Problem using margin on plots
using Plots # Create a scatter plot scatter([1, 2, 3, 4], [5, 6, 7, 8], margin=5mm) Solution 1: Using the `margin` argument One way to solve the problem of using margin on
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using Plots # Create a scatter plot scatter([1, 2, 3, 4], [5, 6, 7, 8], margin=5mm) Solution 1: Using the `margin` argument One way to solve the problem of using margin on
using PlotlyJS # Create initial data x = 1:10 y = x.^2 # Create initial plot trace = scatter(x=x, y=y, mode=”lines+markers”) layout = Layout(title=”Plotly Slider Example”, xaxis_title=”X”, yaxis_title=”Y”) plot([trace], layout) # Define
using Makie function set_labels(scene::SceneLike, xlabel::AbstractString, ylabel::AbstractString) xaxis!(scene, xlabel) yaxis!(scene, ylabel) end scene = Scene() scatter!(scene, rand(10), rand(10)) set_labels(scene, “X”, “Y”) display(scene) Solution 1: Using the set_labels function To set the xlabel and
using Plots function animate_tangent_line() x = -5:0.1:5 y = x.^2 anim = @animate for i in 1:length(x) plot(x, y, xlims=(-5,5), ylims=(-5,25), legend=false) plot!(x, x[i]*(x .- x[i]) .+ y[i], xlims=(-5,5), ylims=(-5,25), color=:red) end
using Plots gr() # Create a plot plot([1, 2, 3], [4, 5, 6], label=”Data 1″) # Erase previous data plots plot!([], [], label=”Data 2″) plot!([], [], label=”Data 3″) Option 1: Using the
using Plots # Create a sample plot x = 1:10 y = 1:10 z = [i + j for i in x, j in y] heatmap(x, y, z, clim=(0, 20), cmap=:cool) Option
using PlotlyJS using PlutoUI @bind plotly_backend() begin PlotlyJS.plotlyjs() end @bind function plotly_backend() backend = plotly_backend() backend.plotlyjs() end plotly_backend() Solution 1: Adjusting the plot margins One way to solve the issue of wasted
using Makie function pie_chart_with_labels(labels, values) fig = Figure() ax = Axis(fig[1, 1]) pie!(ax, values, labels=labels) fig end labels = [“A”, “B”, “C”, “D”] values = [10, 20, 30, 40] fig = pie_chart_with_labels(labels,
using Gtk using GR function update_canvas(widget) canvas = widget[:canvas] GR.clearws() GR.setviewport(canvas[:allocation][:width], canvas[:allocation][:height]) GR.setwindow(0, 1, 0, 1) GR.setspace(0, 0, 0, 0) GR.axes(0.1, 0.1, 0.9, 0.9, 0, 0, 1, 1, 0.01) GR.updatews() end function
using PyPlot function julia_set(width, height, c, max_iter) x = linspace(-2, 2, width) y = linspace(-2, 2, height) z = x .+ y’ .* im img = zeros(UInt8, height, width, 3) for i
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