Processing and analysis of ocean data in Python
Project description
Collection of Python tools for working with oceanography data processing and analysis.
Maintained by the Oceanography section at the Norwegian Polar Institute and supported by the HiAOOS project.
Documentation page (in development)
Installation
Conda:
conda install -c npiocean -c conda-forge kval
Pip [^tag] :
pip install kval
[^tag]: Conda is recommended for Windows users as we have experienced errors with the dependent library compliance-checker on Windows+pip.
About the latest release, 0.4.2:
- Various fixes, mostly small bugs.
- Removed jupyterlab dependency.
- Resolved some version-related issues leading to problems with interactive plots.
- Cleaned up the source code a bit.
kval is in active development.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file kval-0.4.2.tar.gz.
File metadata
- Download URL: kval-0.4.2.tar.gz
- Upload date:
- Size: 3.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c9abe63749dcd2a36bfdaa5f773fb310bba2d74c623f543ad6d03cf17062585
|
|
| MD5 |
e0d6aedc66fd09760a82aef4c84ed33c
|
|
| BLAKE2b-256 |
bfea28ac380b532c4a4f10b0689a22ffa81b4c7e010cac8184810a1ca1ffb1f7
|
File details
Details for the file kval-0.4.2-py3-none-any.whl.
File metadata
- Download URL: kval-0.4.2-py3-none-any.whl
- Upload date:
- Size: 143.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7f1b690b80e2187e977da3a45e844e67c16b8ff3f4b45e1efc4d2417d7864d85
|
|
| MD5 |
de7b065539732e8ee0af4ef0aad474ac
|
|
| BLAKE2b-256 |
bba3c850ba6007f2685c7f793432d60d75658db1dfa0eda4b505a66beb82321e
|
