23
votes

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.

3
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-textChris P
@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.ChrisDevWard
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.Chris P
@ChrisP That worked, thanks!ChrisDevWard
Only managed to do it skipping the Data object from Scatter(dict) directly to Figure(also dict).olivervbk

3 Answers

36
votes

On your trace add: hoverinfo='skip'

trace = dict(
             x=[1,2,3,4],
             y=[1,2,3,4],
             hoverinfo='skip'
            )
7
votes
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
1
votes

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.