Colorscale for Scatter Plots
library(plotly)fig<-plot_ly(type='scatter',mode='markers',y=rep(5,40),marker=list(size=seq(0,39),color=seq(0,39),colorbar=list(title='Colorbar'),colorscale='Viridis',reversescale=T))fig<-fig%>%layout(xaxis=list(showgrid=F,zeroline=F),yaxis=list(showgrid=F,zeroline=F))Colorscale Contour
library(plotly)fig<-plot_ly(type='contour',z=matrix(c(10,10.625,12.5,15.625,20,5.625,6.25,8.125,11.25,15.625,2.5,3.125,5.,8.125,12.5,0.625,1.25,3.125,6.25,10.625,0,0.625,2.5,5.625,10),nrow=5,ncol=5))figShare Color Axis
This example shows how to specify the color scale and color bar per trace. To share colorscale information in multiple subplots, you can use coloraxis. Below we show how to set a reference coloraxis1 to a shared coloraxis, which are set in the layout. Note that multiple color scales can be linked to the same color.
library(plotly)fig1<-plot_ly(type="heatmap",x=c(1,2,3,4),z=list(c(1,2,3,4),c(4,-3,-1,1)),coloraxis='coloraxis')fig2<-plot_ly(type="heatmap",x=c(3,4,5,6),z=list(c(10,2,1,0),c(4,3,5,6)),coloraxis='coloraxis')fig<-subplot(fig1,fig2)fig<-fig%>%layout(coloraxis=list(colorscale='Jet'))figReference
See https://plotly.com/r/reference/#heatmap-colorscale for more information and options!
What About Dash?
Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.
Learn about how to install Dash for R at https://dashr.plot.ly/installation.
Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:
library(plotly)fig<-plot_ly()# fig <- fig %>% add_trace( ... )# fig <- fig %>% layout( ... ) library(dash)library(dashCoreComponents)library(dashHtmlComponents)app<-Dash$new()app$layout(htmlDiv(list(dccGraph(figure=fig))))app$run_server(debug=TRUE,dev_tools_hot_reload=FALSE)