Powerful convenience for Julia visualizations and data analysis http://juliaplots.github.io/
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isovalue
(= threshold)
p1 = make_first_plot()
p2 = make_second_plot()
plot(p1[1][1][:x], p1[1][1][:y], lab="model")
plot!(sp=1, p2) # replace p1
plot!(sp=1, p2) # also replace p1
bottom_margin = http://5Plots.mm
, you have to find the value and unit that fits your needs.
x = -10:0.01:10
y = x
plot(x, y)
plot(x, y, yaxis = log10.(y .+ 100))
yaxis = log10.(y .+ 100)
only yields values from 1.95 to 2.04 so its a straight line
@df df_final_biomass_diff_array_fw_10_industry_high scatter(:body_mass_fw_1,log10.(:bio_diff_S33_1 .+ 10), xaxis = :log10)