35 lines
899 B
Julia
35 lines
899 B
Julia
using Plots
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using CSV
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pyplot()
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file_measure = "linear_x2.csv"
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file_input = "input_linear_x2.csv"
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measure = CSV.read(file_measure, header=false) |> Matrix{Float64};
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command = CSV.read(file_input, header=false) |> Matrix{Float64};
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init_measure = 1
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end_measure = 20
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init_command = 30
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for (i,t) in enumerate(measure[:,1])
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global init_measure = i
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if t >= command[init_command,1]
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break
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end
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end
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plot(
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measure[init_measure:end-end_measure,1],
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measure[init_measure:end-end_measure,2],
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title="plop",
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size=(1000, 600)
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)
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s = sum([x * (measure[init_command + i,1] - measure[init_command + i-1,1]) for (i,x) in enumerate(measure[init_measure:end-end_measure,2])]) / (measure[end-end_measure,1] - measure[init_measure,1])
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plot!([measure[init_measure,1], measure[end-end_measure,1]], [s, s])
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plot!(
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command[init_command:end,1],
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command[init_command:end,2]
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)
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show()
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