---
title: Install Numpy viewer on Arch Linux using the Snap Store | Snapcraft
description: Get the latest version of Numpy viewer for on Arch Linux - Convenient
  viewer for numpy files and tensors.
url: https://snapcraft.io/install/numpyviewer/arch
---

[Canonical Snapcraft](https://snapcraft.io/)

# Install Numpy viewer on **Arch Linux**

# Numpy viewer (numpyviewer)

[Arend Jan Kramer (arendjankramer)](https://snapcraft.io/publisher/arendjankramer "View all snaps from Arend Jan Kramer (arendjankramer)")

* [Arend Jan Kramer (arendjankramer)](https://snapcraft.io/publisher/arendjankramer "View all snaps from Arend Jan Kramer (arendjankramer)")
* [Development](https://snapcraft.io/search?categories=development)

[Install](https://snapcraft.io/install/numpyviewer/arch#install)

#### Convenient viewer for numpy files and tensors.

Viewer for hyperspectral Numpy cubes and (2d/3d/4d)-tensors.

This viewer opens practically all numpy files, that has at least two dimensions. Using a slider it is possible to scroll through the channels. It features an envi to numpy converter, that converts raw ENVI shots to numpy (even white/black-ref support).

It features full support for 4d arrays, such as Tensors. During debugging, a Tensor can be saved using np.save() and analyzed by this tool. The tool allows to slice through batches and channels, and can merge channels into RGB/BGR into one rendered view.

This tool might also be useful for people working with DICOM. If you convert an array of DICOM images to a numpy array, and then save it, then this tool is useful to scroll through slices.

Can convert BIL ENVI files from e.g. "Lumo scanner", Specim FX17, Specim FX10, etc. You can also compare the spectrum of a pixel by left/right clicking in the canvas.

Also available as AppImage. Checkout the GitHub page for more info.

### Package name

* numpyviewer

---

### License

* unset

---

### Last updated

* 21 December 2021 - latest/stable

This snap hasn't been updated in a while. It might be unmaintained and have stability or security issues.

---

### Websites

* [github.com/ArendJanKramer/Numpyviewer](https://github.com/ArendJanKramer/Numpyviewer "https://github.com/ArendJanKramer/Numpyviewer")

---

##### Report a Snap Store violation

* [Report this Snap](https://snapcraft.io/install/numpyviewer/arch#report-snap-modal)

---

## Enable snaps on Arch Linux and install Numpy viewer

Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.

Snaps are discoverable and installable from the [Snap Store](https://snapcraft.io/store), an app store with an audience of millions.

### Enable snapd

On Arch Linux, snap can be installed from the [Arch User Repository (AUR).](https://aur.archlinux.org/packages/snapd/)
The [manual build process](https://wiki.archlinux.org/index.php/Arch_User_Repository#Installing_packages) is the Arch-supported
install method for AUR packages, and you’ll need the [prerequisites](https://wiki.archlinux.org/index.php/Arch_User_Repository#Prerequisites)
installed before you can install any AUR package. You can then install snap with the following:

```
git clone https://aur.archlinux.org/snapd.git
cd snapd
makepkg -si
```

Once installed, the *systemd* unit that manages the main snap communication socket needs to be enabled:

```
sudo systemctl enable --now snapd.socket
```

If [AppArmor](https://wiki.archlinux.org/title/AppArmor) is enabled in your system, enable the service which loads AppArmor profiles for snaps:

```
sudo systemctl enable --now snapd.apparmor.service
```

To enable *classic* snap support, enter the following to create a symbolic link between `/var/lib/snapd/snap` and `/snap`:

```
sudo ln -s /var/lib/snapd/snap /snap
```

Either log out and back in again, or restart your system, to ensure snap’s paths are updated correctly.

### Install Numpy viewer

To install Numpy viewer, simply use the following command:

```
sudo snap install numpyviewer
```

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