How to Install and Uninstall python3-rdata Package on Kali Linux

Last updated: May 13,2024

1. Install "python3-rdata" package

This guide let you learn how to install python3-rdata on Kali Linux

$ sudo apt update $ sudo apt install python3-rdata

2. Uninstall "python3-rdata" package

Please follow the instructions below to uninstall python3-rdata on Kali Linux:

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

3. Information about the python3-rdata package on Kali Linux

Package: python3-rdata
Source: python-rdata
Version: 0.5-3
Installed-Size: 82
Maintainer: Debian Python Team
Architecture: all
Depends: python3-numpy, python3-pandas, python3-xarray, python3:any
Size: 14464
SHA256: e91e7cb4f6e3f93310c9bcc2d732598756e96e8a5238292d23a5fe33191902b1
SHA1: ae9e54037f936e38094b436c079ea69548319e88
MD5sum: 08ed20953aa16899100ea8b893d3b07c
Description: parses R dataset (.rda) files
The common way of reading an R dataset consists on two steps:
.
* First, the file is parsed using the function parse_file. This provides
a literal description of the file contents as a hierarchy of Python
objects representing the basic R objects. This step is unambiguous
and always the same.
* Then, each object must be converted to an appropriate Python
object. In this step there are several choices on which Python type
is the most appropriate as the conversion for a given R object. Thus,
we provide a default convert routine, which tries to select Python
objects that preserve most information of the original R object. For
custom R classes, it is also possible to specify conversion routines
to Python objects.
.
The basic convert routine only constructs a SimpleConverter objects and
calls its convert method. All arguments of convert are directly passed
to the SimpleConverter initialization method.
.
It is possible, although not trivial, to make a custom Converter object
to change the way in which the basic R objects are transformed to
Python objects. However, a more common situation is that one does not
want to change how basic R objects are converted, but instead wants
to provide conversions for specific R classes. This can be done by
passing a dictionary to the SimpleConverter initialization method,
containing as keys the names of R classes and as values, callables
that convert a R object of that class to a Python object. By default,
the dictionary used is DEFAULT_CLASS_MAP, which can convert commonly
used R classes such as data.frame and factor.
Description-md5:
Homepage: https://github.com/vnmabus/rdata
Section: python
Priority: optional
Filename: pool/main/p/python-rdata/python3-rdata_0.5-3_all.deb