[Parallel plot for ranked data] #plotly #ranking #pandas

parallel_plot.py

import plotly.express as px
df = px.data.iris()
fig = px.parallel_coordinates(df, color="species_id",
                              dimensions=['sepal_width', 'sepal_length', 'petal_width',
                                          'petal_length'],
                              color_continuous_scale=px.colors.diverging.Tealrose,
                              color_continuous_midpoint=2)
fig.show()

#-----------------------------------

import plotly.graph_objects as go

fig = go.Figure(data=
    go.Parcoords(
        line_color=['black', 'orange'],
        dimensions = list([
            dict(range = [top_netflow_comp.person_net_flow_2019.min(),top_netflow_comp.person_net_flow_2019.max()],
                 tickvals =  top_netflow_comp.person_net_flow_2019,
                 label = '2019', values = top_netflow_comp.person_net_flow_2019,
                 ticktext = top_netflow_comp.state_name),
            dict(range = [top_netflow_comp.person_net_flow_2020.min(),top_netflow_comp.person_net_flow_2020.max()],
                 tickvals =  top_netflow_comp.person_net_flow_2020,
                 label = '2020', values = top_netflow_comp.person_net_flow_2020,
                 ticktext = top_netflow_comp.state_name),
        ])
    )
)

fig.update_layout(
    plot_bgcolor = 'white',
    paper_bgcolor = 'white',
    height=1500,
    width=700,
    title='Net flow in 2019 vs 2020'
)


fig.show()