lets_plot.sampling_random#
- lets_plot.sampling_random(n, seed=None)#
Return a subset of randomly selected items.
- Parameters:
- nint
Number of items to return.
- seedint
Number used to initialize a pseudo random number generator.
- Returns:
- FeatureSpec
Random sample specification.
Examples
1import numpy as np 2from lets_plot import * 3LetsPlot.setup_html() 4np.random.seed(27) 5mean = np.zeros(2) 6cov = [[.9, -.6], 7 [-.6, .9]] 8x, y = np.random.multivariate_normal(mean, cov, 10000).T 9ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \ 10 geom_point(sampling=sampling_random(1000, 35))