mirror of https://github.com/mpastell/Weave.jl
Fixed tests to match the new slightly different output
parent
e2da54fa54
commit
2681f19c19
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@ -61,6 +61,7 @@ julia> set_chunk_defaults(Dict{Symbol, Any}(:dpi => 200, fig_width => 8))
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"""
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function set_chunk_defaults(opts::Dict{Symbol, Any})
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merge!(rcParams[:chunk_defaults], opts)
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return nothing
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end
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"""
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@ -64,11 +64,12 @@ h = FIRfreqz(f, w)
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#' ## Plot the frequency and impulse response
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h_db = log10(abs(h))
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ws = w/pi*(fs/2)
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#' The next code chunk is executed in term mode, see the [script](FIR_design.jl) for syntax.
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#+ term=true
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h_db = log10(abs(h))
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ws = w/pi*(fs/2)
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plot(y = h_db, x = ws, Geom.line,
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Guide.xlabel("Frequency (Hz)"), Guide.ylabel("Magnitude (db)"))
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@ -75,42 +75,25 @@ h = FIRfreqz(f, w)
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## Plot the frequency and impulse response
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~~~~{.julia}
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h_db = log10(abs(h))
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ws = w/pi*(fs/2)
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~~~~~~~~~~~~~
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The next code chunk is executed in term mode, see the [script](FIR_design.jl) for syntax.
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~~~~{.julia}
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julia>
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h_db = log10(abs(h))
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1024-element Array{Float32,1}:
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0.0
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-1.52727e-6
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-6.03147e-6
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-1.35386e-5
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-2.39452e-5
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-3.71738e-5
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-5.31213e-5
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-7.16583e-5
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-9.25781e-5
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-0.000115803
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⋮
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-3.21659
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-3.18342
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-3.15605
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-3.13379
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-3.11615
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-3.10275
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-3.09335
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-3.08778
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-3.08593
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julia> ws = w/pi*(fs/2)
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linspace(0.0,10.0,1024)
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julia> plot(y = h_db, x = ws, Geom.line,
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plot(y = h_db, x = ws, Geom.line,
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Guide.xlabel("Frequency (Hz)"), Guide.ylabel("Magnitude (db)"))
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~~~~~~~~~~~~~
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![](figures/FIR_design_3_1.png)\
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![](figures/FIR_design_4_1.png)\
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@ -124,5 +107,5 @@ plot(y = h_phase, x = ws, Geom.line,
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~~~~~~~~~~~~~
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![](figures/FIR_design_4_1.png)\
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![](figures/FIR_design_5_1.png)\
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@ -6,8 +6,8 @@ println(f(2))
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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4
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~~~~~~~~~~~~~
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~~~~
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@ -18,9 +18,9 @@ println(y)
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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[2,5,12]
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~~~~~~~~~~~~~
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~~~~
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@ -29,24 +29,24 @@ println(x)
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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[12,10]
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~~~~~~~~~~~~~
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~~~~
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~~~~{.julia}
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~~~~
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Results without code
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~~~~~~~~~~~~~
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~~~~
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~~~~{.julia}
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~~~~
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[12,10]
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~~~~~~~~~~~~~
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~~~~
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@ -68,9 +68,9 @@ println(y)
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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1:5
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~~~~~~~~~~~~~
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~~~~
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@ -102,14 +102,14 @@ println(collect(0:10:1000))
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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[0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200,2
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10,220,230,240,250,260,270,280,290,300,310,320,330,340,350,360,370,380,390,
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400,410,420,430,440,450,460,470,480,490,500,510,520,530,540,550,560,570,580
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,590,600,610,620,630,640,650,660,670,680,690,700,710,720,730,740,750,760,77
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0,780,790,800,810,820,830,840,850,860,870,880,890,900,910,920,930,940,950,9
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60,970,980,990,1000]
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~~~~~~~~~~~~~
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~~~~
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@ -120,9 +120,9 @@ println(collect(0:10:1000))
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~~~~~~~~~~~~~
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~~~~{.julia}[0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200,210,220,230,240,250,260,270,280,290,300,310,320,330,340,350,360,370,380,390,400,410,420,430,440,450,460,470,480,490,500,510,520,530,540,550,560,570,580,590,600,610,620,630,640,650,660,670,680,690,700,710,720,730,740,750,760,770,780,790,800,810,820,830,840,850,860,870,880,890,900,910,920,930,940,950,960,970,980,990,1000]
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~~~~[0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200,210,220,230,240,250,260,270,280,290,300,310,320,330,340,350,360,370,380,390,400,410,420,430,440,450,460,470,480,490,500,510,520,530,540,550,560,570,580,590,600,610,620,630,640,650,660,670,680,690,700,710,720,730,740,750,760,770,780,790,800,810,820,830,840,850,860,870,880,890,900,910,920,930,940,950,960,970,980,990,1000]
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~~~~~~~~~~~~~
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~~~~
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@ -133,7 +133,7 @@ println(collect(0:10:1000))
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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[0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,17
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0,180,190,200,210,220,230,240,250,260,270,280,290,300,310,32
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0,330,340,350,360,370,380,390,400,410,420,430,440,450,460,47
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@ -141,6 +141,6 @@ println(collect(0:10:1000))
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0,630,640,650,660,670,680,690,700,710,720,730,740,750,760,77
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0,780,790,800,810,820,830,840,850,860,870,880,890,900,910,92
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0,930,940,950,960,970,980,990,1000]
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~~~~~~~~~~~~~
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~~~~
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@ -33,7 +33,7 @@ println(x)
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````
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````julia
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````
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linspace(0.0,200.0,50)
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````
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@ -73,7 +73,7 @@ println(x)
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````
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````julia
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````
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linspace(0.0,200.0,50)
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````
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@ -0,0 +1,74 @@
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````julia
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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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````
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````
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f5326a4a290>
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````
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![sin(x) function.](figures/pyplot_formats_sin_fun_1.png)
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````
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f5326a56c10>
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````
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![cos(x) function.](figures/pyplot_formats_2_1.png)
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````
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f5326d76350>
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````
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![](figures/pyplot_formats_cos2_fun_1.png)
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````julia
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julia> x = linspace(0, 2π, 200)
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linspace(0.0,6.283185307179586,200)
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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 0x7f5326de8c10>
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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 0x7f5326de8e50>
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````
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![](figures/pyplot_formats_4_1.png)
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````julia
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x = randn(100, 100)
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contourf(x)
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````
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````
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PyObject <matplotlib.contour.QuadContourSet object at 0x7f53346d2910>
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````
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![](figures/pyplot_formats_5_1.png)
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@ -9,14 +9,32 @@ plot(x, sin(x))
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````
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````
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f5326a4a290>
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````
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![sin(x) function.](figures/pyplot_formats_sin_fun_1.png)
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````
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f5326a56c10>
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````
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![cos(x) function.](figures/pyplot_formats_2_1.png)
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````
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f5326d76350>
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````
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![](figures/pyplot_formats_cos2_fun_1.png)
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@ -28,13 +46,13 @@ linspace(0.0,6.283185307179586,200)
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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 0x7fe56d2dfef0>
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PyObject <matplotlib.lines.Line2D object at 0x7f5326de8c10>
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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 0x7fe56d2e4fd0>
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PyObject <matplotlib.lines.Line2D object at 0x7f5326de8e50>
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````
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@ -48,4 +66,9 @@ contourf(x)
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````
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````
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PyObject <matplotlib.contour.QuadContourSet object at 0x7f53346d2910>
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````
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![](figures/pyplot_formats_5_1.png)
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@ -10,6 +10,13 @@
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::
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f9745111450>
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.. figure:: figures/pyplot_formats_sin_fun_1.svg
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:width: 15 cm
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@ -18,6 +25,13 @@
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::
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f9777e49990>
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.. figure:: figures/pyplot_formats_2_1.svg
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:width: 15 cm
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@ -26,6 +40,13 @@
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::
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7f9777d7b590>
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.. image:: figures/pyplot_formats_cos2_fun_1.svg
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:width: 15 cm
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@ -40,13 +61,13 @@ linspace(0.0,6.283185307179586,200)
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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 0x7fe5a9e74b70>
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PyObject <matplotlib.lines.Line2D object at 0x7f9777c71190>
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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 0x7fe5a9e7acf8>
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PyObject <matplotlib.lines.Line2D object at 0x7f9777c71390>
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::
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PyObject <matplotlib.contour.QuadContourSet object at 0x7f9777ba3510>
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.. image:: figures/pyplot_formats_5_1.svg
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:width: 15cm
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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 0x7fe847179cd0>
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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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\begin{juliaout}
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7fe846fb2950>
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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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\begin{juliaout}
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1-element Array{Any,1}:
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PyObject <matplotlib.lines.Line2D object at 0x7fe839790510>
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\end{juliaout}
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\includegraphics[width=\linewidth]{figures/pyplot_formats_cos2_fun_1.pdf}
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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 0x7fe56f7ac978>
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PyObject <matplotlib.lines.Line2D object at 0x7fe8396c8110>
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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 0x7fe56f7b29b0>
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PyObject <matplotlib.lines.Line2D object at 0x7fe8396c8310>
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\end{juliaterm}
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\includegraphics[width=\linewidth]{figures/pyplot_formats_4_1.pdf}
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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 0x7fe8395fc390>
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\end{juliaout}
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\includegraphics[width=15cm]{figures/pyplot_formats_5_1.pdf}
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@ -18,9 +18,9 @@ print(x)
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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1:10
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~~~~~~~~~~~~~
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~~~~
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@ -38,9 +38,9 @@ display(x)
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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1:10
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~~~~~~~~~~~~~
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~~~~
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@ -94,10 +94,10 @@ display(x)
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~~~~~~~~~~~~~
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~~~~{.julia}
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~~~~
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1:10
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||||
1:10
|
||||
~~~~~~~~~~~~~
|
||||
~~~~
|
||||
|
||||
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||||
![](figures/test_hold_3_1.png)\
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||||
|
|
|
@ -7,6 +7,7 @@ julia> t = linspace(0, 2*pi, 100)
|
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linspace(0.0,6.283185307179587,100)
|
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julia> plot(t, sinc(t))
|
||||
|
||||
Winston.FramedPlot(...)
|
||||
````
|
||||
|
||||
|
||||
|
@ -17,6 +18,7 @@ julia> s = 1:10
|
|||
|
||||
1:10
|
||||
julia> plot(s, "r*")
|
||||
Winston.FramedPlot(...)
|
||||
````
|
||||
|
||||
|
||||
|
@ -49,6 +51,11 @@ display(p)
|
|||
````
|
||||
|
||||
|
||||
````
|
||||
warning: sub-optimal solution for plot
|
||||
````
|
||||
|
||||
|
||||
![](figures/winston_formats_3_1.png)
|
||||
|
||||
````julia
|
||||
|
|
|
@ -8,6 +8,7 @@ julia> t = linspace(0, 2*pi, 100)
|
|||
linspace(0.0,6.283185307179587,100)
|
||||
julia> plot(t, sinc(t))
|
||||
|
||||
Winston.FramedPlot(...)
|
||||
|
||||
|
||||
|
||||
|
@ -21,6 +22,7 @@ julia> s = 1:10
|
|||
|
||||
1:10
|
||||
julia> plot(s, "r*")
|
||||
Winston.FramedPlot(...)
|
||||
|
||||
|
||||
|
||||
|
@ -60,6 +62,12 @@ julia> plot(s, "r*")
|
|||
|
||||
|
||||
|
||||
::
|
||||
|
||||
warning: sub-optimal solution for plot
|
||||
|
||||
|
||||
|
||||
.. image:: figures/winston_formats_3_1.png
|
||||
:width: 15 cm
|
||||
|
||||
|
|
|
@ -7,16 +7,18 @@ julia> t = linspace(0, 2*pi, 100)
|
|||
linspace(0.0,6.283185307179587,100)
|
||||
julia> plot(t, sinc(t))
|
||||
|
||||
Winston.FramedPlot(...)
|
||||
\end{juliaterm}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_1_1.pdf}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_1_1.png}
|
||||
|
||||
\begin{juliaterm}
|
||||
julia> s = 1:10
|
||||
|
||||
1:10
|
||||
julia> plot(s, "r*")
|
||||
Winston.FramedPlot(...)
|
||||
\end{juliaterm}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_1_2.pdf}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_1_2.png}
|
||||
|
||||
|
||||
|
||||
|
@ -24,7 +26,7 @@ julia> plot(s, "r*")
|
|||
|
||||
\begin{figure}[htpb]
|
||||
\center
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_random_1.pdf}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_random_1.png}
|
||||
\caption{Random walk.}
|
||||
\label{fig:random}
|
||||
\end{figure}
|
||||
|
@ -48,7 +50,10 @@ add(p, Curve(x, s, color="blue"))
|
|||
display(p)
|
||||
|
||||
\end{juliacode}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_3_1.pdf}
|
||||
\begin{juliaout}
|
||||
warning: sub-optimal solution for plot
|
||||
\end{juliaout}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_3_1.png}
|
||||
|
||||
\begin{juliacode}
|
||||
|
||||
|
@ -77,4 +82,4 @@ l = Legend(.1, .9, {a,b,s})
|
|||
add(p, s, a, b, l)
|
||||
display(p)
|
||||
\end{juliacode}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_3_2.pdf}
|
||||
\includegraphics[width=\linewidth]{figures/winston_formats_3_2.png}
|
||||
|
|
|
@ -7,10 +7,11 @@ julia> t = linspace(0, 2*pi, 100)
|
|||
linspace(0.0,6.283185307179587,100)
|
||||
julia> plot(t, sinc(t))
|
||||
|
||||
Winston.FramedPlot(...)
|
||||
~~~~~~~~~~~~~
|
||||
|
||||
|
||||
![](figures/winston_formats_1_1.svg)\
|
||||
![](figures/winston_formats_1_1.png)\
|
||||
|
||||
|
||||
~~~~{.julia}
|
||||
|
@ -18,17 +19,18 @@ julia> s = 1:10
|
|||
|
||||
1:10
|
||||
julia> plot(s, "r*")
|
||||
Winston.FramedPlot(...)
|
||||
~~~~~~~~~~~~~
|
||||
|
||||
|
||||
![](figures/winston_formats_1_2.svg)\
|
||||
![](figures/winston_formats_1_2.png)\
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
![Random walk.](figures/winston_formats_random_1.svg)
|
||||
![Random walk.](figures/winston_formats_random_1.png)
|
||||
|
||||
|
||||
|
||||
|
@ -51,7 +53,12 @@ display(p)
|
|||
~~~~~~~~~~~~~
|
||||
|
||||
|
||||
![](figures/winston_formats_3_1.svg)\
|
||||
~~~~
|
||||
warning: sub-optimal solution for plot
|
||||
~~~~
|
||||
|
||||
|
||||
![](figures/winston_formats_3_1.png)\
|
||||
|
||||
|
||||
~~~~{.julia}
|
||||
|
@ -83,5 +90,5 @@ display(p)
|
|||
~~~~~~~~~~~~~
|
||||
|
||||
|
||||
![](figures/winston_formats_3_2.svg)\
|
||||
![](figures/winston_formats_3_2.png)\
|
||||
|
||||
|
|
Loading…
Reference in New Issue