plotly / plotly/react-plotly.js

Contour map, load a big data with a substantial number of NaN values

Open
#149 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
JavaScript
Stars
1.1k
Forks
138
Avg merge
3d 2h
Merged PRs (30d)
4

Description

Start let me apologize about my English. I found myself send to you a request for help with plot.ly after the difficult struggle with the library with a sad ending.
I need to mention that I am using the react version of plot.ly, my problem began when I need to use Contour map and load a big data with a substantial number of NaN values. The big problem that the component load very slowly, serval minutes to be sure (about 5-10 minutes), sometimes the browser crashes because of that problem.
I try to replace the Nan value with an integer number but it changes the color scale to an unwanted result that it is difficult to fix too.
so my last chance is you if you can help me with my problem or direct me to someone how can help me to get a good solution

Contributor guide

No contributing guide indexed for this repository

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.

Research direction

Start by reproducing the React contour-map case with large data containing many NaN values, using the issue's reported 5–10 minute load time and occasional browser crash as the baseline. Investigate the contour rendering path and verify that the result loads reliably without replacing NaN values in a way that distorts the color scale.

Written by the indexing model from the issue text.

Assessment

Tech stack
javascript, react
Domain
data-visualization
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.