Heatmaps in F#
How to make Heatmaps in F# with Plotly.
Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. Try Plotly Studio now.
Note: We are retiring documentation for R, MATLAB, Julia, and F# in November 2025. Learn more about this change here.
In [1]:
#r "nuget: Plotly.NET, 2.0.0-preview.8" #r "nuget: Plotly.NET.Interactive, 2.0.0-preview.8" #r "nuget: Deedle" #r "nuget: FSharp.Data" Basic Heatmap¶
In [2]:
open Plotly.NET let matrix = [[1.;1.5;0.7;2.7]; [2.;0.5;1.2;1.4]; [0.1;2.6;2.4;3.0];] let rownames = ["p3";"p2";"p1"] let colnames = ["Tp0";"Tp30";"Tp60";"Tp160"] let colorscaleValue = StyleParam.Colorscale.Custom [(0.0,"#3D9970");(1.0,"#001f3f")] Chart.Heatmap( data=matrix,ColNames=colnames,RowNames=rownames, Colorscale=colorscaleValue, Showscale=true ) |> Chart.withSize(700.,500.) |> Chart.withMarginSize(Left=200.) Out[2]:
In [3]:
open Deedle open FSharp.Data let volcano = Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv" |> fun csv -> Frame.ReadCsvString(csv,true,separators=",") Chart.Heatmap(data=Frame.toJaggedArray(volcano)) Out[3]:
Sequential Colorscales: Greys¶
In [4]:
open Deedle open FSharp.Data let volcano = Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv" |> fun csv -> Frame.ReadCsvString(csv,true,separators=",") Chart.Heatmap(data=Frame.toJaggedArray(volcano),Colorscale=StyleParam.Colorscale.Greys) Out[4]:
Custom colorscales¶
In [5]:
open Deedle open FSharp.Data let volcano = Http.RequestString "https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv" |> fun csv -> Frame.ReadCsvString(csv,true,separators=",") let customColorscale = StyleParam.Colorscale.Custom [(0.0,"red");(1.0,"green")] Chart.Heatmap(data=Frame.toJaggedArray(volcano),Colorscale=customColorscale) Out[5]: