lets_plot.geom_bin2d¶
- lets_plot.geom_bin2d(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, bins=None, binwidth=None, drop=None, **other_args)¶
Display a 1d distribution by dividing variable mapped to x axis into bins and counting the number of observations in each bin.
- 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 DataFrame 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=’bin2d’
The statistical transformation to use on the data for this layer, as a string.
- positionstr or FeatureSpec, default=’stack’
Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.
- 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.
- binslist of int, default=[30, 30]
Number of bins in both directions, vertical and horizontal. Overridden by binwidth.
- binwidthlist of float
The width of the bins in both directions, vertical and horizontal. Override bins. The default is to use bin widths that cover the entire range of the data.
- dropbool, default=True
Specify whether to remove all bins with 0 counts.
- 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
geom_bin2d() applies rectangular grid to the plane then counts observation in each cell of the grid (bin). Uses geom_tile() to display counts as a tile fill-color.
Computed variables:
..count.. : number of points with coordinates in the same bin.
geom_bin2d() understands the following aesthetics mappings:
x : x-axis value.
y : y-axis value.
alpha : transparency level of a layer. Accept values between 0 and 1.
color (colour) : color of the geometry lines. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.
fill : color of geometry filling, default: ‘..count..’. Alternatively: ‘..density..’.
size : line width.
weight : used by ‘bin’ stat to compute weighted sum instead of simple count.
Examples
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(42) 5mean = np.zeros(2) 6cov = np.eye(2) 7x, y = np.random.multivariate_normal(mean, cov, 1000).T 8ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + geom_bin2d()
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(42) 5n = 5000 6x = np.random.uniform(-2, 2, size=n) 7y = np.random.normal(scale=.5, size=n) 8ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \ 9 geom_bin2d(aes(fill='..density..'), binwidth=[.25, .24], \ 10 tooltips=layer_tooltips().format('@x', '.2f') 11 .format('@y', '.2f').line('(@x, @y)') 12 .line('count|@..count..') 13 .format('@..density..', '.3f') 14 .line('density|@..density..')) + \ 15 scale_fill_gradient(low='black', high='red')
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(42) 5mean = np.zeros(2) 6cov = [[1, .5], 7 [.5, 1]] 8x, y = np.random.multivariate_normal(mean, cov, 500).T 9ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \ 10 geom_bin2d(aes(alpha='..count..'), bins=[20, 20], \ 11 color='white', fill='darkgreen') + \ 12 geom_point(size=1.5, shape=21, color='white', \ 13 fill='darkgreen') + \ 14 ggsize(600, 450)