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Providing a fixed set of ticks - Original example plot(x=rand(10), y=rand(10), Geom.point, Stat.yticks(ticks=[0.0, 0.1, 0.9, 1.0]))
Providing a fixed set of ticks for bar - WORKS plot(x=rand(10), y=rand(10), Stat.yticks(ticks=[0.0, 0.1, 0.9, 1.0]), Theme(default_point_size=0mm), Geom.point, Geom.bar)
Providing a fixed set of ticks for bar - how do I define xmax, xmain? plot(x=rand(10), y=rand(10), Stat.yticks(ticks=[0.0, 0.1, 0.9, 1.0]), Geom.bar)
Outputs: The following aesthetics are required by BarGeometry but are not defined: xmax, xmin
Just wondering what the approach should normally be - my desire is to work with bar charts here.
The text was updated successfully, but these errors were encountered:
There is a larger question here about what should a layer contain wrt geometries and statistics? Conventional thought would say that a layer should contain one geometry (e.g. points or lines etc) and one statistic (e.g. a smoothing function and the identity function are both statistics). Guess what Gadfly does when it finds statistics that are not associated with geometries!
plot(x=rand(10), y=rand(10), Geom.point, Stat.yticks(ticks=[0.0, 0.1, 0.9, 1.0]))
plot(x=rand(10), y=rand(10), Stat.yticks(ticks=[0.0, 0.1, 0.9, 1.0]), Theme(default_point_size=0mm), Geom.point, Geom.bar)
plot(x=rand(10), y=rand(10), Stat.yticks(ticks=[0.0, 0.1, 0.9, 1.0]), Geom.bar)
Outputs:
The following aesthetics are required by BarGeometry but are not defined: xmax, xmin
Just wondering what the approach should normally be - my desire is to work with bar charts here.
The text was updated successfully, but these errors were encountered: