Ejemplo n.º 1
0
    reusable.Row([
        html.A(
            className='image-link',
            href='https://dash.plot.ly/getting-started',
            children=html.Img(
                src='https://github.com/plotly/dash-docs/raw/master/images/gapminder-animation.gif',
                alt='Screenshot of simple Dash app'
            )
        ),

        dcc.Markdown(
            className="markdown-links",
            children=dedent('''
            [View the getting started guide](https://dash.plot.ly/getting-started)
            ''')
        ),

        dcc.Markdown(dedent('''

        The [Dash Getting Started Guide](/getting-started) contains
        many applications that range in complexity.

        The first interactive app that you'll create combines a `Slider`
        with a `Graph` and filters data using a Pandas `DataFrame`.
        The `animate` property in the `Graph` component was set to `True`
        so that the points transition smoothly.
        Some interactivity is built into the `Graph` component, including
        hovering over values, clicking on legend items to toggle traces, and
        zooming into regions.

        ''')),
    ]),
Ejemplo n.º 2
0
    ## Getting Started
    ''')),
        reusable.Row([
            html.
            A(className='image-link',
              href='https://dash.plot.ly/getting-started',
              children=html.Img(
                  src=
                  'https://github.com/plotly/dash-docs/raw/master/images/gapminder-animation.gif',
                  alt='Screenshot of simple Dash app')),
            dcc.Markdown(className="markdown-links",
                         children=dedent('''
            [View the getting started guide](https://dash.plot.ly/getting-started)
            ''')),
            dcc.Markdown(
                dedent('''
        
        The [Dash Getting Started Guide](/getting-started) contains
        many applications that range in complexity.
    
        The first interactive app that you'll create combines a `Slider`
        with a `Graph` and filters data using a Pandas `DataFrame`.
        The `animate` property in the `Graph` component was set to `True`
        so that the points transition smoothly.
        Some interactivity is built-in to the `Graph` component including
        hovering over values, clicking on legend items to toggle traces, and
        zooming into regions.
    
        ''')),
        ]),

        # FINANCE SECTION
Ejemplo n.º 3
0
            html.Img(id="no-gch-x-normal", style={"width": "100%"}),
            rc.CardTitle("Cross (Y-Normal) Cut Plane"),
            html.Img(id="no-gch-y-normal", style={"width": "100%"}),
        ]
    )
)

app.layout = html.Div(
    style={"--slider_active": "teal"},
    # className="container",
    children=[
        navbar,
        html.Br(),
        rc.Row(
            rc.Col(
                rc.Card(rc.CardContent(rc.Row([rc.Col(c, width=3) for c in controls]))),
                width=12,
            )
        ),
        rc.Row(
            [
                rc.Col([html.H4("Results with GCH"), left_section], width=6),
                rc.Col([html.H4("Results without GCH"), right_section], width=6),
            ]
        ),
    ],
)


@app.callback(
    Output("gch-horizontal", "src"),
    Output("gch-x-normal", "src"),