JuliaPlots/Plots.jl

Sparsify Data

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#847 建立於 2017年5月20日

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 (4 留言) (0 反應) (0 負責人)Julia (1,943 star) (381 fork)batch import
enhancementgood first issue

描述

Sometimes I have millions of data points to plot, e.g., with scatter. This is extremely inefficient so I first sparsity them by throwing away points that are close within some tolerance of already existing points.

Surely this must come up on a regular basis. Maybe this is something that should be left with the user, but I thought I'd mention it as a possible feature for Plots?

貢獻者指南

技術棧
無
領域
performancedata
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
familiarity with Plots.jlunderstanding of data downsampling
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
20
研究方向
Investigate existing downsampling algorithms for scatter plots (e.g., Douglas Peucker or LTTB). Review comments on issue #847 for user expectations. Explore Plots.jl source to find where data is passed to backends and where a sparsification step could be inserted.