geom_bin2d(data: Map<*, *>? = null, stat: StatOptions = Stat.bin2d(), position: PosOptions = Pos.identity, showLegend: Boolean = true, sampling: SamplingOptions? = null, x: Double? = null, y: Double? = null, width: Double? = null, height: Double? = null, alpha: Number? = null, color: Any? = null, fill: Any? = null, linetype: Any? = null, size: Number? = null, weight: Any? = null, bins: Pair<Int, Int>? = null, binWidth: Pair<Number?, Number?>? = null, drop: Boolean? = null, mapping: Bin2dMapping.() -> Unit = {})
Divide the plane into a grid and color the bins by the count of cases in them.
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, default: "bin".
The statistical transformation to use on the data for this layer.
position
- string, optional.
Position adjustment, either as a string ("identity", "stack", "dodge", ...), or the result of a call to a
position adjustment function.
bins
- pair of numbers, default: (30,30)
Number of bins in both directions, vertical and horizontal. Overridden by binwidth.
binWidth
- pair of numbers, optional
The width of the bins in both directions, vertical and horizontal. Overrides bins
.
The default is to use bin widths that cover the entire range of the data.
drop
- : bool, optional, default: True
Specifies whether to remove all bins with 0 counts.
alpha
- number in [0..1
]
Transparency level of a layer.
color
- (colour) color of a geometry lines.
fill
- color of geometry filling.
linetype
- type of the line.
Codes and names: 0 = "blank", 1 = "solid", 2 = "dashed", 3 = "dotted", 4 = "dotdash",
5 = "longdash", 6 = "twodash".
mapping
- set of aesthetic mappings.
Aesthetic mappings describe the way that variables in the data are
mapped to plot "aesthetics".