Layers and Stacks

Gadfly also supports more advanced plot composition techniques like layering and stacking.


Draw multiple layers onto the same plot with

plot(layer(x=rand(10), y=rand(10), Geom.point),
     layer(x=rand(10), y=rand(10), Geom.line))

Or if your data is in a DataFrame:

plot(my_data, layer(x="some_column1", y="some_column2", Geom.point),
              layer(x="some_column3", y="some_column4", Geom.line))

You can also pass different data frames to each layers:

layer(another_dataframe, x="col1", y="col2", Geom.point)

Ordering of layers can be controlled with the order keyword. A higher order number will cause a layer to be drawn on top of any layers with a lower number. If not specified, default order for a layer is 0.

plot(layer(x=rand(10), y=rand(10), Geom.point, order=1),
     layer(x=rand(10), y=rand(10), Geom.line, order=2))

Guide attributes may be added to a multi-layer plots:

plt=plot(layer(x=rand(10), y=rand(10), Geom.point),
         layer(x=rand(10), y=rand(10), Geom.line),


Plots can also be stacked horizontally with hstack or vertically with vstack, and arranged into a rectangular array with gridstack. This allows more customization in regards to tick marks, axis labeling, and other plot details than is available with Geom.subplot_grid. Use title to add a descriptive string at the top.

p1 = plot(x=[1,2,3], y=[4,5,6])
p2 = plot(x=[1,2,3], y=[6,7,8])

p3 = plot(x=[5,7,8], y=[8,9,10])
p4 = plot(x=[5,7,8], y=[10,11,12])

# these two are equivalent
gridstack([p1 p2; p3 p4])

title("My great data", hstack(p3,p4))