Beispiel #1
0
    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None

        self.labels = ["C1", "C2"]

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels,
            self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled | Qt.ItemIsEditable)

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        if self.data is None:
            self.data = np.zeros((0, 3))
        self.colors = colorpalette.ColorPaletteGenerator(
            len(colorpalette.DefaultRGBColors))
        self.tools_cache = {}

        self._init_ui()
        self.commit()
Beispiel #2
0
    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None

        self.labels = ["C1", "C2"]

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels, self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled |
                  Qt.ItemIsEditable)

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        if self.data is None:
            self.data = np.zeros((0, 3))
        self.colors = colorpalette.ColorPaletteGenerator(
            len(colorpalette.DefaultRGBColors))
        self.tools_cache = {}

        self._init_ui()
        self.commit()
Beispiel #3
0
    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_colors = None
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None
        #: A private data buffer (can be modified in place). `self.data` is
        #: a copy of this array (as seen when the `invalidate` method is
        #: called
        self.__buffer = None

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels,
            self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled | Qt.ItemIsEditable)

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        # if self.data: raises Deprecation warning in older workflows, where
        # data could be a np.array. This would raise an error in the future.
        if self.data is None or len(self.data) == 0:
            self.data = []
            self.__buffer = np.zeros((0, 3))
        elif isinstance(self.data, np.ndarray):
            self.__buffer = self.data.copy()
            self.data = self.data.tolist()
        else:
            self.__buffer = np.array(self.data)

        self.colors = colorpalettes.DefaultRGBColors
        self.tools_cache = {}

        self._init_ui()
        self.commit()
Beispiel #4
0
    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_colors = None
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None
        #: A private data buffer (can be modified in place). `self.data` is
        #: a copy of this array (as seen when the `invalidate` method is
        #: called
        self.__buffer = None

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels,
            self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled | Qt.ItemIsEditable,
        )

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        if not self.data:
            self.data = []
            self.__buffer = np.zeros((0, 3))
        elif isinstance(self.data, np.ndarray):
            self.__buffer = self.data.copy()
            self.data = self.data.tolist()
        else:
            self.__buffer = np.array(self.data)

        self.colors = colorpalette.ColorPaletteGenerator(
            len(colorpalette.DefaultRGBColors))
        self.tools_cache = {}

        self._init_ui()
        self.commit()
Beispiel #5
0
    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_colors = None
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None
        #: A private data buffer (can be modified in place). `self.data` is
        #: a copy of this array (as seen when the `invalidate` method is
        #: called
        self.__buffer = None

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels, self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled |
            Qt.ItemIsEditable)

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        if not self.data:
            self.data = []
            self.__buffer = np.zeros((0, 3))
        elif isinstance(self.data, np.ndarray):
            self.__buffer = self.data.copy()
            self.data = self.data.tolist()
        else:
            self.__buffer = np.array(self.data)

        self.colors = colorpalette.ColorPaletteGenerator(
            len(colorpalette.DefaultRGBColors))
        self.tools_cache = {}

        self._init_ui()
        self.commit()
Beispiel #6
0
class OWPaintData(OWWidget):
    TOOLS = [("Brush", "Create multiple instances", AirBrushTool,
              _icon("brush.svg")),
             ("Put", "Put individual instances", PutInstanceTool,
              _icon("put.svg")),
             ("Select", "Select and move instances", SelectTool,
              _icon("select-transparent_42px.png")),
             ("Jitter", "Jitter instances", JitterTool, _icon("jitter.svg")),
             ("Magnet", "Attract multiple instances", MagnetTool,
              _icon("magnet.svg")),
             ("Clear", "Clear the plot", ClearTool,
              _icon("../../../icons/Dlg_clear.png"))]

    name = "Paint Data"
    description = "Create data by painting data points on a plane."
    icon = "icons/PaintData.svg"
    priority = 60
    keywords = ["create", "draw"]

    class Inputs:
        data = Input("Data", Table)

    class Outputs:
        data = Output("Data", Table)

    autocommit = Setting(True)
    table_name = Setting("Painted data")
    attr1 = Setting("x")
    attr2 = Setting("y")
    hasAttr2 = Setting(True)

    brushRadius = Setting(75)
    density = Setting(7)
    symbol_size = Setting(10)

    #: current data array (shape=(N, 3)) as presented on the output
    data = Setting(None, schema_only=True)
    labels = Setting(["C1", "C2"], schema_only=True)

    buttons_area_orientation = Qt.Vertical
    graph_name = "plot"

    class Warning(OWWidget.Warning):
        no_input_variables = Msg("Input data has no variables")
        continuous_target = Msg("Numeric target value can not be used.")
        sparse_not_supported = Msg("Sparse data is ignored.")
        renamed_vars = Msg("Some variables have been renamed "
                           "to avoid duplicates.\n{}")

    class Information(OWWidget.Information):
        use_first_two = \
            Msg("Paint Data uses data from the first two attributes.")

    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_colors = None
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None
        #: A private data buffer (can be modified in place). `self.data` is
        #: a copy of this array (as seen when the `invalidate` method is
        #: called
        self.__buffer = None

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels,
            self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled | Qt.ItemIsEditable)

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        # if self.data: raises Deprecation warning in older workflows, where
        # data could be a np.array. This would raise an error in the future.
        if self.data is None or len(self.data) == 0:
            self.data = []
            self.__buffer = np.zeros((0, 3))
        elif isinstance(self.data, np.ndarray):
            self.__buffer = self.data.copy()
            self.data = self.data.tolist()
        else:
            self.__buffer = np.array(self.data)

        self.colors = colorpalettes.DefaultRGBColors
        self.tools_cache = {}

        self._init_ui()
        self.commit()

    def _init_ui(self):
        namesBox = gui.vBox(self.controlArea, "Names")

        hbox = gui.hBox(namesBox, margin=0, spacing=0)
        gui.lineEdit(hbox,
                     self,
                     "attr1",
                     "Variable X: ",
                     controlWidth=80,
                     orientation=Qt.Horizontal,
                     callback=self._attr_name_changed)
        gui.separator(hbox, 21)
        hbox = gui.hBox(namesBox, margin=0, spacing=0)
        attr2 = gui.lineEdit(hbox,
                             self,
                             "attr2",
                             "Variable Y: ",
                             controlWidth=80,
                             orientation=Qt.Horizontal,
                             callback=self._attr_name_changed)
        gui.separator(hbox)
        gui.checkBox(hbox,
                     self,
                     "hasAttr2",
                     '',
                     disables=attr2,
                     labelWidth=0,
                     callback=self.set_dimensions)

        gui.widgetLabel(namesBox, "Labels")
        self.classValuesView = listView = gui.ListViewWithSizeHint(
            preferred_size=(-1, 30))
        listView.setModel(self.class_model)
        itemmodels.select_row(listView, 0)
        namesBox.layout().addWidget(listView)

        self.addClassLabel = QAction("+",
                                     self,
                                     toolTip="Add new class label",
                                     triggered=self.add_new_class_label)

        self.removeClassLabel = QAction(
            unicodedata.lookup("MINUS SIGN"),
            self,
            toolTip="Remove selected class label",
            triggered=self.remove_selected_class_label)

        actionsWidget = itemmodels.ModelActionsWidget(
            [self.addClassLabel, self.removeClassLabel], self)
        actionsWidget.layout().addStretch(10)
        actionsWidget.layout().setSpacing(1)
        namesBox.layout().addWidget(actionsWidget)

        tBox = gui.vBox(self.buttonsArea, "Tools")
        toolsBox = gui.widgetBox(tBox, orientation=QGridLayout())

        self.toolActions = QActionGroup(self)
        self.toolActions.setExclusive(True)
        self.toolButtons = []

        for i, (name, tooltip, tool, icon) in enumerate(self.TOOLS):
            action = QAction(
                name,
                self,
                toolTip=tooltip,
                checkable=tool.checkable,
                icon=QIcon(icon),
            )
            action.triggered.connect(partial(self.set_current_tool, tool))

            button = QToolButton(iconSize=QSize(24, 24),
                                 toolButtonStyle=Qt.ToolButtonTextUnderIcon,
                                 sizePolicy=QSizePolicy(
                                     QSizePolicy.MinimumExpanding,
                                     QSizePolicy.Fixed))
            button.setDefaultAction(action)
            self.toolButtons.append((button, tool))

            toolsBox.layout().addWidget(button, i / 3, i % 3)
            self.toolActions.addAction(action)

        for column in range(3):
            toolsBox.layout().setColumnMinimumWidth(column, 10)
            toolsBox.layout().setColumnStretch(column, 1)

        undo = self.undo_stack.createUndoAction(self)
        redo = self.undo_stack.createRedoAction(self)

        undo.setShortcut(QKeySequence.Undo)
        redo.setShortcut(QKeySequence.Redo)

        self.addActions([undo, redo])
        self.undo_stack.indexChanged.connect(self.invalidate)

        indBox = gui.indentedBox(tBox, sep=8)
        form = QFormLayout(formAlignment=Qt.AlignLeft,
                           labelAlignment=Qt.AlignLeft,
                           fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow)
        indBox.layout().addLayout(form)
        slider = gui.hSlider(indBox,
                             self,
                             "brushRadius",
                             minValue=1,
                             maxValue=100,
                             createLabel=False,
                             addToLayout=False)
        form.addRow("Radius:", slider)

        slider = gui.hSlider(indBox,
                             self,
                             "density",
                             None,
                             minValue=1,
                             maxValue=100,
                             createLabel=False,
                             addToLayout=False)

        form.addRow("Intensity:", slider)

        slider = gui.hSlider(indBox,
                             self,
                             "symbol_size",
                             None,
                             minValue=1,
                             maxValue=100,
                             createLabel=False,
                             callback=self.set_symbol_size,
                             addToLayout=False)

        form.addRow("Symbol:", slider)

        self.btResetToInput = gui.button(tBox, self, "Reset to Input Data",
                                         self.reset_to_input)
        self.btResetToInput.setDisabled(True)

        gui.auto_send(self.buttonsArea, self, "autocommit")

        # main area GUI
        viewbox = PaintViewBox(enableMouse=False)
        self.plotview = pg.PlotWidget(background="w", viewBox=viewbox)
        self.plotview.sizeHint = lambda: QSize(
            200, 100)  # Minimum size for 1-d painting
        self.plot = self.plotview.getPlotItem()

        axis_color = self.palette().color(QPalette.Text)
        axis_pen = QPen(axis_color)

        tickfont = QFont(self.font())
        tickfont.setPixelSize(max(int(tickfont.pixelSize() * 2 // 3), 11))

        axis = self.plot.getAxis("bottom")
        axis.setLabel(self.attr1)
        axis.setPen(axis_pen)
        axis.setTickFont(tickfont)

        axis = self.plot.getAxis("left")
        axis.setLabel(self.attr2)
        axis.setPen(axis_pen)
        axis.setTickFont(tickfont)
        if not self.hasAttr2:
            self.plot.hideAxis('left')

        self.plot.hideButtons()
        self.plot.setXRange(0, 1, padding=0.01)

        self.mainArea.layout().addWidget(self.plotview)

        # enable brush tool
        self.toolActions.actions()[0].setChecked(True)
        self.set_current_tool(self.TOOLS[0][2])

        self.set_dimensions()

    def set_symbol_size(self):
        if self._scatter_item:
            self._scatter_item.setSize(self.symbol_size)

    def set_dimensions(self):
        if self.hasAttr2:
            self.plot.setYRange(0, 1, padding=0.01)
            self.plot.showAxis('left')
            self.plotview.setSizePolicy(QSizePolicy.Expanding,
                                        QSizePolicy.Minimum)
        else:
            self.plot.setYRange(-.5, .5, padding=0.01)
            self.plot.hideAxis('left')
            self.plotview.setSizePolicy(QSizePolicy.Expanding,
                                        QSizePolicy.Maximum)
        self._replot()
        for button, tool in self.toolButtons:
            if tool.only2d:
                button.setDisabled(not self.hasAttr2)

    @Inputs.data
    def set_data(self, data):
        """Set the input_data and call reset_to_input"""
        def _check_and_set_data(data):
            self.clear_messages()
            if data and data.is_sparse():
                self.Warning.sparse_not_supported()
                return False
            if data:
                if not data.domain.attributes:
                    self.Warning.no_input_variables()
                    data = None
                elif len(data.domain.attributes) > 2:
                    self.Information.use_first_two()
            self.input_data = data
            self.btResetToInput.setDisabled(data is None)
            return bool(data)

        if not _check_and_set_data(data):
            return

        X = np.array([scale(vals) for vals in data.X[:, :2].T]).T
        try:
            y = next(cls for cls in data.domain.class_vars if cls.is_discrete)
        except StopIteration:
            if data.domain.class_vars:
                self.Warning.continuous_target()
            self.input_classes = ["C1"]
            self.input_colors = None
            y = np.zeros(len(data))
        else:
            self.input_classes = y.values
            self.input_colors = y.palette

            y = data[:, y].Y

        self.input_has_attr2 = len(data.domain.attributes) >= 2
        if not self.input_has_attr2:
            self.input_data = np.column_stack((X, np.zeros(len(data)), y))
        else:
            self.input_data = np.column_stack((X, y))
        self.reset_to_input()
        self.unconditional_commit()

    def reset_to_input(self):
        """Reset the painting to input data if present."""
        if self.input_data is None:
            return
        self.undo_stack.clear()

        index = self.selected_class_label()
        if self.input_colors is not None:
            palette = self.input_colors
        else:
            palette = colorpalettes.DefaultRGBColors
        self.colors = palette
        self.class_model.colors = palette
        self.class_model[:] = self.input_classes

        newindex = min(max(index, 0), len(self.class_model) - 1)
        itemmodels.select_row(self.classValuesView, newindex)

        self.data = self.input_data.tolist()
        self.__buffer = self.input_data.copy()

        prev_attr2 = self.hasAttr2
        self.hasAttr2 = self.input_has_attr2
        if prev_attr2 != self.hasAttr2:
            self.set_dimensions()
        else:  # set_dimensions already calls _replot, no need to call it again
            self._replot()

        self.commit()

    def add_new_class_label(self, undoable=True):

        newlabel = next(label for label in namegen('C', 1)
                        if label not in self.class_model)

        command = SimpleUndoCommand(lambda: self.class_model.append(newlabel),
                                    lambda: self.class_model.__delitem__(-1))
        if undoable:
            self.undo_stack.push(command)
        else:
            command.redo()

    def remove_selected_class_label(self):
        index = self.selected_class_label()

        if index is None:
            return

        label = self.class_model[index]
        mask = self.__buffer[:, 2] == index
        move_mask = self.__buffer[~mask][:, 2] > index

        self.undo_stack.beginMacro("Delete class label")
        self.undo_stack.push(UndoCommand(DeleteIndices(mask), self))
        self.undo_stack.push(UndoCommand(Move((move_mask, 2), -1), self))
        self.undo_stack.push(
            SimpleUndoCommand(lambda: self.class_model.__delitem__(index),
                              lambda: self.class_model.insert(index, label)))
        self.undo_stack.endMacro()

        newindex = min(max(index - 1, 0), len(self.class_model) - 1)
        itemmodels.select_row(self.classValuesView, newindex)

    def _class_count_changed(self):
        self.labels = list(self.class_model)
        self.removeClassLabel.setEnabled(len(self.class_model) > 1)
        self.addClassLabel.setEnabled(len(self.class_model) < len(self.colors))
        if self.selected_class_label() is None:
            itemmodels.select_row(self.classValuesView, 0)

    def _class_value_changed(self, index, _):
        index = index.row()
        newvalue = self.class_model[index]
        oldvalue = self.labels[index]
        if newvalue != oldvalue:
            self.labels[index] = newvalue


#             command = Command(
#                 lambda: self.class_model.__setitem__(index, newvalue),
#                 lambda: self.class_model.__setitem__(index, oldvalue),
#             )
#             self.undo_stack.push(command)

    def selected_class_label(self):
        rows = self.classValuesView.selectedIndexes()
        if rows:
            return rows[0].row()
        return None

    def set_current_tool(self, tool):
        prev_tool = self.current_tool.__class__

        if self.current_tool is not None:
            self.current_tool.deactivate()
            self.current_tool.editingStarted.disconnect(
                self._on_editing_started)
            self.current_tool.editingFinished.disconnect(
                self._on_editing_finished)
            self.current_tool = None
            self.plot.getViewBox().tool = None

        if tool not in self.tools_cache:
            newtool = tool(self, self.plot)
            self.tools_cache[tool] = newtool
            newtool.issueCommand.connect(self._add_command)

        self.current_tool = tool = self.tools_cache[tool]
        self.plot.getViewBox().tool = tool
        tool.editingStarted.connect(self._on_editing_started)
        tool.editingFinished.connect(self._on_editing_finished)
        tool.activate()

        if not tool.checkable:
            self.set_current_tool(prev_tool)

    def _on_editing_started(self):
        self.undo_stack.beginMacro("macro")

    def _on_editing_finished(self):
        self.undo_stack.endMacro()

    def execute(self, command):
        assert isinstance(command, (Append, DeleteIndices, Insert, Move)), \
            "Non normalized command"
        if isinstance(command, (DeleteIndices, Insert)):
            self._selected_indices = None

            if isinstance(self.current_tool, SelectTool):
                self.current_tool.reset()

        self.__buffer, undo = transform(command, self.__buffer)
        self._replot()
        return undo

    def _add_command(self, cmd):
        # pylint: disable=too-many-branches
        name = "Name"

        if (not self.hasAttr2
                and isinstance(cmd, (Move, MoveSelection, Jitter, Magnet))):
            # tool only supported if both x and y are enabled
            return

        if isinstance(cmd, Append):
            cls = self.selected_class_label()
            points = np.array([(p.x(), p.y() if self.hasAttr2 else 0, cls)
                               for p in cmd.points])
            self.undo_stack.push(UndoCommand(Append(points), self, text=name))
        elif isinstance(cmd, Move):
            self.undo_stack.push(UndoCommand(cmd, self, text=name))
        elif isinstance(cmd, SelectRegion):
            indices = [
                i for i, (x, y) in enumerate(self.__buffer[:, :2])
                if cmd.region.contains(QPointF(x, y))
            ]
            indices = np.array(indices, dtype=int)
            self._selected_indices = indices
        elif isinstance(cmd, DeleteSelection):
            indices = self._selected_indices
            if indices is not None and indices.size:
                self.undo_stack.push(
                    UndoCommand(DeleteIndices(indices), self, text="Delete"))
        elif isinstance(cmd, MoveSelection):
            indices = self._selected_indices
            if indices is not None and indices.size:
                self.undo_stack.push(
                    UndoCommand(Move((self._selected_indices, slice(0, 2)),
                                     np.array([cmd.delta.x(),
                                               cmd.delta.y()])),
                                self,
                                text="Move"))
        elif isinstance(cmd, DeleteIndices):
            self.undo_stack.push(UndoCommand(cmd, self, text="Delete"))
        elif isinstance(cmd, Insert):
            self.undo_stack.push(UndoCommand(cmd, self))
        elif isinstance(cmd, AirBrush):
            data = create_data(cmd.pos.x(), cmd.pos.y(),
                               self.brushRadius / 1000,
                               int(1 + self.density / 20), cmd.rstate)
            self._add_command(Append([QPointF(*p) for p in zip(*data.T)]))
        elif isinstance(cmd, Jitter):
            point = np.array([cmd.pos.x(), cmd.pos.y()])
            delta = -apply_jitter(self.__buffer[:, :2], point,
                                  self.density / 100.0, 0, cmd.rstate)
            self._add_command(Move((..., slice(0, 2)), delta))
        elif isinstance(cmd, Magnet):
            point = np.array([cmd.pos.x(), cmd.pos.y()])
            delta = -apply_attractor(self.__buffer[:, :2], point,
                                     self.density / 100.0, 0)
            self._add_command(Move((..., slice(0, 2)), delta))
        else:
            assert False, "unreachable"

    def _replot(self):
        def pen(color):
            pen = QPen(color, 1)
            pen.setCosmetic(True)
            return pen

        if self._scatter_item is not None:
            self.plot.removeItem(self._scatter_item)
            self._scatter_item = None

        x = self.__buffer[:, 0].copy()
        if self.hasAttr2:
            y = self.__buffer[:, 1].copy()
        else:
            y = np.zeros(self.__buffer.shape[0])

        colors = self.colors[self.__buffer[:, 2]]
        pens = [pen(c) for c in colors]
        brushes = [QBrush(c) for c in colors]

        self._scatter_item = pg.ScatterPlotItem(x,
                                                y,
                                                symbol="+",
                                                brush=brushes,
                                                pen=pens)
        self.plot.addItem(self._scatter_item)
        self.set_symbol_size()

    def _attr_name_changed(self):
        self.plot.getAxis("bottom").setLabel(self.attr1)
        self.plot.getAxis("left").setLabel(self.attr2)
        self.invalidate()

    def invalidate(self):
        self.data = self.__buffer.tolist()
        self.commit()

    def commit(self):
        self.Warning.renamed_vars.clear()

        if not self.data:
            self.Outputs.data.send(None)
            return
        data = np.array(self.data)
        if self.hasAttr2:
            X, Y = data[:, :2], data[:, 2]
            proposed = [self.attr1.strip(), self.attr2.strip()]
        else:
            X, Y = data[:, np.newaxis, 0], data[:, 2]
            proposed = [self.attr1.strip()]

        if len(np.unique(Y)) >= 2:
            proposed.append("Class")
            unique_names, renamed = get_unique_names_duplicates(proposed, True)
            domain = Domain((map(ContinuousVariable, unique_names[:-1])),
                            DiscreteVariable(unique_names[-1],
                                             values=tuple(self.class_model)))
            data = Table.from_numpy(domain, X, Y)
        else:
            unique_names, renamed = get_unique_names_duplicates(proposed, True)
            domain = Domain(map(ContinuousVariable, unique_names))
            data = Table.from_numpy(domain, X)

        if renamed:
            self.Warning.renamed_vars(", ".join(renamed))
            self.plot.getAxis("bottom").setLabel(unique_names[0])
            self.plot.getAxis("left").setLabel(unique_names[1])

        data.name = self.table_name
        self.Outputs.data.send(data)

    def sizeHint(self):
        sh = super().sizeHint()
        return sh.expandedTo(QSize(570, 690))

    def onDeleteWidget(self):
        self.undo_stack.indexChanged.disconnect(self.invalidate)
        self.plot.clear()

    def send_report(self):
        if self.data is None:
            return
        settings = []
        if self.attr1 != "x" or self.attr2 != "y":
            settings += [("Axis x", self.attr1), ("Axis y", self.attr2)]
        settings += [("Number of points", len(self.data))]
        self.report_items("Painted data", settings)
        self.report_plot()
Beispiel #7
0
class OWPaintData(OWWidget):
    TOOLS = [
        ("Brush", "Create multiple instances", AirBrushTool, _i("brush.svg")),
        ("Put", "Put individual instances", PutInstanceTool, _i("put.svg")),
        ("Select", "Select and move instances", SelectTool,
            _i("select-transparent_42px.png")),
        ("Jitter", "Jitter instances", JitterTool, _i("jitter.svg")),
        ("Magnet", "Attract multiple instances", MagnetTool, _i("magnet.svg")),
        ("Clear", "Clear the plot", ClearTool, _i("../../../icons/Dlg_clear.png"))
    ]

    name = "Paint Data"
    description = "Create data by painting data points on a plane."
    icon = "icons/PaintData.svg"
    priority = 15
    keywords = ["data", "paint", "create"]

    outputs = [("Data", Orange.data.Table)]
    inputs = [("Data", Orange.data.Table, "set_data")]

    autocommit = Setting(False)
    table_name = Setting("Painted data")
    attr1 = Setting("x")
    attr2 = Setting("y")
    hasAttr2 = Setting(True)

    brushRadius = Setting(75)
    density = Setting(7)

    data = Setting(None, schema_only=True)

    graph_name = "plot"

    class Warning(OWWidget.Warning):
        no_input_variables = Msg("Input data has no variables")
        continuous_target = Msg("Continuous target value can not be used.")

    class Information(OWWidget.Information):
        use_first_two = \
            Msg("Paint Data uses data from the first two attributes.")

    def __init__(self):
        super().__init__()

        self.input_data = None
        self.input_classes = []
        self.input_has_attr2 = True
        self.current_tool = None
        self._selected_indices = None
        self._scatter_item = None

        self.labels = ["C1", "C2"]

        self.undo_stack = QUndoStack(self)

        self.class_model = ColoredListModel(
            self.labels, self,
            flags=Qt.ItemIsSelectable | Qt.ItemIsEnabled |
                  Qt.ItemIsEditable)

        self.class_model.dataChanged.connect(self._class_value_changed)
        self.class_model.rowsInserted.connect(self._class_count_changed)
        self.class_model.rowsRemoved.connect(self._class_count_changed)

        if self.data is None:
            self.data = np.zeros((0, 3))
        self.colors = colorpalette.ColorPaletteGenerator(
            len(colorpalette.DefaultRGBColors))
        self.tools_cache = {}

        self._init_ui()
        self.commit()

    def _init_ui(self):
        namesBox = gui.vBox(self.controlArea, "Names")

        hbox = gui.hBox(namesBox, margin=0, spacing=0)
        gui.lineEdit(hbox, self, "attr1", "Variable X: ",
                     controlWidth=80, orientation=Qt.Horizontal,
                     callback=self._attr_name_changed)
        gui.separator(hbox, 21)
        hbox = gui.hBox(namesBox, margin=0, spacing=0)
        attr2 = gui.lineEdit(hbox, self, "attr2", "Variable Y: ",
                             controlWidth=80, orientation=Qt.Horizontal,
                             callback=self._attr_name_changed)
        gui.separator(hbox)
        gui.checkBox(hbox, self, "hasAttr2", '', disables=attr2,
                     labelWidth=0,
                     callback=self.set_dimensions)
        gui.separator(namesBox)

        gui.widgetLabel(namesBox, "Labels")
        self.classValuesView = listView = QListView(
            selectionMode=QListView.SingleSelection,
            sizePolicy=QSizePolicy(QSizePolicy.Ignored,
                                   QSizePolicy.Maximum)
        )
        listView.setModel(self.class_model)
        itemmodels.select_row(listView, 0)
        namesBox.layout().addWidget(listView)

        self.addClassLabel = QAction(
            "+", self,
            toolTip="Add new class label",
            triggered=self.add_new_class_label
        )

        self.removeClassLabel = QAction(
            unicodedata.lookup("MINUS SIGN"), self,
            toolTip="Remove selected class label",
            triggered=self.remove_selected_class_label
        )

        actionsWidget = itemmodels.ModelActionsWidget(
            [self.addClassLabel, self.removeClassLabel], self
        )
        actionsWidget.layout().addStretch(10)
        actionsWidget.layout().setSpacing(1)
        namesBox.layout().addWidget(actionsWidget)

        tBox = gui.vBox(self.controlArea, "Tools", addSpace=True)
        buttonBox = gui.hBox(tBox)
        toolsBox = gui.widgetBox(buttonBox, orientation=QGridLayout())

        self.toolActions = QActionGroup(self)
        self.toolActions.setExclusive(True)
        self.toolButtons = []

        for i, (name, tooltip, tool, icon) in enumerate(self.TOOLS):
            action = QAction(
                name, self,
                toolTip=tooltip,
                checkable=tool.checkable,
                icon=QIcon(icon),
            )
            action.triggered.connect(partial(self.set_current_tool, tool))

            button = QToolButton(
                iconSize=QSize(24, 24),
                toolButtonStyle=Qt.ToolButtonTextUnderIcon,
                sizePolicy=QSizePolicy(QSizePolicy.MinimumExpanding,
                                       QSizePolicy.Fixed)
            )
            button.setDefaultAction(action)
            self.toolButtons.append((button, tool))

            toolsBox.layout().addWidget(button, i / 3, i % 3)
            self.toolActions.addAction(action)

        for column in range(3):
            toolsBox.layout().setColumnMinimumWidth(column, 10)
            toolsBox.layout().setColumnStretch(column, 1)

        undo = self.undo_stack.createUndoAction(self)
        redo = self.undo_stack.createRedoAction(self)

        undo.setShortcut(QKeySequence.Undo)
        redo.setShortcut(QKeySequence.Redo)

        self.addActions([undo, redo])
        self.undo_stack.indexChanged.connect(lambda _: self.invalidate())

        gui.separator(tBox)
        indBox = gui.indentedBox(tBox, sep=8)
        form = QFormLayout(
            formAlignment=Qt.AlignLeft,
            labelAlignment=Qt.AlignLeft,
            fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow
        )
        indBox.layout().addLayout(form)
        slider = gui.hSlider(
            indBox, self, "brushRadius", minValue=1, maxValue=100,
            createLabel=False
        )
        form.addRow("Radius:", slider)

        slider = gui.hSlider(
            indBox, self, "density", None, minValue=1, maxValue=100,
            createLabel=False
        )

        form.addRow("Intensity:", slider)
        self.btResetToInput = gui.button(
            tBox, self, "Reset to Input Data", self.reset_to_input)
        self.btResetToInput.setDisabled(True)

        gui.rubber(self.controlArea)
        gui.auto_commit(self.left_side, self, "autocommit",
                        "Send")

        # main area GUI
        viewbox = PaintViewBox(enableMouse=False)
        self.plotview = pg.PlotWidget(background="w", viewBox=viewbox)
        self.plotview.sizeHint = lambda: QSize(200, 100)  # Minimum size for 1-d painting
        self.plot = self.plotview.getPlotItem()

        axis_color = self.palette().color(QPalette.Text)
        axis_pen = QPen(axis_color)

        tickfont = QFont(self.font())
        tickfont.setPixelSize(max(int(tickfont.pixelSize() * 2 // 3), 11))

        axis = self.plot.getAxis("bottom")
        axis.setLabel(self.attr1)
        axis.setPen(axis_pen)
        axis.setTickFont(tickfont)

        axis = self.plot.getAxis("left")
        axis.setLabel(self.attr2)
        axis.setPen(axis_pen)
        axis.setTickFont(tickfont)
        if not self.hasAttr2:
            self.plot.hideAxis('left')

        self.plot.hideButtons()
        self.plot.setXRange(0, 1, padding=0.01)

        self.mainArea.layout().addWidget(self.plotview)

        # enable brush tool
        self.toolActions.actions()[0].setChecked(True)
        self.set_current_tool(self.TOOLS[0][2])

        self.set_dimensions()

    def set_dimensions(self):
        if self.hasAttr2:
            self.plot.setYRange(0, 1, padding=0.01)
            self.plot.showAxis('left')
            self.plotview.setSizePolicy(QSizePolicy.Ignored, QSizePolicy.Minimum)
        else:
            self.plot.setYRange(-.5, .5, padding=0.01)
            self.plot.hideAxis('left')
            self.plotview.setSizePolicy(QSizePolicy.Ignored, QSizePolicy.Maximum)
        self._replot()
        for button, tool in self.toolButtons:
            if tool.only2d:
                button.setDisabled(not self.hasAttr2)

    def set_data(self, data):
        """Set the input_data and call reset_to_input"""
        def _check_and_set_data(data):
            self.clear_messages()
            if data is not None:
                if not data.domain.attributes:
                    self.Warning.no_input_variables()
                    data = None
                elif len(data.domain.attributes) > 2:
                    self.Information.use_first_two()
            self.input_data = data
            self.btResetToInput.setDisabled(data is None)
            return data is not None

        if not _check_and_set_data(data):
            return

        X = np.array([scale(vals) for vals in data.X[:, :2].T]).T
        try:
            y = next(cls for cls in data.domain.class_vars if cls.is_discrete)
        except StopIteration:
            if data.domain.class_vars:
                self.Warning.continuous_target()
            self.input_classes = ["C1"]
            y = np.zeros(len(data))
        else:
            self.input_classes = y.values
            y = data[:, y].Y

        self.input_has_attr2 = len(data.domain.attributes) >= 2
        if not self.input_has_attr2:
            self.input_data = np.column_stack((X, np.zeros(len(data)), y))
        else:
            self.input_data = np.column_stack((X, y))
        self.reset_to_input()

    def reset_to_input(self):
        """Reset the painting to input data if present."""
        if self.input_data is None:
            return
        self.undo_stack.clear()

        index = self.selected_class_label()
        self.class_model[:] = self.input_classes
        newindex = min(max(index, 0), len(self.class_model) - 1)
        itemmodels.select_row(self.classValuesView, newindex)

        self.data = self.input_data
        prev_attr2 = self.hasAttr2
        self.hasAttr2 = self.input_has_attr2
        if prev_attr2 != self.hasAttr2:
            self.set_dimensions()
        else:  # set_dimensions already calls _replot, no need to call it again
            self._replot()

    def add_new_class_label(self, undoable=True):

        newlabel = next(label for label in namegen('C', 1)
                        if label not in self.class_model)

        command = SimpleUndoCommand(
            lambda: self.class_model.append(newlabel),
            lambda: self.class_model.__delitem__(-1)
        )
        if undoable:
            self.undo_stack.push(command)
        else:
            command.redo()

    def remove_selected_class_label(self):
        index = self.selected_class_label()

        if index is None:
            return

        label = self.class_model[index]
        mask = self.data[:, 2] == index
        move_mask = self.data[~mask][:, 2] > index

        self.undo_stack.beginMacro("Delete class label")
        self.undo_stack.push(UndoCommand(DeleteIndices(mask), self))
        self.undo_stack.push(UndoCommand(Move((move_mask, 2), -1), self))
        self.undo_stack.push(
            SimpleUndoCommand(lambda: self.class_model.__delitem__(index),
                              lambda: self.class_model.insert(index, label)))
        self.undo_stack.endMacro()

        newindex = min(max(index - 1, 0), len(self.class_model) - 1)
        itemmodels.select_row(self.classValuesView, newindex)

    def _class_count_changed(self):
        self.labels = list(self.class_model)
        self.removeClassLabel.setEnabled(len(self.class_model) > 1)
        self.addClassLabel.setEnabled(
            len(self.class_model) < self.colors.number_of_colors)
        if self.selected_class_label() is None:
            itemmodels.select_row(self.classValuesView, 0)

    def _class_value_changed(self, index, _):
        index = index.row()
        newvalue = self.class_model[index]
        oldvalue = self.labels[index]
        if newvalue != oldvalue:
            self.labels[index] = newvalue
#             command = Command(
#                 lambda: self.class_model.__setitem__(index, newvalue),
#                 lambda: self.class_model.__setitem__(index, oldvalue),
#             )
#             self.undo_stack.push(command)

    def selected_class_label(self):
        rows = self.classValuesView.selectedIndexes()
        if rows:
            return rows[0].row()
        else:
            return None

    def set_current_tool(self, tool):
        prev_tool = self.current_tool.__class__

        if self.current_tool is not None:
            self.current_tool.deactivate()
            self.current_tool.editingStarted.disconnect(
                self._on_editing_started)
            self.current_tool.editingFinished.disconnect(
                self._on_editing_finished)
            self.current_tool = None
            self.plot.getViewBox().tool = None

        if tool not in self.tools_cache:
            newtool = tool(self, self.plot)
            self.tools_cache[tool] = newtool
            newtool.issueCommand.connect(self._add_command)

        self._selected_region = QRectF()
        self.current_tool = tool = self.tools_cache[tool]
        self.plot.getViewBox().tool = tool
        tool.editingStarted.connect(self._on_editing_started)
        tool.editingFinished.connect(self._on_editing_finished)
        tool.activate()

        if not tool.checkable:
            self.set_current_tool(prev_tool)

    def _on_editing_started(self):
        self.undo_stack.beginMacro("macro")

    def _on_editing_finished(self):
        self.undo_stack.endMacro()

    def execute(self, command):
        if isinstance(command, (Append, DeleteIndices, Insert, Move)):
            if isinstance(command, (DeleteIndices, Insert)):
                self._selected_indices = None

                if isinstance(self.current_tool, SelectTool):
                    self.current_tool._reset()

            self.data, undo = transform(command, self.data)
            self._replot()
            return undo
        else:
            assert False, "Non normalized command"

    def _add_command(self, cmd):
        name = "Name"

        if (not self.hasAttr2 and
            isinstance(cmd, (Move, MoveSelection, Jitter, Magnet))):
            # tool only supported if both x and y are enabled
            return

        if isinstance(cmd, Append):
            cls = self.selected_class_label()
            points = np.array([(p.x(), p.y() if self.hasAttr2 else 0, cls)
                                  for p in cmd.points])
            self.undo_stack.push(UndoCommand(Append(points), self, text=name))
        elif isinstance(cmd, Move):
            self.undo_stack.push(UndoCommand(cmd, self, text=name))
        elif isinstance(cmd, SelectRegion):
            indices = [i for i, (x, y) in enumerate(self.data[:, :2])
                       if cmd.region.contains(QPointF(x, y))]
            indices = np.array(indices, dtype=int)
            self._selected_indices = indices
        elif isinstance(cmd, DeleteSelection):
            indices = self._selected_indices
            if indices is not None and indices.size:
                self.undo_stack.push(
                    UndoCommand(DeleteIndices(indices), self, text="Delete")
                )
        elif isinstance(cmd, MoveSelection):
            indices = self._selected_indices
            if indices is not None and indices.size:
                self.undo_stack.push(
                    UndoCommand(
                        Move((self._selected_indices, slice(0, 2)),
                             np.array([cmd.delta.x(), cmd.delta.y()])),
                        self, text="Move")
                )
        elif isinstance(cmd, DeleteIndices):
            self.undo_stack.push(UndoCommand(cmd, self, text="Delete"))
        elif isinstance(cmd, Insert):
            self.undo_stack.push(UndoCommand(cmd, self))
        elif isinstance(cmd, AirBrush):
            data = create_data(cmd.pos.x(), cmd.pos.y(),
                               self.brushRadius / 1000,
                               int(1 + self.density / 20), cmd.rstate)
            self._add_command(Append([QPointF(*p) for p in zip(*data.T)]))
        elif isinstance(cmd, Jitter):
            point = np.array([cmd.pos.x(), cmd.pos.y()])
            delta = - apply_jitter(self.data[:, :2], point,
                                   self.density / 100.0, 0, cmd.rstate)
            self._add_command(Move((..., slice(0, 2)), delta))
        elif isinstance(cmd, Magnet):
            point = np.array([cmd.pos.x(), cmd.pos.y()])
            delta = - apply_attractor(self.data[:, :2], point,
                                      self.density / 100.0, 0)
            self._add_command(Move((..., slice(0, 2)), delta))
        else:
            assert False, "unreachable"

    def _replot(self):
        def pen(color):
            pen = QPen(color, 1)
            pen.setCosmetic(True)
            return pen

        if self._scatter_item is not None:
            self.plot.removeItem(self._scatter_item)
            self._scatter_item = None

        nclasses = len(self.class_model)
        pens = [pen(self.colors[i]) for i in range(nclasses)]

        self._scatter_item = pg.ScatterPlotItem(
            self.data[:, 0],
            self.data[:, 1] if self.hasAttr2 else np.zeros(self.data.shape[0]),
            symbol="+",
            pen=[pens[int(ci)] for ci in self.data[:, 2]]
        )

        self.plot.addItem(self._scatter_item)

    def _attr_name_changed(self):
        self.plot.getAxis("bottom").setLabel(self.attr1)
        self.plot.getAxis("left").setLabel(self.attr2)
        self.invalidate()

    def invalidate(self):
        self.commit()

    def commit(self):
        if len(self.data) == 0:
            self.send("Data", None)
            return
        if self.hasAttr2:
            X, Y = self.data[:, :2], self.data[:, 2]
            attrs = (Orange.data.ContinuousVariable(self.attr1),
                     Orange.data.ContinuousVariable(self.attr2))
        else:
            X, Y = self.data[:, np.newaxis, 0], self.data[:, 2]
            attrs = (Orange.data.ContinuousVariable(self.attr1),)
        if len(np.unique(Y)) >= 2:
            domain = Orange.data.Domain(
                attrs,
                Orange.data.DiscreteVariable(
                    "Class", values=list(self.class_model))
            )
            data = Orange.data.Table.from_numpy(domain, X, Y)
        else:
            domain = Orange.data.Domain(attrs)
            data = Orange.data.Table.from_numpy(domain, X)
        data.name = self.table_name
        self.send("Data", data)

    def sizeHint(self):
        sh = super().sizeHint()
        return sh.expandedTo(QSize(1200, 800))

    def onDeleteWidget(self):
        self.plot.clear()

    def send_report(self):
        if self.data is None:
            return
        settings = []
        if self.attr1 != "x" or self.attr2 != "y":
            settings += [("Axis x", self.attr1), ("Axis y", self.attr2)]
        settings += [("Number of points", len(self.data))]
        self.report_items("Painted data", settings)
        self.report_plot()