我希望创建一个图表图表,其中每个切片的颜色在数据框中是另一个变量。这在ggplot2中非常简单,但是,我很难将其转换为情节。
我的示例代码在这里:
Product <- c("Product1","Product2","Product3","Product4","Product5","Product6","Product7")
Value <- c(1000000,200002,599996,1399994,2199992,2999990,3799988)
Rating = c(0.24, 0.28, 0.17, 0.1, 0.5, 0.6, 0.34)
df <- data.frame(Product,Value, Rating)
plot_ly(df, labels = ~Product, values = ~Value, type = 'pie', textinfo = 'label+percent',
marker = list(color = ~Rating)) %>%
layout(xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))
似乎我没有采用&#34;颜色&#34;属性。我希望有一个连续的比例颜色方案,当Rating变量接近0时最好是红色,当接近1时接近绿色。
感谢。
答案 0 :(得分:3)
你可以
对数据框进行排序
sorted_df <- df[order(df$Rating),]
使用colorRampPalette
gradient <- colorRampPalette(c('red', 'green'))
sorted_df$colors <- gradient(dim(df)[1])[as.numeric(cut(sorted_df$Rating,
breaks = dim(df)[1]))]
为您的情节指定颜色
marker = list(colors = ~colors)
色标可以使用一些调整。
Product <- c("Product1","Product2","Product3","Product4","Product5","Product6","Product7")
Value <- c(1000000,200002,599996,1399994,2199992,2999990,3799988)
Rating = c(0.24, 0.28, 0.17, 0.1, 0.5, 0.6, 0.34)
df <- data.frame(Product,Value, Rating)
sorted_df <- df[order(df$Rating),]
gradient <- colorRampPalette(c('red', 'green'))
sorted_df$colors <- gradient(dim(df)[1])[as.numeric(cut(sorted_df$Rating,
breaks = dim(df)[1]))]
plot_ly(sorted_df, labels = ~Product, values = ~Value, type = 'pie', textinfo = 'label+percent',
marker = list(colors = ~colors)) %>%
layout(xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))