CODEWITHSUNDEEP
rggplotly
GValER
GValER

Reputation: 47

Select data and name when pointing it chart with ggplotly

I did everything in ggplot, and it was everything working well. Now I need it to show data when I point a datapoint. In this example, the model (to identify point), and the disp and wt ( data in axis). For this I added the shape (same shape, I do not actually want different shapes) to model data. and asked ggplot not to show shape in legend. Then I convert to plotly. I succeeded in showing the data when I point the circles, but now I am having problems with the legend showing colors and shapes separated with a comma...

I did not wanted to make it again from scrach in plotly as I have no experience in plotly, and this is part of a much larger shiny project, where the chart adjust automatically the axis scales and adds trend lines the the chart among other things (I did not include for simplicity) that I do not know how to do it in plotly.

Many thanks in advance. I have tried a million ways for a couple of days now, and did not succeed.

# choose mtcars data and add rowname as column  as I want to link it to shapes in ggplot
data1 <- mtcars
data1$model <- rownames(mtcars)
# I turn cyl data to character as when charting it showed (Error: Continuous value supplied to discrete scale)
data1$cyl <- as.character(data1$cyl)

# linking colors with cylinders and shapes with models
ccolor <- c("#E57373","purple","green")
cylin <- c(6,4,8)  
# I actually do not want shapes to be different, only want to show data of model when I point the data point. 
models <- data1$model
sshapes <- rep(16,length(models)) 


# I am going to chart, do not want legend to show shape
graff <- ggplot(data1,aes(x=disp, y=wt,shape=model,col=cyl)) + 
  geom_point(size = 1) +
  ylab ("eje y") + xlab('eje x') +
  scale_color_manual(values= ccolor, breaks= cylin)+
  scale_shape_manual(values = sshapes, breaks = models)+
  guides(shape='none') # do not want shapes to show in legend

graff

chart is fine, but when converting to ggplotly, I am having trouble with the legend

# chart is fine, but when converting to ggplotly, I am having trouble with the legend

graffPP <- ggplotly(graff)
graffPP

legend is not the same as it was in ggplot

I succeeded in showing the model and data from axis when I point a datapoint in the chart... but now I am having problems with the legend....

Upvotes: 1

Views: 198

Answers (1)

stefan
stefan

Reputation: 124983

To the best of my knowledge there is no easy out-of-the box solution to achieve your desired result.

Using pure plotly you could achieve your result by assigning legendgroups which TBMK is not available using ggplotly. However, you could assign the legend groups manually by manipulating the plotly object returned by ggplotly.

Adapting my answer on this post to your case you could achieve your desired result like so:

library(plotly)

p <- ggplot(data1, aes(x = disp, y = wt, shape = model, col = cyl)) +
  geom_point(size = 1) +
  ylab("eje y") +
  xlab("eje x") +
  scale_color_manual(values = ccolor, breaks = cylin) +
  scale_shape_manual(values = sshapes, breaks = models) +
  guides(shape = "none")

gp <- ggplotly(p = p)

# Get the names of the legend entries
df <- data.frame(id = seq_along(gp$x$data), legend_entries = unlist(lapply(gp$x$data, `[[`, "name")))

# Extract the group identifier, i.e. the number of cylinders from the legend entries
df$legend_group <- gsub("^\\((\\d+).*?\\)", "\\1", df$legend_entries)

# Add an indicator for the first entry per group
df$is_first <- !duplicated(df$legend_group)

for (i in df$id) {
  # Is the layer the first entry of the group?
  is_first <- df$is_first[[i]]
  # Assign the group identifier to the name and legendgroup arguments
  gp$x$data[[i]]$name <- df$legend_group[[i]]
  gp$x$data[[i]]$legendgroup <- gp$x$data[[i]]$name
  # Show the legend only for the first layer of the group 
  if (!is_first) gp$x$data[[i]]$showlegend <- FALSE
}
gp

Upvotes: 1

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