PyMODIA
Purpose
PyMoDia is a python package designed for making SVG images of molecular orbital diagrams based on atomic orbital energies, molecular orbital energies and orbital coefficients. These energies and coefficients can either be obtained by using electronic structure calculation or be assumed to giving rise to qualitative diagrams.
This package makes use of the drawsvg package to produce the SVG images. SVG images are vector based meaning that they are great for digital purposes.
Documentation
PyMoDia comes with detailed documentation and examples, which can be found at https://ifilot.github.io/pymodia/.
Installation
PyMODIA is best used in its own environment which can be created and activated via
python3 -m venv .venv
source .venv/bin/activate
Install PyMoDia via
pip install -e .
The -e directive ensures that if you make changes to the PyMODIA sources,
they will be automatically propagated to the environment.
Besides, numpy and drawsvg as the core dependencies, we recommend also
installing pyqint and pydft to run the majority of the examples.
pip install pyqint pydft
Gallery
Metadata
Release files for pymodia 0.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pymodia-0.5.3.tar.gz | 27.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pymodia-0.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 55.2 kB
Release files / pymodia-0.5.3.tar.gz
| Download URL | pymodia-0.5.3.tar.gz |
|---|---|
| Size | 27.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / pymodia-0.5.3-py3-none-any.whl
| Download URL | pymodia-0.5.3-py3-none-any.whl |
|---|---|
| Size | 28.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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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/6.1.0 CPython/3.13.7
|
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.
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