I'm trying to put together a ggplotly graph with three elements (geom_point, geom_line, and geom_rect) and it looks fine in ggplot2. However, when I convert to ggplotly, the geom_rect disappears. I'm thinking it's something with the inherit.aes function?

The code to build the test data is below.

library(ggplot2)
library(plotly)

dates_seq = seq.Date(as.Date("2019-03-13"), as.Date("2019-04-21"), by = "1 day")
df = data.frame(ds = dates_seq,
                y = rnorm(length(dates_seq), mean = 50, sd = 5),
                yhat = rnorm(length(dates_seq), mean = 50, sd = 5)
                )
df$yhat_lower = df$yhat - 5
df$yhat_upper = df$yhat + 5

gg <- ggplot(df, aes(x = ds, y = y)) +
    labs(x = 'Date', y = 'Sales') +
      geom_ribbon(aes(ymin = yhat_lower, ymax = yhat_upper), fill = 'blue',
                  alpha = 0.2,
                  na.rm = TRUE)

start_date = as.Date("2019-04-19")
gg <- gg +
  geom_point(na.rm=TRUE) +
  geom_vline(xintercept = as.numeric(as.Date(start_date - lubridate::days(1))), linetype = 2, color = "black") +
  geom_line(aes(y = yhat), color = 'blue',
            na.rm = TRUE) +
  theme_classic()

promo_df = data.frame(xmin = c("2019-03-15", "2019-04-01"), xmax = c("2019-03-18", "2019-04-08"),
                          ymin = -Inf, ymax = Inf, Promo = "Yes")
promo_df$id = 1:nrow(promo_df)
gg = gg +
  geom_rect(data=promo_df, inherit.aes=FALSE,
            aes(xmin=as.Date(xmin),
                xmax=as.Date(xmax),
                ymin=ymin,ymax=ymax,
                group=id, fill = factor(Promo)), alpha=0.2) +
  scale_fill_discrete(name = "On Promo?")

The ggplot image shows the desired output with the geom_rect.

gg

enter image description here

And now the ggplotly version:

ggplotly(gg)

enter image description here

Is there any way to get the ggplotly image to look like the basic ggplot2 chart?

0 Answers