Do we have something similar to our ggplot where
we define the color panel for each variable ?

scale_manual <- function(...){
ggplot2::manual_scale(
"fill",
values = setnames(c("green","red","blue","yellow","grey"),
c("var1","var2","var3","var4","var5")),
...
)
}

Please consider an reprex below:

library(plotly)

USPersonalExpenditure <- data.frame("Categorie"=rownames(USPersonalExpenditure), USPersonalExpenditure)
data <- USPersonalExpenditure[,c('Categorie', 'X1960')]

p <- plot_ly(data, labels = ~Categorie, values = ~X1960, type = 'pie') %>%
  layout(title = 'United States Personal Expenditures by Categories in 1960',
         xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
         yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))

#trial 1
plot_ly(data, labels = ~Categorie, values = ~X1960, type = 'pie', marker = list(color = rainbow(5))) %>%
layout(title = 'United States Personal Expenditures by Categories in 1960', 
xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))

# trial 2
plot_ly(data, labels = ~Categorie, values = ~X1960, type = 'pie', marker = list(color = brewer_pal(5, "Set3"))) %>%
layout(title = 'United States Personal Expenditures by Categories in 1960', 
xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))

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