mirror of https://github.com/mpastell/Weave.jl
77 lines
1.2 KiB
TeX
77 lines
1.2 KiB
TeX
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\begin{juliacode}
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using PyPlot
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x = linspace(0, 2π, 200)
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plot(x, sin(x))
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\end{juliacode}
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\begin{figure}[ht]
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\center
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\includegraphics[width=\linewidth]{figures/pyplot_formats_sin_fun_1.pdf}
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\caption{sin(x) function.}
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\label{fig:sin_fun}
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\end{figure}
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\begin{figure}[htpb]
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\center
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\includegraphics[width=\linewidth]{figures/pyplot_formats_2_1.pdf}
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\caption{cos(x) function.}
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\end{figure}
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\includegraphics[width=\linewidth]{figures/pyplot_formats_cos2_fun_1.pdf}
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\begin{juliaterm}
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julia> x = linspace(0, 2π, 200)
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200-element Array{Float64,1}:
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0.0
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0.0315738
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0.0631476
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0.0947214
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0.126295
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0.157869
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0.189443
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0.221017
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0.25259
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0.284164
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⋮
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6.03059
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6.06217
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6.09374
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6.12532
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6.15689
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6.18846
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6.22004
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6.25161
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6.28319
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julia> plot(x, sin(x))
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f573878f9d0>
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julia> y = 20
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20
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julia> plot(x, cos(x))
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f573878fc50>
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\end{juliaterm}
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\includegraphics[width=\linewidth]{figures/pyplot_formats_4_1.pdf}
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\begin{juliacode}
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x = randn(100, 100)
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contourf(x)
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\end{juliacode}
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\includegraphics[width=15cm]{figures/pyplot_formats_5_1.pdf}
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