readmet
This module contains functions and objects for handling (mostly reading) less popular or vendor-specific data file formats used in meteorology and neighboring sciences.
Requirements:
pip install numpy pandas
Installation:
As root or Administrator:
pip install readmet
or as normal user:
pip install --user readmet
or manually install the sources available from GitHub
Documentation:
1 maintainer
Metadata
1 maintainer
Release files for readmet 0.9.2
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 | |
|---|---|---|---|---|
| readmet-0.9.2.tar.gz | 3.0 MB | Without provenance | Details |
Release files / readmet-0.9.2.tar.gz
| Download URL | readmet-0.9.2.tar.gz |
|---|---|
| Size | 3.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1f75278a7f2d6201f4a12d2bcded5e1212a89370847c3ef56f0849ba69f41671
|
|
BLAKE2b-256 checksum How to use checksums |
42558e6bab284780e6e4dd1a7cc9a821f737ddf78872977f69db479841d32a22
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Security for readmet 0.9.2
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.
