# NOT RUN {
# style() is especially useful in conjunction with ggplotly()
# It allows you to leverage the underlying plotly.js library to change
# the return result of ggplotly()
(p <- ggplotly(qplot(data = mtcars, wt, mpg, geom = c("point", "smooth"))))
# removes hoverinfo for the line/ribbon traces (use `plotly_json()` to verify!)
style(p, hoverinfo = "none", traces = c(2, 3))
# another example with plot_ly() instead of ggplotly()
marker <- list(
color = "red",
line = list(
width = 20,
color = "black"
)
)
(p <- plot_ly(x = 1:10, y = 1:10, marker = marker))
# note how the entire (marker) object is replaced if a list is provided
style(p, marker = list(line = list(color = "blue")))
# similar to plotly.js, you can update a particular attribute like so
# https://github.com/plotly/plotly.js/issues/1866#issuecomment-314115744
style(p, marker.line.color = "blue")
# this clobbers the previously supplied marker.line.color
style(p, marker.line = list(width = 2.5), marker.size = 10)
# }
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