Disable hover information on trace, plotly
Asked Answered
B

5

44

I'm currently using the plotly service to graph some water quality data. I've added some lines to represent the the various stages of water quality, with them shaded so they are green, yellow, and red.

I've been able to remove some unnecessary lines from the legend, but they still show up when hovering over the data. I've looked here text and annotations but when trying to use the "hoverinfo" parameter, I get a

"plotly.exceptions.PlotlyDictKeyError: Invalid key, 'hoverinfo', for class, 'Scatter'."

error. Is there an alternative way to doing this for the Scatter plot? So far I've looked and have found nothing too helpful.

Here is how I'm currently trying to set up the trace:

badNTULevel = Scatter(                                                                              
x=[],                                                                                           
y=[100],                                                                                        
mode='lines',                                                                                   
line=Line(                                                                                      
    opacity=0.5,                                                                                
    color='rgb(253,172,79)',                                                                    
    width=1,                                                                                    
),                                                                                              
stream=Stream(                                                                                  
    token=stream_ids[3],                                                                        
    maxpoints=80                                                                                
),                                                                                              
hoverinfo='none',                                                                               
fill='tonexty',                                                                                 
name="Water Treatment Plants Can't Process over 100"
)                                        

Any help would be appreciated.

Busywork answered 31/8, 2015 at 20:39 Comment(5)
You'll have to add the "validate=False" to your plot call and use dict instead of Scatter. That'll bypass the validation error that you're seeing. See this example for more: plot.ly/python/text-and-annotations/#disabling-hover-textProgression
@ChrisP I just had a chance to try that. Unfortunately it's still giving the same error, even with the validation set to false. Please see this larger code snippet here It's throwing the error on line 134.Busywork
OK, also change Figure to dict (it's just a simple subclass anyway). Long story short, the validation outdates the featured keys, which causes validation errors whenever a subclassed dict from plotly.graph_objs is used.Progression
@ChrisP That worked, thanks!Busywork
Only managed to do it skipping the Data object from Scatter(dict) directly to Figure(also dict).Shagbark
E
69

On your trace add: hoverinfo='skip'

trace = dict(
             x=[1,2,3,4],
             y=[1,2,3,4],
             hoverinfo='skip'
            )
Edmead answered 4/2, 2019 at 23:44 Comment(0)
W
11
from plotly.offline import plot
import plotly.graph_objs as go

def spline(x_axis,loop):

     trace = go.Scatter(
        x = x_axis,
        y = loop[i],
        fill = 'tonexty',
        mode ='lines',
        showlegend = False,
        hoverinfo='none'
        )

    data = [trace]



    layout = go.Layout(
        title='Graph title here',
        height=600,
        xaxis=dict(
            autorange=True
        ),
        yaxis=dict(
            autorange=True
        )
    )
    fig = go.Figure(data=data, layout=layout)
    # plot(fig, filename='spline.html')
    plot_div = plot(fig, output_type='div', include_plotlyjs=False)
    return plot_div
Weisburgh answered 23/1, 2017 at 10:25 Comment(4)
@Shinto_Joseph Could you add some explanation to your codeAmbivalence
its written as a function... spline_graph = plots.spline(x_axis,loop,column,spline_percent,final_row) .this way you will get a script into variable spline_graph which you can pass and display into the html page using ajax without refreshing the page.Weisburgh
in the above code just give the input for x axis and loop is just the y axis.showlegend = False, hoverinfo='none' will disable the hover and legendsWeisburgh
you have to import this from plotly.offline import plot import plotly.graph_objs as go and add go with the scatter like the above exampleWeisburgh
G
7

If you use plotly.express, you can use this line, instead:

fig.update_layout(hovermode=False)
Glissando answered 31/10, 2022 at 19:56 Comment(0)
B
3

A more general-purpose solution may be to set the Layout 'hovermode' property, as follows:

#...
layout = go.Layout(hovermode=False)
fig = go.Figure(data=data, layout=layout)
#...

Reference for Python here: https://plot.ly/python/reference/#layout

NB: This will disable hover text for all traces associated with that layout... May not be the desired behaviour.

Bigener answered 24/1, 2019 at 11:40 Comment(0)
W
0

For plotly express:

fig.update_traces(hoverinfo='skip', hovertemplate=None)
Workaday answered 19/7, 2024 at 2:24 Comment(0)

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