So I was reading this post and I fell a little in love with the calendar heat map with Tetris-style month breaks.
However, the ggplot
example doesn't implement the Tetris breaks, which are arguably the best part.
So, FTFY, gist here:
The procedure for this is:
left_join
your data to the Tetris breaks created in (1)ggplot
with some specially crafted geom
s The methodology for (1) is reasonably straightforward, implemented in the calendar_tetris_data(...)
function in the gist, though it would be nice to make it a little more flexible.
My question is mainly around (3): how do I bundle up the 7 geom
s necessary to make the breaks into a single procedure or geom
?
If I do this:
calendar_tetris_geoms <- function() {
geom_segment(aes(x=x, xend=x, y=ymin, yend=ymax)) + # (a)
geom_segment(aes(x=xmin, xend=xmax, y=y, yend=y)) + # (b)
geom_segment(aes(x=dec.x, xend=dec.x, y=dec.ymin, yend=dec.ymax)) + # (c)
geom_segment(aes(x=nye.xmin, xend=nye.xmax, y=nye.y, yend=nye.y)) + # (d)
geom_segment(x=-0.5, xend=51.5, y=7.5, yend=7.5) + # put a line along the top
geom_segment(x=0.5, xend=52.5, y=0.5, yend=0.5) + # put a line along the bottom
geom_text(aes(x=month.x, y=month.y, label=month.l), hjust=0.25) # (e)
}
And then try to add that to my ggplot
, it doesn't work:
> ggplot(data) + calendar_tetris_geoms()
Error in calendar_tetris_geoms() :
argument "plot" is missing, with no default
I clearly don't understand how this works. How does this work?
Modifying @baptiste's suggestion, if I do this:
calendar_tetris_geoms <- function() {
list(
geom_segment(aes(x=x, xend=x, y=ymin, yend=ymax)), # (a)
geom_segment(aes(x=xmin, xend=xmax, y=y, yend=y)), # (b)
geom_segment(aes(x=dec.x, xend=dec.x, y=dec.ymin, yend=dec.ymax)), # (c)
geom_segment(aes(x=nye.xmin, xend=nye.xmax, y=nye.y, yend=nye.y)), # (d)
geom_segment(x=-0.5, xend=51.5, y=7.5, yend=7.5), # put a line along the top
geom_segment(x=0.5, xend=52.5, y=0.5, yend=0.5), # put a line along the bottom
geom_text(aes(x=month.x, y=month.y, label=month.l), hjust=0.25) # (e)
)
}
Then this works a treat:
calendar_tetris_data(min(stock.data$date), max(stock.data$date)) %>%
left_join(stock.data) %>%
ggplot() +
geom_tile(aes(x=week, y=wday2factor(wday), fill = Adj.Close), colour = "white") +
calendar_tetris_geoms() +
facet_wrap(~ year, ncol = 1)
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