lets_plot.GGBunch

class lets_plot.GGBunch

Collection of plots created by ggplot function. Use method add_plot() to add plot to ‘bunch’. Each plot can have arbitrary location and size. Use show() to draw all plots in bunch.

Examples

import numpy as np
from lets_plot import *
LetsPlot.setup_html()
np.random.seed(42)
n = 100
x = np.arange(n)
y = np.random.normal(size=n)
w, h = 200, 150
p = ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + ggsize(w, h)
bunch = GGBunch()
bunch.add_plot(p + geom_point(), 0, 0)
bunch.add_plot(p + geom_histogram(bins=3), w, 0)
bunch.add_plot(p + geom_line(), 0, h, 2*w, h)
bunch.show()

__init__()

Initialize self.

add_plot(plot_spec: lets_plot.plot.core.PlotSpec, x, y, width=None, height=None)

Add plot to ‘bunch’.

Parameters

plot_spec

Plot specification created by ggplot() function.

xint

x-coordinate of plot origin in px.

yint

y-coordinate of plot origin in px.

widthint

Width of plot in px.

heightint

Height of plot in px.

as_dict()

Return the dictionary of all properties of the object with as_dict() applied recursively to all subproperties of FeatureSpec type.

Returns

dict

Dictionary of properties.

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot({'x': [0], 'y': [0]}) + geom_point(aes('x', 'y'))
p.as_dict()

{'data': {'x': [0], 'y': [0]},
 'mapping': {},
 'data_meta': {},
 'kind': 'plot',
 'scales': [],
 'layers': [{'geom': 'point',
   'mapping': {'x': 'x', 'y': 'y'},
   'data_meta': {}}],
 'metainfo_list': []}

show()

Draw all plots currently in this ‘bunch’.

props()

Return the dictionary of all properties of the object in their initial form.

Returns

dict

Dictionary of properties.

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot({'x': [0], 'y': [0]}) + geom_point(aes('x', 'y'))
p.props()

{'data': {'x': [0], 'y': [0]},
 'mapping': <lets_plot.plot.core.FeatureSpec at 0x2a4f56cd130>,
 'data_meta': {}}