H5Analysis
This is a library to analyse, plot, and export HDF5 data. The package is meant to provide a framework to load data in jupyter notebooks and enable data interaction.
Installation
Install the package from PyPi with the pip package manager. This is the recommended way to obtain a copy for your local machine and will install all required dependencies.
$ pip install h5analysis
You will also need Jupyter Notebook together with python 3 on your local machine.
In case that certain widgets aren't rendered properly, make sure to enable the appropriate jupyter extensions
$ jupyter nbextension enable --py widgetsnbextension
Documentation
Extensive documentation can be found online on ReadTheDocs
Metadata
Release files for h5analysis 0.1.17.post0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| h5analysis-0.1.17.post0.tar.gz | 2.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| h5analysis-0.1.17.post0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / h5analysis-0.1.17.post0.tar.gz
| Download URL | h5analysis-0.1.17.post0.tar.gz |
|---|---|
| Size | 2.0 MB |
| Tags | Source |
|
SHA-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/3.13.12
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Apr 25, 2026.
Transparency logRelease files / h5analysis-0.1.17.post0-py3-none-any.whl
| Download URL | h5analysis-0.1.17.post0-py3-none-any.whl |
|---|---|
| Size | 92.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
825433d236e560eb6397463d14ae1ea2cb583211d714c291b0044dd82e6283fa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 25, 2026.
Transparency log