本文介绍了在每个子图旁边绘制图例，Python的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
在注意到这个问题目前没有答案后，我想知道是否有人知道如何:
After noticing that there was no answer to this question at the moment, I would like to know if anyone has an idea how to:
- 每个子图都有一个图例.
- 按名称分组图例.(例如:对于不同的子图，都具有相同的两条曲线但具有不同的值).
这是我的 Plotly 脚本:
Here's my Plotly script:
from plotly import tools
import plotly.plotly as py
import plotly.graph_objs as go
import plotly
nom_plot=[]
trace1 = go.Scatter(x=[1, 2, 3], y=[4, 5, 6],name='1',showlegend=True)
nom_plot.append('GRAPH 1')
trace2 = go.Scatter(x=[20, 30, 40], y=[50, 60, 70],name='2',yaxis='y2')
nom_plot.append('GRAPH 2')
trace3 = go.Scatter(x=[300, 400, 500], y=[600, 700, 800],showlegend=False)
nom_plot.append('GRAPH 3')
trace4 = go.Scatter(x=[4000, 5000, 6000], y=[7000, 8000, 9000])
nom_plot.append('GRAPH 4')
trace5 = go.Scatter(x=[20, 30, 40], y=[50, 60, 70])
nom_plot.append('GRAPH 5')
print(trace1)
fig = tools.make_subplots(rows=4, cols=2, subplot_titles=(nom_plot))
fig.append_trace(trace1, 1, 1)
fig['layout']['xaxis1'].update(title='xaxis 1 title')
fig.append_trace(trace2, 1, 1)
fig.append_trace(trace3, 2, 1)
fig.append_trace(trace4, 2, 2)
fig['layout']['yaxis3'].update(title='yaxis 3 title')
fig.append_trace(trace5, 3, 1)
fig['layout']['yaxis2'].update(
overlaying='y1',
side='right',
anchor='x1',
# domain=[0.15, 1],
range=[2, 6],
# zeroline=False,
showline=True,
showgrid=False,
title='yaxis 3 title'
)
fig['layout'].update(height=1000, width=1000, title='Multiple Subplots' +' with Titles')
plotly.offline.plot(fig, filename='multiple-y-subplots6.html')
这是我得到的(使用上面的 Plotly 脚本):
This what I obtain (Using Plotly Script above):
这就是我想要的(Pygal 制作):
And this is what I want (Made by Pygal):
推荐答案
解决方案是创建一个 HTML 文件，将离线渲染为 html 文件的多个图表合并:
The solution is to create an HTML file that merge sevral charts offline rendered as html files:
import plotly
import plotly.offline as py
import plotly.graph_objs as go
fichier_html_graphs=open("DASHBOARD.html",'w')
fichier_html_graphs.write("<html><head></head><body>"+"
")
i=0
while 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>"+"
")
else:
break
fichier_html_graphs.write("</body></html>")
print("CHECK YOUR DASHBOARD.html In the current directory")
结果:
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