Skip to main content

Python library for working with uncertainties and upper/lower limits

Project description

RichValues is a Python 3 library for working with numeric values with uncertainties, upper/lower limits and finite intervals, which may be called rich values.

With it, one can import rich values written in plain text documents in an easily readable format, operate with them propagating the uncertainties automatically, and export them in the same formatting style as the import. It also allows to easily plot rich values and to make fits to any function, taking into account the uncertainties and the upper/lower limits or finite intervals. Moreover, correlations between variables are taken into account when performing calculations with rich values.

The libraries NumPy, Pandas, SciPy and Matplotlib are required by RichValues. A user guide and a quick tutorial are available on GitHub: https://github.com/andresmegias/richvalues/.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

richvalues-4.2.1.tar.gz (46.4 kB view details)

Uploaded Source

File details

Details for the file richvalues-4.2.1.tar.gz.

File metadata

  • Download URL: richvalues-4.2.1.tar.gz
  • Upload date:
  • Size: 46.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.7

File hashes

Hashes for richvalues-4.2.1.tar.gz
Algorithm Hash digest
SHA256 77c4c32334f431090957f74f129f1126a1b4cf8d0b2af45d009ba728dd96261d
MD5 d787dfd07ce9e3af73fa5c87fc88c522
BLAKE2b-256 94a87efe2a3a7dc9292e1d4e879603835600f0f9a397ed8c6d513eb94bdcbf95

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 Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page