plotly和ggplot图例顺序交互

编程问答 2022-08-23

问题描述

我有多个图形，这些图形是用ggplot绘制的，然后发送到plotly。我根据最近的日期设置了图例顺序，以便可以轻松地解释图形。生成ggplot时，一切工作都很好，但是一旦我通过ggplotly（）发送它，图例顺序就会恢复为原始因子水平。我尝试重置这些因素，但这带来了一个新问题-每个图中的颜色都不同。

以下是代码：
数据：

Country  <-  c("CHN","IND","INS","PAK","USA")
  a <- data.frame("Country" = Country,"Pop" = c(1400,1300,267,233,330),Year=rep(2020,5))
  b <- data.frame("Country" = Country,"Pop" = c(1270,1000,215,152,280),Year=rep(2000,5))
  c <- data.frame("Country" = Country,"Pop" = c(1100,815,175,107,250),Year=rep(1990,5))
  Data <- bind_rows(a,b,c)

Legend Ordering Vector-以2020作为确定订单的年份。

Legend_Order <- Data %>% 
    filter(Year==max(Year)) %>% 
    arrange(desc(Pop)) %>% 
    select(Country) %>% 
    unlist() %>% 
    as.vector()

然后我创建情节并使用“传奇顺序”作为休假

Graph <- Data %>% 
    ggplot() + 
    geom_line(aes(x = Year,y = Pop,group = Country,color = Country),size = 1.2) + 
    scale_color_discrete(name = 'Country',breaks = Legend_Order)
Graph

但是当我将其传递给：

ggplotly(Graph)

出于某些原因，会忽略地忽略breaks参数并使用原始因子水平。 如果我预先设置因子级别，则配色方案会发生变化（因为因子的顺序不同）。

如何在图形之间保持配色方案，但是在使用plotly时如何更改图例顺序？

解决方法

只需按照Conutry设置的级别将Legend_Order var作为因子重新编码。试试这个：

library(plotly)
library(dplyr)
Country  <-  c("CHN","IND","INS","PAK","USA")
a <- data.frame("Country" = Country,"Pop" = c(1400,1300,267,233,330),Year=rep(2020,5))
b <- data.frame("Country" = Country,"Pop" = c(1270,1000,215,152,280),Year=rep(2000,5))
c <- data.frame("Country" = Country,"Pop" = c(1100,815,175,107,250),Year=rep(1990,5))
Data <- bind_rows(a,b,c)

Legend_Order <- Data %>% 
  filter(Year==max(Year)) %>% 
  arrange(desc(Pop)) %>% 
  select(Country) %>% 
  unlist() %>% 
  as.vector()
Data$Country <- factor(Data$Country,levels = Legend_Order)

Graph <- Data %>% 
  ggplot() + 
  geom_line(aes(x = Year,y = Pop,group = Country,color = Country),size = 1.2)

ggplotly(Graph)

enter image description here

要“锁定”颜色分配，您可以像这样使用命名的颜色矢量（简而言之，我只显示ggplots）：

# Fix the color assignments using a named color vector which can be assigned via scale_color_manual
cols <- scales::hue_pal()(5) # Default ggplot2 colors
cols <- setNames(cols,Legend_Order) # Set names according to legend order

# Plot with unordered Countries but "ordered" color assignment
Data %>% 
  ggplot() + 
  geom_line(aes(x = Year,size = 1.2) +
  scale_color_manual(values = cols)


# Plot with ordered factor
Data$Country <- factor(Data$Country,levels = Legend_Order)

Data %>% 
  ggplot() + 
  geom_line(aes(x = Year,size = 1.2) +
  scale_color_manual(values = cols)

ggplot2ggplotlyrr