Python plotly.graph_objs 模块，Marker() 实例源码

def _make_violin_rugplot(vals, pdf_max, distance,
                             color='#1f77b4'):
        """
        Returns a rugplot fig for a violin plot.
        """
        from plotly.graph_objs import graph_objs

        return graph_objs.Scatter(
            y=vals,
            x=[-pdf_max-distance]*len(vals),
            marker=graph_objs.Marker(
                color=color,
                symbol='line-ew-open'
            ),
            mode='markers',
            name='',
            showlegend=False,
            hoverinfo='y'
        )

def _update_graph(map_style, region):
    dff = dataframe
    radius_multiplier = {'inner': 1.5, 'outer': 3}

    layout = go.Layout(
        title=metadata['title'],
        autosize=True,
        hovermode='closest',
        height=750,
        font=dict(family=theme['font-family']),
        margin=go.Margin(l=0, r=0, t=45, b=10),
        mapbox=dict(
            accesstoken=mapbox_access_token,
            bearing=0,
            center=dict(
                lat=regions[region]['lat'],
                lon=regions[region]['lon'],
            ),
            pitch=0,
            zoom=regions[region]['zoom'],
            style=map_style,
        ),
    )

    data = go.Data([
        # outer circles represent magnitude
        go.Scattermapbox(
            lat=dff['Latitude'],
            lon=dff['Longitude'],
            mode='markers',
            marker=go.Marker(
                size=dff['Magnitude'] * radius_multiplier['outer'],
                colorscale=colorscale_magnitude,
                color=dff['Magnitude'],
                opacity=1,
            ),
            text=dff['Text'],
            # hoverinfo='text',
            showlegend=False,
        ),
        # inner circles represent depth
        go.Scattermapbox(
            lat=dff['Latitude'],
            lon=dff['Longitude'],
            mode='markers',
            marker=go.Marker(
                size=dff['Magnitude'] * radius_multiplier['inner'],
                colorscale=colorscale_depth,
                color=dff['Depth'],
                opacity=1,
            ),
            # hovering behavior is already handled by outer circles
            hoverinfo='skip',
            showlegend=False
        ),
    ])

    figure = go.Figure(data=data, layout=layout)
    return figure