transformcl
Transform angular power spectra and correlation functions.
This is a minimal Python package for transformations between angular power spectra and correlation functions. It is currently limited to the spin zero case.
The package can be installed using pip:
pip install transformcl
Then import the package to use the functions:
import transformcl
t = transformcl.theta(cl.size)
ct = transformcl.corr(cl)
For more information, please see the documentation.
Current functionality covers the absolutely minimal use case. Please open an issue on GitHub if you would like to see anything added.
Metadata
Release files for transformcl 2026.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| transformcl-2026.1.tar.gz | 4.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| transformcl-2026.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.4 kB
Release files / transformcl-2026.1.tar.gz
| Download URL | transformcl-2026.1.tar.gz |
|---|---|
| Size | 4.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
14551c33d164f3db24b9141f1f77553182a4b9c789f883476eb33d87ea4d8f13
|
|
BLAKE2b-256 checksum How to use checksums |
9dceae8373b67259c3ea6033425161f7d195387b1e68b17d4d00eee1b68e5edd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 2, 2026.
Transparency logRelease files / transformcl-2026.1-py3-none-any.whl
| Download URL | transformcl-2026.1-py3-none-any.whl |
|---|---|
| Size | 3.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fe9c380074ef783a4f854e0d326eadac677d6a35bc683e3b429d5b49a8e57223
|
|
BLAKE2b-256 checksum How to use checksums |
fc98de7a05005238e03bdc57cd2885c27ad9140539bbaddf2b6ad2b2a0aa9863
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.8
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 2, 2026.
Transparency log