我希望创建一个曲线图,其中每个切片的颜色都是数据帧中的另一个变量。这在ggplot2中非常简单,然而,我正在努力将其转换为plotly。
我的示例代码如下:
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))
这是输出:
看起来我在"color“属性上做得不对。我希望有一个连续的比例配色方案,当评级变量接近0时最好是红色,当它接近1时是绿色。
谢谢。
发布于 2018-06-01 04:54:23
你可以
sorted_df <- dforder(df$Rating),
colorRampPalette
添加自定义颜色梯度<- gradient(dim(df)1)[as.numeric(cut(sorted_df$Rating,(c(‘red’,'green')) dim(df)1))]
= list(colors =~colors)标记
这给了你
颜色比例可能需要进行一些调整。
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))
https://stackoverflow.com/questions/50625970
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