ggplotly: log argument cancels axis labels

Question

I just discovered the newish ggplotly function that makes ggplot2 graphs into interactive plotly visualizations. This is great. But I also ran into an odd effect, possibly a bug.

If I use the log= argument to change the axis scales, the axis labels disappear. log="x" will cause the x axis label to disappear, log="y" will cause the y axis label to disappear, and log="xy" will cause both to disappear.

The same thing happens if I use scale_x_log10() and scale_y_log10() functions instead of the log argument.

Is there a workaround for this?

Example (y axis label is visible, x axis label disappears):

qplot(wt, mpg, data=mtcars, colour=factor(cyl), log="x")
ggplotly()

or

qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + scale_x_log10()
ggplotly()

Answer 1

or maybe this?

ggplot(data = mtcars, aes(x = log10(wt), y=mpg, colour = factor(cyl))) + 
  geom_point() + 
  scale_x_continuous("wt, log10-scaling")

ggplotly()

Answer 2

Maybe this:

gg <- ggplot(mtcars, aes(x=wt, y=mpg)) + 
  geom_point() + coord_trans(y="log10")
ggplotly(gg) %>% layout(yaxis = list(type="log", autorange=TRUE))

Answer 3

You can get axis names if you supply them as arguments to scale_... function.

qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + scale_x_log10("wt")
ggplotly()