Data
The data files are not short enough for the question. You can download them
The second dataset is actually a svg image, Springfield.svg
. I can read it using the svgparser
package:
# remotes::install_github('coolbutuseless/svgparser')
library(svgparser)
df <- svgparser::read_svg("Springfield.svg", obj_type = 'data.frame')
I can plot it as well:
ggplot()
geom_path(data = df,
aes(x, y,
group = interaction(elem_idx, path_idx)),
color = "grey50")
But it is upside down. Zooming in to the section where pos_df
is relevant and rotating the plot:
ggplot()
geom_path(data = df,
aes(x, y,
group = interaction(elem_idx, path_idx)),
color = "grey50")
coord_cartesian(xlim = c(30000, 44000),
ylim = c(5000, -7000))
I want to now combine the two datasets. But when I do, the pos_df
is also flipped:
ggplot()
geom_path(data = df,
aes(x, y,
group = interaction(elem_idx, path_idx)),
color = "grey50")
coord_cartesian(xlim = c(30000, 44000),
ylim = c(5000, -7000))
geom_path(data = pos_df, mapping = aes(ED_x, ED_y), color = "red")
theme_bw()
How can apply the coord limits to the df
only?
CodePudding user response:
One simple solution is to use -ED_y
:
ggplot()
geom_path(data = df,
aes(x, y,
group = interaction(elem_idx, path_idx)),
color = "grey50")
coord_cartesian(xlim = c(30000, 44000),
ylim = c(5000, -7000))
geom_path(data = pos_df, mapping = aes(ED_x, -ED_y), color = "red")
theme_bw()