R绘图仪为条形图设置自定义颜色

在我闪亮的应用程序中，我有一个

plotly

条形图，我想在生成的条形图中设置每列的特定颜色

#Here's some reproducible data
df=data.frame(Month=c("Jan","Feb","Mar","Apr","May","Jun"),Criteria1=c(10,15,20,15,7,6),Criteria2=c(3,8,5,7,9,10),Criteria3=c(11,18,14,9,3,1))

#Plot

colNames <- names(df)[-1] #Month is the first column

# Here is where I set the colors for each `Criteria`, assuming that the order of colors follows the same order as the factor levels of the `Criteria`.

p <- plotly::plot_ly(marker=list(colors=c('#CC1480', '#FF9673', '#E1C8B4')))

for(trace in colNames){
  p <- p %>% plotly::add_trace(data = df, x = ~Month, y = as.formula(paste0("~`", trace, "`")), name = trace, type = "bar")
}

p %>% 
  layout(title = "Trend Over Time",showlegend = FALSE,
         xaxis = list(title = ""),
         yaxis = list (title = "Monthly Count of QoL Tweets"))

#这里有一些可复制的数据
df=数据帧（月=c（“一月”、“二月”、“三月”、“四月”、“五月”、“六月”），标准1=c（10,15,20,15,7,6），标准2=c（3,8,5,7,9,10），标准3=c（11,18,14,9,3,1））
#密谋
colNames您可以将颜色指定给向量：

colors <- c('#CC1480', '#FF9673', '#E1C8B4')

颜色我不认为这里有必要使用循环，当
df
熔化时，下面提供了对特定级别颜色选择的更多控制，单个级别
Criteria1
，
Criteria2
，
Criteria3

library(plotly)
library(reshape2)

#Yout data.frame
df <- data.frame(Month = c("Jan","Feb","Mar","Apr","May","Jun"),
                 Criteria1 = c(10,15,20,15,7,6),
                 Criteria2 = c(3,8,5,7,9,10),
                 Criteria3 = c(11,18,14,9,3,1))

melt(df, id.vars = 'Month') %>% plot_ly(x = ~Month, y = ~value, type = 'bar', 
  color = ~variable,
  colors = c(Criteria1 = '#CC1480', Criteria2 = '#FF9673', Criteria3 = '#E1C8B4'))

library（plotly）
图书馆（E2）
#Yout data.frame
df%绘图（x=~月，y=~值，类型='条形'，
颜色=~变量，
颜色=c（标准1='#CC1480'，标准2='#FF9673'，标准3='#E1C8B4'））

您可以添加您的输入数据或一些模拟数据吗？我已经编辑了我的问题，以包含一些可复制的数据。您不能将
df
引用为
df（）
抱歉，我忘了删除（）。但是它仍然没有按照我想要的顺序显示颜色
library("plotly")
df=data.frame(Month=c("Jan", "Feb","Mar", "Apr", "May", "Jun"),
              Criteria1 = c(10, 15,20,15,7,6),
              Criteria2 = c(3, 8, 5, 7, 9, 10),
              Criteria3 = c(11, 18, 14, 9, 3, 1))

colNames <- names(df)[-1] #Month is the first column
colors <- c('#CC1480', '#FF9673', '#E1C8B4')
p <- plotly::plot_ly()

#colNames = c('Criteria1')
for(trace in colNames){
  p <- plotly::add_trace(p, 
                         x = df$Month, 
                         y = df[,trace], 
                         marker = list(color = colors[[match(trace, colNames)]]), 
                         name = trace, 
                         type = "bar")
}

p

library(plotly)
library(reshape2)

#Yout data.frame
df <- data.frame(Month = c("Jan","Feb","Mar","Apr","May","Jun"),
                 Criteria1 = c(10,15,20,15,7,6),
                 Criteria2 = c(3,8,5,7,9,10),
                 Criteria3 = c(11,18,14,9,3,1))

melt(df, id.vars = 'Month') %>% plot_ly(x = ~Month, y = ~value, type = 'bar', 
  color = ~variable,
  colors = c(Criteria1 = '#CC1480', Criteria2 = '#FF9673', Criteria3 = '#E1C8B4'))