使用ggplot2绘制重复的悬停信息

时间:2017-05-10 17:25:10

标签: r ggplot2 plotly

我有一个使用plotly和ggplot2的代码。当我将信息悬停时,内部信息会重复,这意味着它会为所有图形显示2条相同的TrendName信息行。例如,这是它在悬停信息中显示的内容

Month_Names:2011-05 Actual_volume:56488 TrendName:2010-11 - 2017-01 TrendName:2010-11 - 2017-01

如何仅显示1个TrendName?谢谢

这是我的代码

library(ggplot2)
library(dplyr)
library(tidyr)
library(plotly)

Month_Names <- c("2010-11","2010-12",
             "2011-01","2011-02","2011-03","2011-04","2011-05","2011-06","2011-07","2011-08","2011-09","2011-10","2011-11","2011-12",
             "2012-01","2012-02","2012-03","2012-04","2012-05","2012-06","2012-07","2012-08","2012-09","2012-10","2012-11","2012-12",
             "2013-01","2013-02","2013-03","2013-04","2013-05","2013-06","2013-07","2013-08","2013-09","2013-10","2013-11","2013-12",
             "2014-01","2014-02","2014-03","2014-04","2014-05","2014-06","2014-07","2014-08","2014-09","2014-10","2014-11","2014-12",
             "2015-01","2015-02","2015-03","2015-04","2015-05","2015-06","2015-07","2015-08","2015-09","2015-10","2015-11","2015-12",
             "2016-01","2016-02","2016-03","2016-04","2016-05","2016-06","2016-07","2016-08","2016-09","2016-10","2016-11","2016-12",
             "2017-01")
Actual_volume <- c(54447,57156,
               52033,49547,58718,53109,56488,60095,54683,60863,56692,55283,55504,56633,
               53267,52587,54680,55569,60013,56985,59709,61281,54188,59832,56489,55819,
               59295,52692,56663,59698,61232,57694,63111,60473,58984,64050,54957,63238,
               59460,54430,58901,61088,60496,62984,66895,62720,65591,67815,58289,72002,
               61054,60329,69283,68002,63196,72267,71058,69539,71379,70925,68704,76956,
               65863,70494,77348,70214,74770,77480,69721,83034,76761,77927,79768,81836,
               75381)

df_data <- data.frame(Month_Names, Actual_volume) 

trendDateRange1 <- c("2010-11-01", "2017-01-31")
trendDateRange2 <- c("2012-01-01", "2012-12-31")
trendDateRange3 <- c("2013-01-01", "2013-12-31")
numoftrends <- 3

trends <- data_frame(Start = c("2010-11", "2012-01", "2013-01"),
                 End = c("2017-01", "2012-12", "2013-12"))
combined_data <- df_data %>%
                 crossing(trends) %>%
                 mutate(Month_Names = as.character(Month_Names),
TrendName = paste(Start, End, sep = "-")) %>%
            filter(Month_Names >= Start,
                  Month_Names <= End)

p <- ggplot(combined_data, aes(Month_Names, y = Actual_volume,
                           group = TrendName,
                           color = TrendName)) +
     geom_line() +
     labs(x=" ",y=" ") +
     labs(title = "New plot title") +
     theme(plot.title = element_text(family = "Arial", color="blue", 
                              size=18),
     legend.title = element_blank(),
     axis.text.x = element_text(angle = 45, hjust = 1)
     )

ggplotly(p) %>% 
     layout(title = "New plot title", 
            legend = list(orientation = "h",x = 0.25, y = -.75),  
            annotations = list()
           ) 

1 个答案:

答案 0 :(得分:5)

构建aes对象时,ggplot中有4个变量。当您使用ggplotly时,它将使用工具提示中的所有映射美学。

要删除由groupcolor引起的重复,您需要在工具提示中指定要用作字符向量的项目。 (注意拼写颜色,您也可以使用group)。

ggplotly(p, tooltip = c("x","y","colour")) %>% 
  layout(title = "New plot title", 
         legend = list(orientation = "h",x = 0.25, y = -.75)
  )