lets_plot.geom_histogram¶
- lets_plot.geom_histogram(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, tooltips=None, orientation=None, bins=None, binwidth=None, center=None, boundary=None, **other_args)¶
Displays 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=’bin’
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), ‘density’ (computes and draws kernel density estimate).
- 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. Value None (or ‘none’) will disable sampling for this layer.
- tooltipslayer_tooltips
Result of the call to the layer_tooltips() function. Specifies appearance, style and content.
- orientationstr, default=’x’
Specifies the axis that the layer’ stat and geom should run along. Possible values: ‘x’, ‘y’.
- binsint, default=30
Number of bins. Overridden by binwidth.
- binwidthfloat
The width of the bins. The default is to use bin widths that cover the range of the data. You should always override this value, exploring multiple widths to find the best to illustrate the stories in your data.
- centerfloat
Specifies x-value to align bin centers to.
- boundaryfloat
Specifies x-value to align bin boundary (i.e. point between bins) to.
- 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_histogram() displays a 1d distribution by dividing variable mapped to x-axis into bins and counting the number of observations in each bin.
Computed variables:
..count.. : number of points with x-axis coordinate in the same bin.
..binwidth.. : width of each bin.
geom_histogram() understands the following aesthetics mappings:
x : x-axis value (this values will produce cases or bins for bars).
y : y-axis value, default: ‘..count..’. Alternatively: ‘..density..’.
alpha : transparency level of a layer. Understands numbers between 0 and 1.
color (colour) : color of a geometry lines. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.
fill : color of geometry filling.
size : lines 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) 5data = {'x': np.random.normal(size=1000)} 6ggplot(data, aes(x='x')) + geom_histogram()