belkacem mekakleb
belkacem mekakleb

Reputation: 604

Plotly legend next to each subplot, Python

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:

  1. Have a legends for each subplot.
  2. Group legends by name. (Ex: for different subplots, all have the same two curves but with different values).

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')

This what I obtain (Using Plotly Script above):

Exemple Made by using Plotly

And this is what I want (Made by Pygal):

Exemple Made by using Pygal

Upvotes: 12

Views: 17637

Answers (2)

Ali
Ali

Reputation: 121

I used two side by side Div elements to emulate Plotly subplot. Doing this way, we have independent legends. However, if we want to share an axis, we should do it manually:

app.layout = html.Div(children=[
        html.Div(['YOUR FIRST GRAPH OBJECT'],
                 style = {'float':'left', 'width':'49%'}) ,
        html.Div(['YOUR SECOND GRAPH OBJECT'],
                 style = {'float':'right', 'width':'49%'})   
                ])

Upvotes: 3

belkacem mekakleb
belkacem mekakleb

Reputation: 604

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>"+"\n")

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>"+"\n")
    else:
        break

fichier_html_graphs.write("</body></html>")
print("CHECK YOUR DASHBOARD.html In the current directory")

Result: enter image description here

Upvotes: 10

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