This is actually two questions in one (not sure if goes against SO rules, but anyway).
First question is how can I force a geom_text
to fit within a geom_bar
? (dynamically according to the values plotted)
Looking around, the solutions I found were changing the size of the label. That certainly works, but not for every case. You can change the size for a specific plot to make the text fit within the bar, but when the data changes, you may need to manually change the size of the text again. My real-life problem is that I need to generate the same plot for constantly changing data (daily), so I cannot really manually adjust the size for each plot.
I tried setting the size of the label as a function of the data. It kinda works, not perfectly, but works for many cases.
But here's another problem, even when the label fits within the bar, resizing the plot messes everything up. Looking into it, I also found in the ggplot documentation that
labels do have height and width, but they are physical units, not data units. The amount of space they occupy on that plot is not constant in data units: when you resize a plot, labels stay the same size, but the size of the axes changes.
Which takes me to my second question: Is it possible to change this default behaviour and let/make the labels resize with the plot?
And also let me refine my first question. Is it possible to force a geom_text
to fit within a geom_bar
, dynamically setting the size of the text using a clever relation between physical units and data units?
So, to follow good practice, here's my reproducible example:
set.seed(1234567)
data_gd <- data.frame(x = letters[1:5],
y = runif(5, 100, 99999))
ggplot(data = data_gd,
mapping = aes(x = x, y = y, fill = x)) +
geom_bar(stat = "identity") +
geom_text(mapping = aes(label = y, y = y/2))
This code produces this plot:
If I simply resize the plot, "labels stay the same size, but the size of the axes changes" thereby making the labels fit into the bars (now perhaps labels are even too small).
So, this is my second question. It would be nice that the labels resize as well and keep the aspect ration in relation to the bars. Any ideas how to accomplish this or if it is possible at all?
Ok, but going back to how to fit the labels within the bars, the simplest solution is to set the size of the labels.
ggplot(data = data_gd,
mapping = aes(x = x, y = y, fill = x)) +
geom_bar(stat = "identity") +
geom_text(mapping = aes(label = y, y = y/2), size = 3)
Again, this works as shown below, but it is not maintainable /nor robust to changes in the data.
For example, the very same code to generate the plot with different data yields catastrophic results.
data_gd <- data.frame(x = letters[1:30],
y = runif(30, 100, 99999))
ggplot(data = data_gd,
mapping = aes(x = x, y = y, fill = x)) +
geom_bar(stat = "identity") +
geom_text(mapping = aes(label = y, y = y/2), size = 3)
And I can go on with the examples, setting the size of the labels as a function of the number of categories on x-axis and so on. But you get the point, and perhaps one of you ggplot2
experts can give me ideas.
one option might be to write a geom that uses a textGrob with a custom drawDetails method to fit within the allocated space, set by the bar width.
library(grid)
library(ggplot2)
fitGrob <- function(label, x=0.5, y=0.5, width=1){
grob(x=x, y=y, width=width, label=label, cl = "fit")
}
drawDetails.fit <- function(x, recording=FALSE){
tw <- sapply(x$label, function(l) convertWidth(grobWidth(textGrob(l)), "native", valueOnly = TRUE))
cex <- x$width / tw
grid.text(x$label, x$x, x$y, gp=gpar(cex=cex), default.units = "native")
}
`%||%` <- ggplot2:::`%||%`
GeomFit <- ggproto("GeomFit", GeomRect,
required_aes = c("x", "label"),
setup_data = function(data, params) {
data$width <- data$width %||%
params$width %||% (resolution(data$x, FALSE) * 0.9)
transform(data,
ymin = pmin(y, 0), ymax = pmax(y, 0),
xmin = x - width / 2, xmax = x + width / 2, width = NULL
)
},
draw_panel = function(self, data, panel_scales, coord, width = NULL) {
bars <- ggproto_parent(GeomRect, self)$draw_panel(data, panel_scales, coord)
coords <- coord$transform(data, panel_scales)
width <- abs(coords$xmax - coords$xmin)
tg <- fitGrob(label=coords$label, y = coords$y/2, x = coords$x, width = width)
grobTree(bars, tg)
}
)
geom_fit <- function(mapping = NULL, data = NULL,
stat = "count", position = "stack",
...,
width = NULL,
binwidth = NULL,
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE) {
layer(
data = data,
mapping = mapping,
stat = stat,
geom = GeomFit,
position = position,
show.legend = show.legend,
inherit.aes = inherit.aes,
params = list(
width = width,
na.rm = na.rm,
...
)
)
}
set.seed(1234567)
data_gd <- data.frame(x = letters[1:5],
y = runif(5, 100, 99999))
ggplot(data = data_gd,
mapping = aes(x = x, y = y, fill = x, label=round(y))) +
geom_fit(stat = "identity") +
theme()
If horizontal bar charts are OK, then the issue is not the size of the labels but the placement. My solution would be
created by this code:
library(ggplot2)
data_gd <- data.frame(x = letters[1:26],
y = runif(26, 100, 99999))
ymid <- mean(range(data_gd$y))
ggplot(data = data_gd,
mapping = aes(x = x, y = y, fill = x)) +
geom_bar(stat = "identity") +
geom_text(mapping = aes(label = y, y = y,
hjust = ifelse(y < ymid, -0.1, 1.1)), size = 3) +
coord_flip()
The trick is done in three steps:
coord_flip
makes a horizontal bar chart.geom_text
uses also hjust
depending on the value of y. If the bar is shorter than half of the range of y, the text is printed outside of the bar (right to the y value). If the bar is longer than half of the range of y, the text is printed inside the bar (left to the y value). This makes sure that the text is always printed inside the plot area (if not too long at all).hjust = ifelse(y < ymid, 0, 1))
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