How to Install and Uninstall python2-vega_datasets Package on openSUSE Leap
Last updated: December 24,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python2-vega_datasets" package
This tutorial shows how to install python2-vega_datasets on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python2-vega_datasets
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2. Uninstall "python2-vega_datasets" package
In this section, we are going to explain the necessary steps to uninstall python2-vega_datasets on openSUSE Leap:
$
sudo zypper remove
python2-vega_datasets
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3. Information about the python2-vega_datasets package on openSUSE Leap
Information for package python2-vega_datasets:
----------------------------------------------
Repository : Main Repository
Name : python2-vega_datasets
Version : 0.8.0-bp153.1.16
Arch : noarch
Vendor : openSUSE
Installed Size : 914,6 KiB
Installed : No
Status : not installed
Source package : python-vega_datasets-0.8.0-bp153.1.16.src
Summary : A Python package for offline access to Vega datasets
Description :
A Python package for offline access to vega datasets.
- Provide straightforward access in Python to the datasets made available
- return the results in the form of a Pandas dataframe
- wherever dataset size and/or license constraints make it possible, bundle the dataset with the package so that datasets can be loaded in the absence of a web connection
----------------------------------------------
Repository : Main Repository
Name : python2-vega_datasets
Version : 0.8.0-bp153.1.16
Arch : noarch
Vendor : openSUSE
Installed Size : 914,6 KiB
Installed : No
Status : not installed
Source package : python-vega_datasets-0.8.0-bp153.1.16.src
Summary : A Python package for offline access to Vega datasets
Description :
A Python package for offline access to vega datasets.
- Provide straightforward access in Python to the datasets made available
- return the results in the form of a Pandas dataframe
- wherever dataset size and/or license constraints make it possible, bundle the dataset with the package so that datasets can be loaded in the absence of a web connection