How to use the ipyvuetify.Layout function in ipyvuetify

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github vaexio / vaex / packages / vaex-plotly / vaex / plotly / __init__.py View on Github external
# 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()
        # The widget for the temporary output of the progressbar
        _widget_progress_output = widgets.Output()

        if isinstance(x, list) is False:
            x = [x]
        x = _ensure_strings_from_expressions(x)
        num_traces = len(x)
        # make consistency checks
        args = self._arg_len_check(num_traces, shape=shape, color=color, lw=lw, ls=ls,
                                   label=label, selection=selection)
github vaexio / vaex / packages / vaex-jupyter / vaex / jupyter / viz.py View on Github external
marks = self.fig.marks
                self.fig.marks = []
                self.fig.marks = marks

    # def _ipython_display_(self):
    #     display(widgets.VBox([self.fig, self.output]))


class VizHistogramBqplot(VizBaseBqplot):
    type_name = 'Histogram'
    icon = ICON_HISTOGRAM

    state = traitlets.Instance(VizHistogramState)
    normalize = traitlets.Bool(False)

    class Control(v.Layout):
        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.normalize = v.Checkbox(v_model=self.viz.normalize, label='normalize')
            widgets.link((self.viz, 'normalize'), (self.normalize, 'v_model'))

            self.min = widgets.FloatText(description='min')
            self.max = widgets.FloatText(description='max')
            widgets.link((self.viz.state, 'x_min'), (self.min, 'value'))
            widgets.link((self.viz.state, 'x_max'), (self.max, 'value'))
github vaexio / vaex / packages / vaex-plotly / vaex / plotly / __init__.py View on Github external
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,
                                                                      _widget_selection_mode,
                                                                      _widget_history_box])
        # The output widget
        _widget_output = widgets.Output()
        # The widget for the temporary output of the progressbar
        _widget_progress_output = widgets.Output()

        #  Creating the plotly figure, which is also a widget
        x = _ensure_string_from_expression(x)
        y = _ensure_string_from_expression(y)

        binby = []
        for expression in [y, x]:
github vaexio / vaex / packages / vaex-jupyter / vaex / jupyter / viz.py View on Github external
def control(self):
        if self._control is None:
            self._control = type(self).Control(self)
        return self._control
        
    def _ipython_display_(self):
        display(self.widget)

class VizHeatmapBqplot(VizBaseBqplot):
    type_name = 'Heatmap'
    icon = ICON_HEATMAP

    state = traitlets.Instance(VizHeatmapState)
    normalize = traitlets.Bool(False)

    class Control(v.Layout):
        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
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()

        # Set up all the links and interactive actions
        @_widget_output.capture(clear_output=True)
        def _selection(trace, points, selector):
            i = _widget_selection_space.v_model
            if isinstance(selector, plotly.callbacks.BoxSelector):
                limits = [selector.xrange, selector.yrange]
                print(i, x, y, limits)
                self.df.select_rectangle(x=x[i], y=y[i], limits=limits, mode=_widget_selection_mode.value)
            elif isinstance(selector, plotly.callbacks.LassoSelector):
                self.df.select_lasso(expression_x=x[i], expression_y=y[i],