**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://pmlmodelling.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://pmlmodelling.github.io/nctoolkit/>`__.
1 maintainer
Metadata
1 maintainer
Release files for nctoolkit 1.3.9
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 |
|---|---|---|---|---|
| nctoolkit-1.3.9.tar.gz | 131.7 kB | Without provenance | Details for nctoolkit-1.3.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nctoolkit-1.3.9-py3-none-any.whl | Python 3 | none | any | Details for nctoolkit-1.3.9-py3-none-any.whl |
Total release size: 290.3 kB
Release files / nctoolkit-1.3.9.tar.gz
| Download URL | nctoolkit-1.3.9.tar.gz |
|---|---|
| Size | 131.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2001411f645d134ca436a9b2f3c3a716abb89e6fd51ab349e96bb5a0305f7c99
|
|
BLAKE2b-256 checksum How to use checksums |
841547fcc3bee04832ec3c08992b810dc59af53f5f0b28b57b0192e96f7f16c2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Release files / nctoolkit-1.3.9-py3-none-any.whl
| Download URL | nctoolkit-1.3.9-py3-none-any.whl |
|---|---|
| Size | 158.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
79a5d2898bb61a50c5a70208c8f883de799c69290238d5f7f7312c856660fc20
|
|
BLAKE2b-256 checksum How to use checksums |
8d8fb5261e05a9c050058cdf0a13151cd79d743c2457e6b2d840028fa17c0f2f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Security for nctoolkit 1.3.9
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.
