问题
I have a basic data frame like this, and I am trying to plot x vs. y in plotly. It for some reason converts my x values to numeric (continuous scale) and plots instead of keeping them as factors. Any idea why it would do that and what I can do to make it behave differently (correctly)?
df <- data.frame(x = c(1, 2, 4, 8, 16, 32), y = 1:6)
df$x <- as.factor(df$x)
str(df)
'data.frame': 6 obs. of 2 variables:
$ x: Factor w/ 6 levels "1","2","4","8",..: 1 2 3 4 5 6
$ y: int 1 2 3 4 5 6
levels(df$x)
[1] "1" "2" "4" "8" "16" "32"
Plotting with ggplot, which obviously does the right thing:
library(ggplot2)
ggplot(df, aes(x = x, y = y)) + geom_point()
Plotting with plotly R, which treats x as a continuous value:
library(plotly)
plot_ly(df, x = x, y = y, mode = 'markers')
回答1:
If you only want to make it work as ggplot2 would, you can force the x variable in plotly to display the factor's labels:
library(plotly)
plot_ly(df, x = labels(x), y = y, mode = 'markers')
来源：https://stackoverflow.com/questions/37122216/plotly-r-converts-numeric-factor-levels-to-numeric-values