Editing the legend symbols

📊 Plotly Python
1

I’ve been using Plotly for a while now and it’s great! However, I’ve ran into a bit of an issue recently and I just can’t find an answer.

I’m plotting out multiple traces to create a bubble chart (example of one below) and to get data labels on I’ve set mode=‘markers+text’. However, now when it plots, the legend symbols show the colour dot for my bubble chart, but also show Aa underneath it. For one of the groups, I’ve set the textposition=‘bottom right’, and as you can see the legend symbol has followed suit! I want to be able to just remove the Aa below the colour marker, is this easily achieved? I know an alternative is to use annotations instead of markers+text, but I was wondering if it’s at all possible to edit these. Thanks!

trace0 = go.Scatter(
x=df[df['CustomerCategory'] == 'A']['freqprop'],
y=df[df['CustomerCategory'] == 'A']['freq'],
mode='markers+text',
name='Group A',
text=str(df[df['CustomerCategory'] == 'A']['NumberInCategory'][0]) + " | " + str(df[df['CustomerCategory'] == 'A']['AveragePerGroup'][0]) + " | " + str(df[df['CustomerCategory'] == 'A']['MedianPerGroup'][0]),
textposition='bottom',
marker=dict(
    color=colorList[0],
    size=df[df['CustomerCategory'] == 'A']['Bubble'],
)
)

2 Likes
2

There’s no way to do that at the moment unfortunately.

3

Thanks for the reply! Annotations it is then!

4

here is the solution to hide the Aa labels on legends

get the plotly reference id and find the legend text element and apply the css styling

$("#id").find(“g.pointtext”).find(“text”).css(“visibility”, “hidden”);

5

add below html to head of the page’s html

g.pointtext {
display: none;
}

or

add script to html

$(".pointtext").css(‘display’, ‘none’);

1 Like
6

What’s the function of the “Aa” marker?

7

Any update on this? Is there any way we can remove the Aa in python?
I plot one point per group with markers and showlegend=True to add the legend, then plot the complete graph with markers+text and showlegend=False. However, this is an ugly solution. I am looking for a better way to do it in python.