I have created a plot using ggplot which moves the positions of the points.
But when I use the attribute dynamicTicks = TRUE the positions of the point goes back to default.
Is there any way I can override this to keep the positions I have specified?
Edited to add reproducible code.
library(tidyverse)
library(plotly)
df <- structure(list(SerialNumber = c("634", "634", "567", "634", "634",
"562", "567", "567", "562", "562", "634", "569", "634", "634",
"634", "634", "634", "634", "634", "634", "634", "634", "561",
"634", "569", "569", "634", "634", "634", "567", "567", "567",
"634", "634", "567", "567", "567", "634", "562", "569"), `_device` = c("module1",
"module1", "module1", "module1", "module2", "module4", "module2",
"module2", "module4", "module1", "module1", "module4", "module1",
"module1", "module1", "module1", "module1", "module1", "module3",
"module1", "module1", "module3", "module2", "module1", "module1",
"module1", "module1", "module1", "module2", "module1", "module1",
"module3", "module1", "module1", "module1", "module1", "module1",
"module1", "module1", "module4"), `_source_program` = c("program1",
"program2", "program3", "program2", "program4", "program2", "program2",
"program1", "program2", "program2", "program2", "program2", "program2",
"program2", "program2", "program2", "program2", "program2", "ONprogram3",
"program1", "program3", "ONprogram3", "program6", "program1",
"program6", "program2", "program4", "program6", "program4", "program6",
"program6", "ONprogram3", "program6", "program2", "program4",
"program6", "program6", "program2", "program6", "program2"),
date = structure(c(18891, 18906, 18937, 18940, 18943, 18949,
18952, 18956, 18966, 18972, 18983, 18981, 19007, 19023, 19036,
19036, 19037, 19066, 19072, 19082, 19082, 19088, 19086, 19091,
19106, 19106, 19115, 19109, 19122, 19142, 19145, 19151, 19149,
19149, 19157, 19157, 19169, 19175, 19185, 19192), class = "Date")), row.names = c(NA,
-40L), spec = structure(list(cols = list(SerialNumber = structure(list(), class = c("collector_double",
"collector")), `_device` = structure(list(), class = c("collector_character",
"collector")), `_source_program` = structure(list(), class = c("collector_character",
"collector")), date = structure(list(format = ""), class = c("collector_date",
"collector"))), default = structure(list(), class = c("collector_guess",
"collector")), delim = ","), class = "col_spec"), class = c("spec_tbl_df",
"tbl_df", "tbl", "data.frame"))
programs <- unique(df$`_source_program`)
nudgeAmounts <- ""
for (i in 1:length(programs)) {
if (i == 1) {
nudgeAmounts <- ifelse(df$`_source_program` == programs[i],as.double(paste0("0.", i)), 0)
} else {
nudgeAmounts <- ifelse(df$`_source_program` == programs[i],as.double(paste0("0.", i)), nudgeAmounts)
}
}
shapes <- c(15,16,17,18,7,8)
names(shapes) <- programs
g <- ggplot(df, aes(date, SerialNumber, shape = `_source_program` , color =`_device`))
geom_point(position = position_nudge(y = nudgeAmounts),
size = 3
)
theme_bw()
expand_limits(y = c(1, length(levels(as.factor(df$SerialNumber))) 1))
labs(y = "Serial Number", x = "Date")
scale_shape_manual(values = shapes)
g
ggplotly(g, dynamicTicks = TRUE)
CodePudding user response：
The only way I could get this to work was to shove it down Plotly's throat. I tried a lot of different ways. I couldn't even get it to work correctly while using only Plotly.
I made two ggplotly objects: one with dynamic ticks and one without them. Essentially, we are going to keep the x-axis from one and the y-axis from the other.
plt <- ggplotly(g, dynamicTicks = T)
plt2 <- ggplotly(g)
# replace xaxis layout in plt2
plt2$x$layout$xaxis <- plt$x$layout$xaxis
invisible(lapply(1:length(plt2$x$data), # replace x-axis for each trace
function(k) {
plt2$x$data[[k]]$x <<- plt$x$data[[k]]$x
}))
plt2 # dynamic x-axis; jittered y-axis
And zoomed in, to show the dynamic x-axis:
