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Create eye-pleasing cornerplots (and maybe other types of plots in the future).

Usage example(s):

import numpy as np
import prettyplease

# Generate some example data
rng = np.random.default_rng()
n_samples = 100000
n_dim = 4
x = rng.normal(1.618, 0.2, size=(n_samples, n_dim))
# x is an ndarray of shape (n_samples, n_dim)

# With default settings
fig = prettyplease.corner(x)
fig.savefig('default.pdf', bbox_inches='tight')

# With some customization
labels = [rf'$\theta_{i}$' for i in range(n_dim)]
fig = prettyplease.corner(x, bins=30, labels=labels, plot_estimates=True, colors='red', n_uncertainty_digits=4, title_loc='center', figsize=(7,7))
fig.savefig('custom.pdf', bbox_inches='tight')

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Release files for prettyplease 0.13.1

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0.13.1 This release

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