Skip to main content

Generate random piecewise polynomials

Project description

rnd-pcw-poly

Generates random piecewise polynomial functions (for example for testing CPD-algorithms).

Example

import numpy as np
import matplotlib.pyplot as plt
from rnd_pcw_poly import rnd_pcw_poly

# generate a piecewise polynomial function with 5 "jumps" / 6 segments;
# no more than 200 degrees of freedom in total and locally no more than
# 6 degrees of freedom. 
p = rnd_pcw_poly(5, 200, 6)

# plot it
xs = np.linspace(0,1,5000)
ys = p(xs)
plt.scatter(xs, ys)
plt.show()

The algorithm has seperately seedable and idependent core characteristics like jump locations, dof distribution, realization etc.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rnd_pcw_poly-0.2.0.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

rnd_pcw_poly-0.2.0-py3-none-any.whl (5.1 kB view details)

Uploaded Python 3

File details

Details for the file rnd_pcw_poly-0.2.0.tar.gz.

File metadata

  • Download URL: rnd_pcw_poly-0.2.0.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.1 CPython/3.10.9 Linux/6.4.6-76060406-generic

File hashes

Hashes for rnd_pcw_poly-0.2.0.tar.gz
Algorithm Hash digest
SHA256 d1c895830c60a63ca87a946c34a2340bdfe45534f1d9557d0dad6b9d5b1eb645
MD5 a0849ed3e6775fae8f271b51bfc760c8
BLAKE2b-256 5584b49a9952b4144ed79eedb8d48332a72b91309ff6fa500c7c981c23ff5ea9

See more details on using hashes here.

File details

Details for the file rnd_pcw_poly-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: rnd_pcw_poly-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 5.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.4.1 CPython/3.10.9 Linux/6.4.6-76060406-generic

File hashes

Hashes for rnd_pcw_poly-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dcf810c39ec299d06205e4bfb714b23bdee7305f5bfacae649604e52ba03145e
MD5 0239dd50a4baf815c716ad95bd73a176
BLAKE2b-256 18261276acbbdc92359cbc74f86686596ef10903e49e5d0cbd797ed0a26fa6e0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page