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Lets-Plot for Python

v4.3.2

lets_plot.geom_count#

lets_plot.geom_count(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, color_by=None, fill_by=None, **other_args)#

Sum unique values.

Parameters:
mappingFeatureSpec

Set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot “aesthetics”.

datadict or Pandas or Polars DataFrame

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 ggplot.

statstr, default=’sum’

The statistical transformation to use on the data for this layer, as a string.

positionstr or FeatureSpec, default=’identity’

Position adjustment. Either a position adjustment name: ‘dodge’, ‘dodgev’, ‘jitter’, ‘nudge’, ‘jitterdodge’, ‘fill’, ‘stack’ or ‘identity’, or the result of calling a position adjustment function (e.g., position_dodge() etc.).

show_legendbool, default=True

False - do not show legend for this layer.

samplingFeatureSpec

Result of the call to the sampling_xxx() function. To prevent any sampling for this layer pass value “none” (string “none”).

tooltipslayer_tooltips

Result of the call to the layer_tooltips() function. Specify appearance, style and content.

color_by{‘fill’, ‘color’, ‘paint_a’, ‘paint_b’, ‘paint_c’}, default=’color’

Define the color aesthetic for the geometry.

fill_by{‘fill’, ‘color’, ‘paint_a’, ‘paint_b’, ‘paint_c’}, default=’fill’

Define the fill aesthetic for the geometry.

other_args

Other arguments passed on to the layer. These are often aesthetics settings used to set an aesthetic to a fixed value, like color=’red’, fill=’blue’, size=3 or shape=21. They may also be parameters to the paired geom/stat.

Returns:
LayerSpec

Geom object specification.

Notes

Computed variables:

  • ..n.. : number of points with same x-axis and y-axis coordinates.

  • ..prop.. : proportion of points with same x-axis and y-axis coordinates.

  • ..proppct.. : proportion of points with same x-axis and y-axis coordinates in percent.

geom_count() understands the following aesthetics mappings:

  • x : x-axis coordinates.

  • y : y-axis coordinates.

  • alpha : transparency level of the point. Accept values between 0 and 1.

  • color (colour) : color of the geometry. String in the following formats: RGB/RGBA (e.g. “rgb(0, 0, 255)”); HEX (e.g. “#0000FF”); color name (e.g. “red”); role name (“pen”, “paper” or “brush”).

  • fill : fill color. Is applied only to the points of shapes having inner area. String in the following formats: RGB/RGBA (e.g. “rgb(0, 0, 255)”); HEX (e.g. “#0000FF”); color name (e.g. “red”); role name (“pen”, “paper” or “brush”).

  • shape : shape of the point, an integer from 0 to 25.

  • size : size of the point.

  • stroke : width of the shape border. Applied only to the shapes having border.

Examples

 1import numpy as np
 2from lets_plot import *
 3from lets_plot.mapping import as_discrete
 4LetsPlot.setup_html()
 5n = 50
 6np.random.seed(42)
 7x = [round(it) for it in np.random.normal(0, 1.5, size=n)]
 8y = [round(it) for it in np.random.normal(0, 1.5, size=n)]
 9ggplot({'x': x, 'y': y}, aes(x=as_discrete('x', order=1), y=as_discrete('y', order=1))) + \
10    geom_count()


 1import numpy as np
 2from lets_plot import *
 3from lets_plot.mapping import as_discrete
 4LetsPlot.setup_html()
 5n = 50
 6np.random.seed(42)
 7x = [round(it) for it in np.random.normal(0, 1.5, size=n)]
 8y = [round(it) for it in np.random.normal(0, 1.5, size=n)]
 9ggplot({'x': x, 'y': y}, aes(x=as_discrete('x', order=1), y=as_discrete('y', order=1))) + \
10    geom_count(aes(size='..prop..', group='x'))
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