我正在尝试生成一个ggplot
,该ggplots
与#generate the list of plots:
set.seed(1)
plot.list <- vector(mode="list",2)
plot.list[[1]] <- ggplot(data.frame(group=rep(LETTERS[1:3],10),val=rnorm(30)),aes(val,color=group))+geom_density(adjust=1)+theme_minimal()
set.seed(10)
plot.list[[2]] <- ggplot(data.frame(group=rep(LETTERS[1:3],10),val=rnorm(30)),aes(val,color=group))+geom_density(adjust=1)+theme_minimal()
列表共享图例。
这是我的代码:
plot.list[[1]]
所以:
plot.list[[2]]
和
g <- ggplotGrob(plot.list[[1]]+theme_minimal()+theme(legend.position="right"))$grobs
legend <- g[[which(sapply(g, function(x) x$name) == "guide-box")]]
plot(legend)
lheight <- sum(legend$height)
lwidth <- sum(legend$width)
gl <- lapply(plot.list,function(x) x+theme_minimal()+theme(legend.position="none"))
gl <- c(gl,nrow=1,ncol=2)
combined <- switch(position,"bottom"=arrangeGrob(do.call(arrangeGrob,gl),
legend,
ncol=1,
heights = unit.c(unit(1, "npc") - lheight, lheight)),
"right" = arrangeGrob(do.call(arrangeGrob,gl),
legend,
ncol=2,
widths=unit.c(unit(1,"npc")-lwidth,lwidth)))
现在,制作一个分享他们传奇的情节:
plot(combined)
但是(combined
)会生成一个灰色背景的情节:
如何让def button (msg, x, y, w, h, ic, ac, action=None ):
mouse = pygame.mouse.get_pos()
click = pygame.mouse.get_pressed()
if (x+w > mouse[0] > x) and (y+h > mouse[1] > y):
pygame.draw.rect(watercycle, CYAN, (x, y, w, h))
if (click[0] == 1 and action != None):
if (action == "Start"):
game_loop()
elif (action == "Load"):
##Function that makes the loading of the saved file##
elif (action == "Exit"):
pygame.quit()
else:
pygame.draw.rect(watercycle, BLUE, (x, y, w, h))
smallText = pygame.font.Font("freesansbold.ttf", 20)
textSurf, textRect = text_objects(msg, smallText)
textRect.center = ( (x+(w/2)), (y+(h/2)) )
watercycle.blit(textSurf, textRect)
地块与单个地块具有相同的背景?
答案 0 :(得分:1)
也许你最好合并数据框并使用facet_wrap()
?
set.seed(1)
df1<-data.frame(group=rep(LETTERS[1:3],10),val=rnorm(30),dfz=1)
set.seed(10)
df2<-data.frame(group=rep(LETTERS[1:3],10),val=rnorm(30),dfz=2)
df<-rbind(df1,df2)#combine dataframes
ggplot(df,aes(val,color=group))+geom_density(adjust=1)+theme_minimal()+
facet_wrap(~dfz,scales='free') #facet_wrap by distinguishing column