How to Install and Uninstall python3-h5py Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 07,2024

1. Install "python3-h5py" package

Please follow the guidelines below to install python3-h5py on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-h5py
            
                    
    
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2. Uninstall "python3-h5py" package

This tutorial shows how to uninstall python3-h5py on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python3-h5py
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-h5py package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python3-h5py
Priority: optional
Section: universe/python
Installed-Size: 2263
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Source: h5py
Version: 2.6.0-1
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~), python3-six, libc6 (>= 2.14), libhdf5-10
Filename: pool/universe/h/h5py/python3-h5py_2.6.0-1_amd64.deb
Size: 494772
MD5sum: bb9b5b7fc1d27aab13cd4259cd98b1f5
SHA1: 1f595459914a5545b690ebecb07ca96b9e68195e
SHA256: 3242c63ca0aae313cdeb7678e5644c0ccb4da057a34f6815d5e89b66a90ed95c
Description-en: general-purpose Python interface to hdf5 (Python 3)
HDF5 for Python (h5py) is a general-purpose Python interface to the
Hierarchical Data Format library, version 5. HDF5 is a versatile, mature
scientific software library designed for the fast, flexible storage of
enormous amounts of data.
.
From a Python programmer's perspective, HDF5 provides a robust way to
store data, organized by name in a tree-like fashion. You can create
datasets (arrays on disk) hundreds of gigabytes in size, and perform
random-access I/O on desired sections. Datasets are organized in a
filesystem-like hierarchy using containers called "groups", and accessed
using the tradional POSIX /path/to/resource syntax.
.
H5py provides a simple, robust read/write interface to HDF5 data from
Python. Existing Python and Numpy concepts are used for the interface;
for example, datasets on disk are represented by a proxy class that
supports slicing, and has dtype and shape attributes. HDF5 groups are
presented using a dictionary metaphor, indexed by name.
.
This package provides h5py for the Python 3 interpreter.
Description-md5: e0f55a33fee0b362dd600bfc725a7f3d
Homepage: http://www.h5py.org/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu