mantao/Plots.jl
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fix infinite objects with log scale

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This commit is contained in:
Daniel Schwabeneder 2020-05-29 09:42:44 +02:00
parent 84fc6b0be0
commit 580ac8a9d1
2 changed files with 33 additions and 12 deletions
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4
src/recipes.jl
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@ -112,7 +112,7 @@ end
@recipe function f(::Type{Val{:hline}}, x, y, z)
n = length(y)
newx = repeat(Float64[-1, 1, NaN], n)
newx = repeat(Float64[1, 2, NaN], n)
newy = vec(Float64[yi for i = 1:3, yi in y])
x := newx
y := newy
@ -124,7 +124,7 @@ end
@recipe function f(::Type{Val{:vline}}, x, y, z)
n = length(y)
newx = vec(Float64[yi for i = 1:3, yi in y])
newy = repeat(Float64[-1, 1, NaN], n)
newy = repeat(Float64[1, 2, NaN], n)
x := newx
y := newy
seriestype := :straightline

39
src/utils.jl
View File

@ -1079,10 +1079,21 @@ end
function straightline_data(series, expansion_factor = 1)
sp = series[:subplot]
xl, yl = isvertical(series) ? (xlims(sp), ylims(sp)) : (ylims(sp), xlims(sp))
x, y = series[:x], series[:y]
# handle axes scales
xscale = sp[:xaxis][:scale]
xf = RecipesPipeline.scale_func(xscale)
xinvf = RecipesPipeline.inverse_scale_func(xscale)
yscale = sp[:yaxis][:scale]
yf = RecipesPipeline.scale_func(yscale)
yinvf = RecipesPipeline.inverse_scale_func(yscale)
xl, yl = xf.(xl), yf.(yl)
x, y = xf.(series[:x]), yf.(series[:y])
n = length(x)
if n == 2
return straightline_data(xl, yl, x, y, expansion_factor)
xdata, ydata = if n == 2
straightline_data(xl, yl, x, y, expansion_factor)
else
k, r = divrem(n, 3)
if r == 0
@ -1091,11 +1102,13 @@ function straightline_data(series, expansion_factor = 1)
inds = (3 * i - 2):(3 * i - 1)
xdata[inds], ydata[inds] = straightline_data(xl, yl, x[inds], y[inds], expansion_factor)
end
return xdata, ydata
xdata, ydata
else
error("Misformed data. `straightline_data` either accepts vectors of length 2 or 3k. The provided series has length $n")
end
end
return xinvf.(xdata), yinvf.(ydata)
end
function straightline_data(xl, yl, x, y, expansion_factor = 1)
@ -1127,20 +1140,28 @@ end
function shape_data(series, expansion_factor = 1)
sp = series[:subplot]
xl, yl = isvertical(series) ? (xlims(sp), ylims(sp)) : (ylims(sp), xlims(sp))
# handle axes scales
xscale = sp[:xaxis][:scale]
xf = RecipesPipeline.scale_func(xscale)
xinvf = RecipesPipeline.inverse_scale_func(xscale)
yscale = sp[:yaxis][:scale]
yf = RecipesPipeline.scale_func(yscale)
yinvf = RecipesPipeline.inverse_scale_func(yscale)
x, y = copy(series[:x]), copy(series[:y])
factor = 100
for i in eachindex(x)
if x[i] == -Inf
x[i] = xl[1] - expansion_factor * (xl[2] - xl[1])
x[i] = xinvf(xf(xl[1]) - expansion_factor * (xf(xl[2]) - xf(xl[1])))
elseif x[i] == Inf
x[i] = xl[2] + expansion_factor * (xl[2] - xl[1])
x[i] = xinvf(xf(xl[2]) + expansion_factor * (xf(xl[2]) - xf(xl[1])))
end
end
for i in eachindex(y)
if y[i] == -Inf
y[i] = yl[1] - expansion_factor * (yl[2] - yl[1])
y[i] = yinvf(yf(yl[1]) - expansion_factor * (yf(yl[2]) - yf(yl[1])))
elseif y[i] == Inf
y[i] = yl[2] + expansion_factor * (yl[2] - yl[1])
y[i] = yinvf(yf(yl[2]) + expansion_factor * (yf(yl[2]) - yf(yl[1])))
end
end
return x, y