时间为ggplot2

时间：2017-12-18 12:42:06

标签： r plot ggplot2 time

我很难在ggplot2盒子图上绘制Y轴的时间。

任何想法我如何能够呈现我的y轴作为时间？

目前，我的Y轴是数字，日期标签应用于该系列。

我更喜欢在Y轴上显示时间（HH：MM），而不是显示所有数据标签

我的数据：

structure(list(Date = structure(c(17511, 17512, 17513, 17514, 17515), class = "Date"), 
T.min = c(1513584134, 1513580301, 1513582918, 1513583058, 1513584465), 
T.mean = c(1513585975.14286, 1513584408.14286, 1513584580.57143, 1513583202.2, 1513585681), 
T.max = c(1513587691, 1513587419, 1513585508, 1513583516, 1513587100), 
min_labels = c("08:02", "06:58", "07:41", "07:44", "08:07"), 
mean_labels = c("08:32", "08:06", "08:09", "07:46", "08:28"), 
max_labels = c("09:01", "08:56", "08:25", "07:51", "08:51")), .Names = c("Date", "T.min", "T.mean", "T.max", "min_labels", "mean_labels", "max_labels"), row.names = c(NA, -5L), class = "data.frame")

我的情节（y轴和绘制的值是POSIXct格式）：

#Library
library(ggplot2)
library(scales)

#Plot
theme_set(theme_bw())
ggplot(df, aes(x = Date)) + 
  geom_boxplot(aes(ymin = T.min, lower = T.min, middle = T.mean, upper = T.max, ymax = T.max), 
           stat = "identity", fill = "antiquewhite", color = "black") + 
  geom_line(aes(x=Date, y=T.mean),color='firebrick2', size=3, show.legend = FALSE) +
  xlab('Shift Start Date') + 
  ylab('Time') +
  coord_cartesian( ylim =c(Y.min, Y.max) ) + 
  scale_x_date(date_labels =  "%d-%b", breaks = pretty_breaks(5)) + 
  theme(axis.text=element_text(size=15), axis.title=element_text(size=15,face="bold")) + 
  theme(axis.text.x = element_text(angle = 45, hjust = 1)) + 
  theme(axis.text.y = element_blank()) + 
  geom_text(aes(x=Date, y = T.min, label = min_labels), size=5, vjust=1.5, check_overlap=TRUE) + 
  geom_text(aes(x=Date, y = T.mean, label = mean_labels), size=5, vjust=-0.5, check_overlap=TRUE) + 
  geom_text(aes(x=Date, y = T.max, label = max_labels), size=5, vjust=-1.5, check_overlap=TRUE) + 
  theme(axis.text=element_text(size=15), axis.title=element_text(size=15,face="bold")) + 
  theme(axis.text.x = element_text(angle = 45, hjust = 1))

Current plot output

我的目标是什么（在MS Paint中添加的标签与数据不匹配，但你可以看到我想要的东西）:-) What I'm aiming for

2 个答案:

答案 0 :(得分：1)

这是我的尝试。鉴于1513584000表示2017-12-18 08:00:00 GMT，我在2017年12月18日的06:00到10:00之间找到了每30分钟的值。这些数字存储在nums。

nums <- seq(from = 1513584000 - 7200, to = 1513584000 + 7200, length.out = 9)

[1] 1513576800 1513578600 1513580400 1513582200 1513584000 1513585800 1513587600 1513589400
[9] 1513591200

然后，我将nums转换为日期对象，并使用format()提取小时和分钟。这允许我为y轴添加新标签。它们存储在labels中。 

labels <- as.POSIXct(nums, origin = "1970-01-01", tz = "GMT") %>%
          format("%H:%M")

# [1] "06:00" "06:30" "07:00" "07:30" "08:00" "08:30" "09:00" "09:30" "10:00"

我使用scale_y_continuous()更改了y比例。我使用limits中的最小值和最大值设置nums参数。

g <- ggplot(df, aes(x = Date)) + 
     geom_boxplot(aes(ymin = T.min, lower = T.min, middle = T.mean, upper = T.max, ymax = T.max), 
                  stat = "identity", fill = "antiquewhite", color = "black") + 
     geom_line(aes(x=Date, y=T.mean),color='firebrick2', size=3, show.legend = FALSE) +
     xlab('Shift Start Date') + 
     ylab('Time') +
     ylim(c(min(df$T.min)-1800, max(df$T.max)+ 1800)) +
     scale_x_date(date_labels =  "%d-%b", breaks = pretty_breaks(5)) + 
     theme(axis.text=element_text(size=15), axis.title=element_text(size=15,face="bold")) + 
     theme(axis.text.x = element_text(angle = 45, hjust = 1)) +  
     geom_text(aes(x=Date, y = T.min, label = min_labels), size=5, vjust=1.5, check_overlap=TRUE) + 
     geom_text(aes(x=Date, y = T.mean, label = mean_labels), size=5, vjust=-0.5, check_overlap=TRUE) + 
     geom_text(aes(x=Date, y = T.max, label = max_labels), size=5, vjust=-1.5, check_overlap=TRUE) + 
     theme(axis.text=element_text(size=15), axis.title=element_text(size=15,face="bold")) + 
     theme(axis.text.x = element_text(angle = 45, hjust = 1)) +
     scale_y_continuous(breaks = nums, labels = labels, limits = c(nums[1], nums[length(nums)]))

enter image description here

答案 1 :(得分：1)

感谢@Jazzurro。该方法通过一个小的调整，允许轴易于修改，以便在其他图中重复使用

最终输出（现在可以隐藏额外的数据标签） The Final Output

我确定的“最终”代码如下所示：

#Define Y-axis range (use half hour steps) in both POSIXct and numeric forms
Y.minT <- as.POSIXct("06:00:00" , format = "%H:%M:%S")
Y.maxT <- as.POSIXct("12:00:00" , format = "%H:%M:%S")
Y.min <- as.numeric(Y.minT)
Y.max <- as.numeric(Y.maxT)

#Create the axis breaks
nums <- seq(from = Y.min, to = Y.max, length.out = 1+abs(2 * difftime(Y.maxT, Y.minT)[[1]]))

#Create a vector of date labels
labels <- as.POSIXct(nums, origin = "1970-01-01", tz = "GMT") %>% format("%H:%M")

#Changed the y-axis as suggested, specifying 'breaks', 'labels' and 'limits'
#  scale_y_continuous(breaks = nums, labels = labels, limits = c(Y.min, Y.max))

#Plot
theme_set(theme_bw())
ggplot(df, aes(x = Date)) + 
  geom_boxplot(aes(ymin = T.min, lower = T.min, middle = T.mean, upper = T.max, ymax = T.max), 
           stat = "identity", fill = "antiquewhite", color = "black") + 
  geom_line(aes(x=Date, y=T.mean),color='firebrick2', size=3, show.legend = FALSE) +
  xlab('Date') + 
  ylab('Time') +
  scale_x_date(date_labels =  "%d-%b", breaks = pretty_breaks(5)) + 
  scale_y_continuous(breaks = nums, labels = labels, limits = c(Y.min, Y.max)) +
  theme(axis.text=element_text(size=15), axis.title=element_text(size=15,face="bold")) + 
  theme(axis.text.x = element_text(angle = 45, hjust = 1)) + 
  theme(axis.text=element_text(size=15), axis.title=element_text(size=15,face="bold")) + 
  theme(axis.text.x = element_text(angle = 45, hjust = 1)) + 
  #geom_text(aes(x = Date, y = T.min, label = min_labels), size=5, vjust=1.5, check_overlap=TRUE) + 
  #geom_text(aes(x=Date, y = T.max, label = max_labels), size=5, vjust=-1.5, check_overlap=TRUE) +
  geom_text(aes(x=Date, y = T.mean, label = mean_labels), size=5, vjust=-0.5, check_overlap=TRUE)
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