README
pyfcf is a package to create standardized, publication quality matplotlib figures. It is partcularly useful for creating figures where the axis are a specfic size, allowing standardization between figures in e.g., papers, charts, or posters.
Installation
Requirements:
- maptlotlib
To install:
pip install pyfcf
Examples
Initialize basic matplotlib settings:
pyfcf.setup_matplotlib()
See examples/ folder.
Development
Tests
python -m unittest discover -s tests
Build
You need additional package build wheel and twine. Make sure that everything is up to date and then
pip install --upgrade build wheel twine
python3 -m build
python3 -m twine upload --repository testpypi dist/*
1 maintainer
Metadata
1 maintainer
Release files for pyfcf 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyfcf-0.1.1.tar.gz | 6.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyfcf-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.0 kB
Release files / pyfcf-0.1.1.tar.gz
| Download URL | pyfcf-0.1.1.tar.gz |
|---|---|
| Size | 6.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1be213bfae92212825276380bbd2786b0efd761239da36368db9d3644af65837
|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 CPython/3.12.8
|
Provenance
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Transparency logRelease files / pyfcf-0.1.1-py3-none-any.whl
| Download URL | pyfcf-0.1.1-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6947b55637737d4655868d21fc0750b7099432e7e8d84fd001122a7d4aff2fbb
|
|
BLAKE2b-256 checksum How to use checksums |
2d65282e93de2ae630ffd1d208ac3ac8a2440eb8846cb929f295481149b63fee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.0.1 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 Jan 24, 2025.
Transparency log
