class geom_density2df : PolygonAesthetics, Density2dStatAesthetics, Density2dStatParameters, LayerBase
Fill density function contour.
data
- dictionary or pandas DataFrame, optional.
The data to be displayed in this layer. If None, the default, the data
is inherited from the plot data as specified in the call to lets_plot.
stat
- string, optional.
The statistical transformation to use on the data for this layer, as a string. Supported transformations:
"identity" (leaves the data unchanged), "count" (counts number of points with same x-axis coordinate),
"bin" (counts number of points with x-axis coordinate in the same bin), "smooth" (performs smoothing -
linear default)
position
- string, optional.
Position adjustment, either as a string ("identity", "stack", "dodge", ...), or the result of a call to a
position adjustment function.
tooltips
- result of the call to the layer_tooltips() function.
Specifies appearance, style and content.
kernel
- string, optional.
The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine",
"rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic")
bw
- string or double array, optional.
The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd"), or a double array of
length 2.
adjust
- double, optional.
Adjust the value of bandwidth my multiplying it. Changes how smooth the frequency curve is.
n
- int array, optional.
The number of sampled points for plotting the function (on x and y direction correspondingly)
bins
- int, optional.
Number of levels.
binWidth
- double, optional.
Distance between levels.
alpha
- transparency level of a point
Understands numbers between 0 and 1.
fill
- color of geometry filling.
mapping
- set of aesthetic mappings.
Aesthetic mappings describe the way that variables in the data are
mapped to plot "aesthetics".
<init> |
Fill density function contour. geom_density2df(data: Map<*, *>? = null, stat: StatOptions = Stat.density2df(), position: PosOptions = Pos.identity, showLegend: Boolean = true, sampling: SamplingOptions? = null, tooltips: TooltipOptions? = null, x: Double? = null, y: Double? = null, size: Number? = null, linetype: Any? = null, color: Any? = null, fill: Any? = null, alpha: Number? = null, weight: Double? = null, bw: Any? = null, kernel: String? = null, n: Int? = null, adjust: Number? = null, contour: Boolean? = null, bins: Int? = null, binWidth: Number? = null, mapping: Density2dfMapping.() -> Unit = {}) |
adjust |
double, optional. Adjust the value of bandwidth my multiplying it. Changes how smooth the frequency curve is. val adjust: Number? |
alpha |
transparency level of a point Understands numbers between 0 and 1. val alpha: Number? |
bins |
int, optional. Number of levels. val bins: Int? |
binWidth |
double, optional. Distance between levels. val binWidth: Number? |
bw |
string or double array, optional. The method (or exact value) of bandwidth. Either a string (choose among "nrd0" and "nrd"), or a double array of length 2. val bw: Any? |
color |
val color: Any? |
contour |
val contour: Boolean? |
fill |
color of geometry filling. val fill: Any? |
kernel |
string, optional. The kernel we use to calculate the density function. Choose among "gaussian", "cosine", "optcosine", "rectangular" (or "uniform"), "triangular", "biweight" (or "quartic"), "epanechikov" (or "parabolic") val kernel: String? |
linetype |
val linetype: Any? |
n |
int array, optional. The number of sampled points for plotting the function (on x and y direction correspondingly) val n: Int? |
size |
val size: Number? |
weight |
val weight: Double? |
x |
x-axis coordinates. val x: Double? |
y |
y-axis coordinates. val y: Double? |
seal |
fun seal(): Options
|
toSpec |
fun Layer.toSpec(): MutableMap<String, Any> |