stat_sum#

stat_sum(mapping=None, *, data=None, geom=None, position=None, show_legend=None, inherit_aes=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.

geomstr, default=’point’

The geometry to display the sum stat 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.

inherit_aesbool, default=True

False - do not combine the layer aesthetic mappings with the plot shared mappings.

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. Set tooltips=’none’ to hide tooltips from the layer.

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.

stat_sum() understands the following aesthetics mappings:

  • x : x-axis coordinates.

  • y : y-axis coordinates.

In addition, you can use any aesthetics, available for the geometry defined by the geom parameter.

To hide axis tooltips, set ‘blank’ or the result of element_blank() to the axis_tooltip, axis_tooltip_x or axis_tooltip_y parameter of the theme().

Examples

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


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