您可以获得一个仪表板，其中包含几个图表，每个图表旁边都有图例：
import plotlyimport plotly.offline as pyimport plotly.graph_objs as gofichier_html_graphs=open("DASHBOARD.html",'w')fichier_html_graphs.write("<html><head></head><body>"+"n")i=0while 1: if i<=40: i=i+1 #______________________________--Plotly--______________________________________ color1 = '#00bfff' color2 = '#ff4000' trace1 = go.Bar( x = ['2017-09-25','2017-09-26','2017-09-27','2017-09-28','2017-09-29','2017-09-30','2017-10-01'], y = [25,100,20,7,38,170,200], name='Debit', marker=dict( color=color1 ) ) trace2 = go.Scatter( x=['2017-09-25','2017-09-26','2017-09-27','2017-09-28','2017-09-29','2017-09-30','2017-10-01'], y = [3,50,20,7,38,60,100], name='Taux', yaxis='y2' ) data = [trace1, trace2] layout = go.Layout( title= ('Chart Number: '+str(i)), titlefont=dict( family='Courier New, monospace', size=15, color='#7f7f7f' ), paper_bgcolor='rgba(0,0,0,0)', plot_bgcolor='rgba(0,0,0,0)', yaxis=dict( title='Bandwidth Mbit/s', titlefont=dict( color=color1 ), tickfont=dict( color=color1 ) ), yaxis2=dict( title='Ratio %', overlaying='y', side='right', titlefont=dict( color=color2 ), tickfont=dict( color=color2 ) ) ) fig = go.Figure(data=data, layout=layout) plotly.offline.plot(fig, filename='Chart_'+str(i)+'.html',auto_open=False) fichier_html_graphs.write(" <object data=""+'Chart_'+str(i)+'.html'+"" width="650" height="500"></object>"+"n") else: breakfichier_html_graphs.write("</body></html>")print("CHECK YOUR DASHBOARD.html In the current directory")结果：
