def _on_view_context_menu(self, pos):
widget = self.scene.widget
if widget is None:
return
assert isinstance(widget, HeatmapGridWidget)
menu = QMenu(self.view.viewport())
menu.setAttribute(Qt.WA_DeleteOnClose)
menu.addActions(self.view.actions())
menu.addSeparator()
menu.addActions([self.__font_inc, self.__font_dec])
menu.addSeparator()
a = QAction("Keep aspect ratio", menu, checkable=True)
a.setChecked(self.keep_aspect)
def ontoggled(state):
self.keep_aspect = state
self.__aspect_mode_changed()
a.toggled.connect(ontoggled)
menu.addAction(a)
menu.popup(self.view.viewport().mapToGlobal(pos))
class SplitterResizer(QObject):
"""
An object able to control the size of a widget in a QSplitter instance.
"""
def __init__(self, parent=None, **kwargs):
# type: (Optional[QObject], Any) -> None
super().__init__(parent, **kwargs)
self.__splitter = None # type: Optional[QSplitter]
self.__widget = None # type: Optional[QWidget]
self.__updateOnShow = True # Need __update on next show event
self.__animationEnabled = True
self.__size = -1
self.__expanded = False
self.__animation = QPropertyAnimation(
self, b"size_", self, duration=200
)
self.__action = QAction("toggle-expanded", self, checkable=True)
self.__action.triggered[bool].connect(self.setExpanded)
def setSize(self, size):
# type: (int) -> None
"""
Set the size of the controlled widget (either width or height
depending on the orientation).
.. note::
The controlled widget's size is only updated when it it is shown.
"""
if self.__size != size:
self.__size = size
self.__update()
def size(self):
# type: () -> int
"""
Return the size of the widget in the splitter (either height of
width) depending on the splitter orientation.
"""
if self.__splitter and self.__widget:
index = self.__splitter.indexOf(self.__widget)
sizes = self.__splitter.sizes()
return sizes[index]
else:
return -1
size_ = Property(int, fget=size, fset=setSize)
def setAnimationEnabled(self, enable):
# type: (bool) -> None
"""Enable/disable animation."""
self.__animation.setDuration(0 if enable else 200)
def animationEnabled(self):
# type: () -> bool
return self.__animation.duration() == 0
def setSplitterAndWidget(self, splitter, widget):
# type: (QSplitter, QWidget) -> None
"""Set the QSplitter and QWidget instance the resizer should control.
.. note:: the widget must be in the splitter.
"""
if splitter and widget and not splitter.indexOf(widget) > 0:
raise ValueError("Widget must be in a splitter.")
if self.__widget is not None:
self.__widget.removeEventFilter(self)
if self.__splitter is not None:
self.__splitter.removeEventFilter(self)
self.__splitter = splitter
self.__widget = widget
if widget is not None:
widget.installEventFilter(self)
if splitter is not None:
splitter.installEventFilter(self)
self.__update()
size = self.size()
if self.__expanded and size == 0:
self.open()
elif not self.__expanded and size > 0:
self.close()
def toggleExpandedAction(self):
# type: () -> QAction
"""Return a QAction that can be used to toggle expanded state.
"""
return self.__action
def toogleExpandedAction(self):
warnings.warn(
"'toogleExpandedAction is deprecated, use 'toggleExpandedAction' "
"instead.", DeprecationWarning, stacklevel=2
)
return self.toggleExpandedAction()
def open(self):
# type: () -> None
"""Open the controlled widget (expand it to sizeHint).
"""
self.__expanded = True
self.__action.setChecked(True)
if self.__splitter is None or self.__widget is None:
return
hint = self.__widget.sizeHint()
if self.__splitter.orientation() == Qt.Vertical:
end = hint.height()
else:
end = hint.width()
self.__animation.setStartValue(0)
self.__animation.setEndValue(end)
self.__animation.start()
def close(self):
# type: () -> None
"""Close the controlled widget (shrink to size 0).
"""
self.__expanded = False
self.__action.setChecked(False)
if self.__splitter is None or self.__widget is None:
return
self.__animation.setStartValue(self.size())
self.__animation.setEndValue(0)
self.__animation.start()
def setExpanded(self, expanded):
# type: (bool) -> None
"""Set the expanded state."""
if self.__expanded != expanded:
if expanded:
self.open()
else:
self.close()
def expanded(self):
# type: () -> bool
"""Return the expanded state."""
return self.__expanded
def __update(self):
# type: () -> None
"""Update the splitter sizes."""
if self.__splitter and self.__widget:
if sum(self.__splitter.sizes()) == 0:
# schedule update on next show event
self.__updateOnShow = True
return
splitter = self.__splitter
index = splitter.indexOf(self.__widget)
sizes = splitter.sizes()
current = sizes[index]
diff = current - self.__size
sizes[index] = self.__size
sizes[index - 1] = sizes[index - 1] + diff
self.__splitter.setSizes(sizes)
def eventFilter(self, obj, event):
# type: (QObject, QEvent) -> bool
if event.type() == QEvent.Resize and obj is self.__widget and \
self.__animation.state() == QPropertyAnimation.Stopped:
# Update the expanded state when the user opens/closes the widget
# by dragging the splitter handle.
assert self.__splitter is not None
assert isinstance(event, QResizeEvent)
if self.__splitter.orientation() == Qt.Vertical:
size = event.size().height()
else:
size = event.size().width()
if self.__expanded and size == 0:
self.__action.setChecked(False)
self.__expanded = False
elif not self.__expanded and size > 0:
self.__action.setChecked(True)
self.__expanded = True
if event.type() == QEvent.Show and obj is self.__splitter and \
self.__updateOnShow:
# Update the splitter state after receiving valid geometry
self.__updateOnShow = False
self.__update()
return super().eventFilter(obj, event)
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 SplitterResizer(QObject):
"""
An object able to control the size of a widget in a QSplitter instance.
"""
def __init__(self, parent=None):
super().__init__(parent)
self.__splitter = None
self.__widget = None
self.__updateOnShow = True # Need __update on next show event
self.__animationEnabled = True
self.__size = -1
self.__expanded = False
self.__animation = QPropertyAnimation(
self, b"size_", self, duration=200
)
self.__action = QAction("toogle-expanded", self, checkable=True)
self.__action.triggered[bool].connect(self.setExpanded)
def setSize(self, size):
"""Set the size of the controlled widget (either width or height
depending on the orientation).
.. note::
The controlled widget's size is only updated when it it is shown.
"""
if self.__size != size:
self.__size = size
self.__update()
def size(self):
"""Return the size of the widget in the splitter (either height of
width) depending on the splitter orientation.
"""
if self.__splitter and self.__widget:
index = self.__splitter.indexOf(self.__widget)
sizes = self.__splitter.sizes()
return sizes[index]
else:
return -1
size_ = Property(int, fget=size, fset=setSize)
def setAnimationEnabled(self, enable):
"""Enable/disable animation.
"""
self.__animation.setDuration(0 if enable else 200)
def animationEnabled(self):
return self.__animation.duration() == 0
def setSplitterAndWidget(self, splitter, widget):
"""Set the QSplitter and QWidget instance the resizer should control.
.. note:: the widget must be in the splitter.
"""
if splitter and widget and not splitter.indexOf(widget) > 0:
raise ValueError("Widget must be in a spliter.")
if self.__widget is not None:
self.__widget.removeEventFilter(self)
if self.__splitter is not None:
self.__splitter.removeEventFilter(self)
self.__splitter = splitter
self.__widget = widget
if widget is not None:
widget.installEventFilter(self)
if splitter is not None:
splitter.installEventFilter(self)
self.__update()
size = self.size()
if self.__expanded and size == 0:
self.open()
elif not self.__expanded and size > 0:
self.close()
def toogleExpandedAction(self):
"""Return a QAction that can be used to toggle expanded state.
"""
return self.__action
def open(self):
"""Open the controlled widget (expand it to sizeHint).
"""
self.__expanded = True
self.__action.setChecked(True)
if self.__splitter is None or self.__widget is None:
return
hint = self.__widget.sizeHint()
if self.__splitter.orientation() == Qt.Vertical:
end = hint.height()
else:
end = hint.width()
self.__animation.setStartValue(0)
self.__animation.setEndValue(end)
self.__animation.start()
def close(self):
"""Close the controlled widget (shrink to size 0).
"""
self.__expanded = False
self.__action.setChecked(False)
if self.__splitter is None or self.__widget is None:
return
self.__animation.setStartValue(self.size())
self.__animation.setEndValue(0)
self.__animation.start()
def setExpanded(self, expanded):
"""Set the expanded state.
"""
if self.__expanded != expanded:
if expanded:
self.open()
else:
self.close()
def expanded(self):
"""Return the expanded state.
"""
return self.__expanded
def __update(self):
"""Update the splitter sizes.
"""
if self.__splitter and self.__widget:
if sum(self.__splitter.sizes()) == 0:
# schedule update on next show event
self.__updateOnShow = True
return
splitter = self.__splitter
index = splitter.indexOf(self.__widget)
sizes = splitter.sizes()
current = sizes[index]
diff = current - self.__size
sizes[index] = self.__size
sizes[index - 1] = sizes[index - 1] + diff
self.__splitter.setSizes(sizes)
def eventFilter(self, obj, event):
if event.type() == QEvent.Resize and obj is self.__widget and \
self.__animation.state() == QPropertyAnimation.Stopped:
# Update the expanded state when the user opens/closes the widget
# by dragging the splitter handle.
if self.__splitter.orientation() == Qt.Vertical:
size = event.size().height()
else:
size = event.size().width()
if self.__expanded and size == 0:
self.__action.setChecked(False)
self.__expanded = False
elif not self.__expanded and size > 0:
self.__action.setChecked(True)
self.__expanded = True
if event.type() == QEvent.Show and obj is self.__splitter and \
self.__updateOnShow:
# Update the splitter state after receiving valid geometry
self.__updateOnShow = False
self.__update()
return super().eventFilter(obj, event)
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