RAPIDS cuxfilter double graph dashboard

cuxfilter-dash.py

# Dashboard 
# Full example from https://github.com/rapidsai-community/showcase/tree/main/team_contributions/cuxfilter-tutorial

# Data
cux_df = cuxfilter.DataFrame.load_graph((final_df, edges))

# Charts
chart1 = cuxfilter.charts.graph(
          edge_source='src', edge_target='dst',
          edge_color_palette=['gray', 'black'],
          ode_pixel_shade_type='linear',
          edge_render_type='curved', #curved, direct
          edge_transparency=0.6, #0.1 - 0.9
          title='ForceAtlas2 Graph'
      )
chart2 = cuxfilter.charts.scatter(
        x='x_original', y='y_original', 
        tile_provider='CARTODBPOSITRON',
        point_size=4,
        pixel_shade_type='linear',
        pixel_spread='spread',
        title='Scatter Layout'
      )
chart3 = cuxfilter.charts.bar('hour', title='Trips per hour')
chart4 = cuxfilter.charts.bar('from_station_id', title='Source station')
chart5 = cuxfilter.charts.bar('to_station_id', title='Destination station')

# Widgets
widget1 = cuxfilter.charts.multi_select('year')
widget2 = cuxfilter.charts.multi_select('day_type', label_map={0:'weekday', 1:'weekend', '':'all'})

# Layout Grid
layout_array_3rds = [[1,1,2],[1,1,2],[3,4,5]]

# Generate Dashboard
d = cux_df.dashboard([chart1, chart2, chart3, chart4, chart5], 
                      sidebar=[widget1, widget2], 
                      layout_array = layout_array_3rds, 
                      theme=cuxfilter.themes.rapids, 
                      title="Network and Geospatial Graph")
# Show
d.show()

Snippet from full example on https://github.com/rapidsai-community/showcase/tree/main/team_contributions/cuxfilter-tutorial