ggbunch

ggbunch(plots: List, regions: List[Tuple[float, float, float, float, float, float]]) → SupPlotsSpec

Combine several plots into a single figure with custom layout.

Parameters:

plotsList

A list where each element is one of:

• a plot specification

• a subplots specification

• None

regionsList[Tuple]

Layout parameters for each plot. Each region is specified as (x, y, width, height, dx, dy) where:

• x, y: Position of the plot’s top-left corner in relative coordinates ([0,0] is top-left corner, [1,1] is bottom-right corner of the container).

• width, height: Size of the plot relative to container dimensions (1 equal to the full container width/height).

• dx, dy: Pixel offsets to move the region (defaults to 0).

Returns:

SupPlotsSpec

A specification describing the combined figure with all plots and their layout.

Examples

import numpy as np
from lets_plot import *
LetsPlot.setup_html()
np.random.seed(42)
data = {'x': np.random.gamma(2.0, size=100)}
p1 = ggplot(data, aes(x='x')) + \
    geom_histogram(aes(color='x', fill='x'))
p2 = ggplot(data, aes(x='x')) + \
    geom_density() + theme_bw() + theme(axis='blank', panel_grid='blank')
ggbunch(
    [p1, p2],
    [(0, 0, 1, 1),
     (0.5, 0.1, 0.3, 0.3)]
) + ggsize(400, 300)