86 lines
1.2 KiB
Julia
86 lines
1.2 KiB
Julia
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# Bogumił Kamiński, 2022
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# Codes for chapter 11
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# Code for section 11.1
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# Code for a note on conversion
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x = [1.5]
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x[1] = 1
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x
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# Code from section 11.1.1
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using Serialization
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walk = deserialize("walk.bin")
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Matrix(walk)
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Matrix{Any}(walk)
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Matrix{String}(walk)
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plot(walk)
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plot(Matrix(walk); labels=["x" "y"] , legend=:topleft)
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# Code from section 11.1.2
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Tables.columntable(walk)
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using BenchmarkTools
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function mysum(table)
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s = 0 #A
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for v in table.x #B
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s += v
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end
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return s
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end
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df = DataFrame(x=1:1_000_000);
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@btime mysum($df)
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tab = Tables.columntable(df);
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@btime mysum($tab)
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@code_warntype mysum(df)
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@code_warntype mysum(tab)
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typeof(tab)
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function barrier_mysum2(x)
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s = 0
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for v in x
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s += v
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end
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return s
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end
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mysum2(table) = barrier_mysum2(table.x)
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@btime mysum2($df)
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df = DataFrame(a=[1, 1, 2], b=[1, 1, 2])
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unique(df)
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tab = Tables.columntable(df)
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unique(tab)
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# Code from section 11.1.3
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Tables.rowtable(walk)
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nti = Tables.namedtupleiterator(walk)
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for v in nti
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println(v)
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end
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er = eachrow(walk)
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er[1]
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er[end]
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ec = eachcol(walk)
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ec[1]
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ec[end]
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identity.(eachcol(walk))
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df = DataFrame(x=1:2, b=["a", "b"])
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identity.(eachcol(df))
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