Python interface to the R Programming Language
rpy2 is a very simple, yet robust, Python interface to the R Programming
Language. It can manage all kinds of R objects and can execute arbitrary R
functions (including the graphic functions). All errors from the R language
areconverted to Python exceptions. Any module installed for the R system can
be used from within Python. rpy2 is a redesign and rewrite of rpy.
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _link | 0000000146 146 Bytes | |
| python-rpy2.changes | 0000022659 22.1 KB | |
| python-rpy2.spec | 0000003129 3.06 KB | |
| rpy2-2.9.4.tar.gz | 0000194620 190 KB |
Revision 3 (latest revision is 20)
Todd R (TheBlackCat)
accepted
request 628246
from
Todd R (TheBlackCat)
(revision 3)
- Update to 2.9.4
* Fallback for failure to import numpy or pandas is now dissociated from
failure to import :mod:`numpy2ri` or :mod:`pandas2ri` (issue #463).
* :func:`repr` for R POSIX date/time vectors is now showing a string
representation of the date/time rather than the timestamp as a float
(issue #467).
* The HTML representation of R data frame (the default representation in the
Jupyter notebook) was displaying an inconsistent number of rows
(found while workin on issue #466).
* Handle time zones in timezones in Pandas when converting to R data frames
(issue #454).
* When exiting the Python process, the R cleanup is now explicitly request
to happen before Python's exit. This is preventing possible segfaults
the process is terminating (issue #471).
* dplyr method `ungroup()` was missing from
:class:`rpy2.robjects.lib.dplyr.DataFrame` (issue #473).
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