After numerous attempts, I found myself unable to achieve success. The structure of my data frame is quite straightforward:
df <- as.data.frame(matrix(c("g","d","a","b","z",5,4,3,2,1),5,2))
library("plotly")
p <- plot_ly(data = df,x = ~V1,y = ~V2,type = "scatter",mode = "lines+markers") %>%
layout(title = "my title")
p
This results in:
However, I am looking to maintain the original order on the x-axis without it being sorted alphabetically, and instead display a decreasing graph.
Let's start by addressing the fact that a matrix is limited to containing data of only one class at a time. Therefore, if you have a matrix of strings that you are transforming into a data.frame, it will automatically convert your character matrix into a data.frame with columns represented as factors. The levels of these two columns will be sorted alphabetically for V1 and in increasing order for V2.
If you prefer not to directly modify the source data to fix this issue - as suggested in other responses, an alternative approach would be to use the categoryorder = argument from plotly's layout() function in the following manner:
library(plotly)
xform <- list(categoryorder = "array",
categoryarray = df$V1)
plot_ly(data = df,
x = ~V1,
y = ~V2,
type = "scatter",
mode = "lines+markers") %>
layout(title = "my title",
xaxis = xform)
> data_frame <- as.data.frame(matrix(c("g","d","a","b","z",5,4,3,2,1),5,2))
> structure_data(data_frame)
'data.frame': 5 obs. of 2 variables:
$ V1: Factor w/ 5 levels "a","b","d","g",..: 4 3 1 2 5
$ V2: Factor w/ 5 levels "1","2","3","4",..: 5 4 3 2 1
> data_frame$V1
[1] g d a b z
Levels: a b d g z
> data_frame$V1 <- ordered(data_frame$V1, c("g","d","a","b","z"))
> data_frame$V1
[1] g d a b z
Levels: g < d < a < b < z
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