Duplicate Keys on X-Axis with Date Format and formatTick
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- JavaScript
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Description
When plotting a chart using Plotly with a small dataset and specifying the x-axis type as date, along with a custom formatTick function, the x-axis displays duplicate keys. This issue creates a confusing and cluttered appearance, as shown in the example provided below.
Steps to Reproduce:
Create a chart with the x-axis type set to date.
Use a small dataset with date values.
Specify a custom formatTick function for the x-axis.
Example:
You can see the issue in the following CodePen example:
CodePen Example
Expected Behavior:
The x-axis should display unique date values without any duplicates, even for small datasets, ensuring a clean and accurate representation of the data.
Actual Behavior:
The x-axis shows duplicate date values, leading to a misleading visualization.
Environment:
Plotly.js version: plotly.js-dist-min@2.32.0
Browser: chrome
Operating System: windows
This issue significantly impacts the readability of charts, especially when dealing with smaller datasets where clear and distinct x-axis labels are crucial.
Additional information:
by specifying type as category or explicitly specilfying tickvals and ticktext doesn't suit well for large dataset.
Screenshot
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 running the linked CodePen example with Plotly.js 2.32.0 and compare the date-axis labels with and without the custom formatTick function. Trace the date-axis tick generation and formatting behavior responsible for repeated labels. Done means small date datasets render unique, readable x-axis labels without requiring category axes or explicit tickvals and ticktext.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- javascript
- Domain
- data-visualization
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100