# \[Plots\] Efficient scatter plot of a 2×N Array

**URL:** <https://discourse.julialang.org/t/plots-efficient-scatter-plot-of-a-2xn-array/31803>\
**Category:** Visualization\
**Tags:** question, plotting, array\
**Created:** [December 3, 2019, 2:10pm UTC](https://discourse.julialang.org/t/plots-efficient-scatter-plot-of-a-2xn-array/31803 "2019-12-03T14:10:06Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![Tamas\_Papp](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/tamas_papp/32/25949_2.png) [@Tamas\_Papp](https://discourse.julialang.org/u/Tamas_Papp)\
**Post date:** [December 3, 2019, 5:26pm UTC](https://discourse.julialang.org/t/plots-efficient-scatter-plot-of-a-2xn-array/31803/6 "2019-12-03T17:26:15Z")

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It is very likely that plotting time will also scale at least linearly or worse (when a render has to figure out overlap in case of overplotting) with the number of points.

Also, [Performance Tips · The Julia Language](https://docs.julialang.org/en/v1/manual/performance-tips/#Copying-data-is-not-always-bad-1) .

The key to efficient Julia code is to be aware of various performance pitfalls and optimization techniques, then benchmark and profile, and apply them _where needed_.

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