在单行中格式化 gt table 的方法?

Way to format gt table across a single row?

我正在尝试根据条件格式化我的 gt table,但有点停滞不前。我发现的大多数示例都是基于 headers.

列的格式

这是示例代码 table,其中第一列名为“行”,值 1-6。我如何让 gt table 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,请见谅!

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="_"
  )

我们可以用 cell_fill 添加 tab_style 并用 columnsrows

指定 locations
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条件,那么我们可以使用 for 循环遍历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

如果您只想突出显示值大于 3 的单元格 - 这意味着您不想像 akrun 那样通过名称通知它们 - 恐怕您必须使用蛮力(每列的条件)。我为前 5 列工作,因为它只是重复:

library(tidyverse)
library(gt) 

df <- 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) 

df%>% 
  gt() %>% 
 tab_style(
    style = list(
      cell_fill(color = "lightgreen")
      ),
    locations = cells_body(
                 columns =  vars(`Setosa_Sepal Length`),
                 rows = row == 1 & `Setosa_Sepal Length` > 3
    )) %>%
 tab_style(
    style = list(
      cell_fill(color = "lightgreen")
      ),
    locations = cells_body(
                 columns =  vars(`Setosa_Sepal Width`),
                 rows = row == 1 & `Setosa_Sepal Width` > 3
    )) %>%
 tab_style(
    style = list(
      cell_fill(color = "lightgreen")
      ),
    locations = cells_body(
                 columns =  vars(`Setosa_Petal Length`),
                 rows = row == 1 & `Setosa_Petal Length` > 3
    )) %>%
 tab_style(
    style = list(
      cell_fill(color = "lightgreen")
      ),
    locations = cells_body(
                 columns =  vars(`Setosa_Petal Width`),
                 rows = row == 1 & `Setosa_Petal Width` > 3
    )) %>%
 tab_style(
    style = list(
      cell_fill(color = "lightgreen")
      ),
    locations = cells_body(
                 columns =  vars(`Versicolor_Sepal Length`),
                 rows = row == 1 & `Versicolor_Sepal Length` > 3
    )) %>% 
  tab_spanner_delim(
    delim="_"
  )