Customize Boxplot hoverinfo
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Description
Is it possible to customize the hoverinfo of boxplots? Instead of showing the x-axis value infront of q1, q3, mean, etc..I want to change the value for the 'x-axis on the hover info. I thougt that this is possible with customdata but if I use it only the standard informations are displayed.
import plotly.graph_objects as go
x = ['day 1', 'day 1', 'day 1', 'day 1', 'day 1', 'day 1',
'day 2', 'day 2', 'day 2', 'day 2', 'day 2', 'day 2']
fig = go.Figure()
meta=[0,1,2,3]
fig.add_trace(go.Box(
y=[0.2, 0.2, 0.6, 1.0, 0.5, 0.4, 0.2, 0.7, 0.9, 0.1, 0.5, 0.3],
x=x,
name='kale',
marker_color='#3D9970',
customdata=[0, 0, 0 ,0 ,0 ,0, 1, 1, 1, 1, 1, 1],
hovertemplate='x:%{customdata}'
))
fig.show(renderer='browser')
I want that in the hovrinfo it says 0 insead of 'day 1' and 1 instead of 'day 2' for example.
Greetz Jan :)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the provided Python example with go.Box, customdata, and hovertemplate. Read the boxplot hover behavior and determine how custom values can replace the x-axis label while retaining q1, q3, and mean information. Done means the example displays 0 for day 1 and 1 for day 2 in the hover text.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100