Python OWScatterPlotGraph.rescale_data方法代码示例

# 需要导入模块: from Orange.widgets.visualize.owscatterplotgraph import OWScatterPlotGraph [as 别名]
# 或者: from Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotGraph import rescale_data [as 别名]

#.........这里部分代码省略.........
        self.models = [self.xy_model] + g.points_models

        box_plot_prop = gui.vBox(self.controlArea, "Plot Properties")
        g.add_widgets([g.ShowLegend,
                       g.ShowGridLines,
                       g.ToolTipShowsAll,
                       g.ClassDensity,
                       g.RegressionLine,
                       g.LabelOnlySelected], box_plot_prop)

        self.graph.box_zoom_select(self.controlArea)

        self.controlArea.layout().addStretch(100)
        self.icons = gui.attributeIconDict

        p = self.graph.plot_widget.palette()
        self.graph.set_palette(p)

        gui.auto_commit(self.controlArea, self, "auto_send_selection",
                        "Send Selection", "Send Automatically")

        self.graph.zoom_actions(self)

    def keyPressEvent(self, event):
        super().keyPressEvent(event)
        self.graph.update_tooltip(event.modifiers())

    def keyReleaseEvent(self, event):
        super().keyReleaseEvent(event)
        self.graph.update_tooltip(event.modifiers())

    def reset_graph_data(self, *_):
        if self.data is not None:
            self.graph.rescale_data()
            self.update_graph()

    def _vizrank_color_change(self):
        self.vizrank.initialize()
        is_enabled = self.data is not None and not self.data.is_sparse() and \
                     len([v for v in chain(self.data.domain.variables, self.data.domain.metas)
                          if v.is_primitive]) > 2\
                     and len(self.data) > 1
        self.vizrank_button.setEnabled(
            is_enabled and self.graph.attr_color is not None and
            not np.isnan(self.data.get_column_view(self.graph.attr_color)[0].astype(float)).all())
        if is_enabled and self.graph.attr_color is None:
            self.vizrank_button.setToolTip("Color variable has to be selected.")
        else:
            self.vizrank_button.setToolTip("")

    @Inputs.data
    def set_data(self, data):
        self.clear_messages()
        self.Information.sampled_sql.clear()
        self.__timer.stop()
        self.sampling.setVisible(False)
        self.sql_data = None
        if isinstance(data, SqlTable):
            if data.approx_len() < 4000:
                data = Table(data)
            else:
                self.Information.sampled_sql()
                self.sql_data = data
                data_sample = data.sample_time(0.8, no_cache=True)
                data_sample.download_data(2000, partial=True)
                data = Table(data_sample)

# 需要导入模块: from Orange.widgets.visualize.owscatterplotgraph import OWScatterPlotGraph [as 别名]
# 或者: from Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotGraph import rescale_data [as 别名]

#.........这里部分代码省略.........
        )
        zoom_fit = QAction(
            "Fit in view", self,
            shortcut=QKeySequence(Qt.ControlModifier | Qt.Key_0),
            triggered=fit_to_view
        )
        self.addActions([zoom_in, zoom_out, zoom_fit])

    def keyPressEvent(self, event):
        super().keyPressEvent(event)
        self.graph.update_tooltip(event.modifiers())

    def keyReleaseEvent(self, event):
        super().keyReleaseEvent(event)
        self.graph.update_tooltip(event.modifiers())

    # def settingsFromWidgetCallback(self, handler, context):
    #     context.selectionPolygons = []
    #     for curve in self.graph.selectionCurveList:
    #         xs = [curve.x(i) for i in range(curve.dataSize())]
    #         ys = [curve.y(i) for i in range(curve.dataSize())]
    #         context.selectionPolygons.append((xs, ys))

    # def settingsToWidgetCallback(self, handler, context):
    #     selections = getattr(context, "selectionPolygons", [])
    #     for (xs, ys) in selections:
    #         c = SelectionCurve("")
    #         c.setData(xs,ys)
    #         c.attach(self.graph)
    #         self.graph.selectionCurveList.append(c)

    def reset_graph_data(self, *_):
        if self.data is not None:
            self.graph.rescale_data()
            self.update_graph()

    @Inputs.data
    def set_data(self, data):
        self.clear_messages()
        self.Information.sampled_sql.clear()
        self.__timer.stop()
        self.sampling.setVisible(False)
        self.sql_data = None
        if isinstance(data, SqlTable):
            if data.approx_len() < 4000:
                data = Table(data)
            else:
                self.Information.sampled_sql()
                self.sql_data = data
                data_sample = data.sample_time(0.8, no_cache=True)
                data_sample.download_data(2000, partial=True)
                data = Table(data_sample)
                self.sampling.setVisible(True)
                if self.auto_sample:
                    self.__timer.start()

        if data is not None and (len(data) == 0 or len(data.domain) == 0):
            data = None
        if self.data and data and self.data.checksum() == data.checksum():
            return

        self.closeContext()
        same_domain = (self.data and data and
                       data.domain.checksum() == self.data.domain.checksum())
        self.data = data
        self.data_metas_X = self.move_primitive_metas_to_X(data)

# 需要导入模块: from Orange.widgets.visualize.owscatterplotgraph import OWScatterPlotGraph [as 别名]
# 或者: from Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotGraph import rescale_data [as 别名]

#.........这里部分代码省略.........

        zoom_in = QtGui.QAction(
            "Zoom in", self, triggered=lambda: zoom(1.25)
        )
        zoom_in.setShortcuts([QtGui.QKeySequence(QtGui.QKeySequence.ZoomIn),
                              QtGui.QKeySequence(self.tr("Ctrl+="))])
        zoom_out = QtGui.QAction(
            "Zoom out", self, shortcut=QtGui.QKeySequence.ZoomOut,
            triggered=lambda: zoom(1 / 1.25)
        )
        zoom_fit = QtGui.QAction(
            "Fit in view", self,
            shortcut=QtGui.QKeySequence(Qt.ControlModifier | Qt.Key_0),
            triggered=fit_to_view
        )
        self.addActions([zoom_in, zoom_out, zoom_fit])

    # def settingsFromWidgetCallback(self, handler, context):
    #     context.selectionPolygons = []
    #     for curve in self.graph.selectionCurveList:
    #         xs = [curve.x(i) for i in range(curve.dataSize())]
    #         ys = [curve.y(i) for i in range(curve.dataSize())]
    #         context.selectionPolygons.append((xs, ys))

    # def settingsToWidgetCallback(self, handler, context):
    #     selections = getattr(context, "selectionPolygons", [])
    #     for (xs, ys) in selections:
    #         c = SelectionCurve("")
    #         c.setData(xs,ys)
    #         c.attach(self.graph)
    #         self.graph.selectionCurveList.append(c)

    def reset_graph_data(self, *_):
        self.graph.rescale_data()
        self.update_graph()

    def set_data(self, data):
        self.Information.sampled_sql.clear()
        self.__timer.stop()
        self.sampling.setVisible(False)
        self.sql_data = None
        if isinstance(data, SqlTable):
            if data.approx_len() < 4000:
                data = Table(data)
            else:
                self.Information.sampled_sql()
                self.sql_data = data
                data_sample = data.sample_time(0.8, no_cache=True)
                data_sample.download_data(2000, partial=True)
                data = Table(data_sample)
                self.sampling.setVisible(True)
                if self.auto_sample:
                    self.__timer.start()

        if data is not None and (len(data) == 0 or len(data.domain) == 0):
            data = None
        if self.data and data and self.data.checksum() == data.checksum():
            return

        self.closeContext()
        same_domain = (self.data and data and
                       data.domain.checksum() == self.data.domain.checksum())
        self.data = data
        self.data_metas_X = self.move_primitive_metas_to_X(data)

        if not same_domain:

# 需要导入模块: from Orange.widgets.visualize.owscatterplotgraph import OWScatterPlotGraph [as 别名]
# 或者: from Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotGraph import rescale_data [as 别名]

#.........这里部分代码省略.........
        zoom_in = QtGui.QAction(
            "Zoom in", self, triggered=lambda: zoom(1.25)
        )
        zoom_in.setShortcuts([QtGui.QKeySequence(QtGui.QKeySequence.ZoomIn),
                              QtGui.QKeySequence(self.tr("Ctrl+="))])
        zoom_out = QtGui.QAction(
            "Zoom out", self, shortcut=QtGui.QKeySequence.ZoomOut,
            triggered=lambda: zoom(1 / 1.25)
        )
        zoom_fit = QtGui.QAction(
            "Fit in view", self,
            shortcut=QtGui.QKeySequence(Qt.ControlModifier | Qt.Key_0),
            triggered=fit_to_view
        )
        self.addActions([zoom_in, zoom_out, zoom_fit])
        self.graphButton.clicked.connect(self.save_graph)

    # def settingsFromWidgetCallback(self, handler, context):
    #     context.selectionPolygons = []
    #     for curve in self.graph.selectionCurveList:
    #         xs = [curve.x(i) for i in range(curve.dataSize())]
    #         ys = [curve.y(i) for i in range(curve.dataSize())]
    #         context.selectionPolygons.append((xs, ys))

    # def settingsToWidgetCallback(self, handler, context):
    #     selections = getattr(context, "selectionPolygons", [])
    #     for (xs, ys) in selections:
    #         c = SelectionCurve("")
    #         c.setData(xs,ys)
    #         c.attach(self.graph)
    #         self.graph.selectionCurveList.append(c)

    def reset_graph_data(self, *_):
        self.graph.rescale_data()
        self.update_graph()

    def set_data(self, data):
        self.information(1)
        if isinstance(data, SqlTable):
            if data.approx_len() < 4000:
                data = Table(data)
            else:
                self.information(1, "Data has been sampled")
                data_sample = data.sample_time(1, no_cache=True)
                data_sample.download_data(2000, partial=True)
                data = Table(data_sample)

        if data is not None and (len(data) == 0 or len(data.domain) == 0):
            data = None
        if self.data and data and self.data.checksum() == data.checksum():
            return

        self.closeContext()
        same_domain = \
            self.data and data and \
            data.domain.checksum() == self.data.domain.checksum()
        self.data = data
        self.data_metas_X = self.move_primitive_metas_to_X(data)

        # TODO: adapt scatter plot to work on SqlTables (avoid use of X and Y)
        if isinstance(self.data, SqlTable):
            self.data.download_data()

        if not same_domain:
            self.init_attr_values()
        self.vizrank._initialize()

# 需要导入模块: from Orange.widgets.visualize.owscatterplotgraph import OWScatterPlotGraph [as 别名]
# 或者: from Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotGraph import rescale_data [as 别名]

#.........这里部分代码省略.........
        zoom_in.setShortcuts([QtGui.QKeySequence(QtGui.QKeySequence.ZoomIn),
                              QtGui.QKeySequence(self.tr("Ctrl+="))])
        zoom_out = QtGui.QAction(
            "Zoom out", self, shortcut=QtGui.QKeySequence.ZoomOut,
            triggered=lambda: zoom(1 / 1.25)
        )
        zoom_fit = QtGui.QAction(
            "Fit in view", self,
            shortcut=QtGui.QKeySequence(Qt.ControlModifier | Qt.Key_0),
            triggered=fit_to_view
        )
        self.addActions([zoom_in, zoom_out, zoom_fit])

        # self.vizrank = OWVizRank(self, self.signalManager, self.graph,
        #                          orngVizRank.SCATTERPLOT, "ScatterPlot")
        # self.optimizationDlg = self.vizrank

    # def settingsFromWidgetCallback(self, handler, context):
    #     context.selectionPolygons = []
    #     for curve in self.graph.selectionCurveList:
    #         xs = [curve.x(i) for i in range(curve.dataSize())]
    #         ys = [curve.y(i) for i in range(curve.dataSize())]
    #         context.selectionPolygons.append((xs, ys))

    # def settingsToWidgetCallback(self, handler, context):
    #     selections = getattr(context, "selectionPolygons", [])
    #     for (xs, ys) in selections:
    #         c = SelectionCurve("")
    #         c.setData(xs,ys)
    #         c.attach(self.graph)
    #         self.graph.selectionCurveList.append(c)

    def reset_graph_data(self, *_):
        self.graph.rescale_data()
        self.major_graph_update()

    def set_data(self, data):
        if type(data) == SqlTable and data.approx_len() > LARGE_TABLE:
            data = data.sample_time(DEFAULT_SAMPLE_TIME)

        if data is not None and (len(data) == 0 or len(data.domain) == 0):
            data = None
        if self.data and data and self.data.checksum() == data.checksum():
            return

        self.closeContext()
        same_domain = \
            self.data and data and \
            data.domain.checksum() == self.data.domain.checksum()
        self.data = data

        # TODO: adapt scatter plot to work on SqlTables (avoid use of X and Y)
        if isinstance(self.data, SqlTable):
            self.data.download_data()

        # self.vizrank.clearResults()
        if not same_domain:
            self.init_attr_values()
        self.openContext(self.data)

    def set_subset_data(self, subset_data):
        self.subset_data = subset_data
        # self.vizrank.clearArguments()

    # called when all signals are received, so the graph is updated only once
    def handleNewSignals(self):

# 需要导入模块: from Orange.widgets.visualize.owscatterplotgraph import OWScatterPlotGraph [as 别名]
# 或者: from Orange.widgets.visualize.owscatterplotgraph.OWScatterPlotGraph import rescale_data [as 别名]

#.........这里部分代码省略.........

        dlg = self.create_color_dialog()
        self.graph.continuous_palette = dlg.getContinuousPalette("contPalette")
        self.graph.discrete_palette = dlg.getDiscretePalette("discPalette")
        p = self.graph.plot_widget.palette()
        self.graph.set_palette(p)

        self.zoom_select_toolbar.buttons[OWPlotGUI.SendSelection].setEnabled(
            not self.auto_send_selection)

        self.mainArea.setMinimumWidth(700)
        self.mainArea.setMinimumHeight(550)

        # self.vizrank = OWVizRank(self, self.signalManager, self.graph,
        #                          orngVizRank.SCATTERPLOT, "ScatterPlot")
        # self.optimizationDlg = self.vizrank

    # def settingsFromWidgetCallback(self, handler, context):
    #     context.selectionPolygons = []
    #     for curve in self.graph.selectionCurveList:
    #         xs = [curve.x(i) for i in range(curve.dataSize())]
    #         ys = [curve.y(i) for i in range(curve.dataSize())]
    #         context.selectionPolygons.append((xs, ys))

    # def settingsToWidgetCallback(self, handler, context):
    #     selections = getattr(context, "selectionPolygons", [])
    #     for (xs, ys) in selections:
    #         c = SelectionCurve("")
    #         c.setData(xs,ys)
    #         c.attach(self.graph)
    #         self.graph.selectionCurveList.append(c)

    def reset_graph_data(self, *_):
        self.graph.rescale_data()
        self.major_graph_update()

    def set_data(self, data: Orange.data.Table):
        if data is not None and (len(data) == 0 or len(data.domain) == 0):
            data = None
        if self.data and data and self.data.checksum() == data.checksum():
            return

        self.closeContext()
        same_domain = \
            self.data and data and \
            data.domain.checksum() == self.data.domain.checksum()
        self.data = data

        # TODO: adapt scatter plot to work on SqlTables (avoid use of X and Y)
        if isinstance(self.data, SqlTable):
            self.data.X = np.empty((len(self.data),
                                   len(self.data.domain.attributes)))
            self.data.Y = np.empty((len(self.data),
                                   len(self.data.domain.class_vars)))
            for i, row in enumerate(data):
                self.data.X[i] = [row[attr]
                                  for attr in self.data.domain.attributes]
                if self.data.domain.class_vars:
                    self.data.Y[i] = [row[cv]
                                      for cv in self.data.domain.class_vars]

        # self.vizrank.clearResults()
        if not same_domain:
            self.init_attr_values()
        self.openContext(self.data)