Hi! Following JuliaAcademy, I had found something that results confusing. using DataFrames, Random function sim_e() draw = Float64[] while true push!(draw, rand()) sum(draw) > 1.0 && return draw end end Random.seed!(1234); res = [sim_e() for _ in 1:5] sum.(res) @. s…

An unexpected result using DataFrames.jl

nilshg May 11, 2020, 5:56pm 9

Okay so you can do ]rm MLJ to remove MLJ (if you don’t need it now!) - MLJ currently restricts compatibility to DataFrames below 0.21 so won’t let you update.

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An unexpected result using DataFrames.jl

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