Rpy2

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

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

- No longer allow installation if Python 3 but < 3.5.

- Fixed error `undefined symbol: DATAPTR` if R < 3.5 (issue 565).

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

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

- Fixed conversion of `pandas` :class:`Series` of dtype `pandas.Int32Dtype`,
or `pandas.Int64Dtype` (issue 544).

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

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

- Fixed the evaluation of R code using the "R magic" was delaying all
output to the end of the execution of that code, independently of
whether the attribute `cache_display_data` was `True` or `False`
(issue 543).

- Fixed conversion of :class:`pandas.Series` of `dtype` "object" when
all items are either all of the same type or are :obj:`None` (issue 540).

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

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

- Failing to import `pandas` or `numpy` when loading the "R magic" extension
for jupyter/ipython was hiding the cause of the error in the `ImportError`
exception.

- Fallback when an R `POSIXct` vector does not had an attribute `"tzone"`
(issue 533).

- Callback for console reset was not set during R initialization.

- Fixed rternalized function returning rpy2 objects (issue 538).

- `--vanilla` is no longer among the default options used to initialize R
(issue 534).

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

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

- Script to install R packages for docker image never made it to version
control.

- Conversion of R arrays/matrices into numpy object trigged a segfault
during garbage collection (issue 524).

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

New features
------------

- rpy2 can be installed without a development environment.

- Unit tests are now relying on the Python module `pytest`.

- :attr:`rpy2.rinterface.NA_Integer` is now only defined when the embedded R
is initialized.

Changes
-------

- complete rewrite of :mod:`rpy2.rinterface`.
:mod:`cffi` is now used to interface with the R compiled shared library.
This allows ABI calls and removes the need to compile binaries. However, if
compilation is available (when installing or preparing pre-compiled binaries)
faster implementations of performance bottlenecks will be available.

- calling :func:`rpy2.rinterface.endr` multiple times is now only ending R
the first time it is called (note: an ended R cannot successfully be
re-initialized).

- The conversion system in the mod:`rpy2.robjects.conversion` now has only
two conversions `py2rpy` and rpy2py`. `py2rpy` tries to convert any
Python object into an object rpy2 can use with R and `rpy2py` tries
to convert any rpy2 object into a either a non-rpy2 Python object or
a mod:`rpy2.robjects` level object.

- The method `get` for R environments is now called `find()` to avoid
confusion with the method of the same name in Python (:meth:`dict.get`).

- :class:`rpy2.robjects.vectors.Vector`, :class:`rpy2.robjects.vectors.Matrix`,
and :class:`rpy2.robjects.vectors.Array` can no longer be used to create
R arrays of unspecified type. New type-specific classes (for example for
vectors :class:`rpy2.robjects.vectors.IntVector`,
:class:`rpy2.robjects.vectors.BoolVector`,
:class:`rpy2.robjects.vectors.FloatVector`,
:class:`rpy2.robjects.vectors.ComplexVector`, or
:class:`rpy2.robjects.vectors.StrVector`) should be used instead.

- mod:`rpy2.rpy_classic`, an implementation of the `rpy` interface using
:mod:`rpy2.rinterface` is no longer available.

- :class:`rpy2.robjects.ParsedCode` and
:class:`rpy2.robjects.SourceCode` are moved to
:class:`rpy2.robjects.packages.ParsedCode` and
:class:`rpy2.robjects.packages.SourceCode`.

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

- Row names in R data frames were lost when converting to pandas data frames
(issue 484).

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

- Mismatch between R's POSIXlt `wday` and Python time struct_time's `tm_wday`
(issue 523).