How to use the ipyvuetify.Select function in ipyvuetify

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github vaexio / vaex / packages / vaex-plotly / vaex / plotly / __init__.py View on Github external
:param figure_height: The figure height in pix
        :param figure_width: The figure width in pix
        :param equal_aspect: If True, the axis will have a scale ratio of 1 (equal aspect)
        :param progress: If True, display a progress bar of the binning process
        :return plotly.graph_objs._figurewidget.FigureWidget fig: a plotly FigureWidget
        """

        import plotly.graph_objs as go
        import plotly.callbacks

        # Define the widget components
        _widget_progress = widgets.FloatProgress(value=0.0, min=0.0, max=1.0, step=0.01,
                                                 layout={'width': '95%', 'max_width': '500pix'},
                                                 description='progress')

        _widget_f = vue.Select(items=['identity', 'log', 'log10', 'log1p'], v_model=f or 'identity', label='Transform')
        _widget_vmin = widgets.FloatSlider(value=0, min=0, max=100, step=0.1, description='vmin%')
        _widget_vmax = widgets.FloatSlider(value=100, min=0, max=100, step=0.1, description='vmax%')
        _widget_selection = widgets.ToggleButtons(options=['default'], description='selection')
        _widget_selection_mode = widgets.ToggleButtons(options=['replace', 'and', 'or', 'xor', 'subtract'],
                                                       value='replace',
                                                       description='mode')
        _widget_selection_undo = widgets.Button(description='undo', icon='arrow-left')
        _widget_selection_redo = widgets.Button(description='redo', icon='arrow-right')
        _widget_history_box = widgets.HBox(children=[widgets.Label('history', layout={'width': '80px'}),
                                                     _widget_selection_undo,
                                                     _widget_selection_redo])
        # Put them together in the control-widget: this is what is contained within the navigation drawer
        control_widget = vue.Layout(pa_1=True, column=True, children=[_widget_f,
                                                                      _widget_vmin,
                                                                      _widget_vmax,
                                                                      _widget_selection,
github vaexio / vaex / packages / vaex-jupyter / vaex / jupyter / viz.py View on Github external
def __init__(self, viz):
            super(type(self), self).__init__(column=True)
            self.viz = viz
            self.ds = self.viz.state.ds
            column_names = self.ds.get_column_names()
            self.x = v.Select(items=column_names, v_model=self.viz.state.x_expression, label='x axis')
            widgets.link((self.viz.state, 'x_expression'), (self.x, 'v_model'))

            self.y = v.Select(items=column_names, v_model=self.viz.state.y_expression, label='y axis')
            widgets.link((self.viz.state, 'y_expression'), (self.y, 'v_model'))

            self.normalize = v.Checkbox(label='normalize', v_model=self.viz.normalize)
            widgets.link((self.viz, 'normalize'), (self.normalize, 'v_model'))
            

            self.children = [self.x, self.y, self.normalize]
github vaexio / vaex / packages / vaex-plotly / vaex / plotly / __init__.py View on Github external
:param figure_height: The figure height in pix
        :param figure_width: The figure width in pix
        :param xlabel: String for label on x axis
        :param ylabel: Same for y axis
        :param label: labels or names for the data being plotted
        :param title: the plot title
        :param selection: Name of selection to use (or True for the 'default'), or a selection-like expresson
        :param progress: If True, display a progress bar of the binning process
        :return plotly.graph_objs._figurewidget.FigureWidget fig: a plotly FigureWidget
        """

        import plotly.graph_objs as go
        import plotly.callbacks

        # Define the widget components
        _widget_f = vue.Select(items=['identity', 'log', 'log10', 'log1p'], v_model=f or 'identity', label='Transform')
        _widget_selection = widgets.ToggleButtons(options=['default'], description='selection')
        _items = [{'text': xexpr, 'value': i} for i, xexpr in enumerate(x)]
        _widget_selection_space = vue.Select(items=_items, v_model=0, label='Expression')
        _widget_selection_mode = widgets.ToggleButtons(options=['replace', 'and', 'or', 'xor', 'subtract'],
                                                       value='replace',
                                                       description='mode')
        _widget_selection_undo = widgets.Button(description='undo', icon='arrow-left')
        _widget_selection_redo = widgets.Button(description='redo', icon='arrow-right')
        _widget_history_box = widgets.HBox(children=[widgets.Label('history', layout={'width': '80px'}),
                                                     _widget_selection_undo,
                                                     _widget_selection_redo])
        # Put them together in the control-widget: this is what is contained within the navigation drawer
        control_widget = vue.Layout(pa_1=True, column=True, children=[_widget_f,
                                                                      _widget_selection_space,
                                                                      _widget_selection,
                                                                      _widget_selection_mode,
github vaexio / vaex / packages / vaex-jupyter / vaex / jupyter / viz.py View on Github external
def __init__(self, viz):
            super(type(self), self).__init__(column=True)
            self.viz = viz
            self.ds = self.viz.state.ds
            column_names = self.ds.get_column_names()
            self.x = v.Select(items=column_names, v_model=self.viz.state.x_expression, label='x axis')
            widgets.link((self.viz.state, 'x_expression'), (self.x, 'v_model'))

            self.y = v.Select(items=column_names, v_model=self.viz.state.y_expression, label='y axis')
            widgets.link((self.viz.state, 'y_expression'), (self.y, 'v_model'))

            self.normalize = v.Checkbox(label='normalize', v_model=self.viz.normalize)
            widgets.link((self.viz, 'normalize'), (self.normalize, 'v_model'))
            

            self.children = [self.x, self.y, self.normalize]
github vaexio / vaex / packages / vaex-plotly / vaex / plotly / __init__.py View on Github external
:param ylabel: Same for y axis
        :param label: labels or names for the data being plotted
        :param title: the plot title
        :param selection: Name of selection to use (or True for the 'default'), or a selection-like expresson
        :param progress: If True, display a progress bar of the binning process
        :return plotly.graph_objs._figurewidget.FigureWidget fig: a plotly FigureWidget
        """

        import plotly.graph_objs as go
        import plotly.callbacks

        # Define the widget components
        _widget_f = vue.Select(items=['identity', 'log', 'log10', 'log1p'], v_model=f or 'identity', label='Transform')
        _widget_selection = widgets.ToggleButtons(options=['default'], description='selection')
        _items = [{'text': xexpr, 'value': i} for i, xexpr in enumerate(x)]
        _widget_selection_space = vue.Select(items=_items, v_model=0, label='Expression')
        _widget_selection_mode = widgets.ToggleButtons(options=['replace', 'and', 'or', 'xor', 'subtract'],
                                                       value='replace',
                                                       description='mode')
        _widget_selection_undo = widgets.Button(description='undo', icon='arrow-left')
        _widget_selection_redo = widgets.Button(description='redo', icon='arrow-right')
        _widget_history_box = widgets.HBox(children=[widgets.Label('history', layout={'width': '80px'}),
                                                     _widget_selection_undo,
                                                     _widget_selection_redo])
        # Put them together in the control-widget: this is what is contained within the navigation drawer
        control_widget = vue.Layout(pa_1=True, column=True, children=[_widget_f,
                                                                      _widget_selection_space,
                                                                      _widget_selection,
                                                                      _widget_selection_mode,
                                                                      _widget_history_box])
        # The output widget
        _widget_output = widgets.Output()
github glue-viz / glue-jupyter / glue_jupyter / widgets / linked_dropdown.py View on Github external
if choice is value:
                    self.value = value
                    break
            else:
                if isinstance(value, str):
                    for i, label in enumerate(self._labels):
                        if label == value:
                            self.value = self._choices[i]
                            break
                    else:
                        self.value = None
                else:
                    self.value = None


class LinkedDropdownVuetify(v.Select):
    """
    A dropdown widget that is automatically linked to a SelectionCallbackProperty
    and syncs changes both ways.

    * On glue's side the state is in state..
    * On the UI the state is in widget_select.value which holds the index of the selected item.
    * Indices are (for the moment) calculated from a list of choices (ignoring separators)
    """

    def __init__(self, state, attribute_name, ui_name=None, label=None):

        if label is None:
            label = ui_name

        super().__init__(label=label)
github vaexio / vaex / packages / vaex-plotly / vaex / plotly / __init__.py View on Github external
title = go.layout.Title(text=title, xanchor='center', x=0.5, yanchor='top')
        layout = go.Layout(height=figure_height,
                           width=figure_width,
                           legend=legend,
                           title=title,
                           xaxis=go.layout.XAxis(title=xlabel or x[0]),
                           yaxis=go.layout.YAxis(title=ylabel or y[0],
                                                 scaleanchor='x',
                                                 scaleratio=1))

        fig = go.FigureWidget(data=traces, layout=layout)

        # Define the widget components
        _widget_selection = widgets.ToggleButtons(options=['default'], description='selection')
        _items = [{'text': xexpr + ' -vs-  ' + yexpr, 'value': i} for i, (xexpr, yexpr) in enumerate(zip(x, y))]
        _widget_selection_space = vue.Select(items=_items, v_model=0, label='selection space')
        _widget_selection_mode = widgets.ToggleButtons(options=['replace', 'and', 'or', 'xor', 'subtract'],
                                                       value='replace',
                                                       description='mode')
        _widget_selection_undo = widgets.Button(description='undo', icon='arrow-left')
        _widget_selection_redo = widgets.Button(description='redo', icon='arrow-right')
        _widget_history_box = widgets.HBox(children=[widgets.Label('history', layout={'width': '80px'}),
                                                     _widget_selection_undo,
                                                     _widget_selection_redo])
        # Put them together in the control-widget: this is what is contained within the navigation drawer
        control_widget = vue.Layout(pa_1=True, column=True, children=[_widget_selection_space,
                                                                      _widget_selection,
                                                                      _widget_selection_mode,
                                                                      _widget_history_box])
        # The output widget
        _widget_output = widgets.Output()