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/images/logo.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