h5browse (formerly dataviz) is a utility for browsing HDF5 files.
It was developed for analyzing neuronal simulation data saved in a custom format. But the interface is generic enough to display simple HDF5 files. The tools are totally for neuronal data analysis. But the plan is to make it a more general tool.
As of 2015-12-21, it supports displaying the tree structure of an HDF5 file, node attributes and dataset contents. You can select arbitrary fields in a dataset for displaying X-Y plots.
Implementation of editing HDF5 is incomplete.
Note that being based on h5py library it inherits the limitations of the same.
This is a rewrite of the old code. Replaced PyQwt with PyQtGraph. Written from scratch in Python 3. Compatible with Python2.7.
Metadata
Release files for h5browse 0.2
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 |
|---|---|---|---|---|
| h5browse-0.2.tar.gz | 20.0 kB | Without provenance | Details for h5browse-0.2.tar.gz |
Release files / h5browse-0.2.tar.gz
| Download URL | h5browse-0.2.tar.gz |
|---|---|
| Size | 20.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
55b72e910ee78bb6402042c4bf7b9413226a3dfe83c8508ed5b084103d440e9c
|
|
BLAKE2b-256 checksum How to use checksums |
23e9b8705cdf9d59dc9009819d6f009eaaf1b9af1b3aaf52bef8f49827c40e08
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for h5browse 0.2
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.