| ly_image_url {rbokeh} | R Documentation |
Renders raster images from URLs at provided coordinates
ly_image_url(fig, x = 0, y = 0, data = figure_data(fig), w = 10, h = 10, image_url, dilate = TRUE, anchor = "top_left", angle = 0, lname = NULL, lgroup = NULL, visible = TRUE)
fig |
figure to modify |
x |
x coordinates |
y |
y coordinates |
data |
an optional data frame, providing the source for inputs x, y, and other properties |
w, h |
values or field names of width and height of image |
image_url |
values or field name of image URLs |
dilate |
logical - whether to dilate pixel distance computations when drawing |
anchor |
where the image is anchored to with respect to |
angle |
values or field name of the angle to rotate the image, in radians |
lname |
layer name |
lgroup |
layer group |
visible |
should the layer be visible? |
Other layer functions: ly_abline,
ly_annular_wedge, ly_annulus,
ly_arc, ly_bar,
ly_bezier, ly_boxplot,
ly_contour, ly_crect,
ly_curve, ly_density,
ly_hist, ly_image,
ly_lines, ly_map,
ly_multi_line, ly_oval,
ly_patch, ly_points,
ly_polygons, ly_quadratic,
ly_quantile, ly_ray,
ly_rect, ly_segments,
ly_text, ly_wedge
url <- c("http://bokeh.pydata.org/en/latest/_static/bokeh-transparent.png",
"http://developer.r-project.org/Logo/Rlogo-4.png")
ss <- seq(0, 2*pi, length = 13)[-1]
ws <- runif(12, 2.5, 5) * rep(c(1, 0.8), 6)
imgdat <- data.frame(
x = sin(ss) * 10, y = cos(ss) * 10,
w = ws, h = ws * rep(c(1, 0.76), 6),
url = rep(url, 6)
)
p <- figure(xlab = "x", ylab = "y") %>%
ly_image_url(x, y, w = w, h = h, image_url = url, data = imgdat,
anchor = "center") %>%
ly_lines(sin(c(ss, ss[1])) * 10, cos(c(ss, ss[1])) * 10,
width = 15, alpha = 0.1)
p