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How do I add vertical moving hover line to my plotly chart

I am trying to achieve what is done here: https://www.quantalys.com/Fonds/120955 with javascript in python plotly. I want to add the hover vertical line and the red annotation on the x axis. I have done some searching on goolgle but I couldn't find the the answer I'm looking for. My current chart looks like this:

trace1 = go.Scatter(
x = df1.x,
y = df1.y,
name = "M&G OPTIMAL INCOME FD EUR AH ACC",
hoverinfo= 'name',
opacity=0.7,
mode = 'lines',
    line = dict(
    color = ('rgb(2, 12, 245)'),
    width = 1,
    ), 
)
trace2 = go.Scatter(
x = df2.x,
y = df2.y,
opacity=0.7,
name = "Alloc Flexible Prudent Monde",
hoverinfo= 'name',
mode = 'lines',
    line = dict(
    color = ('rgb(67, 45, 24)'),
    width = 1,
    )
)
trace3 = go.Scatter(
x = df3.x,
y = df3.y,
name = "25% MSCI World + 75% ML Global",
hoverinfo= 'name',
mode = 'lines',
opacity=0.7,
line = dict(
    color = ('rgb(205, 12, 24)'),
    width = 1,
    )
)

layout = go.Layout(

xaxis=dict(        
    showline=True,
    showgrid=True,
    showticklabels=True,
    linecolor='rgb(204, 204, 204)',
    linewidth=2,
    mirror=True,
),
yaxis=dict(
            showline=True,
    showgrid=True,
    showticklabels=True,
    linecolor='rgb(204, 204, 204)',
    linewidth=2,
    mirror=True,
),
showlegend=True,

)

data= [trace1, trace2,trace3]
fig = dict(data=data, layout=layout)
iplot(fig, filename='line-mode')
like image 272
Stephinext Avatar asked Jan 01 '23 02:01

Stephinext


1 Answers

Add this to your layout definition.

showlegend = True,
hovermode  = 'x'

Add this to your xaxis definition.

showspikes = True,
spikemode  = 'across',
spikesnap = 'cursor',
showline=True,
showgrid=True,
...

And add this to your layout definition:

spikedistance =  -1,
xaxis=dict(...  

Please refer to this post and the documentation by plotly. :)

EDIT

You ask for the x-axis lable. Please use

spikemode  = 'across+toaxis'

Additionally I would suggest to use

spikedash = 'solid'

because it is better fitting your example.

like image 118
Mike_H Avatar answered Jan 13 '23 12:01

Mike_H