Plotly (R) bar plot with custom color range

Question

I am creating a simple Plotly bar plot with following data, where the color of the individual Bars will be varying based on the respective values of the Bar. However range of the color should be defined i.e. ranging from Blue (smallest) to Red (highest)

df <- data.frame(x = c('a', 'B'), 
                 y = c(100, 50),
                 z = c(100, 50))


plot_ly(data = df, 
        x = ~x, 
        y = ~y, 
        marker = list(color = ~z), 
        colors = c("blue", "red"), 
        type = "bar")

Unfortunately Plotly displays Bar chart with something different Color-scheme. Could you please point me the right code .

Thanks in advance

SBista · Accepted Answer · 2017-06-01 11:52:01Z

1

I guess you want something like this:

plot_ly(data = df, 
            x = ~x, 
            y = ~y, 
            marker = list(color =c("blue", "red")), 
            type = "bar")

[EDIT]:

As per the comments I have edited the code. Hope this is what you want.

 df <- data.frame(x = c('a', 'B', "c", "d", "e"), 
                     y = c(100, 50, 20, 10, 100),
                     z = c(100, 50,  20, 10, 100))


    colfunc <- colorRampPalette(c("blue", "red"))
    pal <- colfunc(max(df$z))[df$z]

    plot_ly(data = df, 
            x = ~x, 
            y = ~y, 
            marker = list(color =  pal), 
            type = "bar")

edited Jun 1, 2017 at 11:52

answered Jun 1, 2017 at 10:32

SBista

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1 Comment

Bogaso Over a year ago

not really, Bar color to be picked from a pallet ranging from Blue to Red, and exact color will be based on value/height of the Bar. Means, if my Bar's height is very small then it will be closer to Blue, and high-height will be closer to Red. Please note : the data 'df' is not a static data.frame, it is calculated/derived based on some upstream calculation.

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