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.
Upload more screenshots
Please help extend the collection of screenshots. Just make a screenshot and upload it here. You don't need to register or anything. Upload a screenshot
Hint: upload an image here from your clipboard with Ctrl-V
Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on… Install python3-rdata