I would like to understand how I can get plotly::ggplotly
to keep the x-axis labels and not convert them to numeric values? I converted the column in my data.frame
, used for the x-axis
labels, to characters to ensure they are not factors. What happens is the following:
ggplot
) shows the x-axis labels displayed correctly.ggplot
object above, plotly::ggplotly
is called and the results are that the x-axis labels are displayed incorrectly (as numeric values).plotly
directly (i.e. not using plotly::ggplotly
); this displays the correct results.I would like to know how I can get plotly::ggplotly
to display the x-axis labels correctly?
I have done some searching for this but didn't find anything.
Here are some of the key versions (packages, OS, etc.):
R version 3.6.0 (2019-04-26)
Platform: x86_64-pc-linux-gnu (64-bit)
[1] plotly_4.9.0
[1] ggplot2_3.3.0
Correct X-Axis Labels
library(dplyr)
### Convert "Species" column to character (i.e. ensure it is NOT a factor).
iris.v2 <- iris %>% dplyr::mutate(Species = as.character(Species))
str(iris.v2)
### Shows that Species is a "chr" type.
# 'data.frame': 150 obs. of 5 variables:
# $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ...
# $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ...
# $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ...
# $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ...
# $ Species : chr "setosa" "setosa" "setosa" "setosa" ...
### Correct x-axis labeling: Plot data using ggplot.
plt.iris <-
iris.v2 %>%
ggplot2::ggplot(aes(as.character(Species), Petal.Width)) +
ggplot2::geom_boxplot()
plt.iris
Incorrect X-Axis Labels
### Incorrect x-axis labeling: plot above plot with ggplotly.
pltly.iris <-
plotly::ggplotly(plt.iris)
pltly.iris
### Correct x-axis labeling: Plot data using plotly directly.
native.pltly.iris <-
plotly::plot_ly(iris.v2, x = ~Species, y = ~Petal.Width, type = "box")
native.pltly.iris
Correct X-Axis Labels
The issue is with the version of plotly
; updating from plotly_4.9.0
to plotly_4.9.2.1
fixes the issue. It is possible that any version of plotly
after 4.9.0
may fix the issue, but I have not tested that, I can only confirm that 4.9.2.1
fixes the issue for me.