ArrayViewer
The ArrayViewer is a tool to visualize data from different sources in a unified tool. It can load files containing different data structures (data, hdf5, mat, numpy, txt). This data can than be plotted as a standard plot, image or 3d/4d representation.
Usage
To install the Arrayviewer simply run pip3 install ArrayViewer. Once installed you can run aview to start the application. You can append the name of one or more files you want to open, to load them directly. A detailed description is available at https://arrayviewer.readthedocs.io
Dependencies
The ArrayViewer requires the following python-packages:
- PyQt5
- numpy
- scipy
- h5py
- matplotlib
- Pillow
- natsort
Metadata
Release files for ArrayViewer 1.1.5
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 |
|---|---|---|---|---|
| arrayviewer-1.1.5.tar.gz | 51.7 kB | Without provenance | Details for arrayviewer-1.1.5.tar.gz |
Release files / arrayviewer-1.1.5.tar.gz
| Download URL | arrayviewer-1.1.5.tar.gz |
|---|---|
| Size | 51.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a8ed9a79932a6b83d54d77ca2b6e9c497048e68ad31f13fb0d625ab51149241e
|
|
BLAKE2b-256 checksum How to use checksums |
639e1505d01edb4145974dcd5ce6160e69441860203d14e98b7fb560f10aa24b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.10
|
Security for ArrayViewer 1.1.5
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.