Python VariableListModel.sort方法代码示例

# 需要导入模块: from Orange.widgets.utils.itemmodels import VariableListModel [as 别名]
# 或者: from Orange.widgets.utils.itemmodels.VariableListModel import sort [as 别名]
class OWBoxPlot(widget.OWWidget):
    """
    Here's how the widget's functions call each other:

    - `set_data` is a signal handler fills the list boxes and calls
    `grouping_changed`.

    - `grouping_changed` handles changes of grouping attribute: it enables or
    disables the box for ordering, orders attributes and calls `attr_changed`.

    - `attr_changed` handles changes of attribute. It recomputes box data by
    calling `compute_box_data`, shows the appropriate display box
    (discrete/continuous) and then calls`layout_changed`

    - `layout_changed` constructs all the elements for the scene (as lists of
    QGraphicsItemGroup) and calls `display_changed`. It is called when the
    attribute or grouping is changed (by attr_changed) and on resize event.

    - `display_changed` puts the elements corresponding to the current display
    settings on the scene. It is called when the elements are reconstructed
    (layout is changed due to selection of attributes or resize event), or
    when the user changes display settings or colors.

    For discrete attributes, the flow is a bit simpler: the elements are not
    constructed in advance (by layout_changed). Instead, layout_changed and
    display_changed call display_changed_disc that draws everything.
    """
    name = "Box Plot"
    description = "Visualize the distribution of feature values in a box plot."
    icon = "icons/BoxPlot.svg"
    priority = 100
    keywords = ["whisker"]

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

    class Outputs:
        selected_data = Output("Selected Data", Orange.data.Table, default=True)
        annotated_data = Output(ANNOTATED_DATA_SIGNAL_NAME, Orange.data.Table)

    #: Comparison types for continuous variables
    CompareNone, CompareMedians, CompareMeans = 0, 1, 2

    settingsHandler = DomainContextHandler()
    conditions = ContextSetting([])

    attribute = ContextSetting(None)
    order_by_importance = Setting(False)
    group_var = ContextSetting(None)
    show_annotations = Setting(True)
    compare = Setting(CompareMeans)
    stattest = Setting(0)
    sig_threshold = Setting(0.05)
    stretched = Setting(True)
    show_labels = Setting(True)
    sort_freqs = Setting(False)
    auto_commit = Setting(True)

    _sorting_criteria_attrs = {
        CompareNone: "", CompareMedians: "median", CompareMeans: "mean"
    }

    _pen_axis_tick = QPen(Qt.white, 5)
    _pen_axis = QPen(Qt.darkGray, 3)
    _pen_median = QPen(QBrush(QColor(0xff, 0xff, 0x00)), 2)
    _pen_paramet = QPen(QBrush(QColor(0x33, 0x00, 0xff)), 2)
    _pen_dotted = QPen(QBrush(QColor(0x33, 0x00, 0xff)), 1)
    _pen_dotted.setStyle(Qt.DotLine)
    _post_line_pen = QPen(Qt.lightGray, 2)
    _post_grp_pen = QPen(Qt.lightGray, 4)
    for pen in (_pen_paramet, _pen_median, _pen_dotted,
                _pen_axis, _pen_axis_tick, _post_line_pen, _post_grp_pen):
        pen.setCosmetic(True)
        pen.setCapStyle(Qt.RoundCap)
        pen.setJoinStyle(Qt.RoundJoin)
    _pen_axis_tick.setCapStyle(Qt.FlatCap)

    _box_brush = QBrush(QColor(0x33, 0x88, 0xff, 0xc0))

    _axis_font = QFont()
    _axis_font.setPixelSize(12)
    _label_font = QFont()
    _label_font.setPixelSize(11)
    _attr_brush = QBrush(QColor(0x33, 0x00, 0xff))

    graph_name = "box_scene"

    def __init__(self):
        super().__init__()
        self.stats = []
        self.dataset = None
        self.posthoc_lines = []

        self.label_txts = self.mean_labels = self.boxes = self.labels = \
            self.label_txts_all = self.attr_labels = self.order = []
        self.scale_x = self.scene_min_x = self.scene_width = 0
        self.label_width = 0

        self.attrs = VariableListModel()
        view = gui.listView(
#.........这里部分代码省略.........