Rpy2

=============

Bugs fixed
----------

- Latest release of :mod:`pandas` deprecated :meth:`DataFrame.from_items`.
(issue 514).

- Latest release of :mod:`pandas` requires categories to be a list
(not an other sequence).

Known issues
------------

- The numpy buffer implemented by R arrays is broken for complex numbers

=============

Bugs fixed
----------

- Missing values in pandas :class:`Category` series were creating
invalid R factors when converted (issue 493).

=============

Bugs fixed
----------

- 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).

=============

Bugs fixed
----------

- Delegate finding where is local time zone file to either a user-specified
module-level variable `default_timezone` or to the third-party
module :mod:`tzlocal` (issue 448).

=============

Changes
-------

- The pandas converter is converting :class:`pandas.Series` of `dtype` `"O"`
to :class:`rpy2.robjects.vectors.StrVector` objects, issueing a warning
about it (See issue 421).

- The conversion of pandas data frame is now working with columns rather
than rows (introduce in bug fix for issue 442 below) and this is expected
to result in more efficient conversions.

Bugs fixed
----------

- Allow floats in figure sizes for R magic (Pull request 63)

- Fixed pickling unpickling of robjects-level instances,
regression introduced in fix for issue 432 with release 2.9.1 (issue 443).

- Fixed broken unit test for columns of `dtype` `"O"` in `pandas` data frames.

- Fixed incorrect conversion of R factors in data frames to columns of
integers in pandas data frame (issue 442).

=============

Changes
-------

- Fixing issue 432 (see Section Bugs fixed below) involved removed the method
`__reduce__` previously provided for all rpy2 objects representing R objects.

Bugs fixed
----------

- An error when installing with an unsupported R version was fixed (issue 420).

- The docstring for `rinterface.endr()` was improperly stating that the function was not taking
any argument (issue 423).

- Target version of dplyr and tidyr are now 0.7.4 and 0.7.2 respectively.

- Fixed memory leak when pickling objects (issue 432). Fixing the leak caused a
slight change in the API (see Section Changes above).

- Conversion to :mod:`pandas` now handling R ordered factor (issue 398).

- :mod:`jinja2` was not listed as a dependency (issue 437).