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Box plots in Fsharp
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Box Plots in F#

How to make Box Plots in F# with Plotly.


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In [1]:
#r "nuget: Plotly.NET,  2.0.0-preview.8"
#r "nuget: Plotly.NET.Interactive,  2.0.0-preview.8"
Installed Packages
  • Plotly.NET, 2.0.0-preview.8
  • Plotly.NET.Interactive, 2.0.0-preview.8

Loading extensions from Plotly.NET.Interactive.dll

Added Kernel Extension including formatters for Plotly.NET charts.

Basic Boxplot

In [2]:
open Plotly.NET 
let y =  [2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1.]
let x = ["bin1";"bin2";"bin1";"bin2";"bin1";"bin2";"bin1";"bin1";"bin2";"bin1"]

Chart.BoxPlot(x,y,Jitter=0.1,Boxpoints=StyleParam.Boxpoints.All)
Out[2]:

Choosing The Algorithm For Computing Quartiles

By default, quartiles for box plots are computed using the linear method (for more about linear interpolation, see #10 listed on http://www.amstat.org/publications/jse/v14n3/langford.html and https://en.wikipedia.org/wiki/Quartile for more details).

However, you can also choose to use an exclusive or an inclusive algorithm to compute quartiles.

The exclusive algorithm uses the median to divide the ordered dataset into two halves. If the sample is odd, it does not include the median in either half. Q1 is then the median of the lower half and Q3 is the median of the upper half.

The inclusive algorithm also uses the median to divide the ordered dataset into two halves, but if the sample is odd, it includes the median in both halves. Q1 is then the median of the lower half and Q3 the median of the upper half.

In [3]:
let y' =  [2.; 1.5; 5.; 1.5; 2.; 2.5; 2.1; 2.5; 1.5; 1.;2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1.]


Chart.BoxPlot(x,y',Boxpoints=StyleParam.Boxpoints.All,QuartileMethod=StyleParam.QuartileMethod.Exclusive) //Inclusive or "Linear" by default
Out[3]:

Modifying The Algorithm For Computing Quartiles

For an explanation of how each algorithm works, see Choosing The Algorithm For Computing Quartiles

In [4]:
let y =  [1;2;3;4;5]

[
    Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,QuartileMethod=StyleParam.QuartileMethod.Linear,Name="Linear Quartile");
    Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,QuartileMethod=StyleParam.QuartileMethod.Inclusive,Name="Inclusive Quartile");
    Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,QuartileMethod=StyleParam.QuartileMethod.Exclusive,Name="Exclusive Quartile")]

|> Chart.combine
Out[4]:

Horizontal Boxplot

In [5]:
let x1 =  [1;2;3;4;5]

let x2 =  [1;2;4;5;6;9]

[
    Chart.BoxPlot(x=x1,Boxpoints=StyleParam.Boxpoints.All);
    Chart.BoxPlot(x=x2,Boxpoints=StyleParam.Boxpoints.All)
]
|> Chart.combine
Out[5]:

Adding Jittered Points

In [6]:
let y =  [2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1.]

Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,Jitter=0.5,Pointpos= -1.8)
Out[6]:

Styled box plot

In [7]:
let y =  [2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1.]

Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,Jitter=0.5,Notched=true,Color=Color.fromString "red",Name="Styled box plot")
Out[7]:

Box Plot Styling Mean & Standard Deviation

In [8]:
open Plotly.NET.TraceObjects

let y=[2.37; 2.16; 4.82; 1.73; 1.04; 0.23; 1.32; 2.91; 0.11; 4.51; 0.51; 3.75; 1.35; 2.98; 4.50; 0.18; 4.66; 1.30; 2.06; 1.19]

[
    Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,Jitter=0.5,Notched=true,Marker=Marker.init(Color=Color.fromString "red"),Boxmean=StyleParam.BoxMean.True,Name="Only Mean");
    Chart.BoxPlot(y=y,Boxpoints=StyleParam.Boxpoints.All,Jitter=0.5,Notched=true,Marker=Marker.init(Color=Color.fromString  "blue"),Boxmean=StyleParam.BoxMean.SD,Name="Mean & SD")]
|> Chart.combine
Out[8]:

Grouped Box plots

In [ ]:

Styling Outliers