How to create a regular hoverinfo table for Plotly boxplot?

Question

Basically, I have a problem with the current version of Plotly, which does not display hoverinfo for the field plot correctly. It skips the labels (min, max, median, etc.), so when I draw the following graph:

plot_ly(y = ~rnorm(50), type = "box")

I do not have the required tags.

Is there a way to provide custom hover labels so that they go like this: 1.97, q3: 0.84, median: 0.25, etc.?

My planned version is "4.7.1

Answer 1

Installing the latest version of dev from github solves the problem, see question # 1160 on github

Answer 2

ggplot2, .

, . plotly ggplot2 . , , .

.

---

(ggplot2)

( )

require(DAAG)
require(ggplot2)
require(plotly)
data("possum")

dset <- possum
here <- possum$sex == "f"
dname <- as.character(substitute(possum))
xnam <- as.character(substitute(x))
x <- dset[here, "totlngth"]

yLabel <- c("Total length (cm)")

## Pull in boxplot stats for use in mapping data later to boxplot
z <- boxplot.stats(x)
xlim <- range(c(z$stats, z$out))
xlim <- xlim + c(-0.025, 0.05) * diff(xlim)
ylim <- c(0.55, 1.5)

top <- 0.7
chh <- par()$cxy[2]
chw <- par()$cxy[1]

gp <- ggplot(data = possum, aes(y = totlngth, x = ""))
gp <- gp + stat_boxplot(geom = 'errorbar', width = .1)
gp <- gp + geom_boxplot(#width = .3,
                        outlier.color = "blue",
                        outlier.shape = 2)
gp <- gp + stat_summary(fun.y = mean,
                        geom = "point",
                        shape = 5,
                        size = 4)
gp <- gp + xlab(NULL)
gp <- gp + ylab(yLabel)
gp <- gp + theme(axis.ticks.x = element_blank(),
                 panel.grid.major = element_blank(),
                 panel.grid.minor = element_blank(),
                 panel.background = element_blank())

gp <- gp + geom_text(data = data.frame(), aes(x = top + 1.5 * chh,
                                            y = z$stats[5],
                                            label = "Largest value \n(there are no outliers)"
                                            ))

gp <- gp + geom_text(data = data.frame(), aes(x = top + 1.5 * chh,
                                              y = z$stats[4],
                                              label = "upper quartile"
                                              ))

gp <- gp + geom_text(data = data.frame(), aes(x = top + 1.5 * chh,
                                              y = z$stats[3],
                                              label = "median"
                                              ))

gp <- gp + geom_text(data = data.frame(), aes(x = top + 1.5 * chh,
                                              y = z$stats[2],
                                              label = "lower quartile"
                                              ))

gp <- gp + geom_text(data = data.frame(), aes(x = top + 1.5 * chh,
                                              y = z$stats[1],
                                              label = "Smallest value \n(outliers excepted)"
                                              ))
if (!is.null(z$out)) {
  gp <- gp + geom_text(data = data.frame(), aes(x = top + 1.5 * chh,
                                              y = z$out[1],
                                              label = "Outlier \n"
                                              ))
  # Display outlier
  gp <- gp + geom_text(data = data.frame(), aes( x = rep(top - chh, 2),
                                                 y = z$out[1] + .5,
                                                 label = c(format(round(z$out[1], 2)))))

}

av <- mean(z$stats[c(2, 4)])
q1 <- z$stats[2]
q3 <- z$stats[4]
qtop <- q3 + 0.5 * chh


# Largest Value
gp <- gp + geom_text(data = data.frame(), aes( x = rep(top - chh, 2),
                                               y = z$stats[5],
                                               label = c(format(round(z$stats[5], 2)))))


# Upper Quartile
gp <- gp + geom_text(data = data.frame(), aes( x = rep(top - chh, 2),
                                               y = q1,
                                               label = c(format(round(q1, 2)))))

# Lower Quartile
gp <- gp + geom_text(data = data.frame(), aes( x = rep(top - chh, 2),
                                               y = q3,
                                               label = c(format(round(q3, 2)))))

gp

p <- ggplotly(gp)
p

. boxpot :

• R, : John Maindonald; .

, 2010 , - .

Answer 3

, plotly, ggplot ggplotly? , ggplotly, , subplot , . , , graph.type "bar" , , hoverinfo = "text", , . , , X. ?