sampling_group_random#
- 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
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4waves_count = 100 5peak_amplitude = np.linspace(1, 2, waves_count) 6wave_x = np.linspace(-np.pi, np.pi, 30) 7x = np.tile(wave_x, waves_count) 8y = np.array([a * np.sin(wave_x) for a in peak_amplitude]).flatten() 9a = np.repeat(peak_amplitude, wave_x.size) 10ggplot({'x': x, 'y': y, 'a': a}, aes('x', 'y')) + \ 11 geom_line(aes(group='a', color='a'), sampling=sampling_group_random(10, 35))