Author = "Daniel C. Jones, Tamas Nagy"
Gadfly supports creating SVG images out of the box through the native Julian renderer in Compose.jl. The PNG, PDF, PS, and PGF formats, however, require Julia's bindings to cairo and fontconfig, which can be installed with
Rendering to a file
In addition to the
draw interface presented in the [Tutorial](@ref Tutorial):
p = plot(...) draw(SVG("foo.svg", 6inch, 4inch), p)
one can more succintly use Julia's function chaining syntax:
p |> SVG("foo.svg", 6inch, 4inch)
If you plan on drawing many figures of the same size, consider setting it as the default:
set_default_plot_size(6inch, 4inch) p1 |> SVG("foo1.svg") p2 |> SVG("foo2.svg") p3 |> SVG("foo3.svg")
Choosing a backend
Drawing to different backends is easy. Simply swap
SVG for one
# e.g. p |> PDF("foo.pdf")
subtleties with using the output from this backend.
Drawing to the backend works like any other
draw(SVGJS("foo.svg", 6inch, 6inch), p)
If included with an
<img> tag, the output will display as a static SVG image
<object data="foo.svg" type="image/svg+xml"></object>
For the latter, a
div element must be placed, and the
must be passed the id of this element, so it knows where in the
document to place the plot.
The IJulia project adds Julia support to Jupyter. This includes a browser based notebook that can inline graphics and plots. Gadfly works out of the box with IJulia, with or without drawing explicity to a backend.
Without an explicit call to
draw (i.e. just calling
plot without a trailing
semicolon), the SVGJS backend is used with the default plot size, which can be
changed as described above.