2D Histograms
Summary: This example shows how to create a bi-dimensional histogram of two data samples in F#.
Let's first create some data for the purpose of creating example charts:
open Plotly.NET
//---------------------- generate random normally distributed data ----------------------
let normal (rnd: System.Random) mu tau =
let mutable v1 = 2.0 * rnd.NextDouble() - 1.0
let mutable v2 = 2.0 * rnd.NextDouble() - 1.0
let mutable r = v1 * v1 + v2 * v2
while (r >= 1.0 || r = 0.0) do
v1 <- 2.0 * rnd.NextDouble() - 1.0
v2 <- 2.0 * rnd.NextDouble() - 1.0
r <- v1 * v1 + v2 * v2
let fac = sqrt (-2.0 * (log r) / r)
(tau * v1 * fac + mu)
let rnd = System.Random()
let n = 2000
let a = -1.
let b = 1.2
let step i = a + ((b - a) / float (n - 1)) * float i
//---------------------- generate data distributed in x and y direction ----------------------
let x = Array.init n (fun i -> ((step i) ** 3.) + (0.3 * (normal (rnd) 0. 2.)))
let y = Array.init n (fun i -> ((step i) ** 6.) + (0.3 * (normal (rnd) 0. 2.)))
A Histogram2D chart can be created using the Chart.Histogram2D or Chart.Histogram2DContour functions.
let histogramContour =
Chart.Histogram2DContour(x = x, y = y, ContourLine = Line.init (Width = 0.))
let histogram2D = Chart.Histogram2D(x = x, y = y)
namespace Plotly
namespace Plotly.NET
module Defaults
from Plotly.NET
<summary> Contains mutable global default values. Changing these values will apply the default values to all consecutive Chart generations. </summary>
<summary> Contains mutable global default values. Changing these values will apply the default values to all consecutive Chart generations. </summary>
val mutable DefaultDisplayOptions: DisplayOptions
Multiple items
type DisplayOptions = inherit DynamicObj new: unit -> DisplayOptions static member addAdditionalHeadTags: additionalHeadTags: XmlNode list -> (DisplayOptions -> DisplayOptions) static member addDescription: description: XmlNode list -> (DisplayOptions -> DisplayOptions) static member combine: first: DisplayOptions -> second: DisplayOptions -> DisplayOptions static member getAdditionalHeadTags: displayOpts: DisplayOptions -> XmlNode list static member getDescription: displayOpts: DisplayOptions -> XmlNode list static member getPlotlyReference: displayOpts: DisplayOptions -> PlotlyJSReference static member init: ?AdditionalHeadTags: XmlNode list * ?Description: XmlNode list * ?PlotlyJSReference: PlotlyJSReference -> DisplayOptions static member initCDNOnly: unit -> DisplayOptions ...
--------------------
new: unit -> DisplayOptions
type DisplayOptions = inherit DynamicObj new: unit -> DisplayOptions static member addAdditionalHeadTags: additionalHeadTags: XmlNode list -> (DisplayOptions -> DisplayOptions) static member addDescription: description: XmlNode list -> (DisplayOptions -> DisplayOptions) static member combine: first: DisplayOptions -> second: DisplayOptions -> DisplayOptions static member getAdditionalHeadTags: displayOpts: DisplayOptions -> XmlNode list static member getDescription: displayOpts: DisplayOptions -> XmlNode list static member getPlotlyReference: displayOpts: DisplayOptions -> PlotlyJSReference static member init: ?AdditionalHeadTags: XmlNode list * ?Description: XmlNode list * ?PlotlyJSReference: PlotlyJSReference -> DisplayOptions static member initCDNOnly: unit -> DisplayOptions ...
--------------------
new: unit -> DisplayOptions
static member DisplayOptions.init: ?AdditionalHeadTags: Giraffe.ViewEngine.HtmlElements.XmlNode list * ?Description: Giraffe.ViewEngine.HtmlElements.XmlNode list * ?PlotlyJSReference: PlotlyJSReference -> DisplayOptions
type PlotlyJSReference =
| CDN of string
| Full
| Require of string
| NoReference
<summary> Sets how plotly is referenced in the head of html docs. </summary>
<summary> Sets how plotly is referenced in the head of html docs. </summary>
union case PlotlyJSReference.NoReference: PlotlyJSReference
val normal: rnd: System.Random -> mu: float -> tau: float -> float
val rnd: System.Random
namespace System
Multiple items
type Random = new: unit -> unit + 1 overload member Next: unit -> int + 2 overloads member NextBytes: buffer: byte[] -> unit + 1 overload member NextDouble: unit -> float member NextInt64: unit -> int64 + 2 overloads member NextSingle: unit -> float32 static member Shared: Random
<summary>Represents a pseudo-random number generator, which is an algorithm that produces a sequence of numbers that meet certain statistical requirements for randomness.</summary>
--------------------
System.Random() : System.Random
System.Random(Seed: int) : System.Random
type Random = new: unit -> unit + 1 overload member Next: unit -> int + 2 overloads member NextBytes: buffer: byte[] -> unit + 1 overload member NextDouble: unit -> float member NextInt64: unit -> int64 + 2 overloads member NextSingle: unit -> float32 static member Shared: Random
<summary>Represents a pseudo-random number generator, which is an algorithm that produces a sequence of numbers that meet certain statistical requirements for randomness.</summary>
--------------------
System.Random() : System.Random
System.Random(Seed: int) : System.Random
val mu: float
val tau: float
val mutable v1: float
System.Random.NextDouble() : float
val mutable v2: float
val mutable r: float
val fac: float
val sqrt: value: 'T -> 'U (requires member Sqrt)
<summary>Square root of the given number</summary>
<param name="value">The input value.</param>
<returns>The square root of the input.</returns>
<example id="log-example"><code lang="fsharp"> sqrt 2.0 // Evaluates to 1.414213562 sqrt 100.0 // Evaluates to 10.0 </code></example>
<summary>Square root of the given number</summary>
<param name="value">The input value.</param>
<returns>The square root of the input.</returns>
<example id="log-example"><code lang="fsharp"> sqrt 2.0 // Evaluates to 1.414213562 sqrt 100.0 // Evaluates to 10.0 </code></example>
val log: value: 'T -> 'T (requires member Log)
<summary>Natural logarithm of the given number</summary>
<param name="value">The input value.</param>
<returns>The natural logarithm of the input.</returns>
<example id="log-example"><code lang="fsharp"> let logBase baseNumber value = (log value) / (log baseNumber) logBase 2.0 32.0 // Evaluates to 5.0 logBase 10.0 1000.0 // Evaluates to 3.0 </code></example>
<summary>Natural logarithm of the given number</summary>
<param name="value">The input value.</param>
<returns>The natural logarithm of the input.</returns>
<example id="log-example"><code lang="fsharp"> let logBase baseNumber value = (log value) / (log baseNumber) logBase 2.0 32.0 // Evaluates to 5.0 logBase 10.0 1000.0 // Evaluates to 3.0 </code></example>
val n: int
val a: float
val b: float
val step: i: int -> float
val i: int
Multiple items
val float: value: 'T -> float (requires member op_Explicit)
<summary>Converts the argument to 64-bit float. This is a direct conversion for all primitive numeric types. For strings, the input is converted using <c>Double.Parse()</c> with InvariantCulture settings. Otherwise the operation requires an appropriate static conversion method on the input type.</summary>
<param name="value">The input value.</param>
<returns>The converted float</returns>
<example id="float-example"><code lang="fsharp"></code></example>
--------------------
[<Struct>] type float = System.Double
<summary>An abbreviation for the CLI type <see cref="T:System.Double" />.</summary>
<category>Basic Types</category>
--------------------
type float<'Measure> = float
<summary>The type of double-precision floating point numbers, annotated with a unit of measure. The unit of measure is erased in compiled code and when values of this type are analyzed using reflection. The type is representationally equivalent to <see cref="T:System.Double" />.</summary>
<category index="6">Basic Types with Units of Measure</category>
val float: value: 'T -> float (requires member op_Explicit)
<summary>Converts the argument to 64-bit float. This is a direct conversion for all primitive numeric types. For strings, the input is converted using <c>Double.Parse()</c> with InvariantCulture settings. Otherwise the operation requires an appropriate static conversion method on the input type.</summary>
<param name="value">The input value.</param>
<returns>The converted float</returns>
<example id="float-example"><code lang="fsharp"></code></example>
--------------------
[<Struct>] type float = System.Double
<summary>An abbreviation for the CLI type <see cref="T:System.Double" />.</summary>
<category>Basic Types</category>
--------------------
type float<'Measure> = float
<summary>The type of double-precision floating point numbers, annotated with a unit of measure. The unit of measure is erased in compiled code and when values of this type are analyzed using reflection. The type is representationally equivalent to <see cref="T:System.Double" />.</summary>
<category index="6">Basic Types with Units of Measure</category>
val x: float[]
module Array
from Microsoft.FSharp.Collections
<summary>Contains operations for working with arrays.</summary>
<remarks> See also <a href="https://docs.microsoft.com/dotnet/fsharp/language-reference/arrays">F# Language Guide - Arrays</a>. </remarks>
<summary>Contains operations for working with arrays.</summary>
<remarks> See also <a href="https://docs.microsoft.com/dotnet/fsharp/language-reference/arrays">F# Language Guide - Arrays</a>. </remarks>
val init: count: int -> initializer: (int -> 'T) -> 'T[]
<summary>Creates an array given the dimension and a generator function to compute the elements.</summary>
<param name="count">The number of elements to initialize.</param>
<param name="initializer">The function to generate the initial values for each index.</param>
<returns>The created array.</returns>
<exception cref="T:System.ArgumentException">Thrown when count is negative.</exception>
<example id="init-1"><code lang="fsharp"> Array.init 4 (fun v -> v + 5) </code> Evaluates to <c>[| 5; 6; 7; 8 |]</c></example>
<example id="init-2"><code lang="fsharp"> Array.init -5 (fun v -> v + 5) </code> Throws <c>ArgumentException</c></example>
<summary>Creates an array given the dimension and a generator function to compute the elements.</summary>
<param name="count">The number of elements to initialize.</param>
<param name="initializer">The function to generate the initial values for each index.</param>
<returns>The created array.</returns>
<exception cref="T:System.ArgumentException">Thrown when count is negative.</exception>
<example id="init-1"><code lang="fsharp"> Array.init 4 (fun v -> v + 5) </code> Evaluates to <c>[| 5; 6; 7; 8 |]</c></example>
<example id="init-2"><code lang="fsharp"> Array.init -5 (fun v -> v + 5) </code> Throws <c>ArgumentException</c></example>
val y: float[]
val histogramContour: GenericChart.GenericChart
type Chart =
static member AnnotatedHeatmap: zData: seq<#seq<'a1>> * annotationText: seq<#seq<string>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?X: seq<'a3> * ?MultiX: seq<seq<'a3>> * ?XGap: int * ?Y: seq<'a4> * ?MultiY: seq<seq<'a4>> * ?YGap: int * ?Text: 'a5 * ?MultiText: seq<'a5> * ?ColorBar: ColorBar * ?ColorScale: Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?ZSmooth: SmoothAlg * ?Transpose: bool * ?UseWebGL: bool * ?ReverseYAxis: bool * ?UseDefaults: bool -> GenericChart (requires 'a1 :> IConvertible and 'a3 :> IConvertible and 'a4 :> IConvertible and 'a5 :> IConvertible) + 1 overload
static member Area: x: seq<#IConvertible> * y: seq<#IConvertible> * ?ShowMarkers: bool * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?MultiOpacity: seq<float> * ?Text: 'a2 * ?MultiText: seq<'a2> * ?TextPosition: TextPosition * ?MultiTextPosition: seq<TextPosition> * ?MarkerColor: Color * ?MarkerColorScale: Colorscale * ?MarkerOutline: Line * ?MarkerSymbol: MarkerSymbol * ?MultiMarkerSymbol: seq<MarkerSymbol> * ?Marker: Marker * ?LineColor: Color * ?LineColorScale: Colorscale * ?LineWidth: float * ?LineDash: DrawingStyle * ?Line: Line * ?AlignmentGroup: string * ?OffsetGroup: string * ?StackGroup: string * ?Orientation: Orientation * ?GroupNorm: GroupNorm * ?FillColor: Color * ?FillPatternShape: PatternShape * ?FillPattern: Pattern * ?UseWebGL: bool * ?UseDefaults: bool -> GenericChart (requires 'a2 :> IConvertible) + 1 overload
static member Bar: values: seq<#IConvertible> * ?Keys: seq<'a1> * ?MultiKeys: seq<seq<'a1>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?MultiOpacity: seq<float> * ?Text: 'a2 * ?MultiText: seq<'a2> * ?MarkerColor: Color * ?MarkerColorScale: Colorscale * ?MarkerOutline: Line * ?MarkerPatternShape: PatternShape * ?MultiMarkerPatternShape: seq<PatternShape> * ?MarkerPattern: Pattern * ?Marker: Marker * ?Base: #IConvertible * ?Width: 'a4 * ?MultiWidth: seq<'a4> * ?TextPosition: TextPosition * ?MultiTextPosition: seq<TextPosition> * ?UseDefaults: bool -> GenericChart (requires 'a1 :> IConvertible and 'a2 :> IConvertible and 'a4 :> IConvertible) + 1 overload
static member BoxPlot: ?X: seq<'a0> * ?MultiX: seq<seq<'a0>> * ?Y: seq<'a1> * ?MultiY: seq<seq<'a1>> * ?Name: string * ?ShowLegend: bool * ?Text: 'a2 * ?MultiText: seq<'a2> * ?FillColor: Color * ?MarkerColor: Color * ?Marker: Marker * ?Opacity: float * ?WhiskerWidth: float * ?BoxPoints: BoxPoints * ?BoxMean: BoxMean * ?Jitter: float * ?PointPos: float * ?Orientation: Orientation * ?OutlineColor: Color * ?OutlineWidth: float * ?Outline: Line * ?AlignmentGroup: string * ?OffsetGroup: string * ?Notched: bool * ?NotchWidth: float * ?QuartileMethod: QuartileMethod * ?UseDefaults: bool -> GenericChart (requires 'a0 :> IConvertible and 'a1 :> IConvertible and 'a2 :> IConvertible) + 2 overloads
static member Bubble: x: seq<#IConvertible> * y: seq<#IConvertible> * sizes: seq<int> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?MultiOpacity: seq<float> * ?Text: 'a2 * ?MultiText: seq<'a2> * ?TextPosition: TextPosition * ?MultiTextPosition: seq<TextPosition> * ?MarkerColor: Color * ?MarkerColorScale: Colorscale * ?MarkerOutline: Line * ?MarkerSymbol: MarkerSymbol * ?MultiMarkerSymbol: seq<MarkerSymbol> * ?Marker: Marker * ?LineColor: Color * ?LineColorScale: Colorscale * ?LineWidth: float * ?LineDash: DrawingStyle * ?Line: Line * ?AlignmentGroup: string * ?OffsetGroup: string * ?StackGroup: string * ?Orientation: Orientation * ?GroupNorm: GroupNorm * ?UseWebGL: bool * ?UseDefaults: bool -> GenericChart (requires 'a2 :> IConvertible) + 1 overload
static member Candlestick: ``open`` : seq<#IConvertible> * high: seq<#IConvertible> * low: seq<#IConvertible> * close: seq<#IConvertible> * ?X: seq<'a4> * ?MultiX: seq<seq<'a4>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?Text: 'a5 * ?MultiText: seq<'a5> * ?Line: Line * ?IncreasingColor: Color * ?Increasing: FinanceMarker * ?DecreasingColor: Color * ?Decreasing: FinanceMarker * ?WhiskerWidth: float * ?ShowXAxisRangeSlider: bool * ?UseDefaults: bool -> GenericChart (requires 'a4 :> IConvertible and 'a5 :> IConvertible) + 2 overloads
static member Column: values: seq<#IConvertible> * ?Keys: seq<'a1> * ?MultiKeys: seq<seq<'a1>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?MultiOpacity: seq<float> * ?Text: 'a2 * ?MultiText: seq<'a2> * ?MarkerColor: Color * ?MarkerColorScale: Colorscale * ?MarkerOutline: Line * ?MarkerPatternShape: PatternShape * ?MultiMarkerPatternShape: seq<PatternShape> * ?MarkerPattern: Pattern * ?Marker: Marker * ?Base: #IConvertible * ?Width: 'a4 * ?MultiWidth: seq<'a4> * ?TextPosition: TextPosition * ?MultiTextPosition: seq<TextPosition> * ?UseDefaults: bool -> GenericChart (requires 'a1 :> IConvertible and 'a2 :> IConvertible and 'a4 :> IConvertible) + 1 overload
static member Contour: zData: seq<#seq<'a1>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?X: seq<'a2> * ?MultiX: seq<seq<'a2>> * ?Y: seq<'a3> * ?MultiY: seq<seq<'a3>> * ?Text: 'a4 * ?MultiText: seq<'a4> * ?ColorBar: ColorBar * ?ColorScale: Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?Transpose: bool * ?ContourLineColor: Color * ?ContourLineDash: DrawingStyle * ?ContourLineSmoothing: float * ?ContourLine: Line * ?ContoursColoring: ContourColoring * ?ContoursOperation: ConstraintOperation * ?ContoursType: ContourType * ?ShowContourLabels: bool * ?ContourLabelFont: Font * ?Contours: Contours * ?FillColor: Color * ?NContours: int * ?UseDefaults: bool -> GenericChart (requires 'a1 :> IConvertible and 'a2 :> IConvertible and 'a3 :> IConvertible and 'a4 :> IConvertible)
static member Funnel: x: seq<#IConvertible> * y: seq<#IConvertible> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?Width: float * ?Offset: float * ?Text: 'a2 * ?MultiText: seq<'a2> * ?TextPosition: TextPosition * ?MultiTextPosition: seq<TextPosition> * ?Orientation: Orientation * ?AlignmentGroup: string * ?OffsetGroup: string * ?MarkerColor: Color * ?MarkerOutline: Line * ?Marker: Marker * ?TextInfo: TextInfo * ?ConnectorLineColor: Color * ?ConnectorLineStyle: DrawingStyle * ?ConnectorFillColor: Color * ?ConnectorLine: Line * ?Connector: FunnelConnector * ?InsideTextFont: Font * ?OutsideTextFont: Font * ?UseDefaults: bool -> GenericChart (requires 'a2 :> IConvertible)
static member Heatmap: zData: seq<#seq<'a1>> * ?X: seq<'a2> * ?MultiX: seq<seq<'a2>> * ?Y: seq<'a3> * ?MultiY: seq<seq<'a3>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?XGap: int * ?YGap: int * ?Text: 'a4 * ?MultiText: seq<'a4> * ?ColorBar: ColorBar * ?ColorScale: Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?ZSmooth: SmoothAlg * ?Transpose: bool * ?UseWebGL: bool * ?ReverseYAxis: bool * ?UseDefaults: bool -> GenericChart (requires 'a1 :> IConvertible and 'a2 :> IConvertible and 'a3 :> IConvertible and 'a4 :> IConvertible) + 1 overload
...
static member Chart.Histogram2DContour: x: seq<#System.IConvertible> * y: seq<#System.IConvertible> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?Z: seq<#seq<'d>> * ?HistFunc: StyleParam.HistFunc * ?HistNorm: StyleParam.HistNorm * ?NBinsX: int * ?NBinsY: int * ?BinGroup: string * ?XBinGroup: string * ?XBins: TraceObjects.Bins * ?YBinGroup: string * ?YBins: TraceObjects.Bins * ?Marker: TraceObjects.Marker * ?ContourLineColor: Color * ?ContourLineDash: StyleParam.DrawingStyle * ?ContourLineSmoothing: float * ?ContourLine: Line * ?ColorBar: ColorBar * ?ColorScale: StyleParam.Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?Contours: TraceObjects.Contours * ?NContours: int * ?UseDefaults: bool -> GenericChart.GenericChart (requires 'd :> System.IConvertible)
static member Chart.Histogram2DContour: ?X: seq<'a0> * ?MultiX: seq<seq<'a0>> * ?Y: seq<'a1> * ?MultiY: seq<seq<'a1>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?Z: seq<#seq<'a3>> * ?HistFunc: StyleParam.HistFunc * ?HistNorm: StyleParam.HistNorm * ?NBinsX: int * ?NBinsY: int * ?BinGroup: string * ?XBinGroup: string * ?XBins: TraceObjects.Bins * ?YBinGroup: string * ?YBins: TraceObjects.Bins * ?Marker: TraceObjects.Marker * ?ContourLineColor: Color * ?ContourLineDash: StyleParam.DrawingStyle * ?ContourLineSmoothing: float * ?ContourLine: Line * ?ColorBar: ColorBar * ?ColorScale: StyleParam.Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?Contours: TraceObjects.Contours * ?NContours: int * ?UseDefaults: bool -> GenericChart.GenericChart (requires 'a0 :> System.IConvertible and 'a1 :> System.IConvertible and 'a3 :> System.IConvertible)
static member Chart.Histogram2DContour: ?X: seq<'a0> * ?MultiX: seq<seq<'a0>> * ?Y: seq<'a1> * ?MultiY: seq<seq<'a1>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?Z: seq<#seq<'a3>> * ?HistFunc: StyleParam.HistFunc * ?HistNorm: StyleParam.HistNorm * ?NBinsX: int * ?NBinsY: int * ?BinGroup: string * ?XBinGroup: string * ?XBins: TraceObjects.Bins * ?YBinGroup: string * ?YBins: TraceObjects.Bins * ?Marker: TraceObjects.Marker * ?ContourLineColor: Color * ?ContourLineDash: StyleParam.DrawingStyle * ?ContourLineSmoothing: float * ?ContourLine: Line * ?ColorBar: ColorBar * ?ColorScale: StyleParam.Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?Contours: TraceObjects.Contours * ?NContours: int * ?UseDefaults: bool -> GenericChart.GenericChart (requires 'a0 :> System.IConvertible and 'a1 :> System.IConvertible and 'a3 :> System.IConvertible)
argument x: seq<float>
<summary> Computes a 2D histogram contour plot, also known as a density contour plot, which is a 2-dimensional generalization of a histogram which resembles a contour plot but is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum (if z is provided) to compute the value to be used to compute contours. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover.</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity otf the trace.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="BinGroup">Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of "1" on two histogram2d traces will make them their x-bins and y-bins match separately.</param>
<param name="XBinGroup">Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBinGroup">Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="Marker">Sets the marker of this trace.</param>
<param name="ContourLineDash">Sets the contour line dash style</param>
<param name="ContourLineColor">Sets the contour line color</param>
<param name="ContourLineSmoothing">Sets the amount of smoothing for the contour lines, where "0" corresponds to no smoothing.</param>
<param name="ContourLine">Sets the contour lines (use this for more finegrained control than the other contourline-associated arguments).</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="Contours">Sets the style of the contours</param>
<param name="NContours">Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is "true" or if `contours.size` is missing.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
<summary> Computes a 2D histogram contour plot, also known as a density contour plot, which is a 2-dimensional generalization of a histogram which resembles a contour plot but is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum (if z is provided) to compute the value to be used to compute contours. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover.</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity otf the trace.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="BinGroup">Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of "1" on two histogram2d traces will make them their x-bins and y-bins match separately.</param>
<param name="XBinGroup">Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBinGroup">Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="Marker">Sets the marker of this trace.</param>
<param name="ContourLineDash">Sets the contour line dash style</param>
<param name="ContourLineColor">Sets the contour line color</param>
<param name="ContourLineSmoothing">Sets the amount of smoothing for the contour lines, where "0" corresponds to no smoothing.</param>
<param name="ContourLine">Sets the contour lines (use this for more finegrained control than the other contourline-associated arguments).</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="Contours">Sets the style of the contours</param>
<param name="NContours">Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is "true" or if `contours.size` is missing.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
argument y: seq<float>
<summary> Computes a 2D histogram contour plot, also known as a density contour plot, which is a 2-dimensional generalization of a histogram which resembles a contour plot but is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum (if z is provided) to compute the value to be used to compute contours. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover.</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity otf the trace.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="BinGroup">Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of "1" on two histogram2d traces will make them their x-bins and y-bins match separately.</param>
<param name="XBinGroup">Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBinGroup">Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="Marker">Sets the marker of this trace.</param>
<param name="ContourLineDash">Sets the contour line dash style</param>
<param name="ContourLineColor">Sets the contour line color</param>
<param name="ContourLineSmoothing">Sets the amount of smoothing for the contour lines, where "0" corresponds to no smoothing.</param>
<param name="ContourLine">Sets the contour lines (use this for more finegrained control than the other contourline-associated arguments).</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="Contours">Sets the style of the contours</param>
<param name="NContours">Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is "true" or if `contours.size` is missing.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
<summary> Computes a 2D histogram contour plot, also known as a density contour plot, which is a 2-dimensional generalization of a histogram which resembles a contour plot but is computed by grouping a set of points specified by their x and y coordinates into bins, and applying an aggregation function such as count or sum (if z is provided) to compute the value to be used to compute contours. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a contour plot. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover.</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity otf the trace.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="BinGroup">Set the `xbingroup` and `ybingroup` default prefix For example, setting a `bingroup` of "1" on two histogram2d traces will make them their x-bins and y-bins match separately.</param>
<param name="XBinGroup">Set a group of histogram traces which will have compatible x-bin settings. Using `xbingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same `xbingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBinGroup">Set a group of histogram traces which will have compatible y-bin settings. Using `ybingroup`, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same `ybingroup` value can be used to set (1D) histogram `bingroup`</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="Marker">Sets the marker of this trace.</param>
<param name="ContourLineDash">Sets the contour line dash style</param>
<param name="ContourLineColor">Sets the contour line color</param>
<param name="ContourLineSmoothing">Sets the amount of smoothing for the contour lines, where "0" corresponds to no smoothing.</param>
<param name="ContourLine">Sets the contour lines (use this for more finegrained control than the other contourline-associated arguments).</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="Contours">Sets the style of the contours</param>
<param name="NContours">Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of `ncontours`. Has an effect only if `autocontour` is "true" or if `contours.size` is missing.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
Multiple items
type Line = inherit DynamicObj new: unit -> Line static member init: ?BackOff: BackOff * ?AutoColorScale: bool * ?CAuto: bool * ?CMax: float * ?CMid: float * ?CMin: float * ?Color: Color * ?ColorAxis: SubPlotId * ?Colorscale: Colorscale * ?ReverseScale: bool * ?ShowScale: bool * ?ColorBar: ColorBar * ?Dash: DrawingStyle * ?Shape: Shape * ?Simplify: bool * ?Smoothing: float * ?Width: float * ?MultiWidth: seq<float> * ?OutlierColor: Color * ?OutlierWidth: float -> Line static member style: ?BackOff: BackOff * ?AutoColorScale: bool * ?CAuto: bool * ?CMax: float * ?CMid: float * ?CMin: float * ?Color: Color * ?ColorAxis: SubPlotId * ?Colorscale: Colorscale * ?ReverseScale: bool * ?ShowScale: bool * ?ColorBar: ColorBar * ?Dash: DrawingStyle * ?Shape: Shape * ?Simplify: bool * ?Smoothing: float * ?Width: float * ?MultiWidth: seq<float> * ?OutlierColor: Color * ?OutlierWidth: float -> (Line -> Line)
<summary> The line object determines the style of the line in various aspect of plots such as a line connecting datums, outline of layout objects, etc.. </summary>
--------------------
new: unit -> Line
type Line = inherit DynamicObj new: unit -> Line static member init: ?BackOff: BackOff * ?AutoColorScale: bool * ?CAuto: bool * ?CMax: float * ?CMid: float * ?CMin: float * ?Color: Color * ?ColorAxis: SubPlotId * ?Colorscale: Colorscale * ?ReverseScale: bool * ?ShowScale: bool * ?ColorBar: ColorBar * ?Dash: DrawingStyle * ?Shape: Shape * ?Simplify: bool * ?Smoothing: float * ?Width: float * ?MultiWidth: seq<float> * ?OutlierColor: Color * ?OutlierWidth: float -> Line static member style: ?BackOff: BackOff * ?AutoColorScale: bool * ?CAuto: bool * ?CMax: float * ?CMid: float * ?CMin: float * ?Color: Color * ?ColorAxis: SubPlotId * ?Colorscale: Colorscale * ?ReverseScale: bool * ?ShowScale: bool * ?ColorBar: ColorBar * ?Dash: DrawingStyle * ?Shape: Shape * ?Simplify: bool * ?Smoothing: float * ?Width: float * ?MultiWidth: seq<float> * ?OutlierColor: Color * ?OutlierWidth: float -> (Line -> Line)
<summary> The line object determines the style of the line in various aspect of plots such as a line connecting datums, outline of layout objects, etc.. </summary>
--------------------
new: unit -> Line
static member Line.init: ?BackOff: StyleParam.BackOff * ?AutoColorScale: bool * ?CAuto: bool * ?CMax: float * ?CMid: float * ?CMin: float * ?Color: Color * ?ColorAxis: StyleParam.SubPlotId * ?Colorscale: StyleParam.Colorscale * ?ReverseScale: bool * ?ShowScale: bool * ?ColorBar: ColorBar * ?Dash: StyleParam.DrawingStyle * ?Shape: StyleParam.Shape * ?Simplify: bool * ?Smoothing: float * ?Width: float * ?MultiWidth: seq<float> * ?OutlierColor: Color * ?OutlierWidth: float -> Line
module GenericChart
from Plotly.NET
<summary> Module to represent a GenericChart </summary>
<summary> Module to represent a GenericChart </summary>
val toChartHTML: gChart: GenericChart.GenericChart -> string
val histogram2D: GenericChart.GenericChart
static member Chart.Histogram2D: x: seq<#System.IConvertible> * y: seq<#System.IConvertible> * ?Z: seq<#seq<'d>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?XGap: int * ?YGap: int * ?HistFunc: StyleParam.HistFunc * ?HistNorm: StyleParam.HistNorm * ?NBinsX: int * ?NBinsY: int * ?XBins: TraceObjects.Bins * ?YBins: TraceObjects.Bins * ?ColorBar: ColorBar * ?ColorScale: StyleParam.Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?ZSmooth: StyleParam.SmoothAlg * ?UseDefaults: bool -> GenericChart.GenericChart (requires 'd :> System.IConvertible)
static member Chart.Histogram2D: ?X: seq<'a0> * ?MultiX: seq<seq<'a0>> * ?Y: seq<'a1> * ?MultiY: seq<seq<'a1>> * ?Z: seq<#seq<'a3>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?XGap: int * ?YGap: int * ?HistFunc: StyleParam.HistFunc * ?HistNorm: StyleParam.HistNorm * ?NBinsX: int * ?NBinsY: int * ?XBins: TraceObjects.Bins * ?YBins: TraceObjects.Bins * ?ColorBar: ColorBar * ?ColorScale: StyleParam.Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?ZSmooth: StyleParam.SmoothAlg * ?UseDefaults: bool -> GenericChart.GenericChart (requires 'a0 :> System.IConvertible and 'a1 :> System.IConvertible and 'a3 :> System.IConvertible)
static member Chart.Histogram2D: ?X: seq<'a0> * ?MultiX: seq<seq<'a0>> * ?Y: seq<'a1> * ?MultiY: seq<seq<'a1>> * ?Z: seq<#seq<'a3>> * ?Name: string * ?ShowLegend: bool * ?Opacity: float * ?XGap: int * ?YGap: int * ?HistFunc: StyleParam.HistFunc * ?HistNorm: StyleParam.HistNorm * ?NBinsX: int * ?NBinsY: int * ?XBins: TraceObjects.Bins * ?YBins: TraceObjects.Bins * ?ColorBar: ColorBar * ?ColorScale: StyleParam.Colorscale * ?ShowScale: bool * ?ReverseScale: bool * ?ZSmooth: StyleParam.SmoothAlg * ?UseDefaults: bool -> GenericChart.GenericChart (requires 'a0 :> System.IConvertible and 'a1 :> System.IConvertible and 'a3 :> System.IConvertible)
argument x: seq<float>
<summary> Visualizes the distribution of the 2-dimensional input data as 2D Histogram. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity of the trace.</param>
<param name="XGap">Sets the horizontal gap (in pixels) between bricks.</param>
<param name="YGap">Sets the vertical gap (in pixels) between bricks.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="ZSmooth">Picks a smoothing algorithm use to smooth `z` data.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
<summary> Visualizes the distribution of the 2-dimensional input data as 2D Histogram. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity of the trace.</param>
<param name="XGap">Sets the horizontal gap (in pixels) between bricks.</param>
<param name="YGap">Sets the vertical gap (in pixels) between bricks.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="ZSmooth">Picks a smoothing algorithm use to smooth `z` data.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
argument y: seq<float>
<summary> Visualizes the distribution of the 2-dimensional input data as 2D Histogram. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity of the trace.</param>
<param name="XGap">Sets the horizontal gap (in pixels) between bricks.</param>
<param name="YGap">Sets the vertical gap (in pixels) between bricks.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="ZSmooth">Picks a smoothing algorithm use to smooth `z` data.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>
<summary> Visualizes the distribution of the 2-dimensional input data as 2D Histogram. The sample data from which statistics are computed is set in `x` and `y` (where `x` and `y` represent marginal distributions, binning is set in `xbins` and `ybins` in this case) or `z` (where `z` represent the 2D distribution and binning set, binning is set by `x` and `y` in this case). The resulting distribution is visualized as a heatmap. </summary>
<param name="x">Sets the sample data to be binned on the x axis.</param>
<param name="y">Sets the sample data to be binned on the y axis.</param>
<param name="Z">Sets the aggregation data.</param>
<param name="Name">Sets the trace name. The trace name appear as the legend item and on hover</param>
<param name="ShowLegend">Determines whether or not an item corresponding to this trace is shown in the legend.</param>
<param name="Opacity">Sets the Opacity of the trace.</param>
<param name="XGap">Sets the horizontal gap (in pixels) between bricks.</param>
<param name="YGap">Sets the vertical gap (in pixels) between bricks.</param>
<param name="HistFunc">Specifies the binning function used for this histogram trace. If "count", the histogram values are computed by counting the number of values lying inside each bin. If "sum", "avg", "min", "max", the histogram values are computed using the sum, the average, the minimum or the maximum of the values lying inside each bin respectively.</param>
<param name="HistNorm">Specifies the type of normalization used for this histogram trace. If "", the span of each bar corresponds to the number of occurrences (i.e. the number of data points lying inside the bins). If "percent" / "probability", the span of each bar corresponds to the percentage / fraction of occurrences with respect to the total number of sample points (here, the sum of all bin HEIGHTS equals 100% / 1). If "density", the span of each bar corresponds to the number of occurrences in a bin divided by the size of the bin interval (here, the sum of all bin AREAS equals the total number of sample points). If "probability density", the area of each bar corresponds to the probability that an event will fall into the corresponding bin (here, the sum of all bin AREAS equals 1).</param>
<param name="NBinsX">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `xbins.size` is provided.</param>
<param name="NBinsY">Specifies the maximum number of desired bins. This value will be used in an algorithm that will decide the optimal bin size such that the histogram best visualizes the distribution of the data. Ignored if `ybins.size` is provided.</param>
<param name="XBins">Sets the binning across the x dimension</param>
<param name="YBins">Sets the binning across the y dimension</param>
<param name="ColorBar">Sets the styles of the colorbar for this trace.</param>
<param name="ColorScale">Sets the colorscale for this trace.</param>
<param name="ShowScale">Whether or not to show the colorscale/colorbar</param>
<param name="ReverseScale">Reverses the color mapping if true. If true, `zmin` will correspond to the last color in the array and `zmax` will correspond to the first color.</param>
<param name="ZSmooth">Picks a smoothing algorithm use to smooth `z` data.</param>
<param name="UseDefaults">If set to false, ignore the global default settings set in `Defaults`</param>