使用 scale_x_date 指定第一个和最后一个刻度线 [英] Specification of first and last tick marks with scale_x_date
问题描述
我希望能够指定出现在 ggplot2 生成的图中的第一个和最后一个刻度线,但遇到了一些问题.这是一些代码.
I would like to be able to specify the first and last tick marks which appear in a plot produced by ggplot2, but an running into some problems. Here is some code.
#Produce a vector of days
dateVec <- seq(from = as.Date("2011-11-21"), to = as.Date("2012-11-23"), by = "days")
#Some random values
myData <- rnorm(length(dateVec))
# Plot it
qplot(dateVec, myData) +
scale_x_date(breaks = "4 weeks", limits = c(min(dateVec), max=max(dateVec))) +
theme(axis.text.x = element_text(size = 10, angle = 45, colour = "black",
vjust = 1, hjust = 1))
请注意,日期向量中的最小日期是 2011-11-21,最大日期是 2012-11-23 并且我已经指定了绘图的限制.然而,情节似乎延长了一些.
Notice that the minimum date in the date vector is 2011-11-21 and the maximum date is 2012-11-23 and that I have specified the limits of the plot. However, the plot seems extended by some amount.
有没有办法强制第一个和最后一个刻度线对应于 scale_x_date
中指定的实际限制?
Is there a way to force the first and last tick marks to correspond to the actual limits specified in scale_x_date
?
谢谢!
推荐答案
为了确保轴不被扩展,您可以将参数 expand = c(0, 0)
添加到 scale_x_date()
.
To ensure that axis is not expanded you can add argument expand = c(0, 0)
to scale_x_date()
.
qplot(dateVec, myData) +
scale_x_date(breaks = "4 weeks", limits = c(min(dateVec), max = max(dateVec)),
expand=c(0,0)) +
theme(axis.text.x = element_text(size = 10, angle = 45, colour = "black",
vjust = 1, hjust = 1))
如果您需要以最小和最大日期开始的刻度,那么您可以定义自己的休息时间.为此,我制作了矢量 break.vec
包含最小和最大日期以及它们之间的月份日期.然后使用这个向量在 scale_x_date()
中设置中断.
If you need ticks that start with minimal and maximal dates then you can define your own breaks. For this I made vector break.vec
containing minimal and maximal date as well as dates by month between them. Then used this vector to set breaks in scale_x_date()
.
break.vec <- c(as.Date("2011-11-21"),
seq(from = as.Date("2011-12-01"), to = as.Date("2012-11-01"),
by = "month"),
as.Date("2012-11-23"))
qplot(dateVec, myData) +
scale_x_date(breaks = break.vec) +
theme(axis.text.x = element_text(size = 10, angle = 45, colour = "black",
vjust = 1, hjust = 1))
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