Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

[FEATURE]: minimum autorange window

Open
  • Is something wrong?
#7,770 1 comment 0 reactions 0 assignees View on GitHub

Maintainers usually reply within 1 day

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
42/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Quiet
Tech stack
javascript
Domain
data-visualization

Research direction

Start by tracing the existing yaxis.autorangeoptions handling, especially clipmin, clipmax, minallowed, and maxallowed, and review how Plotly.extendTraces and Plotly.relayout affect streaming autorange behavior. Define the API and verify that autorange keeps the configured minimum window when data remain inside it, while expanding enough to include outliers and existing padding rules.

Written by the indexing model from the issue text.

Description

enhancement feature P3 size: 5

Feature request: “minimum autorange window” (default range, expand only when data exceed bounds) for live graphs

Problem / Motivation

We are building a live (streaming) graph with Plotly.js. When using autorange: true, the y-axis can become too tightly zoomed around very small values. This makes it hard to follow the signal comfortably because the scale constantly re-adjusts to tiny changes.

At the same time, we need to see outliers immediately: if a value suddenly exceeds a threshold, the plot should expand so the outlier is visible and operators can react.

So we want a y-axis behavior like:

  • Default to a “stable” range (e.g. [-10, 10]) while data stay inside it (prevents over-zooming).
  • If any new data point goes below -10 or above 10, automatically expand the axis beyond that window (so outliers are visible).
  • In other words: do not shrink inside the window, but do expand outside of it.

Why current options don’t solve it

  • layout.yaxis.autorangeoptions.clipmin/clipmax cap the autorange result.
    They prevent the axis from expanding beyond the clip values, which is the opposite of what we need (we want expansion beyond the threshold).
  • autorangeoptions.minallowed/maxallowed (and axis-level allowed options) are hard limits / exact values and also do not provide “minimum window but expandable”.
  • The current workaround is to compute data min/max and call Plotly.relayout() repeatedly, but this creates boilerplate, can fight user interactions, and is easy to get wrong for multi-axis / overlay cases.

Proposed feature

Add an autorange option that enforces a minimum visible window while still allowing expansion when data exceed the window.

Possible API (one of these, open to better naming):

  • yaxis.autorangeoptions.minwindow: [-10, 10]
  • yaxis.autorangeoptions.minrange: 20 (minimum span)
  • or similar
Proposed semantics

When autorange: true:

  1. Compute normal autorange [amin, amax] from data (with existing padding rules).
  2. Enforce: the final range must include the data, and must be at least the configured minimum window/span.
    • If data are within the minimum window, use the minimum window exactly (stable view).
    • If data exceed the window, expand as needed to include the data (outliers become visible).
Examples

Given minwindow: [-10, 10]:

  • data in [-3, 5] -> range should be [-10, 10]
  • data in [-12, 5] -> range should expand to include -12 (e.g. [-12, 10] plus padding if applicable)
  • data in [-3, 22] -> range should expand to include 22

Minimal reproduction / demonstration

Current behavior with autorange: true in a streaming graph:

  • when values are close to 0, the axis zooms too tightly and keeps changing scale, making the chart hard to read.

Desired behavior:

  • keep a stable default range (e.g. [-10, 10]) until thresholds are exceeded, then expand.

(If maintainers want, I can provide a CodePen reproducing the streaming case using Plotly.extendTraces.)

Additional notes

This feature would be especially valuable for:

  • live monitoring dashboards
  • industrial / IoT telemetry
  • finance signals with mostly small fluctuations but occasional spikes

It’s conceptually related to clipmin/clipmax, but with inverse behavior:

  • clip* = “don’t expand past these limits”
  • minwindow = “don’t shrink inside these limits, but expand past them when necessary”
  • or you can add more values in autorangeoptions: include
Dominant language
JavaScript
Stars
18.3k
Forks
2k
Avg merge
1d 14h
Merged PRs (30d)
21

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from plotly/plotly.js

All issues in plotly/plotly.js

Similar issues

More JavaScript issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.