跨单行格式化gt表的方法？

Question

我正在尝试使用条件格式化我的 gt 表，但有点停滞不前。我发现的大多数示例都是基于列标题的格式。

这是示例表的代码，其中第一列名为“row”，值为 1-6。我如何让 gt 表仅向第 1 行的值 > 3.0 添加颜色？这是我的第一个问题，如果我搞砸了，请道歉！

library(tidyverse)  
library(gt) 

iris %>%   
  group_by(Species) %>%   
  slice_max(Sepal.Length, n=5) %>%   
  group_by(Species) %>% 
  mutate(row=row_number()) %>% 
  pivot_longer(-c(Species, row)) %>%
  mutate(Species = str_to_title(Species),
         name = gsub("\\.", " ", name)) %>% 
  pivot_wider(names_from=c(Species, name), values_from=value)%>% 
  gt() %>% 
  tab_spanner_delim(
    delim="_"
  )

Answer 1

我们可以添加tab_style使用cell_fill，并指定locations与columns和rows

library(dplyr)
library(tidyr)
library(gt) 
library(stringr)

iris %>%   
  group_by(Species) %>%   
  slice_max(Sepal.Length, n=5) %>%   
  group_by(Species) %>% 
  mutate(row=row_number()) %>% 
  pivot_longer(-c(Species, row)) %>%
  mutate(Species = str_to_title(Species),
         name = gsub("\\.", " ", name)) %>% 
  pivot_wider(names_from=c(Species, name), values_from=value)%>% 
  gt() %>%
  tab_spanner_delim(
    delim="_"
  ) %>%
  
  tab_style(
    style = list(
      cell_fill(color = "lightgreen")
      
    ),
    locations = cells_body(
      columns = c(`Setosa_Sepal Length`, `Setosa_Sepal Width`,
  `Versicolor_Sepal Length`, `Versicolor_Sepal Width`, `Versicolor_Petal Length`,
    `Virginica_Sepal Length`,`Virginica_Sepal Width`, `Virginica_Petal Length`),
                
      rows = 1
    )
  )

-输出

更新

根据评论，如果我们需要为每一列使用一个条件，那么我们可以使用一个for循环来循环列名并添加条件层并更新原始gt对象（'tbl1'）

tbl1 <- iris %>%   
  group_by(Species) %>%   
  slice_max(Sepal.Length, n=5) %>%   
  group_by(Species) %>% 
  mutate(row=row_number()) %>% 
  pivot_longer(-c(Species, row)) %>%
  mutate(Species = str_to_title(Species),
         name = gsub("\\.", " ", name)) %>% 
  pivot_wider(names_from=c(Species, name), values_from=value)%>% 
  gt() %>%
  tab_spanner_delim(
    delim="_"
  ) 

nm1 <- names(tbl1$`_data`)[-1]

for(i in seq_along(nm1)) {
  
   tbl1 <- tbl1 %>%
     tab_style(
       style = list(
         cell_fill(color = "lightgreen")
         
       ),
       locations = cells_body(
         columns = nm1[i],
         
        rows = seq_along(tbl1$`_data`[[nm1[i]]]) == 1 &  
              tbl1$`_data`[[nm1[i]]] > 3 
       )
     )  
}

-输出