if show_clusters:
cluster_labels = Inspector.cluster_labels(data=df_results,
span=3,
t=step_clustering)
#df_results['cluster']=df_results.agent.apply(lambda i: cluster_labels[i])
else:
cluster_labels = []
# MAIN PAGE
st.subheader('Opinion trajectories of all agents')
fig = Inspector.detailed_plots(
config=configrun,
data=df_results,
highlight_agents=[agent_focus],
highlight_range=[step_focus - 1, step_focus + 1],
clusters=cluster_labels,
legend=None)
st.pyplot(fig)
#st.write(df_results.head())
st.subheader('Perspective of the selected agent')
#st.dataframe(Inspector.get_persp(data=df_results, display_agent=agent_focus, step=step_focus))
components.html(html_perspective, height=600, scrolling=True)
st.subheader('Parameters')
