stock-correlations-plotly2.py

# ---------------------------------------
# Plot graph
# ---------------------------------------

# edges
tracer = go.Scatter(x=Xedges, y=Yedges,
                    mode='lines',
                    line= dict(color='#DCDCDC', width=1),
                    hoverinfo='none',
                    showlegend=False)


# nodes
tracer_marker = go.Scatter(x=Xnodes, y=Ynodes,
                           mode='markers+text',
                           textposition='top center',
                           marker=dict(size=node_size,
                                            line=dict(width=1),
                                            color=node_colour),
                           hoverinfo='text',
                           hovertext=description,
                           text=node_label,
                           textfont=dict(size=7),
                           showlegend=False)


axis_style = dict(title='',
                  titlefont=dict(size=20),
                  showgrid=False,
                  zeroline=False,
                  showline=False,
                  ticks='',
                  showticklabels=False)


layout = dict(title='Plotly - interactive minimum spanning tree',
              width=800,
              height=800,
              autosize=False,
              showlegend=False,
              xaxis=axis_style,
              yaxis=axis_style,
              hovermode='closest',
             plot_bgcolor = '#fff')


fig = dict(data=[tracer, tracer_marker], layout=layout)

display(HTML("""<p>Node sizes are proportional to the size of annualised returns.<br>
                Node colours signify positive or negative returns since beginning of the timeframe.</p> """))
iplot(fig)