R Shiny中的渐变彩色数据表行

Question

我想知道我们是否可以在 R Shiny 中做到这一点 example

# using styleColorBar
datatable(df) %>% formatStyle(names(df),
  background = styleColorBar(range(df), 'lightblue'),
  backgroundSize = '98% 88%',
  backgroundRepeat = 'no-repeat',
  backgroundPosition = 'center')

但是对于正值和负值有两种颜色，而且如果我们可以这样做，负值将作为条形长度的绝对值

祝你有个美好的一天！

Answer 1

您可以使用rowCallback手动完成

如你所见

sss=datatable(df) %>% formatStyle(names(df),
                              background = styleColorBar(range(df), 'lightblue'),
                              backgroundSize = '98% 88%',
                              backgroundRepeat = 'no-repeat',
                              backgroundPosition = 'center')


sss$x$options$rowCallback

为每一列生成：

函数（行，数据）{ var value=data[1];如果（值！==null） $(this.api().cell(行, 1).node()).css({'background':isNaN(parseFloat(value)) || value

所以：

1) 你需要计算范围变量：

rr=range(df)[2]-range(df)[1]
r1=range(df)[2]
r0=range(df)[1]

2) 比在rowCallback中使用它

  datatable(
  df,  
  options = list(
        rowCallback=JS(paste0("function(row, data) {",
                              paste(lapply(1:ncol(df),function(i){
                                paste0("var value=data[",i,"];
                                       if (value!==null){
                                       if(value<0){
                                       $(this.api().cell(row,",i,").node()).css({'background':isNaN(parseFloat(value)) || value <=",r0," ? '' : 'linear-gradient(90deg, transparent ' + (",r1," - value)/",rr," * 100 + '%, red ' + (",r1," - value)/",rr," * 100 + '%)','background-size':'98% 88%','background-repeat':'no-repeat','background-position':'center'});
                                       }else{
                                       $(this.api().cell(row,",i,").node()).css({'background':isNaN(parseFloat(value)) || value <=",r0," ? '' : 'linear-gradient(90deg, transparent ' + (",r1," - value)/",rr," * 100 + '%, lightblue ' + (",r1," - value)/",rr," * 100 + '%)','background-size':'98% 88%','background-repeat':'no-repeat','background-position':'center'});
                                       }
                                       } ") 
}),collapse="\n"),
"}"))
  )
) 

我在这里硬编码颜色（红色和浅蓝色）

结果

如果你想要不同的正负长度，你需要不同的范围变量或使用abs\ Math.abs - 绝对值（JS中的var和范围）

附言

JS 中列的编号从 0 开始，因此如果您没有行名，则需要 lapply 中的 0:(ncol(df)-1) 以获得正确的结果

更新

绝对值的范围 -1 :1 和色阶

df = as.data.frame(cbind(matrix(round(runif(50, -1, 1), 3), 10), sample(0:1, 10, TRUE)))


rr=range(abs(df))[2]-range(abs(df))[1]
r1=range(abs(df))[2]
r0=range(abs(df))[1]



datatable(
  df,  
  options = list(
        rowCallback=JS(paste0("function(row, data) {",
                              paste(lapply(1:ncol(df),function(i){
                                paste0("var value=Math.abs(data[",i,"]);
                                        var value2=data[",i,"];
                                       if (value!==null){
                                       if(value2<0){
                                       $(this.api().cell(row,",i,").node()).css({'background':isNaN(parseFloat(value)) || value <=",r0," ? '' : 'linear-gradient(90deg, transparent ' + (",r1," - value)/",rr," * 100 + '%, red ' + (",r1," - value)/",rr," * 100 + '%)','background-size':'98% 88%','background-repeat':'no-repeat','background-position':'center'});
                                       }else{
                                       $(this.api().cell(row,",i,").node()).css({'background':isNaN(parseFloat(value)) || value <=",r0," ? '' : 'linear-gradient(90deg, transparent ' + (",r1," - value)/",rr," * 100 + '%, lightblue ' + (",r1," - value)/",rr," * 100 + '%)','background-size':'98% 88%','background-repeat':'no-repeat','background-position':'center'});
                                       }
                                       } ") 
}),collapse="\n"),
"}"))
  )
)