue
labels.append(str(v))
labels = " ".join(labels)
self.crosshair_hidden = bool(labels)
if self.location and not labels:
fs = "%0." + str(self.important_decimals[0]) + "f %0." + str(
self.important_decimals[1]) + "f"
labels = fs % (posx, posy)
self.label.setText(labels, color=(0, 0, 0))
if self.curves and len(self.curves[0][0]): # need non-zero x axis!
cache = {}
bd = None
if self.markclosest and self.plot.vb.action != ZOOMING:
xpixel, ypixel = self.plot.vb.viewPixelSize()
distances = distancetocurves(self.curves[0],
posx,
posy,
xpixel,
ypixel,
r=self.MOUSE_RADIUS,
cache=cache)
try:
mindi = np.nanargmin(distances)
if distances[mindi] < self.MOUSE_RADIUS:
bd = mindi
except ValueError: # if all distances are NaN
pass
if self.highlighted != bd:
QToolTip.hideText()
if self.highlighted is not None and bd is None:
self.highlighted = None
self.highlighted_curve.hide()
if bd is not None:
self.highlighted = bd
x = self.curves[0][0]
y = self.curves[0][1][self.highlighted]
self.highlighted_curve.setData(x=x, y=y)
self.highlighted_curve.show()
self.vLine.setPos(posx)
self.hLine.setPos(posy)
self.viewhelpers_show()
else:
self.viewhelpers_hide()
def set_curve_pen(self, idc):
idcdata = self.sampled_indices[idc]
insubset = self.subset_indices[idcdata]
inselected = self.selection_type and idcdata in self.selected_indices
have_subset = np.any(self.subset_indices)
thispen = self.pen_subset if insubset or not have_subset else self.pen_normal
if inselected:
thispen = self.pen_selected
color_var = self._current_color_var()
value = None if color_var is None else str(
self.data[idcdata][color_var])
self.curves_cont.objs[idc].setPen(thispen[value])
self.curves_cont.objs[idc].setZValue(int(insubset) + int(inselected))
def set_curve_pens(self, curves=None):
if self.viewtype == INDIVIDUAL and self.curves:
curves = range(len(
self.curves[0][1])) if curves is None else curves
for i in curves:
self.set_curve_pen(i)
self.curves_cont.update()
def add_marking(self, item):
self.markings.append(item)
self.plot.addItem(item, ignoreBounds=True)
def remove_marking(self, item):
self.plot.removeItem(item)
self.markings.remove(item)
def clear_markings(self):
for m in self.markings:
self.plot.removeItem(m)
self.markings = []
def add_curves(self, x, ys, addc=True):
""" Add multiple curves with the same x domain. """
if len(ys) > MAX_INSTANCES_DRAWN:
sample_selection = random.Random(self.sample_seed).sample(
range(len(ys)), MAX_INSTANCES_DRAWN)
# with random selection also show at most MAX_INSTANCES_DRAW elements from the subset
subset = set(np.where(self.subset_indices)[0])
subset_to_show = subset - set(sample_selection)
subset_additional = MAX_INSTANCES_DRAWN - (len(subset) -
len(subset_to_show))
if len(subset_to_show) > subset_additional:
subset_to_show = random.Random(self.sample_seed).sample(
subset_to_show, subset_additional)
self.sampled_indices = sorted(sample_selection +
list(subset_to_show))
self.sampling = True
else:
self.sampled_indices = list(range(len(ys)))
random.Random(self.sample_seed).shuffle(
self.sampled_indices) # for sequential classes#
self.sampled_indices_inverse = {
s: i
for i, s in enumerate(self.sampled_indices)
}
ys = self.data.X[self.sampled_indices][:, self.data_xsind]
self.curves.append((x, ys))
for y in ys:
c = pg.PlotCurveItem(x=x, y=y, pen=self.pen_normal[None])
self.curves_cont.add_curve(c)
self.curves_plotted = self.curves
def add_curve(self, x, y, pen=None):
c = pg.PlotCurveItem(x=x,
y=y,
pen=pen if pen else self.pen_normal[None])
self.curves_cont.add_curve(c)
# for rescale to work correctly
self.curves_plotted.append((x, np.array([y])))
def add_fill_curve(self, x, ylow, yhigh, pen):
phigh = pg.PlotCurveItem(x, yhigh, pen=pen)
plow = pg.PlotCurveItem(x, ylow, pen=pen)
color = pen.color()
color.setAlphaF(0.2)
cc = pg.mkBrush(color)
pfill = pg.FillBetweenItem(plow, phigh, brush=cc)
pfill.setZValue(10)
self.curves_cont.add_bounds(phigh)
self.curves_cont.add_bounds(plow)
self.curves_cont.add_curve(pfill, ignore_bounds=True)
# for zoom to work correctly
self.curves_plotted.append((x, np.array([ylow, yhigh])))
def _current_color_var(self):
color_var = None
if self.feature_color and self.data:
color_var = self.data.domain[self.feature_color]
return color_var
def set_pen_colors(self):
self.pen_normal.clear()
self.pen_subset.clear()
self.pen_selected.clear()
color_var = self._current_color_var()
if color_var is not None:
colors = color_var.colors
discrete_palette = ColorPaletteGenerator(
number_of_colors=len(colors), rgb_colors=colors)
for v in color_var.values:
basecolor = discrete_palette[color_var.to_val(v)]
basecolor = QColor(basecolor)
basecolor.setAlphaF(0.9)
self.pen_subset[v] = pg.mkPen(color=basecolor, width=1)
self.pen_selected[v] = pg.mkPen(color=basecolor,
width=2,
style=Qt.DotLine)
notselcolor = basecolor.lighter(150)
notselcolor.setAlphaF(0.5)
self.pen_normal[v] = pg.mkPen(color=notselcolor, width=1)
def show_individual(self):
self.view_average_menu.setChecked(False)
self.set_pen_colors()
self.clear_graph()
self.viewtype = INDIVIDUAL
if not self.data:
return
self.add_curves(self.data_x, self.data.X)
self.set_curve_pens()
self.curves_cont.update()
self.plot.vb.set_mode_panning()
def resample_curves(self, seed):
self.sample_seed = seed
self.update_view()
def rescale_current_view_y(self):
if self.curves_plotted:
cache = {}
qrect = self.plot.vb.targetRect()
bleft = qrect.left()
bright = qrect.right()
ymax = max(
np.max(ys[:,
searchsorted_cached(cache, x, bleft):
searchsorted_cached(cache, x, bright, side="right")])
for x, ys in self.curves_plotted)
ymin = min(
np.min(ys[:,
searchsorted_cached(cache, x, bleft):
searchsorted_cached(cache, x, bright, side="right")])
for x, ys in self.curves_plotted)
self.plot.vb.setYRange(ymin, ymax, padding=0.0)
self.plot.vb.pad_current_view_y()
def _split_by_color_value(self, data):
color_var = self._current_color_var()
rd = {}
if color_var is None:
rd[None] = np.full((len(data.X), ), True, dtype=bool)
else:
cvd = Orange.data.Table(Orange.data.Domain([color_var]), data)
for v in range(len(color_var.values)):
v1 = np.in1d(cvd.X, v)
if np.any(v1):
rd[color_var.values[v]] = v1
nanind = np.isnan(cvd.X)
if np.any(nanind):
rd[None] = nanind
return rd
def viewtype_changed(self):
if self.viewtype == AVERAGE:
self.viewtype = INDIVIDUAL
else:
self.viewtype = AVERAGE
self.update_view()
def show_average(self):
self.view_average_menu.setChecked(True)
self.set_pen_colors()
self.clear_graph()
self.viewtype = AVERAGE
if not self.data:
return
x = self.data_x
if self.data:
ysall = []
cinfo = []
selected_indices = np.full(self.data_size, False, dtype=bool)
selected_indices[list(self.selected_indices)] = True
dsplit = self._split_by_color_value(self.data)
for colorv, indices in dsplit.items():
for part in [None, "subset", "selection"]:
if part is None:
part_selection = indices
pen = self.pen_normal if np.any(
self.subset_indices) else self.pen_subset
elif part == "selection" and self.selection_type:
part_selection = indices & selected_indices
pen = self.pen_selected
elif part == "subset":
part_selection = indices & self.subset_indices
pen = self.pen_subset
if np.any(part_selection):
ys = self.data.X[part_selection]
std = np.nanstd(ys, axis=0)
mean = np.nanmean(ys, axis=0)
std = std[self.data_xsind]
mean = mean[self.data_xsind]
ysall.append(mean)
penc = QPen(pen[colorv])
penc.setWidth(3)
self.add_curve(x, mean, pen=penc)
self.add_fill_curve(x,
mean + std,
mean - std,
pen=penc)
cinfo.append((colorv, part, part_selection))
self.curves.append((x, np.array(ysall)))
self.multiple_curves_info = cinfo
self.curves_cont.update()
self.plot.vb.set_mode_panning()
def update_view(self):
if self.viewtype == INDIVIDUAL:
self.show_individual()
elif self.viewtype == AVERAGE:
self.show_average()
if self.rescale_next:
self.plot.vb.autoRange()
def set_data(self, data):
old_domain = self.data.domain if self.data else None
self.clear_data()
domain = data.domain if data is not None else None
self.feature_color_model.set_domain(domain)
if old_domain and domain != old_domain: # do not reset feature_color
self.feature_color = self.feature_color_model[
0] if self.feature_color_model else None
if data is not None:
if self.data:
self.rescale_next = not data.domain == self.data.domain
else:
self.rescale_next = True
self.data = data
# reset selection if dataset sizes do not match
if self.selected_indices and \
(max(self.selected_indices) >= len(self.data) or self.data_size != len(self.data)):
self.selected_indices.clear()
self.data_size = len(self.data)
# get and sort input data
x = getx(self.data)
xsind = np.argsort(x)
self.data_x = x[xsind]
self.data_xsind = xsind
self._set_subset_indices(
) # refresh subset indices according to the current subset
def _set_subset_indices(self):
ids = self.subset
if ids is None:
ids = []
if self.data:
self.subset_indices = np.in1d(self.data.ids, ids)
def set_data_subset(self, ids):
self.subset = ids
self._set_subset_indices()
self.update_view()
def select_by_click(self, pos, add):
clicked_curve = self.highlighted
if clicked_curve is not None:
if self.viewtype == INDIVIDUAL:
self.make_selection([self.sampled_indices[clicked_curve]], add)
elif self.viewtype == AVERAGE:
sel = np.where(self.multiple_curves_info[clicked_curve][2])[0]
self.make_selection(sel, add)
else:
self.make_selection(None, add)
if self.viewtype == AVERAGE:
# reset average view
self.show_average()
def select_line(self, startp, endp, add):
intersected = self.intersect_curves((startp.x(), startp.y()),
(endp.x(), endp.y()))
self.make_selection(intersected if len(intersected) else None, add)
def intersect_curves(self, q1, q2):
x, ys = self.data_x, self.data.X
if len(x) < 2:
return []
x1, x2 = min(q1[0], q2[0]), max(q1[0], q2[0])
xmin = closestindex(x, x1)
xmax = closestindex(x, x2, side="right")
xmin = max(0, xmin - 1)
xmax = xmax + 2
sel = np.flatnonzero(
intersect_curves_chunked(x, ys, self.data_xsind, q1, q2, xmin,
xmax))
return sel
class ImagePlot(QWidget, OWComponent):
attr_x = ContextSetting(None)
attr_y = ContextSetting(None)
gamma = Setting(0)
threshold_low = Setting(0.0)
threshold_high = Setting(1.0)
def __init__(self, parent, select_fn=None):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
self.parent = parent
self.select_fn = select_fn
self.selection_type = SELECTMANY
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.selection_matrix = None
self.selection_indices = None
self.plotview = pg.PlotWidget(background="w",
viewBox=InteractiveViewBox(self))
self.plot = self.plotview.getPlotItem()
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.vb.setAspectLocked()
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("View", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
actions = []
zoom_in = QAction("Zoom in",
self,
triggered=self.plot.vb.set_mode_zooming)
zoom_in.setShortcuts([Qt.Key_Z, QKeySequence(QKeySequence.ZoomIn)])
zoom_in.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(zoom_in)
zoom_fit = QAction(
"Zoom to fit",
self,
triggered=lambda x:
(self.plot.vb.autoRange(), self.plot.vb.set_mode_panning()))
zoom_fit.setShortcuts(
[Qt.Key_Backspace,
QKeySequence(Qt.ControlModifier | Qt.Key_0)])
zoom_fit.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(zoom_fit)
select_square = QAction(
"Select (square)",
self,
triggered=self.plot.vb.set_mode_select_square,
)
select_square.setShortcuts([Qt.Key_S])
select_square.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_square)
view_menu.addActions(actions)
self.addActions(actions)
common_options = dict(labelWidth=50,
orientation=Qt.Horizontal,
sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.PRIMITIVE)
self.models = [self.xy_model]
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)
box.setFocusProxy(self.cb_attr_x)
form = QFormLayout(formAlignment=Qt.AlignLeft,
labelAlignment=Qt.AlignLeft,
fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow)
lowslider = gui.hSlider(box,
self,
"threshold_low",
minValue=0.0,
maxValue=1.0,
step=0.05,
ticks=True,
intOnly=False,
createLabel=False,
callback=self.update_color_schema)
highslider = gui.hSlider(box,
self,
"threshold_high",
minValue=0.0,
maxValue=1.0,
step=0.05,
ticks=True,
intOnly=False,
createLabel=False,
callback=self.update_color_schema)
form.addRow("Low:", lowslider)
form.addRow("High:", highslider)
box.layout().addLayout(form)
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.markings_integral = []
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def update_color_schema(self):
if not self.threshold_low < self.threshold_high:
# TODO this belongs here, not in the parent
self.parent.Warning.threshold_error()
return
else:
self.parent.Warning.threshold_error.clear()
# TODO add color chooser
# bgy color scheme
colors = np.array(colorcet.linear_bgy_10_95_c74) * 255
cols = color_palette_table(colors,
threshold_low=self.threshold_low,
threshold_high=self.threshold_high)
self.img.setLookupTable(cols)
# use defined discrete palette
if self.parent.value_type == 1:
dat = self.data.domain[self.parent.attr_value]
if isinstance(dat, DiscreteVariable):
self.img.setLookupTable(dat.colors)
def update_attr(self):
self.update_view()
def init_attr_values(self):
domain = self.data.domain if self.data is not None else None
for model in self.models:
model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
self.attr_y = self.xy_model[1] if len(self.xy_model) >= 2 \
else self.attr_x
def set_data(self, data):
self.img.clear()
if data is not None:
same_domain = (self.data and data.domain.checksum()
== self.data.domain.checksum())
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
if not same_domain:
self.init_attr_values()
else:
self.data = None
self.data_ids = {}
def set_integral_limits(self):
self.update_view()
def refresh_markings(self, di):
for m in self.markings_integral:
self.parent.curveplot.remove_marking(m)
self.markings_integral = []
if di is None:
return # nothing to draw
color = Qt.red
def add_marking(a):
self.markings_integral.append(a)
self.parent.curveplot.add_marking(a)
if "baseline" in di:
bs_x, bs_ys = di["baseline"]
baseline = pg.PlotCurveItem()
baseline.setPen(
pg.mkPen(color=QColor(color), width=2, style=Qt.DotLine))
baseline.setZValue(10)
baseline.setData(x=bs_x, y=bs_ys[0])
add_marking(baseline)
if "curve" in di:
bs_x, bs_ys = di["curve"]
curve = pg.PlotCurveItem()
curve.setPen(pg.mkPen(color=QColor(color), width=2))
curve.setZValue(10)
curve.setData(x=bs_x, y=bs_ys[0])
add_marking(curve)
if "fill" in di:
(x1, ys1), (x2, ys2) = di["fill"]
phigh = pg.PlotCurveItem(x1, ys1[0], pen=None)
plow = pg.PlotCurveItem(x2, ys2[0], pen=None)
color = QColor(color)
color.setAlphaF(0.5)
cc = pg.mkBrush(color)
pfill = pg.FillBetweenItem(plow, phigh, brush=cc)
pfill.setZValue(9)
add_marking(pfill)
if "line" in di:
(x1, y1), (x2, y2) = di["line"]
line = pg.PlotCurveItem()
line.setPen(pg.mkPen(color=QColor(color), width=4))
line.setZValue(10)
line.setData(x=[x1[0], x2[0]], y=[y1[0], y2[0]])
add_marking(line)
def update_view(self):
self.img.clear()
self.img.setSelection(None)
self.lsx = None
self.lsy = None
self.selection_matrix = None
self.selection_indices = None
if self.data and self.attr_x and self.attr_y:
xat = self.data.domain[self.attr_x]
yat = self.data.domain[self.attr_y]
ndom = Orange.data.Domain([xat, yat])
datam = Orange.data.Table(ndom, self.data)
coorx = datam.X[:, 0]
coory = datam.X[:, 1]
self.lsx = lsx = values_to_linspace(coorx)
self.lsy = lsy = values_to_linspace(coory)
if lsx[-1] * lsy[-1] > IMAGE_TOO_BIG:
self.parent.Error.image_too_big(lsx[-1], lsy[-1])
return
else:
self.parent.Error.image_too_big.clear()
di = {}
if self.parent.value_type == 0: # integrals
imethod = self.parent.integration_methods[
self.parent.integration_method]
l1, l2, l3 = self.parent.lowlim, self.parent.highlim, self.parent.choose
gx = getx(self.data)
if l1 is None:
l1 = min(gx) - 1
if l2 is None:
l2 = max(gx) + 1
l1, l2 = min(l1, l2), max(l1, l2)
if l3 is None:
l3 = (l1 + l2) / 2
if imethod != Integrate.PeakAt:
datai = Integrate(method=imethod, limits=[[l1,
l2]])(self.data)
else:
datai = Integrate(method=imethod, limits=[[l3,
l3]])(self.data)
if self.parent.curveplot.selected_indices:
# curveplot can have a subset of curves on the input> match IDs
ind = list(self.parent.curveplot.selected_indices)[0]
dind = self.data_ids[self.parent.curveplot.data[ind].id]
di = datai.domain.attributes[0].compute_value.draw_info(
self.data[dind:dind + 1])
d = datai.X[:, 0]
else:
dat = self.data.domain[self.parent.attr_value]
ndom = Orange.data.Domain([dat])
d = Orange.data.Table(ndom, self.data).X[:, 0]
self.refresh_markings(di)
# set data
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
self.selection_indices = np.ones((lsy[2], lsx[2]), dtype=int) * -1
self.selection_matrix = np.zeros((lsy[2], lsx[2]), dtype=bool)
xindex = index_values(coorx, lsx)
yindex = index_values(coory, lsy)
imdata[yindex, xindex] = d
self.selection_indices[yindex, xindex] = np.arange(0,
len(d),
dtype=int)
levels = get_levels(imdata)
self.update_color_schema()
self.img.setImage(imdata, levels=levels)
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1] - lsx[0]) + 2 * shiftx
height = (lsy[1] - lsy[0]) + 2 * shifty
self.img.setRect(QRectF(left, bottom, width, height))
def make_selection(self, selected, add):
"""Add selected indices to the selection."""
if self.data and self.selection_matrix is not None:
if selected is None and not add:
self.selection_matrix[:, :] = 0
elif selected is not None:
if add:
self.selection_matrix = np.logical_or(
self.selection_matrix, selected)
else:
self.selection_matrix = selected
self.img.setSelection(self.selection_matrix)
self.send_selection()
def send_selection(self):
if self.data and self.selection_matrix is not None:
selected = self.selection_indices[np.where(self.selection_matrix)]
selected = selected[selected >= 0] # filter undefined values
selected.sort()
else:
selected = []
if self.select_fn:
self.select_fn(selected)
def select_square(self, p1, p2, add):
""" Select elements within a square drawn by the user.
A selection square needs to contain whole pixels """
if self.data and self.lsx and self.lsy:
# get edges
x1, x2 = min(p1.x(), p2.x()), max(p1.x(), p2.x())
y1, y2 = min(p1.y(), p2.y()), max(p1.y(), p2.y())
# here we change edges of the square so that next
# pixel centers need to be in the square x1, x2, y1, y2
shiftx = _shift(self.lsx)
shifty = _shift(self.lsy)
x1 += shiftx
x2 -= shiftx
y1 += shifty
y2 -= shifty
# get locations in image pixels
x1 = location_values(x1, self.lsx)
x2 = location_values(x2, self.lsx)
y1 = location_values(y1, self.lsy)
y2 = location_values(y2, self.lsy)
# pixel centre need to within the square to be selected
x1, x2 = np.ceil(x1).astype(int), np.floor(x2).astype(int)
y1, y2 = np.ceil(y1).astype(int), np.floor(y2).astype(int)
# select a range
x1 = max(x1, 0)
y1 = max(y1, 0)
x2 = max(x2 + 1, 0)
y2 = max(y2 + 1, 0)
select_data = np.zeros((self.lsy[2], self.lsx[2]), dtype=bool)
select_data[y1:y2, x1:x2] = 1
self.make_selection(select_data, add)
def select_by_click(self, pos, add):
if self.data:
x, y = pos.x(), pos.y()
x = location_values(x, self.lsy)
y = location_values(y, self.lsy)
x = np.round(x).astype(int)
y = np.round(y).astype(int)
if 0 <= x < self.lsx[2] and 0 <= y < self.lsy[2]:
select_data = np.zeros((self.lsy[2], self.lsx[2]), dtype=bool)
select_data[y, x] = 1
self.make_selection(select_data, add)
else:
self.make_selection(None, add)
class ImagePlot(QWidget, OWComponent, SelectionGroupMixin,
ImageColorSettingMixin, ImageZoomMixin):
attr_x = ContextSetting(None)
attr_y = ContextSetting(None)
gamma = Setting(0)
selection_changed = Signal()
def __init__(self, parent):
QWidget.__init__(self)
OWComponent.__init__(self, parent)
SelectionGroupMixin.__init__(self)
ImageColorSettingMixin.__init__(self)
ImageZoomMixin.__init__(self)
self.parent = parent
self.selection_type = SELECTMANY
self.saving_enabled = True
self.selection_enabled = True
self.viewtype = INDIVIDUAL # required bt InteractiveViewBox
self.highlighted = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
self.plotview = pg.PlotWidget(background="w", viewBox=InteractiveViewBox(self))
self.plot = self.plotview.getPlotItem()
self.plot.scene().installEventFilter(
HelpEventDelegate(self.help_event, self))
layout = QVBoxLayout()
self.setLayout(layout)
self.layout().setContentsMargins(0, 0, 0, 0)
self.layout().addWidget(self.plotview)
self.img = ImageItemNan()
self.img.setOpts(axisOrder='row-major')
self.plot.addItem(self.img)
self.plot.vb.setAspectLocked()
self.plot.scene().sigMouseMoved.connect(self.plot.vb.mouseMovedEvent)
layout = QGridLayout()
self.plotview.setLayout(layout)
self.button = QPushButton("Menu", self.plotview)
self.button.setAutoDefault(False)
layout.setRowStretch(1, 1)
layout.setColumnStretch(1, 1)
layout.addWidget(self.button, 0, 0)
view_menu = MenuFocus(self)
self.button.setMenu(view_menu)
# prepare interface according to the new context
self.parent.contextAboutToBeOpened.connect(lambda x: self.init_interface_data(x[0]))
actions = []
self.add_zoom_actions(view_menu)
select_square = QAction(
"Select (square)", self, triggered=self.plot.vb.set_mode_select_square,
)
select_square.setShortcuts([Qt.Key_S])
select_square.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_square)
select_polygon = QAction(
"Select (polygon)", self, triggered=self.plot.vb.set_mode_select_polygon,
)
select_polygon.setShortcuts([Qt.Key_P])
select_polygon.setShortcutContext(Qt.WidgetWithChildrenShortcut)
actions.append(select_polygon)
if self.saving_enabled:
save_graph = QAction(
"Save graph", self, triggered=self.save_graph,
)
save_graph.setShortcuts([QKeySequence(Qt.ControlModifier | Qt.Key_I)])
actions.append(save_graph)
view_menu.addActions(actions)
self.addActions(actions)
common_options = dict(
labelWidth=50, orientation=Qt.Horizontal, sendSelectedValue=True,
valueType=str)
choose_xy = QWidgetAction(self)
box = gui.vBox(self)
box.setFocusPolicy(Qt.TabFocus)
self.xy_model = DomainModel(DomainModel.METAS | DomainModel.CLASSES,
valid_types=DomainModel.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)
box.setFocusProxy(self.cb_attr_x)
box.layout().addWidget(self.color_settings_box())
choose_xy.setDefaultWidget(box)
view_menu.addAction(choose_xy)
self.markings_integral = []
self.lsx = None # info about the X axis
self.lsy = None # info about the Y axis
self.data = None
self.data_ids = {}
def init_interface_data(self, data):
same_domain = (self.data and data and
data.domain == self.data.domain)
if not same_domain:
self.init_attr_values(data)
def help_event(self, ev):
pos = self.plot.vb.mapSceneToView(ev.scenePos())
sel = self._points_at_pos(pos)
prepared = []
if sel is not None:
data, vals, points = self.data[sel], self.data_values[sel], self.data_points[sel]
for d, v, p in zip(data, vals, points):
basic = "({}, {}): {}".format(p[0], p[1], v)
variables = [v for v in self.data.domain.metas + self.data.domain.class_vars
if v not in [self.attr_x, self.attr_y]]
features = ['{} = {}'.format(attr.name, d[attr]) for attr in variables]
prepared.append("\n".join([basic] + features))
text = "\n\n".join(prepared)
if text:
text = ('<span style="white-space:pre">{}</span>'
.format(escape(text)))
QToolTip.showText(ev.screenPos(), text, widget=self.plotview)
return True
else:
return False
def update_attr(self):
self.update_view()
def init_attr_values(self, data):
domain = data.domain if data is not None else None
self.xy_model.set_domain(domain)
self.attr_x = self.xy_model[0] if self.xy_model else None
self.attr_y = self.xy_model[1] if len(self.xy_model) >= 2 \
else self.attr_x
def save_graph(self):
saveplot.save_plot(self.plotview, self.parent.graph_writers)
def set_data(self, data):
if data:
self.data = data
self.data_ids = {e: i for i, e in enumerate(data.ids)}
self.restore_selection_settings()
else:
self.data = None
self.data_ids = {}
def refresh_markings(self, di):
refresh_integral_markings([{"draw": di}], self.markings_integral, self.parent.curveplot)
def update_view(self):
self.img.clear()
self.img.setSelection(None)
self.lsx = None
self.lsy = None
self.data_points = None
self.data_values = None
self.data_imagepixels = None
if self.data and self.attr_x and self.attr_y:
xat = self.data.domain[self.attr_x]
yat = self.data.domain[self.attr_y]
ndom = Orange.data.Domain([xat, yat])
datam = Orange.data.Table(ndom, self.data)
coorx = datam.X[:, 0]
coory = datam.X[:, 1]
self.data_points = datam.X
self.lsx = lsx = values_to_linspace(coorx)
self.lsy = lsy = values_to_linspace(coory)
if lsx[-1] * lsy[-1] > IMAGE_TOO_BIG:
self.parent.Error.image_too_big(lsx[-1], lsy[-1])
return
else:
self.parent.Error.image_too_big.clear()
di = {}
if self.parent.value_type == 0: # integrals
imethod = self.parent.integration_methods[self.parent.integration_method]
if imethod != Integrate.PeakAt:
datai = Integrate(methods=imethod,
limits=[[self.parent.lowlim, self.parent.highlim]])(self.data)
else:
datai = Integrate(methods=imethod,
limits=[[self.parent.choose, self.parent.choose]])(self.data)
if np.any(self.parent.curveplot.selection_group):
# curveplot can have a subset of curves on the input> match IDs
ind = np.flatnonzero(self.parent.curveplot.selection_group)[0]
dind = self.data_ids[self.parent.curveplot.data[ind].id]
di = datai.domain.attributes[0].compute_value.draw_info(self.data[dind:dind+1])
d = datai.X[:, 0]
else:
dat = self.data.domain[self.parent.attr_value]
ndom = Orange.data.Domain([dat])
d = Orange.data.Table(ndom, self.data).X[:, 0]
self.refresh_markings(di)
# set data
imdata = np.ones((lsy[2], lsx[2])) * float("nan")
xindex = index_values(coorx, lsx)
yindex = index_values(coory, lsy)
imdata[yindex, xindex] = d
self.data_values = d
self.data_imagepixels = np.vstack((yindex, xindex)).T
self.img.setImage(imdata, autoLevels=False)
self.img.setLevels([0, 1])
self.update_levels()
self.update_color_schema()
# shift centres of the pixels so that the axes are useful
shiftx = _shift(lsx)
shifty = _shift(lsy)
left = lsx[0] - shiftx
bottom = lsy[0] - shifty
width = (lsx[1]-lsx[0]) + 2*shiftx
height = (lsy[1]-lsy[0]) + 2*shifty
self.img.setRect(QRectF(left, bottom, width, height))
self.refresh_img_selection()
def refresh_img_selection(self):
selected_px = np.zeros((self.lsy[2], self.lsx[2]), dtype=np.uint8)
selected_px[self.data_imagepixels[:, 0], self.data_imagepixels[:, 1]] = self.selection_group
self.img.setSelection(selected_px)
def make_selection(self, selected, add):
"""Add selected indices to the selection."""
add_to_group, add_group, remove = selection_modifiers()
if self.data and self.lsx and self.lsy:
if add_to_group: # both keys - need to test it before add_group
selnum = np.max(self.selection_group)
elif add_group:
selnum = np.max(self.selection_group) + 1
elif remove:
selnum = 0
else:
self.selection_group *= 0
selnum = 1
if selected is not None:
self.selection_group[selected] = selnum
self.refresh_img_selection()
self.prepare_settings_for_saving()
self.selection_changed.emit()
def select_square(self, p1, p2, add):
""" Select elements within a square drawn by the user.
A selection needs to contain whole pixels """
x1, y1 = p1.x(), p1.y()
x2, y2 = p2.x(), p2.y()
polygon = [QPointF(x1, y1), QPointF(x2, y1), QPointF(x2, y2), QPointF(x1, y2), QPointF(x1, y1)]
self.select_polygon(polygon, add)
def select_polygon(self, polygon, add):
""" Select by a polygon which has to contain whole pixels. """
if self.data and self.lsx and self.lsy:
polygon = [(p.x(), p.y()) for p in polygon]
# a polygon should contain all pixel
shiftx = _shift(self.lsx)
shifty = _shift(self.lsy)
points_edges = [self.data_points + [[shiftx, shifty]],
self.data_points + [[-shiftx, shifty]],
self.data_points + [[shiftx, -shifty]],
self.data_points + [[-shiftx, -shifty]]]
inp = in_polygon(points_edges[0], polygon)
for p in points_edges[1:]:
inp *= in_polygon(p, polygon)
self.make_selection(inp, add)
def _points_at_pos(self, pos):
if self.data and self.lsx and self.lsy:
x, y = pos.x(), pos.y()
distance = np.abs(self.data_points - [[x, y]])
sel = (distance[:, 0] < _shift(self.lsx)) * (distance[:, 1] < _shift(self.lsy))
return sel
def select_by_click(self, pos, add):
sel = self._points_at_pos(pos)
self.make_selection(sel, add)
class OWFeatureConstructor(OWWidget):
name = "特征构造器(Feature Constructor)"
description = "用输入数据集中的现有特征构造新特征。"
icon = "icons/FeatureConstructor.svg"
keywords = ['tezheng', 'gouzao', 'tezhenggouzao']
category = "数据(Data)"
icon = "icons/FeatureConstructor.svg"
class Inputs:
data = Input("数据(Data)", Orange.data.Table, replaces=['Data'])
class Outputs:
data = Output("数据(Data)", Orange.data.Table, replaces=['Data'])
want_main_area = False
settingsHandler = FeatureConstructorHandler()
descriptors = ContextSetting([])
currentIndex = ContextSetting(-1)
expressions_with_values = ContextSetting(False)
settings_version = 2
EDITORS = [(ContinuousDescriptor, ContinuousFeatureEditor),
(DateTimeDescriptor, DateTimeFeatureEditor),
(DiscreteDescriptor, DiscreteFeatureEditor),
(StringDescriptor, StringFeatureEditor)]
class Error(OWWidget.Error):
more_values_needed = Msg("Categorical feature {} needs more values.")
invalid_expressions = Msg("Invalid expressions: {}.")
class Warning(OWWidget.Warning):
renamed_var = Msg("Recently added variable has been renamed, "
"to avoid duplicates.\n")
def __init__(self):
super().__init__()
self.data = None
self.editors = {}
box = gui.vBox(self.controlArea, "变量定义")
toplayout = QHBoxLayout()
toplayout.setContentsMargins(0, 0, 0, 0)
box.layout().addLayout(toplayout)
self.editorstack = QStackedWidget(sizePolicy=QSizePolicy(
QSizePolicy.MinimumExpanding, QSizePolicy.MinimumExpanding))
for descclass, editorclass in self.EDITORS:
editor = editorclass()
editor.featureChanged.connect(self._on_modified)
self.editors[descclass] = editor
self.editorstack.addWidget(editor)
self.editorstack.setEnabled(False)
buttonlayout = QVBoxLayout(spacing=10)
buttonlayout.setContentsMargins(0, 0, 0, 0)
self.addbutton = QPushButton("新建",
toolTip="Create a new variable",
minimumWidth=120,
shortcut=QKeySequence.New)
def unique_name(fmt, reserved):
candidates = (fmt.format(i) for i in count(1))
return next(c for c in candidates if c not in reserved)
def generate_newname(fmt):
return unique_name(fmt, self.reserved_names())
menu = QMenu(self.addbutton)
cont = menu.addAction("数值数据")
cont.triggered.connect(lambda: self.addFeature(
ContinuousDescriptor(generate_newname("X{}"), "", 3)))
disc = menu.addAction("分类数据")
disc.triggered.connect(lambda: self.addFeature(
DiscreteDescriptor(generate_newname("D{}"), "", (), False)))
string = menu.addAction("文本")
string.triggered.connect(lambda: self.addFeature(
StringDescriptor(generate_newname("S{}"), "")))
datetime = menu.addAction("日期/时间")
datetime.triggered.connect(lambda: self.addFeature(
DateTimeDescriptor(generate_newname("T{}"), "")))
menu.addSeparator()
self.duplicateaction = menu.addAction("复制选中变量")
self.duplicateaction.triggered.connect(self.duplicateFeature)
self.duplicateaction.setEnabled(False)
self.addbutton.setMenu(menu)
self.removebutton = QPushButton("删除",
toolTip="删除选中变量",
minimumWidth=120,
shortcut=QKeySequence.Delete)
self.removebutton.clicked.connect(self.removeSelectedFeature)
buttonlayout.addWidget(self.addbutton)
buttonlayout.addWidget(self.removebutton)
buttonlayout.addStretch(10)
toplayout.addLayout(buttonlayout, 0)
toplayout.addWidget(self.editorstack, 10)
# Layout for the list view
layout = QVBoxLayout(spacing=1, margin=0)
self.featuremodel = DescriptorModel(parent=self)
self.featureview = QListView(minimumWidth=200,
minimumHeight=50,
sizePolicy=QSizePolicy(
QSizePolicy.Minimum,
QSizePolicy.MinimumExpanding))
self.featureview.setItemDelegate(FeatureItemDelegate(self))
self.featureview.setModel(self.featuremodel)
self.featureview.selectionModel().selectionChanged.connect(
self._on_selectedVariableChanged)
layout.addWidget(self.featureview)
box.layout().addLayout(layout, 1)
self.fix_button = gui.button(self.buttonsArea,
self,
"Upgrade Expressions",
callback=self.fix_expressions)
self.fix_button.setHidden(True)
gui.button(self.buttonsArea,
self,
"Send",
callback=self.apply,
default=True)
def setCurrentIndex(self, index):
index = min(index, len(self.featuremodel) - 1)
self.currentIndex = index
if index >= 0:
itemmodels.select_row(self.featureview, index)
desc = self.featuremodel[min(index, len(self.featuremodel) - 1)]
editor = self.editors[type(desc)]
self.editorstack.setCurrentWidget(editor)
editor.setEditorData(desc, self.data.domain if self.data else None)
self.editorstack.setEnabled(index >= 0)
self.duplicateaction.setEnabled(index >= 0)
self.removebutton.setEnabled(index >= 0)
def _on_selectedVariableChanged(self, selected, *_):
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
else:
self.setCurrentIndex(-1)
def _on_modified(self):
if self.currentIndex >= 0:
self.Warning.clear()
editor = self.editorstack.currentWidget()
proposed = editor.editorData().name
uniq = get_unique_names(self.reserved_names(self.currentIndex),
proposed)
feature = editor.editorData()
if editor.editorData().name != uniq:
self.Warning.renamed_var()
feature = feature.__class__(uniq, *feature[1:])
self.featuremodel[self.currentIndex] = feature
self.descriptors = list(self.featuremodel)
def setDescriptors(self, descriptors):
"""
Set a list of variable descriptors to edit.
"""
self.descriptors = descriptors
self.featuremodel[:] = list(self.descriptors)
def reserved_names(self, idx_=None):
varnames = []
if self.data is not None:
varnames = [
var.name
for var in self.data.domain.variables + self.data.domain.metas
]
varnames += [
desc.name for idx, desc in enumerate(self.featuremodel)
if idx != idx_
]
return set(varnames)
@Inputs.data
@check_sql_input
def setData(self, data=None):
"""Set the input dataset."""
self.closeContext()
self.data = data
self.expressions_with_values = False
self.descriptors = []
self.currentIndex = -1
if self.data is not None:
self.openContext(data)
# disconnect from the selection model while reseting the model
selmodel = self.featureview.selectionModel()
selmodel.selectionChanged.disconnect(self._on_selectedVariableChanged)
self.featuremodel[:] = list(self.descriptors)
self.setCurrentIndex(self.currentIndex)
selmodel.selectionChanged.connect(self._on_selectedVariableChanged)
self.fix_button.setHidden(not self.expressions_with_values)
self.editorstack.setEnabled(self.currentIndex >= 0)
def handleNewSignals(self):
if self.data is not None:
self.apply()
else:
self.Outputs.data.send(None)
self.fix_button.setHidden(True)
def addFeature(self, descriptor):
self.featuremodel.append(descriptor)
self.setCurrentIndex(len(self.featuremodel) - 1)
editor = self.editorstack.currentWidget()
editor.nameedit.setFocus()
editor.nameedit.selectAll()
def removeFeature(self, index):
del self.featuremodel[index]
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
elif index is None and self.featuremodel.rowCount():
# Deleting the last item clears selection
self.setCurrentIndex(self.featuremodel.rowCount() - 1)
def removeSelectedFeature(self):
if self.currentIndex >= 0:
self.removeFeature(self.currentIndex)
def duplicateFeature(self):
desc = self.featuremodel[self.currentIndex]
self.addFeature(copy.deepcopy(desc))
@staticmethod
def check_attrs_values(attr, data):
for i in range(len(data)):
for var in attr:
if not math.isnan(data[i, var]) \
and int(data[i, var]) >= len(var.values):
return var.name
return None
def _validate_descriptors(self, desc):
def validate(source):
try:
return validate_exp(ast.parse(source, mode="eval"))
# ast.parse can return arbitrary errors, not only SyntaxError
# pylint: disable=broad-except
except Exception:
return False
final = []
invalid = []
for d in desc:
if validate(d.expression):
final.append(d)
else:
final.append(d._replace(expression=""))
invalid.append(d)
if invalid:
self.Error.invalid_expressions(", ".join(s.name for s in invalid))
return final
def apply(self):
def report_error(err):
log = logging.getLogger(__name__)
log.error("", exc_info=True)
self.error("".join(format_exception_only(type(err), err)).rstrip())
self.Error.clear()
if self.data is None:
return
desc = list(self.featuremodel)
desc = self._validate_descriptors(desc)
try:
new_variables = construct_variables(desc, self.data,
self.expressions_with_values)
# user's expression can contain arbitrary errors
except Exception as err: # pylint: disable=broad-except
report_error(err)
return
attrs = [var for var in new_variables if var.is_primitive()]
metas = [var for var in new_variables if not var.is_primitive()]
new_domain = Orange.data.Domain(
self.data.domain.attributes + tuple(attrs),
self.data.domain.class_vars,
metas=self.data.domain.metas + tuple(metas))
try:
for variable in new_variables:
variable.compute_value.mask_exceptions = False
data = self.data.transform(new_domain)
# user's expression can contain arbitrary errors
# pylint: disable=broad-except
except Exception as err:
report_error(err)
return
finally:
for variable in new_variables:
variable.compute_value.mask_exceptions = True
disc_attrs_not_ok = self.check_attrs_values(
[var for var in attrs if var.is_discrete], data)
if disc_attrs_not_ok:
self.Error.more_values_needed(disc_attrs_not_ok)
return
self.Outputs.data.send(data)
def send_report(self):
items = OrderedDict()
for feature in self.featuremodel:
if isinstance(feature, DiscreteDescriptor):
desc = "categorical"
if feature.values:
desc += " with values " \
+ ", ".join(f"'{val}'" for val in feature.values)
if feature.ordered:
desc += "; ordered"
elif isinstance(feature, ContinuousDescriptor):
desc = "numeric"
elif isinstance(feature, DateTimeDescriptor):
desc = "date/time"
else:
desc = "text"
items[feature.name] = f"{feature.expression} ({desc})"
self.report_items(report.plural("Constructed feature{s}", len(items)),
items)
def fix_expressions(self):
dlg = QMessageBox(
QMessageBox.Question, "Fix Expressions",
"This widget's behaviour has changed. Values of categorical "
"variables are now inserted as their textual representations "
"(strings); previously they appeared as integer numbers, with an "
"attribute '.value' that contained the text.\n\n"
"The widget currently runs in compatibility mode. After "
"expressions are updated, manually check for their correctness.")
dlg.addButton("Update", QMessageBox.ApplyRole)
dlg.addButton("Cancel", QMessageBox.RejectRole)
if dlg.exec() == QMessageBox.RejectRole:
return
def fixer(mo):
var = domain[mo.group(2)]
if mo.group(3) == ".value": # uses string; remove `.value`
return "".join(mo.group(1, 2, 4))
# Uses ints: get them by indexing
return mo.group(1) + "{" + \
", ".join(f"'{val}': {i}"
for i, val in enumerate(var.values)) + \
f"}}[{var.name}]" + mo.group(4)
domain = self.data.domain
disc_vars = "|".join(f"{var.name}"
for var in chain(domain.variables, domain.metas)
if var.is_discrete)
expr = re.compile(r"(^|\W)(" + disc_vars + r")(\.value)?(\W|$)")
self.descriptors[:] = [
descriptor._replace(
expression=expr.sub(fixer, descriptor.expression))
for descriptor in self.descriptors
]
self.expressions_with_values = False
self.fix_button.hide()
index = self.currentIndex
self.featuremodel[:] = list(self.descriptors)
self.setCurrentIndex(index)
self.apply()
@classmethod
def migrate_context(cls, context, version):
if version is None or version < 2:
used_vars = set(
chain(*(
freevars(ast.parse(descriptor.expression, mode="eval"), [])
for descriptor in context.values["descriptors"]
if descriptor.expression)))
disc_vars = {
name
for (name, vtype) in chain(context.attributes.items(),
context.metas.items()) if vtype == 1
}
if used_vars & disc_vars:
context.values["expressions_with_values"] = True
class OWFeatureConstructor(OWWidget):
name = "Feature Constructor"
description = "Construct new features (data columns) from a set of " \
"existing features in the input dataset."
icon = "icons/FeatureConstructor.svg"
keywords = ['function', 'lambda']
class Inputs:
data = Input("Data", Orange.data.Table)
class Outputs:
data = Output("Data", Orange.data.Table)
want_main_area = False
settingsHandler = FeatureConstructorHandler()
descriptors = ContextSetting([])
currentIndex = ContextSetting(-1)
EDITORS = [(ContinuousDescriptor, ContinuousFeatureEditor),
(DateTimeDescriptor, DateTimeFeatureEditor),
(DiscreteDescriptor, DiscreteFeatureEditor),
(StringDescriptor, StringFeatureEditor)]
class Error(OWWidget.Error):
more_values_needed = Msg("Categorical feature {} needs more values.")
invalid_expressions = Msg("Invalid expressions: {}.")
class Warning(OWWidget.Warning):
renamed_var = Msg("Recently added variable has been renamed, "
"to avoid duplicates.\n")
def __init__(self):
super().__init__()
self.data = None
self.editors = {}
box = gui.vBox(self.controlArea, "Variable Definitions")
toplayout = QHBoxLayout()
toplayout.setContentsMargins(0, 0, 0, 0)
box.layout().addLayout(toplayout)
self.editorstack = QStackedWidget(sizePolicy=QSizePolicy(
QSizePolicy.MinimumExpanding, QSizePolicy.MinimumExpanding))
for descclass, editorclass in self.EDITORS:
editor = editorclass()
editor.featureChanged.connect(self._on_modified)
self.editors[descclass] = editor
self.editorstack.addWidget(editor)
self.editorstack.setEnabled(False)
buttonlayout = QVBoxLayout(spacing=10)
buttonlayout.setContentsMargins(0, 0, 0, 0)
self.addbutton = QPushButton("New",
toolTip="Create a new variable",
minimumWidth=120,
shortcut=QKeySequence.New)
def unique_name(fmt, reserved):
candidates = (fmt.format(i) for i in count(1))
return next(c for c in candidates if c not in reserved)
def generate_newname(fmt):
return unique_name(fmt, self.reserved_names())
menu = QMenu(self.addbutton)
cont = menu.addAction("Numeric")
cont.triggered.connect(lambda: self.addFeature(
ContinuousDescriptor(generate_newname("X{}"), "", 3)))
disc = menu.addAction("Categorical")
disc.triggered.connect(lambda: self.addFeature(
DiscreteDescriptor(generate_newname("D{}"), "", (), False)))
string = menu.addAction("Text")
string.triggered.connect(lambda: self.addFeature(
StringDescriptor(generate_newname("S{}"), "")))
datetime = menu.addAction("Date/Time")
datetime.triggered.connect(lambda: self.addFeature(
DateTimeDescriptor(generate_newname("T{}"), "")))
menu.addSeparator()
self.duplicateaction = menu.addAction("Duplicate Selected Variable")
self.duplicateaction.triggered.connect(self.duplicateFeature)
self.duplicateaction.setEnabled(False)
self.addbutton.setMenu(menu)
self.removebutton = QPushButton("Remove",
toolTip="Remove selected variable",
minimumWidth=120,
shortcut=QKeySequence.Delete)
self.removebutton.clicked.connect(self.removeSelectedFeature)
buttonlayout.addWidget(self.addbutton)
buttonlayout.addWidget(self.removebutton)
buttonlayout.addStretch(10)
toplayout.addLayout(buttonlayout, 0)
toplayout.addWidget(self.editorstack, 10)
# Layout for the list view
layout = QVBoxLayout(spacing=1, margin=0)
self.featuremodel = DescriptorModel(parent=self)
self.featureview = QListView(minimumWidth=200,
minimumHeight=50,
sizePolicy=QSizePolicy(
QSizePolicy.Minimum,
QSizePolicy.MinimumExpanding))
self.featureview.setItemDelegate(FeatureItemDelegate(self))
self.featureview.setModel(self.featuremodel)
self.featureview.selectionModel().selectionChanged.connect(
self._on_selectedVariableChanged)
self.info.set_input_summary(self.info.NoInput)
self.info.set_output_summary(self.info.NoOutput)
layout.addWidget(self.featureview)
box.layout().addLayout(layout, 1)
gui.button(self.buttonsArea,
self,
"Send",
callback=self.apply,
default=True)
def setCurrentIndex(self, index):
index = min(index, len(self.featuremodel) - 1)
self.currentIndex = index
if index >= 0:
itemmodels.select_row(self.featureview, index)
desc = self.featuremodel[min(index, len(self.featuremodel) - 1)]
editor = self.editors[type(desc)]
self.editorstack.setCurrentWidget(editor)
editor.setEditorData(desc, self.data.domain if self.data else None)
self.editorstack.setEnabled(index >= 0)
self.duplicateaction.setEnabled(index >= 0)
self.removebutton.setEnabled(index >= 0)
def _on_selectedVariableChanged(self, selected, *_):
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
else:
self.setCurrentIndex(-1)
def _on_modified(self):
if self.currentIndex >= 0:
self.Warning.clear()
editor = self.editorstack.currentWidget()
proposed = editor.editorData().name
unique = get_unique_names(self.reserved_names(self.currentIndex),
proposed)
feature = editor.editorData()
if editor.editorData().name != unique:
self.Warning.renamed_var()
feature = feature.__class__(unique, *feature[1:])
self.featuremodel[self.currentIndex] = feature
self.descriptors = list(self.featuremodel)
def setDescriptors(self, descriptors):
"""
Set a list of variable descriptors to edit.
"""
self.descriptors = descriptors
self.featuremodel[:] = list(self.descriptors)
def reserved_names(self, idx_=None):
varnames = []
if self.data is not None:
varnames = [
var.name
for var in self.data.domain.variables + self.data.domain.metas
]
varnames += [
desc.name for idx, desc in enumerate(self.featuremodel)
if idx != idx_
]
return set(varnames)
@Inputs.data
@check_sql_input
def setData(self, data=None):
"""Set the input dataset."""
self.closeContext()
self.data = data
self.info.set_input_summary(self.info.NoInput)
if self.data is not None:
descriptors = list(self.descriptors)
currindex = self.currentIndex
self.descriptors = []
self.currentIndex = -1
self.openContext(data)
self.info.set_input_summary(len(data),
format_summary_details(data))
if descriptors != self.descriptors or \
self.currentIndex != currindex:
# disconnect from the selection model while reseting the model
selmodel = self.featureview.selectionModel()
selmodel.selectionChanged.disconnect(
self._on_selectedVariableChanged)
self.featuremodel[:] = list(self.descriptors)
self.setCurrentIndex(self.currentIndex)
selmodel.selectionChanged.connect(
self._on_selectedVariableChanged)
self.editorstack.setEnabled(self.currentIndex >= 0)
def handleNewSignals(self):
if self.data is not None:
self.apply()
else:
self.info.set_output_summary(self.info.NoOutput)
self.Outputs.data.send(None)
def addFeature(self, descriptor):
self.featuremodel.append(descriptor)
self.setCurrentIndex(len(self.featuremodel) - 1)
editor = self.editorstack.currentWidget()
editor.nameedit.setFocus()
editor.nameedit.selectAll()
def removeFeature(self, index):
del self.featuremodel[index]
index = selected_row(self.featureview)
if index is not None:
self.setCurrentIndex(index)
elif index is None and self.featuremodel.rowCount():
# Deleting the last item clears selection
self.setCurrentIndex(self.featuremodel.rowCount() - 1)
def removeSelectedFeature(self):
if self.currentIndex >= 0:
self.removeFeature(self.currentIndex)
def duplicateFeature(self):
desc = self.featuremodel[self.currentIndex]
self.addFeature(copy.deepcopy(desc))
@staticmethod
def check_attrs_values(attr, data):
for i in range(len(data)):
for var in attr:
if not math.isnan(data[i, var]) \
and int(data[i, var]) >= len(var.values):
return var.name
return None
def _validate_descriptors(self, desc):
def validate(source):
try:
return validate_exp(ast.parse(source, mode="eval"))
# ast.parse can return arbitrary errors, not only SyntaxError
# pylint: disable=broad-except
except Exception:
return False
final = []
invalid = []
for d in desc:
if validate(d.expression):
final.append(d)
else:
final.append(d._replace(expression=""))
invalid.append(d)
if invalid:
self.Error.invalid_expressions(", ".join(s.name for s in invalid))
return final
def apply(self):
def report_error(err):
log = logging.getLogger(__name__)
log.error("", exc_info=True)
self.error("".join(format_exception_only(type(err), err)).rstrip())
self.Error.clear()
if self.data is None:
return
desc = list(self.featuremodel)
desc = self._validate_descriptors(desc)
try:
new_variables = construct_variables(desc, self.data)
# user's expression can contain arbitrary errors
except Exception as err: # pylint: disable=broad-except
report_error(err)
return
attrs = [var for var in new_variables if var.is_primitive()]
metas = [var for var in new_variables if not var.is_primitive()]
new_domain = Orange.data.Domain(
self.data.domain.attributes + tuple(attrs),
self.data.domain.class_vars,
metas=self.data.domain.metas + tuple(metas))
try:
for variable in new_variables:
variable.compute_value.mask_exceptions = False
data = self.data.transform(new_domain)
# user's expression can contain arbitrary errors
# pylint: disable=broad-except
except Exception as err:
report_error(err)
return
finally:
for variable in new_variables:
variable.compute_value.mask_exceptions = True
disc_attrs_not_ok = self.check_attrs_values(
[var for var in attrs if var.is_discrete], data)
if disc_attrs_not_ok:
self.Error.more_values_needed(disc_attrs_not_ok)
return
self.info.set_output_summary(len(data), format_summary_details(data))
self.Outputs.data.send(data)
def send_report(self):
items = OrderedDict()
for feature in self.featuremodel:
if isinstance(feature, DiscreteDescriptor):
items[
feature.name] = "{} (categorical with values {}{})".format(
feature.expression, feature.values,
"; ordered" * feature.ordered)
elif isinstance(feature, ContinuousDescriptor):
items[feature.name] = "{} (numeric)".format(feature.expression)
elif isinstance(feature, DateTimeDescriptor):
items[feature.name] = "{} (date/time)".format(
feature.expression)
else:
items[feature.name] = "{} (text)".format(feature.expression)
self.report_items(report.plural("Constructed feature{s}", len(items)),
items)
