mirror of https://github.com/mpastell/Weave.jl
59 lines
1.5 KiB
TeX
59 lines
1.5 KiB
TeX
\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{juliaout}
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f8aa1b99588>
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\end{juliaout}
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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{juliaout}
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f8aa1d6cf60>
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\end{juliaout}
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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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\begin{juliaout}
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f8aa1cd9f28>
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\end{juliaout}
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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 LinSpace{Float64}:
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0.0,0.0315738,0.0631476,0.0947214,0.126295,…,6.18846,6.22004,6.25161,6.28319
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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 0x7f8aa1cc0ba8>
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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 0x7f8aa1cc0e10>
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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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\begin{juliaout}
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PyObject <matplotlib.contour.QuadContourSet object at 0x7f8aa1c2f198>
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\end{juliaout}
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\includegraphics[width=15cm]{figures/pyplot_formats_5_1.pdf}
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