数据

Question

对于那些在多面网格中具有标签的标签，我想要更长的刻度线。因此，我研究了this attempt，并尝试将其调整为像这样的多面网格图：

定义次要和主要的休息和标签：

range.f <- range(unique(df1$weeks))
minor.f <- 1  # every 1 week, NOTE: range.f[2] should be divisible by minor.f!
major.f <- 5  # every 5 weeks

breaks.f <- seq(range.f[1], range.f[2], minor.f)

every_nth.lt <- function (x, nth) {x[1:nth != 1] <- ""; x}
# (lite version of https://stackoverflow.com/a/34533473/6574038
# works better for me than `insert_minor()`)

labels.f <- every_nth.lt(sequence(range.f[2]), major.f)

n_minor.f <- major.f / minor.f - 1

正态图：

library(ggplot2)
p.f <- ggplot(df1, aes(weeks, births)) +
  geom_bar(stat="identity", fill="#F48024") + theme_bw() +
  scale_x_continuous(breaks=breaks.f, labels=labels.f) +
  coord_cartesian(xlim=range.f) +
  facet_wrap(year ~ .) +
  theme(panel.grid = element_blank(),
        axis.text.x = element_text(margin=margin(t=5, unit="pt")))

操作图：

g.f <- ggplotGrob(p.f)
xaxis.f <- g.f$grobs[grep("^axis-b", g.f$layout$name)]  # get x-axes
ticks.f <- do.call(c, lapply(lapply(xaxis.f, "["), 
                             function(x) x$children[[2]]))  # get ticks
marks.f <- ticks.f$grobs[[1]]  # get tick marks
# editing y-positions of tick marks
marks.f$y <- unit.c(unit.c(unit(1, "npc") - unit(6, "pt"), 
                           unit(1, "npc"), 
                           rep(unit.c(unit(1, "npc") - unit(3, "pt"), 
                                      unit(1, "npc")), n_minor.f)))

# putting tick marks back into plot
ticks.f$grobs[[1]] <- marks.f
for(i in seq_along(xaxis.f)) {
  xaxis.f[[i]]$children[[2]]$grob <- ticks.f[[i]]
}
g.f$grobs[grep("^axis-b", g.f$layout$name)] <- xaxis.f

绘制图：

library(grid)
grid.newpage()
grid.draw(g.f)

产量：

我按照链接答案的所有步骤进行了操作，只是将其调整为适用于grob中有列表的情况。但是，较长的刻度不会出现。

有人看到我做错了吗？

或者，也许还有另一种方法来延长那些带有标签的轴刻度的轴刻度吗？

预期输出：

最后，所有三个图的刻度线应如下所示：

数据：

tmp <- data.frame(date=as.Date(sample(1:1095, 10000, replace=TRUE), 
                               origin="2014-01-01"),
                  births=sample(0:10, 10000, replace=TRUE))
tmp$year <- factor(substr(tmp$date, 1, 4))
df1 <- aggregate(births ~ date + year, tmp, sum)
rm(tmp)  # remove tmp
df1$weeks <- as.integer(strftime(lubridate::floor_date(as.Date(df1$date, 
                                                               format="%m/%d/%Y"), 
                                                       unit="week"), "%W")) + 1

Answer 1

我相信您可以对此进行改进。我只是仔细研究了一下，然后将东西正确拉出，然后放回去。通常是通过将其与单个图进行比较，然后使其遍历一组杂项来实现的。

范围和中断可能需要更改，因为它们都相同，但是使用不同的x-axes，您可以适当地自定义中断。

tmp <- data.frame(date=as.Date(sample(1:1095, 10000, replace=TRUE), 
                               origin="2014-01-01"),
                  births=sample(0:10, 10000, replace=TRUE))
tmp$year <- factor(substr(tmp$date, 1, 4))
df1 <- aggregate(births ~ date + year, tmp, sum)
rm(tmp)  # remove tmp
df1$weeks <- as.integer(strftime(lubridate::floor_date(as.Date(df1$date, 
                                                               format="%m/%d/%Y"), 
                                                       unit="week"), "%W")) + 1

# breaks and labels, minor and major
range.f <- 1:(max(unique(df1$weeks)))
minor.f <- 1  # every 1 week, NOTE: range.f[2] should be divisible by minor.f!
major.f <- 5  # every 5 weeks

breaks.f <- seq(min(range.f), max(range.f), minor.f)

every_nth.lt <- function (x, nth) {x[1:nth != 1] <- ""; x}
# (lite version of https://stackoverflow.com/a/34533473/6574038)

labels.f <- every_nth.lt(range.f, major.f)

n_minor.f <- major.f / minor.f - 1

# plot
library(ggplot2)
library(grid)
p.f <- ggplot(df1, aes(weeks, births)) +
  geom_bar(stat="identity", fill="#F48024") + theme_bw() +
  scale_x_continuous(breaks=breaks.f, labels=labels.f) +
  coord_cartesian(xlim=range.f) +
  facet_wrap(year ~ .) +
  theme(panel.grid = element_blank(),
        axis.text.x = element_text(margin=margin(t=5, unit="pt")))

# manipulating plot
g.f <- ggplotGrob(p.f)
xaxis.f <- g.f$grobs[grep("^axis-b", g.f$layout$name)]  # get x-axes


ticks.f <- c()
for(i in seq_along(xaxis.f)) {
  ticks.f[[i]] <- xaxis.f[[i]]$children[[2]]
}


marks.f <- c()
for(i in seq_along(ticks.f)) {
  marks.f[[i]] <- ticks.f[[i]][1]$grobs
}



# editing y-positions of tick marks
for(i in seq_along(marks.f)) {
  marks.f[[i]][[1]]$y <- unit.c(unit.c(unit(1, "npc") - unit(6, "pt"), 
                                       unit(1, "npc"), 
                                       rep(unit.c(unit(1, "npc") - unit(3, "pt"), 
                                                  unit(1, "npc")), n_minor.f)))
}
# putting tick marks back into plot
for(i in seq_along(ticks.f)) {
  ticks.f[[i]]$grobs[[1]] <- marks.f[[i]][[1]]
}

for(i in seq_along(xaxis.f)) {
  xaxis.f[[i]]$children[[2]] <- ticks.f[[i]]
}

g.f$grobs[grep("^axis-b", g.f$layout$name)] <- xaxis.f

# plot
grid.newpage()
grid.draw(g.f)

Answer 2

这是我开始的方式的修改后的代码，其中包含更少的sample_json = {} counter = 0 for data in sample: sample_json[counter] = data counter += 1 # Output from sample_json # {0: {'a': 'a', 'b': 'b'}, 1: {'a': 'a', 'b': 'b'}}循环。

keys

数据

for

如何延长刻面网格ggplot中的特定刻度线？

2 个答案:

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