예제 #1
0
class OWScatterPlotGraph(gui.OWComponent, ScaleScatterPlotData):
    attr_color = ContextSetting("", ContextSetting.OPTIONAL)
    attr_label = ContextSetting("", ContextSetting.OPTIONAL)
    attr_shape = ContextSetting("", ContextSetting.OPTIONAL)
    attr_size = ContextSetting("", ContextSetting.OPTIONAL)

    point_width = Setting(10)
    alpha_value = Setting(255)
    show_grid = Setting(False)
    show_legend = Setting(True)
    tooltip_shows_all = Setting(False)
    square_granularity = Setting(3)
    space_between_cells = Setting(True)

    CurveSymbols = np.array("o x t + d s ?".split())
    MinShapeSize = 6
    DarkerValue = 120
    UnknownColor = (168, 50, 168)

    def __init__(self, scatter_widget, parent=None, _="None"):
        gui.OWComponent.__init__(self, scatter_widget)
        self.view_box = InteractiveViewBox(self)
        self.plot_widget = pg.PlotWidget(viewBox=self.view_box, parent=parent,
                                         background="w")
        self.plot_widget.getPlotItem().buttonsHidden = True
        self.plot_widget.setAntialiasing(True)
        self.plot_widget.sizeHint = lambda: QtCore.QSize(500,500)

        self.replot = self.plot_widget.replot
        ScaleScatterPlotData.__init__(self)
        self.scatterplot_item = None
        self.scatterplot_item_sel = None

        self.labels = []

        self.master = scatter_widget
        self.shown_attribute_indices = []
        self.shown_x = ""
        self.shown_y = ""
        self.pen_colors = self.brush_colors = None

        self.valid_data = None  # np.ndarray
        self.selection = None  # np.ndarray
        self.n_points = 0

        self.gui = OWPlotGUI(self)
        self.continuous_palette = ContinuousPaletteGenerator(
            QColor(255, 255, 0), QColor(0, 0, 255), True)
        self.discrete_palette = ColorPaletteGenerator()

        self.selection_behavior = 0

        self.legend = self.color_legend = None
        self.__legend_anchor = (1, 0), (1, 0)
        self.__color_legend_anchor = (1, 1), (1, 1)

        self.scale = None  # DiscretizedScale

        self.subset_indices = None

        # self.setMouseTracking(True)
        # self.grabGesture(QPinchGesture)
        # self.grabGesture(QPanGesture)

        self.update_grid()

        self._tooltip_delegate = HelpEventDelegate(self.help_event)
        self.plot_widget.scene().installEventFilter(self._tooltip_delegate)

    def new_data(self, data, subset_data=None, **args):
        self.plot_widget.clear()
        self.subset_indices = set(e.id for e in subset_data) if subset_data else None
        self.set_data(data, **args)

    def update_data(self, attr_x, attr_y):
        self.shown_x = attr_x
        self.shown_y = attr_y

        self.remove_legend()
        if self.scatterplot_item:
            self.plot_widget.removeItem(self.scatterplot_item)
        if self.scatterplot_item_sel:
            self.plot_widget.removeItem(self.scatterplot_item_sel)
        for label in self.labels:
            self.plot_widget.removeItem(label)
        self.labels = []
        self.set_axis_title("bottom", "")
        self.set_axis_title("left", "")

        if self.scaled_data is None or not len(self.scaled_data):
            self.valid_data = None
            self.n_points = 0
            return

        index_x = self.attribute_name_index[attr_x]
        index_y = self.attribute_name_index[attr_y]
        self.valid_data = self.get_valid_list([index_x, index_y])
        x_data, y_data = self.get_xy_data_positions(
            attr_x, attr_y, self.valid_data)
        x_data = x_data[self.valid_data]
        y_data = y_data[self.valid_data]
        self.n_points = len(x_data)

        for axis, name, index in (("bottom", attr_x, index_x),
                                  ("left", attr_y, index_y)):
            self.set_axis_title(axis, name)
            var = self.data_domain[index]
            if isinstance(var, DiscreteVariable):
                self.set_labels(axis, get_variable_values_sorted(var))
            else:
                self.set_labels(axis, None)

        color_data, brush_data = self.compute_colors()
        color_data_sel, brush_data_sel = self.compute_colors_sel()
        size_data = self.compute_sizes()
        shape_data = self.compute_symbols()
        self.scatterplot_item = ScatterPlotItem(
            x=x_data, y=y_data, data=np.arange(self.n_points),
            symbol=shape_data, size=size_data, pen=color_data, brush=brush_data
        )
        self.scatterplot_item_sel = ScatterPlotItem(
            x=x_data, y=y_data, data=np.arange(self.n_points),
            symbol=shape_data, size=size_data + SELECTION_WIDTH,
            pen=color_data_sel, brush=brush_data_sel
        )
        self.plot_widget.addItem(self.scatterplot_item)
        self.plot_widget.addItem(self.scatterplot_item_sel)

        self.scatterplot_item.selected_points = []
        self.scatterplot_item.sigClicked.connect(self.select_by_click)

        self.update_labels()
        self.make_legend()
        self.view_box.init_history()
        self.plot_widget.replot()

        min_x, max_x = np.nanmin(x_data), np.nanmax(x_data)
        min_y, max_y = np.nanmin(y_data), np.nanmax(y_data)
        self.view_box.setRange(
            QRectF(min_x, min_y, max_x - min_x, max_y - min_y),
            padding=0.025)
        self.view_box.tag_history()

    def set_labels(self, axis, labels):
        axis = self.plot_widget.getAxis(axis)
        if labels:
            ticks = [[(i, labels[i]) for i in range(len(labels))]]
            axis.setTicks(ticks)
        else:
            axis.setTicks(None)

    def set_axis_title(self, axis, title):
        self.plot_widget.setLabel(axis=axis, text=title)

    def get_size_index(self):
        size_index = -1
        attr_size = self.attr_size
        if attr_size != "" and attr_size != "(Same size)":
            size_index = self.attribute_name_index[attr_size]
        return size_index

    def compute_sizes(self):
        size_index = self.get_size_index()
        if size_index == -1:
            size_data = np.full((self.n_points,), self.point_width)
        else:
            size_data = \
                self.MinShapeSize + \
                self.no_jittering_scaled_data[size_index] * self.point_width
        size_data[np.isnan(size_data)] = self.MinShapeSize - 2
        return size_data

    def update_sizes(self):
        if self.scatterplot_item:
            size_data = self.compute_sizes()
            self.scatterplot_item.setSize(size_data)
            self.scatterplot_item_sel.setSize(size_data + SELECTION_WIDTH)

    update_point_size = update_sizes

    def get_color_index(self):
        color_index = -1
        attr_color = self.attr_color
        if attr_color != "" and attr_color != "(Same color)":
            color_index = self.attribute_name_index[attr_color]
            color_var = self.data_domain[attr_color]
            if isinstance(color_var, DiscreteVariable):
                self.discrete_palette.set_number_of_colors(
                    len(color_var.values))
        return color_index

    def compute_colors_sel(self, keep_colors=False):
        if not keep_colors:
            self.pen_colors_sel = self.brush_colors_sel = None

        def make_pen(color, width):
            p = QPen(color, width)
            p.setCosmetic(True)
            return p

        pens = [ QPen(Qt.NoPen),
                 make_pen(QColor(255, 190, 0, 255), SELECTION_WIDTH + 1.) ]
        if self.selection is not None:
            pen = [ pens[a] for a in self.selection ]
        else:
            pen = [pens[0]] * self.n_points
        brush = [QBrush(QColor(255, 255, 255, 0))] * self.n_points
        return pen, brush

    def compute_colors(self, keep_colors=False):
        if not keep_colors:
            self.pen_colors = self.brush_colors = None
        color_index = self.get_color_index()

        def make_pen(color, width):
            p = QPen(color, width)
            p.setCosmetic(True)
            return p

        subset = None
        if self.subset_indices:
            subset = np.array([ ex.id in self.subset_indices
                for ex in self.raw_data[self.valid_data] ])

        if color_index == -1: #color = "Same color"
            color = self.plot_widget.palette().color(OWPalette.Data)
            pen = [make_pen(color, 1.5)] * self.n_points
            if subset is not None:
                brush = [(QBrush(QColor(128, 128, 128, 0)),
                          QBrush(QColor(128, 128, 128, self.alpha_value)))[s]
                         for s in subset]
            else:
                brush = [QBrush(QColor(128, 128, 128))] * self.n_points
            return pen, brush

        c_data = self.original_data[color_index, self.valid_data]
        if isinstance(self.data_domain[color_index], ContinuousVariable):
            if self.pen_colors is None:
                self.scale = DiscretizedScale(np.nanmin(c_data), np.nanmax(c_data))
                c_data -= self.scale.offset
                c_data /= self.scale.width
                c_data = np.floor(c_data) + 0.5
                c_data /= self.scale.bins
                c_data = np.clip(c_data, 0, 1)
                palette = self.continuous_palette
                self.pen_colors = palette.getRGB(c_data)
                self.brush_colors = np.hstack(
                    [self.pen_colors,
                     np.full((self.n_points, 1), self.alpha_value)])
                self.pen_colors *= 100 / self.DarkerValue
                self.pen_colors = [make_pen(QColor(*col), 1.5)
                                   for col in self.pen_colors.tolist()]
            if subset is not None:
                self.brush_colors[:, 3] = 0
                self.brush_colors[subset, 3] = self.alpha_value
            else:
                self.brush_colors[:, 3] = self.alpha_value
            pen = self.pen_colors
            brush = np.array([QBrush(QColor(*col))
                              for col in self.brush_colors.tolist()])
        else:
            if self.pen_colors is None:
                palette = self.discrete_palette
                n_colors = palette.number_of_colors
                c_data = c_data.copy()
                c_data[np.isnan(c_data)] = n_colors
                c_data = c_data.astype(int)
                colors = np.r_[palette.getRGB(np.arange(n_colors)),
                               [[128, 128, 128]]]
                pens = np.array(
                    [make_pen(QColor(*col).darker(self.DarkerValue), 1.5)
                     for col in colors])
                self.pen_colors = pens[c_data]
                self.brush_colors = np.array([
                    [QBrush(QColor(0, 0, 0, 0)),
                     QBrush(QColor(col[0], col[1], col[2], self.alpha_value))]
                    for col in colors])
                self.brush_colors = self.brush_colors[c_data]
            if subset is not None:
                brush = np.where(
                    subset,
                    self.brush_colors[:, 1], self.brush_colors[:, 0])
            else:
                brush = self.brush_colors[:, 1]
            pen = self.pen_colors
        return pen, brush

    def update_colors(self, keep_colors=False):
        if self.scatterplot_item:
            pen_data, brush_data = self.compute_colors(keep_colors)
            pen_data_sel, brush_data_sel = self.compute_colors_sel(keep_colors)
            self.scatterplot_item.setPen(pen_data, update=False, mask=None)
            self.scatterplot_item.setBrush(brush_data, mask=None)
            self.scatterplot_item_sel.setPen(pen_data_sel, update=False, mask=None)
            self.scatterplot_item_sel.setBrush(brush_data_sel, mask=None)
            if not keep_colors:
                self.make_legend()

    update_alpha_value = update_colors

    def create_labels(self):
        for x, y in zip(*self.scatterplot_item.getData()):
            ti = TextItem()
            self.plot_widget.addItem(ti)
            ti.setPos(x, y)
            self.labels.append(ti)

    def update_labels(self):
        if not self.attr_label:
            for label in self.labels:
                label.setText("")
            return
        if not self.labels:
            self.create_labels()
        label_column = self.raw_data.get_column_view(self.attr_label)[0]
        formatter = self.raw_data.domain[self.attr_label].str_val
        label_data = map(formatter, label_column)
        black = pg.mkColor(0, 0, 0)
        for label, text in zip(self.labels, label_data):
            label.setText(text, black)

    def get_shape_index(self):
        shape_index = -1
        attr_shape = self.attr_shape
        if attr_shape and attr_shape != "(Same shape)" and \
                len(self.data_domain[attr_shape].values) <= \
                len(self.CurveSymbols):
            shape_index = self.attribute_name_index[attr_shape]
        return shape_index

    def compute_symbols(self):
        shape_index = self.get_shape_index()
        if shape_index == -1:
            shape_data = self.CurveSymbols[np.zeros(self.n_points, dtype=int)]
        else:
            shape_data = self.original_data[shape_index]
            shape_data[np.isnan(shape_data)] = len(self.CurveSymbols) - 1
            shape_data = self.CurveSymbols[shape_data.astype(int)]
        return shape_data

    def update_shapes(self):
        if self.scatterplot_item:
            shape_data = self.compute_symbols()
            self.scatterplot_item.setSymbol(shape_data)
        self.make_legend()

    def update_grid(self):
        self.plot_widget.showGrid(x=self.show_grid, y=self.show_grid)

    def update_legend(self):
        if self.legend:
            self.legend.setVisible(self.show_legend)

    def create_legend(self):
        self.legend = LegendItem()
        self.legend.setParentItem(self.plot_widget.getViewBox())
        self.legend.anchor(*self.__legend_anchor)

    def remove_legend(self):
        if self.legend:
            self.__legend_anchor = legend_anchor_pos(self.legend)
            self.legend.setParent(None)
            self.legend = None
        if self.color_legend:
            self.__color_legend_anchor = legend_anchor_pos(self.color_legend)
            self.color_legend.setParent(None)
            self.color_legend = None

    def make_legend(self):
        self.remove_legend()
        self.make_color_legend()
        self.make_shape_legend()
        self.update_legend()

    def make_color_legend(self):
        color_index = self.get_color_index()
        if color_index == -1:
            return
        color_var = self.data_domain[color_index]
        use_shape = self.get_shape_index() == color_index
        if isinstance(color_var, DiscreteVariable):
            if not self.legend:
                self.create_legend()
            palette = self.discrete_palette
            for i, value in enumerate(color_var.values):
                color = QColor(*palette.getRGB(i))
                brush = color.lighter(self.DarkerValue)
                self.legend.addItem(
                    ScatterPlotItem(
                        pen=color, brush=brush, size=10,
                        symbol=self.CurveSymbols[i] if use_shape else "o"),
                    value)
        else:
            legend = self.color_legend = LegendItem()
            legend.setParentItem(self.plot_widget.getViewBox())
            legend.anchor(*self.__color_legend_anchor)

            label = PaletteItemSample(self.continuous_palette, self.scale)
            legend.addItem(label, "")
            legend.setGeometry(label.boundingRect())

    def make_shape_legend(self):
        shape_index = self.get_shape_index()
        if shape_index == -1 or shape_index == self.get_color_index():
            return
        if not self.legend:
            self.create_legend()
        shape_var = self.data_domain[shape_index]
        color = self.plot_widget.palette().color(OWPalette.Data)
        pen = QPen(color.darker(self.DarkerValue))
        color.setAlpha(self.alpha_value)
        for i, value in enumerate(shape_var.values):
            self.legend.addItem(
                ScatterPlotItem(pen=pen, brush=color, size=10,
                                symbol=self.CurveSymbols[i]), value)

    def zoom_button_clicked(self):
        self.scatterplot_item.getViewBox().setMouseMode(
            self.scatterplot_item.getViewBox().RectMode)

    def pan_button_clicked(self):
        self.scatterplot_item.getViewBox().setMouseMode(
            self.scatterplot_item.getViewBox().PanMode)

    def select_button_clicked(self):
        self.scatterplot_item.getViewBox().setMouseMode(
            self.scatterplot_item.getViewBox().RectMode)

    def reset_button_clicked(self):
        self.view_box.autoRange()

    def select_by_click(self, _, points):
        self.select(points)

    def select_by_rectangle(self, value_rect):
        points = [point
                  for point in self.scatterplot_item.points()
                  if value_rect.contains(QPointF(point.pos()))]
        self.select(points)

    def unselect_all(self):
        self.selection = None
        self.update_colors(keep_colors=True)

    def select(self, points):
        # noinspection PyArgumentList
        keys = QApplication.keyboardModifiers()
        if self.selection is None or not keys & (
                        Qt.ShiftModifier + Qt.ControlModifier + Qt.AltModifier):
            self.selection = np.full(self.n_points, False, dtype=np.bool)
        indices = [p.data() for p in points]
        if keys & Qt.ControlModifier:
            self.selection[indices] = False
        elif keys & Qt.AltModifier:
            self.selection[indices] = 1 - self.selection[indices]
        else:  # Handle shift and no modifiers
            self.selection[indices] = True
        self.update_colors(keep_colors=True)
        self.master.selection_changed()

    def get_selection(self):
        if self.selection is None:
            return np.array([], dtype=int)
        else:
            return np.arange(len(self.raw_data)
                )[self.valid_data][self.selection]

    def set_palette(self, p):
        self.plot_widget.setPalette(p)

    def save_to_file(self, size):
        pass

    def help_event(self, event):
        if self.scatterplot_item is None:
            return False

        act_pos = self.scatterplot_item.mapFromScene(event.scenePos())
        points = self.scatterplot_item.pointsAt(act_pos)
        text = ""
        if len(points):
            for i, p in enumerate(points):
                index = p.data()
                text += "Attributes:\n"
                if self.tooltip_shows_all and \
                        len(self.data_domain.attributes) < 30:
                    text += "".join(
                        '   {} = {}\n'.format(attr.name,
                                              self.raw_data[index][attr])
                        for attr in self.data_domain.attributes)
                else:
                    text += '   {} = {}\n   {} = {}\n'.format(
                        self.shown_x, self.raw_data[index][self.shown_x],
                        self.shown_y, self.raw_data[index][self.shown_y])
                    if self.tooltip_shows_all:
                        text += "   ... and {} others\n\n".format(
                            len(self.data_domain.attributes) - 2)
                if self.data_domain.class_var:
                    text += 'Class:\n   {} = {}\n'.format(
                        self.data_domain.class_var.name,
                        self.raw_data[index][self.raw_data.domain.class_var])
                if i < len(points) - 1:
                    text += '------------------\n'

            text = ('<span style="white-space:pre">{}</span>'
                    .format(escape(text)))

            QToolTip.showText(event.screenPos(), text, widget=self.plot_widget)
            return True
        else:
            return False
예제 #2
0
class OWScatterPlotGraph(gui.OWComponent, ScaleScatterPlotData):
    attr_color = ContextSetting("", ContextSetting.OPTIONAL)
    attr_label = ContextSetting("", ContextSetting.OPTIONAL)
    attr_shape = ContextSetting("", ContextSetting.OPTIONAL)
    attr_size = ContextSetting("", ContextSetting.OPTIONAL)

    point_width = Setting(10)
    alpha_value = Setting(128)
    show_grid = Setting(False)
    show_legend = Setting(True)
    tooltip_shows_all = Setting(False)
    class_density = Setting(False)
    resolution = 256

    CurveSymbols = np.array("o x t + d s ?".split())
    MinShapeSize = 6
    DarkerValue = 120
    UnknownColor = (168, 50, 168)

    def __init__(self, scatter_widget, parent=None, _="None"):
        gui.OWComponent.__init__(self, scatter_widget)
        self.view_box = InteractiveViewBox(self)
        self.plot_widget = pg.PlotWidget(viewBox=self.view_box,
                                         parent=parent,
                                         background="w")
        self.plot_widget.getPlotItem().buttonsHidden = True
        self.plot_widget.setAntialiasing(True)
        self.plot_widget.sizeHint = lambda: QtCore.QSize(500, 500)

        self.replot = self.plot_widget.replot
        ScaleScatterPlotData.__init__(self)
        self.density_img = None
        self.scatterplot_item = None
        self.scatterplot_item_sel = None

        self.labels = []

        self.master = scatter_widget
        self.shown_attribute_indices = []
        self.shown_x = ""
        self.shown_y = ""
        self.pen_colors = self.brush_colors = None

        self.valid_data = None  # np.ndarray
        self.selection = None  # np.ndarray
        self.n_points = 0

        self.gui = OWPlotGUI(self)
        self.continuous_palette = ContinuousPaletteGenerator(
            QColor(255, 255, 0), QColor(0, 0, 255), True)
        self.discrete_palette = ColorPaletteGenerator()

        self.selection_behavior = 0

        self.legend = self.color_legend = None
        self.__legend_anchor = (1, 0), (1, 0)
        self.__color_legend_anchor = (1, 1), (1, 1)

        self.scale = None  # DiscretizedScale

        self.subset_indices = None

        # self.setMouseTracking(True)
        # self.grabGesture(QPinchGesture)
        # self.grabGesture(QPanGesture)

        self.update_grid()

        self._tooltip_delegate = HelpEventDelegate(self.help_event)
        self.plot_widget.scene().installEventFilter(self._tooltip_delegate)

    def new_data(self, data, subset_data=None, **args):
        self.plot_widget.clear()

        self.density_img = None
        self.scatterplot_item = None
        self.scatterplot_item_sel = None
        self.labels = []
        self.selection = None
        self.valid_data = None

        self.subset_indices = set(
            e.id for e in subset_data) if subset_data else None

        self.set_data(data, **args)

    def update_data(self, attr_x, attr_y, reset_view=True):
        self.shown_x = attr_x
        self.shown_y = attr_y

        self.remove_legend()
        if self.density_img:
            self.plot_widget.removeItem(self.density_img)
            self.density_img = None
        if self.scatterplot_item:
            self.plot_widget.removeItem(self.scatterplot_item)
            self.scatterplot_item = None
        if self.scatterplot_item_sel:
            self.plot_widget.removeItem(self.scatterplot_item_sel)
            self.scatterplot_item_sel = None
        for label in self.labels:
            self.plot_widget.removeItem(label)
        self.labels = []
        self.set_axis_title("bottom", "")
        self.set_axis_title("left", "")

        if self.scaled_data is None or not len(self.scaled_data):
            self.valid_data = None
            self.selection = None
            self.n_points = 0
            return

        index_x = self.attribute_name_index[attr_x]
        index_y = self.attribute_name_index[attr_y]
        self.valid_data = self.get_valid_list([index_x, index_y],
                                              also_class_if_exists=False)
        x_data, y_data = self.get_xy_data_positions(attr_x, attr_y,
                                                    self.valid_data)
        self.n_points = len(x_data)

        if reset_view:
            min_x, max_x = np.nanmin(x_data), np.nanmax(x_data)
            min_y, max_y = np.nanmin(y_data), np.nanmax(y_data)
            self.view_box.setRange(QRectF(min_x, min_y, max_x - min_x,
                                          max_y - min_y),
                                   padding=0.025)
            self.view_box.init_history()
            self.view_box.tag_history()
        [min_x, max_x], [min_y, max_y] = self.view_box.viewRange()

        for axis, name, index in (("bottom", attr_x, index_x), ("left", attr_y,
                                                                index_y)):
            self.set_axis_title(axis, name)
            var = self.data_domain[index]
            if var.is_discrete:
                self.set_labels(axis, get_variable_values_sorted(var))
            else:
                self.set_labels(axis, None)

        color_data, brush_data = self.compute_colors()
        color_data_sel, brush_data_sel = self.compute_colors_sel()
        size_data = self.compute_sizes()
        shape_data = self.compute_symbols()

        if self.should_draw_density():
            rgb_data = [pen.color().getRgb()[:3] for pen in color_data]
            self.density_img = classdensity.class_density_image(
                min_x, max_x, min_y, max_y, self.resolution, x_data, y_data,
                rgb_data)
            self.plot_widget.addItem(self.density_img)

        data_indices = np.flatnonzero(self.valid_data)
        self.scatterplot_item = ScatterPlotItem(x=x_data,
                                                y=y_data,
                                                data=data_indices,
                                                symbol=shape_data,
                                                size=size_data,
                                                pen=color_data,
                                                brush=brush_data)
        self.scatterplot_item_sel = ScatterPlotItem(x=x_data,
                                                    y=y_data,
                                                    data=data_indices,
                                                    symbol=shape_data,
                                                    size=size_data +
                                                    SELECTION_WIDTH,
                                                    pen=color_data_sel,
                                                    brush=brush_data_sel)
        self.plot_widget.addItem(self.scatterplot_item_sel)
        self.plot_widget.addItem(self.scatterplot_item)

        self.scatterplot_item.selected_points = []
        self.scatterplot_item.sigClicked.connect(self.select_by_click)

        self.update_labels()
        self.make_legend()
        self.plot_widget.replot()

    def can_draw_density(self):
        if self.data_domain is None:
            return False
        discrete_color = False
        attr_color = self.attr_color
        if attr_color != "" and attr_color != "(Same color)":
            color_var = self.data_domain[attr_color]
            discrete_color = color_var.is_discrete
        continuous_x = False
        continuous_y = False
        if self.shown_x and self.shown_y:
            continuous_x = self.data_domain[self.shown_x].is_continuous
            continuous_y = self.data_domain[self.shown_y].is_continuous
        return discrete_color and continuous_x and continuous_y

    def should_draw_density(self):
        return self.class_density and self.n_points > 1 and self.can_draw_density(
        )

    def set_labels(self, axis, labels):
        axis = self.plot_widget.getAxis(axis)
        if labels:
            ticks = [[(i, labels[i]) for i in range(len(labels))]]
            axis.setTicks(ticks)
        else:
            axis.setTicks(None)

    def set_axis_title(self, axis, title):
        self.plot_widget.setLabel(axis=axis, text=title)

    def get_size_index(self):
        size_index = -1
        attr_size = self.attr_size
        if attr_size != "" and attr_size != "(Same size)":
            size_index = self.attribute_name_index[attr_size]
        return size_index

    def compute_sizes(self):
        size_index = self.get_size_index()
        if size_index == -1:
            size_data = np.full((self.n_points, ), self.point_width)
        else:
            size_data = \
                self.MinShapeSize + \
                self.no_jittering_scaled_data[size_index, self.valid_data] * self.point_width
        size_data[np.isnan(size_data)] = self.MinShapeSize - 2
        return size_data

    def update_sizes(self):
        if self.scatterplot_item:
            size_data = self.compute_sizes()
            self.scatterplot_item.setSize(size_data)
            self.scatterplot_item_sel.setSize(size_data + SELECTION_WIDTH)

    update_point_size = update_sizes

    def get_color_index(self):
        color_index = -1
        attr_color = self.attr_color
        if attr_color != "" and attr_color != "(Same color)":
            color_index = self.attribute_name_index[attr_color]
            color_var = self.data_domain[attr_color]
            if color_var.is_discrete:
                self.discrete_palette.set_number_of_colors(
                    len(color_var.values))
        return color_index

    def compute_colors_sel(self, keep_colors=False):
        if not keep_colors:
            self.pen_colors_sel = self.brush_colors_sel = None

        def make_pen(color, width):
            p = QPen(color, width)
            p.setCosmetic(True)
            return p

        pens = [
            QPen(Qt.NoPen),
            make_pen(QColor(255, 190, 0, 255), SELECTION_WIDTH + 1.)
        ]
        if self.selection is not None:
            pen = [pens[a] for a in self.selection[self.valid_data]]
        else:
            pen = [pens[0]] * self.n_points
        brush = [QBrush(QColor(255, 255, 255, 0))] * self.n_points
        return pen, brush

    def compute_colors(self, keep_colors=False):
        if not keep_colors:
            self.pen_colors = self.brush_colors = None
        color_index = self.get_color_index()

        def make_pen(color, width):
            p = QPen(color, width)
            p.setCosmetic(True)
            return p

        subset = None
        if self.subset_indices:
            subset = np.array([
                ex.id in self.subset_indices
                for ex in self.raw_data[self.valid_data]
            ])

        if color_index == -1:  #color = "Same color"
            color = self.plot_widget.palette().color(OWPalette.Data)
            pen = [make_pen(color, 1.5)] * self.n_points
            if subset is not None:
                brush = [(QBrush(QColor(128, 128, 128, 0)),
                          QBrush(QColor(128, 128, 128, self.alpha_value)))[s]
                         for s in subset]
            else:
                brush = [QBrush(QColor(128, 128, 128))] * self.n_points
            return pen, brush

        c_data = self.original_data[color_index, self.valid_data]
        if self.data_domain[color_index].is_continuous:
            if self.pen_colors is None:
                self.scale = DiscretizedScale(np.nanmin(c_data),
                                              np.nanmax(c_data))
                c_data -= self.scale.offset
                c_data /= self.scale.width
                c_data = np.floor(c_data) + 0.5
                c_data /= self.scale.bins
                c_data = np.clip(c_data, 0, 1)
                palette = self.continuous_palette
                self.pen_colors = palette.getRGB(c_data)
                self.brush_colors = np.hstack([
                    self.pen_colors,
                    np.full((self.n_points, 1), self.alpha_value)
                ])
                self.pen_colors *= 100 / self.DarkerValue
                self.pen_colors = [
                    make_pen(QColor(*col), 1.5)
                    for col in self.pen_colors.tolist()
                ]
            if subset is not None:
                self.brush_colors[:, 3] = 0
                self.brush_colors[subset, 3] = self.alpha_value
            else:
                self.brush_colors[:, 3] = self.alpha_value
            pen = self.pen_colors
            brush = np.array(
                [QBrush(QColor(*col)) for col in self.brush_colors.tolist()])
        else:
            if self.pen_colors is None:
                palette = self.discrete_palette
                n_colors = palette.number_of_colors
                c_data = c_data.copy()
                c_data[np.isnan(c_data)] = n_colors
                c_data = c_data.astype(int)
                colors = np.r_[palette.getRGB(np.arange(n_colors)),
                               [[128, 128, 128]]]
                pens = np.array([
                    make_pen(QColor(*col).darker(self.DarkerValue), 1.5)
                    for col in colors
                ])
                self.pen_colors = pens[c_data]
                self.brush_colors = np.array([[
                    QBrush(QColor(0, 0, 0, 0)),
                    QBrush(QColor(col[0], col[1], col[2], self.alpha_value))
                ] for col in colors])
                self.brush_colors = self.brush_colors[c_data]
            if subset is not None:
                brush = np.where(subset, self.brush_colors[:, 1],
                                 self.brush_colors[:, 0])
            else:
                brush = self.brush_colors[:, 1]
            pen = self.pen_colors
        return pen, brush

    def update_colors(self, keep_colors=False):
        if self.scatterplot_item:
            pen_data, brush_data = self.compute_colors(keep_colors)
            pen_data_sel, brush_data_sel = self.compute_colors_sel(keep_colors)
            self.scatterplot_item.setPen(pen_data, update=False, mask=None)
            self.scatterplot_item.setBrush(brush_data, mask=None)
            self.scatterplot_item_sel.setPen(pen_data_sel,
                                             update=False,
                                             mask=None)
            self.scatterplot_item_sel.setBrush(brush_data_sel, mask=None)
            if not keep_colors:
                self.make_legend()

                if self.should_draw_density():
                    self.update_data(self.shown_x, self.shown_y)
                elif self.density_img:
                    self.plot_widget.removeItem(self.density_img)

    update_alpha_value = update_colors

    def create_labels(self):
        for x, y in zip(*self.scatterplot_item.getData()):
            ti = TextItem()
            self.plot_widget.addItem(ti)
            ti.setPos(x, y)
            self.labels.append(ti)

    def update_labels(self):
        if not self.attr_label:
            for label in self.labels:
                label.setText("")
            return
        if not self.labels:
            self.create_labels()
        label_column = self.raw_data.get_column_view(self.attr_label)[0]
        formatter = self.raw_data.domain[self.attr_label].str_val
        label_data = map(formatter, label_column)
        black = pg.mkColor(0, 0, 0)
        for label, text in zip(self.labels, label_data):
            label.setText(text, black)

    def get_shape_index(self):
        shape_index = -1
        attr_shape = self.attr_shape
        if attr_shape and attr_shape != "(Same shape)" and \
                len(self.data_domain[attr_shape].values) <= \
                len(self.CurveSymbols):
            shape_index = self.attribute_name_index[attr_shape]
        return shape_index

    def compute_symbols(self):
        shape_index = self.get_shape_index()
        if shape_index == -1:
            shape_data = self.CurveSymbols[np.zeros(self.n_points, dtype=int)]
        else:
            shape_data = self.original_data[shape_index, self.valid_data]
            shape_data[np.isnan(shape_data)] = len(self.CurveSymbols) - 1
            shape_data = self.CurveSymbols[shape_data.astype(int)]
        return shape_data

    def update_shapes(self):
        if self.scatterplot_item:
            shape_data = self.compute_symbols()
            self.scatterplot_item.setSymbol(shape_data)
        self.make_legend()

    def update_grid(self):
        self.plot_widget.showGrid(x=self.show_grid, y=self.show_grid)

    def update_legend(self):
        if self.legend:
            self.legend.setVisible(self.show_legend)

    def create_legend(self):
        self.legend = LegendItem()
        self.legend.setParentItem(self.plot_widget.getViewBox())
        self.legend.anchor(*self.__legend_anchor)

    def remove_legend(self):
        if self.legend:
            anchor = legend_anchor_pos(self.legend)
            if anchor is not None:
                self.__legend_anchor = anchor
            self.legend.setParent(None)
            self.legend = None
        if self.color_legend:
            anchor = legend_anchor_pos(self.color_legend)
            if anchor is not None:
                self.__color_legend_anchor = anchor
            self.color_legend.setParent(None)
            self.color_legend = None

    def make_legend(self):
        self.remove_legend()
        self.make_color_legend()
        self.make_shape_legend()
        self.update_legend()

    def make_color_legend(self):
        color_index = self.get_color_index()
        if color_index == -1:
            return
        color_var = self.data_domain[color_index]
        use_shape = self.get_shape_index() == color_index
        if color_var.is_discrete:
            if not self.legend:
                self.create_legend()
            palette = self.discrete_palette
            for i, value in enumerate(color_var.values):
                color = QColor(*palette.getRGB(i))
                brush = color.lighter(self.DarkerValue)
                self.legend.addItem(
                    ScatterPlotItem(
                        pen=color,
                        brush=brush,
                        size=10,
                        symbol=self.CurveSymbols[i] if use_shape else "o"),
                    escape(value))
        else:
            legend = self.color_legend = LegendItem()
            legend.setParentItem(self.plot_widget.getViewBox())
            legend.anchor(*self.__color_legend_anchor)

            label = PaletteItemSample(self.continuous_palette, self.scale)
            legend.addItem(label, "")
            legend.setGeometry(label.boundingRect())

    def make_shape_legend(self):
        shape_index = self.get_shape_index()
        if shape_index == -1 or shape_index == self.get_color_index():
            return
        if not self.legend:
            self.create_legend()
        shape_var = self.data_domain[shape_index]
        color = self.plot_widget.palette().color(OWPalette.Data)
        pen = QPen(color.darker(self.DarkerValue))
        color.setAlpha(self.alpha_value)
        for i, value in enumerate(shape_var.values):
            self.legend.addItem(
                ScatterPlotItem(pen=pen,
                                brush=color,
                                size=10,
                                symbol=self.CurveSymbols[i]), escape(value))

    def zoom_button_clicked(self):
        self.plot_widget.getViewBox().setMouseMode(
            self.plot_widget.getViewBox().RectMode)

    def pan_button_clicked(self):
        self.plot_widget.getViewBox().setMouseMode(
            self.plot_widget.getViewBox().PanMode)

    def select_button_clicked(self):
        self.plot_widget.getViewBox().setMouseMode(
            self.plot_widget.getViewBox().RectMode)

    def reset_button_clicked(self):
        self.update_data(self.shown_x, self.shown_y,
                         reset_view=True)  # also redraw density image
        # self.view_box.autoRange()

    def select_by_click(self, _, points):
        if self.scatterplot_item is not None:
            self.select(points)

    def select_by_rectangle(self, value_rect):
        if self.scatterplot_item is not None:
            points = [
                point for point in self.scatterplot_item.points()
                if value_rect.contains(QPointF(point.pos()))
            ]
            self.select(points)

    def unselect_all(self):
        self.selection = None
        self.update_colors(keep_colors=True)
        self.master.selection_changed()

    def select(self, points):
        # noinspection PyArgumentList
        if self.raw_data is None:
            return
        keys = QApplication.keyboardModifiers()
        if self.selection is None or not keys & (
                Qt.ShiftModifier + Qt.ControlModifier + Qt.AltModifier):
            self.selection = np.full(len(self.raw_data), False, dtype=np.bool)
        indices = [p.data() for p in points]
        if keys & Qt.AltModifier:
            self.selection[indices] = False
        elif keys & Qt.ControlModifier:
            self.selection[indices] = ~self.selection[indices]
        else:  # Handle shift and no modifiers
            self.selection[indices] = True
        self.update_colors(keep_colors=True)
        self.master.selection_changed()

    def get_selection(self):
        if self.selection is None:
            return np.array([], dtype=int)
        else:
            return np.flatnonzero(self.selection)

    def set_palette(self, p):
        self.plot_widget.setPalette(p)

    def save_to_file(self, size):
        pass

    def help_event(self, event):
        if self.scatterplot_item is None:
            return False

        act_pos = self.scatterplot_item.mapFromScene(event.scenePos())
        points = self.scatterplot_item.pointsAt(act_pos)
        text = ""
        if len(points):
            for i, p in enumerate(points):
                index = p.data()
                text += "Attributes:\n"
                if self.tooltip_shows_all and \
                        len(self.data_domain.attributes) < 30:
                    text += "".join('   {} = {}\n'.format(
                        attr.name, self.raw_data[index][attr])
                                    for attr in self.data_domain.attributes)
                else:
                    text += '   {} = {}\n   {} = {}\n'.format(
                        self.shown_x, self.raw_data[index][self.shown_x],
                        self.shown_y, self.raw_data[index][self.shown_y])
                    if self.tooltip_shows_all:
                        text += "   ... and {} others\n\n".format(
                            len(self.data_domain.attributes) - 2)
                if self.data_domain.class_var:
                    text += 'Class:\n   {} = {}\n'.format(
                        self.data_domain.class_var.name,
                        self.raw_data[index][self.raw_data.domain.class_var])
                if i < len(points) - 1:
                    text += '------------------\n'

            text = ('<span style="white-space:pre">{}</span>'.format(
                escape(text)))

            QToolTip.showText(event.screenPos(), text, widget=self.plot_widget)
            return True
        else:
            return False