I made this helper function a while back to display images using Gadfly:
function imshow(x, title::String="", units::String="", args...)
is, js, values = findnz(x)
m, n = size(x)
df = DataFrames.DataFrame(i=is, j=js, value=values)
plot(df, x="j", y="i", color="value",
Coord.cartesian(yflip=true, fixed=true)
, Scale.x_continuous(minvalue=0.5, maxvalue=n+0.5)
, Scale.y_continuous(minvalue=0.5, maxvalue=m+0.5)
, Geom.rectbin, Stat.identity
, Guide.title(title) , Guide.colorkey(units)
, Guide.XLabel(""), Guide.YLabel("")
, Guide.xticks(ticks=[1,n]), Guide.yticks(ticks=[1,m])
, Theme(panel_fill=color("black"), grid_line_width = 0inch)
, args...)
end
On Friday, February 6, 2015 at 4:34:45 PM UTC-6, Andrei Berceanu wrote:
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> 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?
>
