RichValues is a Python 3 package 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/.
Metadata
Release files for richvalues 4.2.32
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| richvalues-4.2.32.tar.gz | 53.5 kB | Without provenance | Details for richvalues-4.2.32.tar.gz |
Release files / richvalues-4.2.32.tar.gz
| Download URL | richvalues-4.2.32.tar.gz |
|---|---|
| Size | 53.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c898f02fc2206cefac3f3f7df3997a9f0f02ad0a4fe594cecdf43dbcaa787da3
|
|
BLAKE2b-256 checksum How to use checksums |
a092fd1610c41c3d41a9ee47d13be53cc61b842cc3ae6cb4706a575d7d39a9c1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.9
|
Security for richvalues 4.2.32
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.