lets_plot.sampling_group_random

lets_plot.sampling_group_random(n, seed=None)

Return a subset of randomly selected groups.

Parameters:

nint

Number of groups to return.

seedint

Number used to initialize a pseudo random number generator.

Returns:

FeatureSpec

Group sample specification.

Examples

import numpy as np
from lets_plot import *
LetsPlot.setup_html()
waves_count = 100
peak_amplitude = np.linspace(1, 2, waves_count)
wave_x = np.linspace(-np.pi, np.pi, 30)
x = np.tile(wave_x, waves_count)
y = np.array([a * np.sin(wave_x) for a in peak_amplitude]).flatten()
a = np.repeat(peak_amplitude, wave_x.size)
ggplot({'x': x, 'y': y, 'a': a}, aes('x', 'y')) + \
    geom_line(aes(group='a', color='a'), sampling=sampling_group_random(10, 35))