How about:
using Gadfly
# Generate some data
N = 100
X = Float64[]
Y = Float64[]
Z = Float64[]
for x in linspace(0.0,2π,N), y in linspace(0.0,2π,N)
push!(X, x)
push!(Y, y)
push!(Z, sin(x)*sin(y))
end
plot(x=X,y=Y,color=Z,Geom.rectbin)
On Friday, February 6, 2015 at 5:34:45 PM UTC-5, Andrei Berceanu wrote:
>
> The only thing keeping me from migrating from PyPlot to Gadfly is the lack
> of 2D plotting abilities. To exemplify, I used the following code to
> generate the attached image with PyPlot (here data is a 2d array):
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> *fig, ax = plt.subplots(figsize=(4, 4))img = ax[:imshow](data,
> origin="upper", ColorMap("hot"),
> interpolation="none",
> extent=[x[1], x[end], x[1], x[end]]) ax[:set_ylim](x[1],
> x[end]) ax[:set_xlim](x[1],
> x[end]) ax[:set_xlabel](L"$p_x$") ax[:set_ylabel](L"$p_y$") tks = [-3.,
> -1.5, 0, 1.5,
> 3.] ax[:xaxis][:set_ticks](tks) ax[:yaxis][:set_ticks](tks) cbar =
> fig[:colorbar](img, shrink=0.8, aspect=20,
> fraction=.12,pad=.02) cbar[:ax][:tick_params](labelsize=7)
> fig[:savefig]("fig_berry_bz",
> bbox_inches="tight")*
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> What is the current alternative for obtaining such a plot using Gadfly?
> Are there plans for getting similar functionality anytime soon?
>
