fsharp-interactive-datascience

This extension requires F#5

F#5 is still in preview and has a nasty bug that freezes autocompletion

fsharp-interactive-datascience is a lightweight visualization tool to assist during data exploration and prototyping. In combination with ionide, VSCode becomes a very capable F# IDE for data science.

demo

map

Built-in features

Register "rich output" printers to FSI
Render plotly charts, latex expressions, SVG plots, HTML fragments, Markdown and text cells
Export Notebooks to HTML

Command Palette

F# Notebook+DataScience: Open Panel
F# Notebook+DataScience: Export Panel
F# Notebook+DataScience: Clear Panel

Settings

fsharpnotebook.styles: A list of CSS style sheets to use in notebooks.
fsharpnotebook.exportStyles: A list of CSS style sheets to use when exporting notebooks.

Configure Ionide-fsharp

Install F# 5: https://dotnet.microsoft.com/download/dotnet/5.0

Locate where fsharp-interactive-datascience extension is installed:

Windows %USERPROFILE%\.vscode\extensions\andriniaina.fsharp-interactive-datascience-*
macOS ~/.vscode/extensions/andriniaina.fsharp-interactive-datascience-*
Linux ~/.vscode/extensions/andriniaina.fsharp-interactive-datascience-*

Edit VSCode settings.json in the current workspace:

{
    "FSharp.fsiExtraParameters": [
        "--langversion:preview",
        "--load:path/to/extension/scripts/Notebook.fsx"
    ]
}

Open the notebook panel with the command Ctrl+Alt+P > "F# Notebook+DataScience: Open Panel"

You can now start coding in an *.fsx file.

Tip: Alt+Enter will execute the current line

Usage

Examples

// Ctrl+Alt+P : F# Notebook: Open Panel
// display markdown
Notebook.Markdown """
# Hello, Markdown!
"""
Notebook.Markdown @"This is cool $$x = {-b \pm \sqrt{b^2-4ac} \over 2a}.$$ isn't it"

// display primitive values
Notebook.Text (1+1)

// display dataframes
#r "nuget: Microsoft.Data.Analysis"
open Microsoft.Data.Analysis
let locations, alcohol =
    consumption.Rows
        |> Seq.map (fun row -> row.Location, row.Alcohol)
        |> List.ofSeq
        |> List.unzip
let df = new DataFrame(
    new StringDataFrameColumn("location", locations),
    new PrimitiveDataFrameColumn<decimal>("consumption", alcohol)
)
Notebook.DataFrame df

// display plotly chart
open XPlot.Plotly
open FSharp.Data
let marginWidth = 50.0
let margin = Margin(l = marginWidth, r = marginWidth, t = marginWidth, b = marginWidth)
type AlcoholConsumption = CsvProvider<"https://raw.githubusercontent.com/plotly/datasets/master/2010_alcohol_consumption_by_country.csv">
let consumption = AlcoholConsumption.Load("https://raw.githubusercontent.com/plotly/datasets/master/2010_alcohol_consumption_by_country.csv")
let locations = consumption.Rows |> Seq.map (fun r -> r.Location)
let z = consumption.Rows |> Seq.map (fun r -> r.Alcohol)
let map =
    Chart.Plot([ Choropleth(locations = locations, locationmode = "country names", z = z, autocolorscale = true) ])
    |> Chart.WithLayout(Layout(title = "Alcohol consumption", width = 700.0, margin = margin, geo = Geo(projection = Projection(``type`` = "mercator"))))
Notebook.Plotly map

Custom printers

open Notebook
fsi.AddPrinter(fun (data : YourType) ->
    ... // Format to string
    |> SVG // or HTML or Markdown or Text
    |> printerNotebook
)

let x = new YourType() // this will automatically print x in the notebook panel

Thanks

Pablo Belin was the first author of this extension

F# Notebook+DataScience

andriniaina