Python LegendItem.hide方法代码示例

# 需要导入模块: from Orange.widgets.visualize.owlinearprojection import LegendItem [as 别名]
# 或者: from Orange.widgets.visualize.owlinearprojection.LegendItem import hide [as 别名]

#.........这里部分代码省略.........
        group.addAction(action_pan)
        self.addActions(group.actions() + [action_reset_zoom])
        action_select.setChecked(True)

        def button(action):
            b = QtGui.QToolButton()
            b.setToolButtonStyle(Qt.ToolButtonIconOnly)
            b.setDefaultAction(action)
            return b

        box.layout().addWidget(button(action_select))
        box.layout().addWidget(button(action_zoom))
        box.layout().addWidget(button(action_pan))
        box.layout().addSpacing(4)
        box.layout().addWidget(button(action_reset_zoom))
        box.layout().addStretch()

        self.controlArea.layout().addWidget(box)

        box = gui.vBox(self.controlArea, "Output")
        self.output_combo = gui.comboBox(
            box, self, "output_embedding_role",
            items=["Original features only",
                   "Coordinates only",
                   "Coordinates as features",
                   "Coordinates as meta attributes"],
            callback=self._invalidate_output, addSpace=4)
        gui.auto_commit(box, self, "autocommit", "Send Selected",
                        checkbox_label="Send selected automatically",
                        box=None)

        self.plot = pg.PlotWidget(background="w", enableMenu=False)
        self.plot.setAspectLocked(True)
        self.plot.getPlotItem().hideAxis("bottom")
        self.plot.getPlotItem().hideAxis("left")
        self.plot.getPlotItem().hideButtons()
        self.plot.setRenderHint(QtGui.QPainter.Antialiasing)
        self.mainArea.layout().addWidget(self.plot)

        self.selection_tool = PlotSelectionTool(parent=self)
        self.zoom_tool = PlotZoomTool(parent=self)
        self.pan_tool = PlotPanTool(parent=self)
        self.pinch_tool = PlotPinchZoomTool(parent=self)
        self.pinch_tool.setViewBox(self.plot.getViewBox())
        self.selection_tool.setViewBox(self.plot.getViewBox())
        self.selection_tool.selectionFinished.connect(self.__selection_end)
        self.current_tool = self.selection_tool

        def activate_tool(action):
            self.current_tool.setViewBox(None)

            if action is action_select:
                active, cur = self.selection_tool, Qt.ArrowCursor
            elif action is action_zoom:
                active, cur = self.zoom_tool, Qt.ArrowCursor
            elif action is action_pan:
                active, cur = self.pan_tool, Qt.OpenHandCursor
            self.current_tool = active
            self.current_tool.setViewBox(self.plot.getViewBox())
            self.plot.getViewBox().setCursor(QtGui.QCursor(cur))

        group.triggered[QtGui.QAction].connect(activate_tool)

        self._initialize()

    @check_sql_input

# 需要导入模块: from Orange.widgets.visualize.owlinearprojection import LegendItem [as 别名]
# 或者: from Orange.widgets.visualize.owlinearprojection.LegendItem import hide [as 别名]
class OWDistributions(widget.OWWidget):
    name = "Distributions"
    description = "Display value distributions of a data feature in a graph."
    icon = "icons/Distribution.svg"
    priority = 100
    inputs = [InputSignal("Data", Orange.data.Table, "set_data",
                          doc="Set the input data set")]

    settingsHandler = settings.DomainContextHandler(
        match_values=settings.DomainContextHandler.MATCH_VALUES_ALL)
    #: Selected variable index
    variable_idx = settings.ContextSetting(-1)
    #: Selected group variable
    groupvar_idx = settings.ContextSetting(0)

    relative_freq = settings.Setting(False)
    disc_cont = settings.Setting(False)

    smoothing_index = settings.Setting(5)
    show_prob = settings.ContextSetting(0)

    want_graph = True
    ASH_HIST = 50

    bins = [ 2, 3, 4, 5, 8, 10, 12, 15, 20, 30, 50 ]
    smoothing_facs = list(reversed([ 0.1, 0.2, 0.4, 0.6, 0.8, 1, 1.5, 2, 4, 6, 10 ]))

    def __init__(self):
        super().__init__()
        self.data = None

        self.distributions = None
        self.contingencies = None
        self.var = self.cvar = None
        varbox = gui.widgetBox(self.controlArea, "Variable")

        self.varmodel = itemmodels.VariableListModel()
        self.groupvarmodel = []

        self.varview = QtGui.QListView(
            selectionMode=QtGui.QListView.SingleSelection)
        self.varview.setSizePolicy(
            QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Expanding)
        self.varview.setModel(self.varmodel)
        self.varview.setSelectionModel(
            itemmodels.ListSingleSelectionModel(self.varmodel))
        self.varview.selectionModel().selectionChanged.connect(
            self._on_variable_idx_changed)
        varbox.layout().addWidget(self.varview)

        box = gui.widgetBox(self.controlArea, "Precision")

        gui.separator(self.controlArea, 4, 4)

        box2 = gui.widgetBox(box, orientation="horizontal")
        self.l_smoothing_l = gui.widgetLabel(box2, "Smooth")
        gui.hSlider(box2, self, "smoothing_index",
                    minValue=0, maxValue=len(self.smoothing_facs) - 1,
                    callback=self._on_set_smoothing, createLabel=False)
        self.l_smoothing_r = gui.widgetLabel(box2, "Precise")

        self.cb_disc_cont = gui.checkBox(
            gui.indentedBox(box, sep=4),
            self, "disc_cont", "Bin continuous variables",
            callback=self._on_groupvar_idx_changed)

        box = gui.widgetBox(self.controlArea, "Group by")
        self.icons = gui.attributeIconDict
        self.groupvarview = gui.comboBox(box, self, "groupvar_idx",
             callback=self._on_groupvar_idx_changed, valueType=str,
             contentsLength=12)
        box2 = gui.indentedBox(box, sep=4)
        self.cb_rel_freq = gui.checkBox(
            box2, self, "relative_freq", "Show relative frequencies",
            callback=self._on_relative_freq_changed)
        gui.separator(box2)
        self.cb_prob = gui.comboBox(
            box2, self, "show_prob", label="Show probabilities",
            orientation="horizontal",
            callback=self._on_relative_freq_changed)

        plotview = pg.PlotWidget(background=None)
        self.mainArea.layout().addWidget(plotview)
        w = QtGui.QLabel()
        w.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Fixed)
        self.mainArea.layout().addWidget(w, Qt.AlignCenter)

        self.plot = pg.PlotItem()
        self.plot.hideButtons()
        plotview.setCentralItem(self.plot)

        self.plot_prob = pg.ViewBox()
        self.plot.hideAxis('right')
        self.plot.scene().addItem(self.plot_prob)
        self.plot.getAxis("right").linkToView(self.plot_prob)
        self.plot.getAxis("right").setLabel("Probability")
        self.plot_prob.setZValue(10)
        self.plot_prob.setXLink(self.plot)
        self.update_views()
        self.plot.vb.sigResized.connect(self.update_views)
#.........这里部分代码省略.........

# 需要导入模块: from Orange.widgets.visualize.owlinearprojection import LegendItem [as 别名]
# 或者: from Orange.widgets.visualize.owlinearprojection.LegendItem import hide [as 别名]

#.........这里部分代码省略.........
        )
        self.plot.addItem(item)

        if self._label_data is not None:
            for (x, y), text_item in zip(self.embedding, self._label_data):
                self.plot.addItem(text_item)
                text_item.setPos(x, y)

        self._legend_item = LegendItem()
        self._legend_item.setParentItem(self.plot.getViewBox())
        self._legend_item.anchor(*self.legend_anchor)

        color_var = shape_var = None
        if have_data and 1 <= self.color_index < len(self.colorvar_model):
            color_var = self.colorvar_model[self.color_index]
            assert isinstance(color_var, Orange.data.Variable)
        if have_data and 1 <= self.shape_index < len(self.shapevar_model):
            shape_var = self.shapevar_model[self.shape_index]
            assert isinstance(shape_var, Orange.data.Variable)

        if shape_var is not None or \
                (color_var is not None and color_var.is_discrete):

            legend_data = mdsplotutils.legend_data(
                color_var, shape_var, plotstyle=mdsplotutils.plotstyle)

            for color, symbol, text in legend_data:
                self._legend_item.addItem(
                    ScatterPlotItem(pen=color, brush=color, symbol=symbol,
                                    size=10),
                    text
                )
        else:
            self._legend_item.hide()

    def commit(self):
        if self.embedding is not None:
            output = embedding = Orange.data.Table.from_numpy(
                Orange.data.Domain([Orange.data.ContinuousVariable("X"),
                                    Orange.data.ContinuousVariable("Y")]),
                self.embedding
            )
        else:
            output = embedding = None

        if self.embedding is not None and self.data is not None:
            domain = self.data.domain
            attrs = domain.attributes
            class_vars = domain.class_vars
            metas = domain.metas

            if self.output_embedding_role == OWMDS.AttrRole:
                attrs = attrs + embedding.domain.attributes
            elif self.output_embedding_role == OWMDS.MetaRole:
                metas = metas + embedding.domain.attributes

            domain = Orange.data.Domain(attrs, class_vars, metas)
            output = Orange.data.Table.from_table(domain, self.data)

            if self.output_embedding_role == OWMDS.AttrRole:
                output.X[:, -2:] = embedding.X
            elif self.output_embedding_role == OWMDS.MetaRole:
                output.metas[:, -2:] = embedding.X

        self.send("Data", output)
        if output is not None and self._selection_mask is not None and \

# 需要导入模块: from Orange.widgets.visualize.owlinearprojection import LegendItem [as 别名]
# 或者: from Orange.widgets.visualize.owlinearprojection.LegendItem import hide [as 别名]
class OWDistributions(widget.OWWidget):
    name = "Distributions"
    description = "Display value distributions of a data feature in a graph."
    icon = "icons/Distribution.svg"
    priority = 120

    class Inputs:
        data = Input("Data", Orange.data.Table, doc="Set the input data set")

    settingsHandler = settings.DomainContextHandler(
        match_values=settings.DomainContextHandler.MATCH_VALUES_ALL)
    #: Selected variable index
    variable_idx = settings.ContextSetting(-1)
    #: Selected group variable
    groupvar_idx = settings.ContextSetting(0)

    relative_freq = settings.Setting(False)
    disc_cont = settings.Setting(False)

    smoothing_index = settings.Setting(5)
    show_prob = settings.ContextSetting(0)

    graph_name = "plot"

    ASH_HIST = 50

    bins = [2, 3, 4, 5, 8, 10, 12, 15, 20, 30, 50]
    smoothing_facs = list(reversed([0.1, 0.2, 0.4, 0.6, 0.8, 1, 1.5, 2, 4, 6, 10]))

    def __init__(self):
        super().__init__()
        self.data = None

        self.distributions = None
        self.contingencies = None
        self.var = self.cvar = None
        varbox = gui.vBox(self.controlArea, "Variable")

        self.varmodel = itemmodels.VariableListModel()
        self.groupvarmodel = []

        self.varview = QListView(
            selectionMode=QListView.SingleSelection)
        self.varview.setSizePolicy(
            QSizePolicy.Minimum, QSizePolicy.Expanding)
        self.varview.setModel(self.varmodel)
        self.varview.setSelectionModel(
            itemmodels.ListSingleSelectionModel(self.varmodel))
        self.varview.selectionModel().selectionChanged.connect(
            self._on_variable_idx_changed)
        varbox.layout().addWidget(self.varview)

        box = gui.vBox(self.controlArea, "Precision")

        gui.separator(self.controlArea, 4, 4)

        box2 = gui.hBox(box)
        self.l_smoothing_l = gui.widgetLabel(box2, "Smooth")
        gui.hSlider(box2, self, "smoothing_index",
                    minValue=0, maxValue=len(self.smoothing_facs) - 1,
                    callback=self._on_set_smoothing, createLabel=False)
        self.l_smoothing_r = gui.widgetLabel(box2, "Precise")

        self.cb_disc_cont = gui.checkBox(
            gui.indentedBox(box, sep=4),
            self, "disc_cont", "Bin numeric variables",
            callback=self._on_groupvar_idx_changed,
            tooltip="Show numeric variables as categorical.")

        box = gui.vBox(self.controlArea, "Group by")
        self.icons = gui.attributeIconDict
        self.groupvarview = gui.comboBox(
            box, self, "groupvar_idx",
            callback=self._on_groupvar_idx_changed,
            valueType=str, contentsLength=12)
        box2 = gui.indentedBox(box, sep=4)
        self.cb_rel_freq = gui.checkBox(
            box2, self, "relative_freq", "Show relative frequencies",
            callback=self._on_relative_freq_changed,
            tooltip="Normalize probabilities so that probabilities "
                    "for each group-by value sum to 1.")
        gui.separator(box2)
        self.cb_prob = gui.comboBox(
            box2, self, "show_prob", label="Show probabilities:",
            orientation=Qt.Horizontal,
            callback=self._on_relative_freq_changed,
            tooltip="Show probabilities for a chosen group-by value "
                    "(at each point probabilities for all group-by values sum to 1).")

        self.plotview = pg.PlotWidget(background=None)
        self.plotview.setRenderHint(QPainter.Antialiasing)
        self.mainArea.layout().addWidget(self.plotview)
        w = QLabel()
        w.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
        self.mainArea.layout().addWidget(w, Qt.AlignCenter)
        self.ploti = pg.PlotItem()
        self.plot = self.ploti.vb
        self.ploti.hideButtons()
        self.plotview.setCentralItem(self.ploti)

#.........这里部分代码省略.........

# 需要导入模块: from Orange.widgets.visualize.owlinearprojection import LegendItem [as 别名]
# 或者: from Orange.widgets.visualize.owlinearprojection.LegendItem import hide [as 别名]
class OWDistributions(widget.OWWidget):
    name = "Distributions"
    description = "Display value distributions of a data feature in a graph."
    icon = "icons/Distribution.svg"
    priority = 100
    inputs = [InputSignal("Data", Orange.data.Table, "set_data",
                          doc="Set the input data set")]

    settingsHandler = settings.DomainContextHandler()
    #: Selected variable index
    variable_idx = settings.ContextSetting(-1)
    #: Selected group variable
    groupvar_idx = settings.ContextSetting(0)

    Hist, ASH, Kernel = 0, 1, 2
    #: Continuous variable density estimation method
    cont_est_type = settings.Setting(ASH)
    relative_freq = settings.Setting(False)

    def __init__(self, parent=None):
        super().__init__(parent)
        self.data = None

        self.distributions = None
        self.contingencies = None
        self.var = self.cvar = None
        varbox = gui.widgetBox(self.controlArea, "Variable")

        self.varmodel = itemmodels.VariableListModel()
        self.groupvarmodel = itemmodels.VariableListModel()

        self.varview = QtGui.QListView(
            selectionMode=QtGui.QListView.SingleSelection)
        self.varview.setSizePolicy(
            QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Expanding)
        self.varview.setModel(self.varmodel)
        self.varview.setSelectionModel(
            itemmodels.ListSingleSelectionModel(self.varmodel))
        self.varview.selectionModel().selectionChanged.connect(
            self._on_variable_idx_changed)
        varbox.layout().addWidget(self.varview)
        gui.separator(varbox, 8, 8)
        gui.comboBox(
            varbox, self, "cont_est_type", label="Show continuous variables by",
            valueType=int,
            items=["Histograms", "Average shifted histograms",
                   "Kernel density estimators"],
            callback=self._on_cont_est_type_changed)

        box = gui.widgetBox(self.controlArea, "Group by")
        self.groupvarview = QtGui.QListView(
            selectionMode=QtGui.QListView.SingleSelection)
        self.groupvarview.setFixedHeight(100)
        self.groupvarview.setSizePolicy(
            QtGui.QSizePolicy.Minimum, QtGui.QSizePolicy.Preferred)
        self.groupvarview.setModel(self.groupvarmodel)
        self.groupvarview.selectionModel().selectionChanged.connect(
            self._on_groupvar_idx_changed)
        box.layout().addWidget(self.groupvarview)
        self.cb_rel_freq = gui.checkBox(
            box, self, "relative_freq", "Show relative frequencies",
            callback=self._on_relative_freq_changed)

        plotview = pg.PlotWidget(background=None)
        self.mainArea.layout().addWidget(plotview)
        w = QtGui.QLabel()
        w.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Fixed)
        self.mainArea.layout().addWidget(w, Qt.AlignCenter)

        self.plot = pg.PlotItem()
#         self.plot.getViewBox().setMouseEnabled(False, False)
        self.plot.getViewBox().setMenuEnabled(False)
        plotview.setCentralItem(self.plot)

        pen = QtGui.QPen(self.palette().color(QtGui.QPalette.Text))
        for axis in ("left", "bottom"):
            self.plot.getAxis(axis).setPen(pen)

        self._legend = LegendItem()
        self._legend.setParentItem(self.plot.getViewBox())
        self._legend.hide()
        self._legend.anchor((1, 0), (1, 0))

    def set_data(self, data):
        self.closeContext()
        self.clear()
        self.data = data
        if self.data is not None:
            domain = self.data.domain
            self.varmodel[:] = list(domain)
            self.groupvarmodel[:] = \
                ["(None)"] + [var for var in domain if var.is_discrete]
            if domain.has_discrete_class:
                self.groupvar_idx = \
                    list(self.groupvarmodel).index(domain.class_var)
            self.openContext(domain)
            self.variable_idx = min(max(self.variable_idx, 0),
                                    len(self.varmodel) - 1)
            self.groupvar_idx = min(max(self.groupvar_idx, 0),
                                    len(self.groupvarmodel) - 1)
#.........这里部分代码省略.........