R - plotly - hide colorbar

r colorbar plotly
kanimbla picture kanimbla · Aug 30, 2015 · Viewed 9.2k times · Source

How can I hide the colorbar in the following plotly example taken from their website? 

    df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')

# light grey boundaries
l <- list(color = toRGB("grey"), width = 0.5)

# specify map projection/options
g <- list(
  showframe = FALSE,
  showcoastlines = FALSE,
  projection = list(type = 'Mercator')
)

plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth',
        color = GDP..BILLIONS., colors = 'Blues', marker = list(line = l),
        colorbar = list(tickprefix = '$', title = 'GDP Billions US$'),
        filename="r-docs/world-choropleth") %>%
  layout(title = '2014 Global GDP<br>Source:<a href="https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html">CIA World Factbook</a>',
         geo = g)

The figure reference does not provide an answer: https://plot.ly/r/reference/#colorbar. I can hide the colorbar via editing the graph, but I would like to control this in the R code.

Answer

etpinard picture etpinard · Aug 31, 2015

Try adding showscale = FALSE at the trace level.

https://plot.ly/r/reference/#heatmap-showscale

Related questions

Plotting a raster with the color ramp diverging around zero

I am trying to plot a map with positive and negative values. All positive values should have red color while negative should have blue color and zero should have white just like in this sample plot with discrete colors Below …

Read More
Remove rows with all or some NAs (missing values) in data.frame

I'd like to remove the lines in this data frame that: a) contain NAs across all columns. Below is my example data frame. gene hsap mmul mmus rnor cfam 1 ENSG00000208234 0 NA NA NA NA 2 ENSG00000199674 0 2 2 2 2 3 ENSG00000221622 0 NA NA NA NA 4 …

Read More
Drop data frame columns by name

I have a number of columns that I would like to remove from a data frame. I know that we can delete them individually using something like: df$x <- NULL But I was hoping to do this with …

Read More