enable arbitrary formatting on x-axis and y-axis tick labels
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- Dominant language
- Python
- Stars
- 18.8k
- Forks
- 2.8k
- Avg merge
- 16h 26m
- Merged PRs (30d)
- 21
Description
Thanks for the awesome work on this project! It is incredibly useful!
I have a feature request. I work for a hedge fund and we want our plotly graphs to follow a standardized format. I am having a hard time through writing a generic formatting function that formats the x-axis and y-axis tick values.
For instance, if you wanted to set the tick axis to be bold and include a "x" at the end, you would need to do something like:
fig.update_layout(
yaxis = dict(
tickmode = 'array',
tickvals = [1, 2, 3],
ticktext = ["<b>1x</b>", "<b>2x</b>", "<b>3x</b>"]
)
)
Which is pretty inconvenient because you have to specify the tickvals every time you want to do this.
So I was thinking that it could be a good idea to add something like:
fig.update_xaxis(tick_text_formatter=<function that formats a tick value>)
Thoughts?
Again, thanks for the awesome work!
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 at the public fig.update_layout and fig.update_xaxis entry points, then trace how x-axis and y-axis tick labels are represented. Define the formatter behavior and API, and consider how tests should verify arbitrary formatting without requiring manual tickvals and ticktext.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- plotly, python
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100