How to Install and Uninstall python3-hyperspy Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "python3-hyperspy" package

Here is a brief guide to show you how to install python3-hyperspy on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-hyperspy

2. Uninstall "python3-hyperspy" package

Please follow the instructions below to uninstall python3-hyperspy on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-hyperspy $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-hyperspy package on Ubuntu 21.10 (Impish Indri)

Package: python3-hyperspy
Architecture: amd64
Version: 1.6.1-1
Priority: optional
Section: universe/python
Source: hyperspy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 62237
Depends: python3-dask, python3-dateutil, python3-dill, python3-h5py-serial, python3-imageio, python3-ipyparallel, python3-matplotlib, python3-natsort, python3-numba, python3-numexpr, python3-numpy, python3-pint, python3-prettytable, python3-requests, python3-scipy, python3-skimage, python3-sparse, python3-sympy, python3-tifffile, python3-tqdm, python3-traits, python3-yaml, python3:any
Filename: pool/universe/h/hyperspy/python3-hyperspy_1.6.1-1_amd64.deb
Size: 23824100
MD5sum: f3691f58beb7605a3e2942ba71943e59
SHA1: 62f36ff89ead1f5500ad9d9bc78eada718e7ef16
SHA256: d41e6c2f84cb6581a17d12273e7e635e2f7be26074bdbcd7107846f9248ee162
SHA512: 464f094f73ae4782b2b7e02d9247474658be8c49c066ed7bcc0787b37eb33302790c8f2188988d33f325d7aaca112743d1d33daedd460f36100d343ddced5cf8
Homepage: https://github.com/hyperspy/hyperspy
Description-en: interactive analysis of multidimensional datasets
HyperSpy is an open source Python library for the interactive analysis
of multidimensional datasets that can be described as multidimensional
arrays of a given signal (for example, a 2D array of spectra, also known
as a spectrum image).
.
HyperSpy makes it straightforward to apply analytical procedures that
operate on an individual signal to multidimensional arrays, as well as
providing easy access to analytical tools that exploit the
multidimensionality of the dataset.
.
Its modular structure makes it easy to add features to analyze many
different types of signals.
Description-md5: 797f29f1b1485d46dde0a7b39a3c2f81