arrayview
This is my array viewer. There are many like it, but this one is mine.
Arrayview lets you scroll through multi-dimensional arrays.
Open it from the shell, from Python, Julia, or Matlab, or inside a Jupyter notebook. Use it locally or over SSH.
If you work in VS Code, you can open arrays directly from the explorer — click an array file, or right-click a folder and choose Open Folder in ArrayView to review a DICOM series or a whole directory of arrays as one stack. With Remote SSH or a tunnel, it works the same way.
It is meant to feel simple but there's more to it than meets the eye.
Curious? Give it a try with
uvx arrayview your_array.npy
uvx arrayview path/to/dicom-series/
Check the docs to learn more.
Warning: Arrayview is still under active development. Things may break or change without warning.
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Release files for arrayview 0.47.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| arrayview-0.47.0.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| arrayview-0.47.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.0 MB
Release files / arrayview-0.47.0.tar.gz
| Download URL | arrayview-0.47.0.tar.gz |
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| Size | 1.1 MB |
| Tags | Source |
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| Size | 863.8 kB |
| Tags | Python 3 |
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