3 ms·
time to precompile Plots: 138s julia> @time Plots.scatter(data.eq_site_limit, data.hu_site_limit) 5.461595 seconds subsequent calls report significant speed
by orbifold 6y ago
time to precompile Plots: 138s
julia> @time Plots.scatter(data.eq_site_limit, data.hu_site_limit)
5.461595 seconds
subsequent calls report significant speed ups compared to matplotlib, but render about as quickly
julia> @time Plots.histogram(data.eq_site_limit)
2.143983 seconds
- ViralBShah 6y agoThere are 3 different phases: 1. Precompilation time: Only once when you install or upgrade a package. 2. First running time (that includes compilation time): When you call a function like `plot` the first time in a session 3. Second and subsequent running times: The compiled code is now in the cache, and what you see is the actual running time. Thus what you are reporting here as precompilation (1) is not something that a user will see every time. What they will see is (2) for the first time in a session and (3) on subsequent plots. Could you confirm this is what you see - to ensure that those following along understand the terminology? Here are the usage times I see when I use Plots on a daily basis in a Julia session: ~ exec '/Users/viral/Desktop/Julia_Releases/Julia-1.5.app/Contents/Resources/julia/bin/julia' _ _ _ _(_)_ | Documentation: https://docs.julialang.org (_) | (_) (_) | _ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version 1.5.2 (2020-09-23) _/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release |__/ | julia> @time using Plots 11.341632 seconds (20.21 M allocations: 1.108 GiB, 2.87% gc time) julia> @time plot(1:10,1:10) 2.291147 seconds (3.24 M allocations: 165.569 MiB, 7.80% gc time) (Another 2 seconds for the window to be drawn the first time on mac) julia> @time plot(1:10,1:10) 0.000763 seconds (2.80 k allocations: 166.023 KiB)