Skip to main content


**nctoolkit** is a comprehensive Python (3.10 and above) package for analyzing netCDF data on Linux and macOS.

Core abilities of nctoolkit include:

- Clipping to spatial region
- Calculating climatologies
- Subsetting to specific time periods
- Calculating spatial statistics
- Creating new variables using arithmetic operations
- Calculating anomalies
- Calculating rolling and cumulative statistics
- Horizontally and vertically remapping data
- Calculating time averages
- Interactive plotting of data
- Calculating the correlations between variables
- Calculating vertical statistics for the likes of oceanic data
- Calculating ensemble statistics

Operation of the package requires the installation of Climate Data Operators (CDO). This is the computational backend for most of the methods used. No knowledge of CDO is required to use nctoolkit. A couple of methods provide users with the option of using netCDF Operators (NCO) as a backend. Guidance for how to install the backends are available `here <https://plymouthmarinelaboratory.github.io/nctoolkit/installing.html>`__.

The package is designed for both intensive bulk processing of NetCDF files and interactive Jupyter notebook analysis. It features an interactive plotting feature which allows users to view the contents of NetCDF files either within Jupyter notebooks or a web browser.

Plotting requires the use of cartopy, which has some additional system dependencies. Follow the instructions `here <https://scitools.org.uk/cartopy/docs/latest/installing.html>`__ to install them.

Documentation and a user guide are available `here <https://plymouthmarinelaboratory.github.io/nctoolkit/>`__.

Metadata

Release files for nctoolkit 1.3.11

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nctoolkit 1.3.11
File Size Uploaded Provenance Actions
nctoolkit-1.3.11.tar.gz 138.5 kB Without provenance Details for nctoolkit-1.3.11.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for nctoolkit 1.3.11
File Interpreter ABI Platform Actions
nctoolkit-1.3.11-py3-none-any.whl Python 3 none any Details for nctoolkit-1.3.11-py3-none-any.whl

Total release size: 302.2 kB

Release files / nctoolkit-1.3.11.tar.gz

Download URL nctoolkit-1.3.11.tar.gz
Size 138.5 kB
Tags Source
SHA-256 checksum
How to use checksums
78e6556d37b834623446653f606bc175f4fa3b1f6ac2219bbbe729b7ddb50c3f
BLAKE2b-256 checksum
How to use checksums
c84d8f0a244f09f432547c9321d6948f2907073ce63fc63c4cd9560feb961aa9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.15.1

Release files / nctoolkit-1.3.11-py3-none-any.whl

Download URL nctoolkit-1.3.11-py3-none-any.whl
Size 163.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
936ef58994c3c1aca536b9a74552846a269238da8037c82d2f05dd23015d327f
BLAKE2b-256 checksum
How to use checksums
c21bcc0d1315ee58c2c0d293824b9e215af39303fe3bef69e8fd7756f33e5537
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.15.1

Security for nctoolkit 1.3.11

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.

Release history Release notifications | RSS feed

This release

1.3.11 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page