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Update to 2.5.6, in the hope it addresses PR 49817.
Release 2.5.6 ============= Bugs fixed ---------- - Detection of the R version during setup on Win8 (issues #255 and #258) - Segmentation fault when converting :mod:`pandas` :class:`Series` with elements of type object (issue #264) - The default converter from Python (non-rpy2) objects to rinterface-level objects was producing robjects-level objects whenever the input was of type :class:`list` (discovered while fixing issue #264) - Implemented suggested fix for issue with unlinking files on Windows (issue #191) - Testing rpy2 in the absence of ipython no longer stops with an error (issue #266) Release 2.5.5 ============= Bugs fixed ---------- - Crash (segfault) when querying an R object in an R environment triggers an error (symbol exists, but associated values resolves to an error - issue #251) - Change in the signature of `rcall` was not updated in the documentation (issue #259) - Minor update to the documentation (issue #257) Release 2.5.4 ============= Bugs fixed ---------- - Filter PNG files on size, preventing empty files causing trouble to be ipython notebook rendering of graphics later on (slight modification of the pull request #39) - Fix installation left unresolved with rpy2-2.5.3 (issue #248) - Possible segfault with Python 3.4 (issue #249) Release 2.5.3 ============= Changes ------- - `setup.py` has `install_requires` in addition to `requires` in the hope to fix the missing dependency with Python 2 (:mod:`singledispatch` is required but not installed). Bugs fixed ---------- - Extracting configuration information from should now work when R is emitting a warning (issue #247) - On OS X the library discovery step can yield nothing (see issue #246). A tentative fix is to issue a warning and keep moving. Release 2.5.2 ============= Bugs fixed ---------- - String representation of :class:`robjects.R` (issue #238) - Check during `build_ext` if unsupported version of R (pull request #32) - HTMl display of columns of factors in a DataFrame (issue #236) - HTML display of factors (issue #242) Release 2.5.1 ============= Bugs fixed ---------- - Require singledispatch if Python 3.3 (issue #232) - Fixed bug when R spits out a warning when asked configuration information (issue #233) - Restored printing of compilation information when running `setup.py` - Fixed installation issue on some systems (issue #234) - Workaround obscure failure message from unittest if Python < 3.4 and :mod:`singledispatch` cannot be imported (issue #235) Release 2.5.0 ============= New features ------------ - Experimental alternative way to preserve R objects from garbage collection. This can be activated with `rinterface.initr(r_preservehash=True)` (default is `False`. - :class:`GGPlot` object getting a method :meth:`save` mirroring R's `ggplot2::ggsave()`. - The conversion system is now using generics/single dispatch. - New module :mod:`rpy2.ipython.html` with HTML display for rpy2 objects - [Experimental] New function :func:`robjects.methods.rs4instance_factory` to type RS4 objects with more specificity. Changes ------- - The script `setup.py` was rewritten for clarity and ease of maintenance. Now it only uses `setuptools`. Release 2.4.4 ============= Bugs fixed ---------- - Use `input` rather than `raw_input` in the default console callback with Python 3 (fixes issue #222) - Issues with conversions, pandas, and rmagic (fixes issue #218 and more) Release 2.4.3 ============= Bugs fixed ---------- - `geom_raster` was missing from `rpy2.robjects.lib.ggplot2` (pull request #30) - Fixed issue with SVG rendering in ipython notebook (issue #217) - Regression with `rx2()` introduced with new conversion (issue #219) - Fixed documentation (missing `import`) (issue #213) Release 2.4.2 ============= Bugs fixed ---------- - Assigning an R `DataFrame` into an environment was failing if the conversion for Pandas was activated. (Issue #207) Release 2.4.1 ============= Bugs fixed ---------- - :meth:`rpy2.ipython` fixed spurious output to notebook cells. Release 2.4.0 ============= Changes ------- - Conversion system slightly changed, with the optional conversions for :mod:`numpy` and :mod:`pandas` modified accordingly. The changes should only matter if using third-party conversion functions. - The Python 3 version is now a first class citizen. `2to3` is no longer used, and the code base is made directly compatible with Python. This lowers significantly the installation time with Python 3 (which matters when developping rpy2). - The default options to initialize R (`rpy2.rinterface.initoptions') are no longer `('rpy2', '--quiet', '--vanilla', '--no-save')` but now `('rpy2', '--quiet', '--no-save')`. - :class:`robjects.vectors.ListVector` can be instanciated from any objects with a method `items()` with the expectation that the method returns an iterable of (name, value) tuples, or even be an iterable of (name, value) tuples. New features ------------ - For instances of :class:`rpy2.robjects.Function`, the `__doc__` is now a property fetching information about the parameters in the R signature. - Convenience function :func:`rpy2.robjects.packages.data` to extract the datasets in an R pacakges - :mod:`ipython`'s `rmagic` is now part of :mod:`rpy`. To use, `%load_ext rpy2.ipython` from within IPython. - new method :meth:`rpy2.rinterface.SexpEnvironment.keys`, returnings the names in the environment as a tuple of Python strings. - convenience class :class:`robjects.packages.InstalledPackages`, with a companion function :func:`robjects.packages.isinstalled`. - new class :class:`rinterface.SexpSymbol` to represent R symbols Bugs fixed ---------- - :meth:`rpy2.rinterface.Sexp.do_slot` was crashing when the parameter was an empty string (PR #155) Release 2.3.10 ============== Bugs fixed ---------- - `setup.py build` was broken when new R compiled with OpenMP (Issue #183) Release 2.3.9 ============= - Changes in pandas 0.13.0 broke the rpy2 conversion layer (Issue #173) Release 2.3.8 ============= Bugs fixed ---------- - Crash with R-3.0.2. Changes in R-3.0.2's C API coupled to a strange behaviour with R promises caused the problem. (PR #150) Release 2.3.7 ============= Bugs fixed ---------- - ggplot2's "guides" were missing - ggplot2's "theme_classic" was missing (PR #143) - ggplot2's "element_rect" was missing (PR #144) - :func:`rpy2.interactive.packages` was broken (PR #142) Release 2.3.6 ============= Bugs fixed ---------- - Several reports of segfault on OS X (since rpy2-2.3.1 - PR #109) - More fixes in converting `DataFrames` with dates from `pandas` Relase 2.3.5 ============ Bugs fixed ---------- - Missing mapping to ggplot2's `scale_shape_discrete` function - Better handling of dates in Pandas - Constructor for POSIXct improved (and fixed) Changes ------- - The attribute :attr:`rclass` is no longer read-only and can be set (since R allows it) - Importing the module :mod:`rpy2.interactive` no longer activates event processing by default (triggering concurrency errors when used with ipython). New features ------------ - New module :mod:`rpy2.interactive.ipython` (so far plotting automatically a ggplot2 figure in the iPython's console) - It is now possible to set the :attr:`rclass`. Relase 2.3.4 ============ Bugs fixed ---------- - Spurious error when running unit tests with Python 3 and numpy installed - Missing mapping to ggplot2's `geom_dotplot` function - Warnings are not longer printed (see Changes below) Changes ------- - Bumped target version of ggplot2 to 0.9.3.1 - Warnings are not longer printed. The C-level function in R became hidden in R-3.0, and the cost of an R-level check/print is relatively high if the R code called is very short. This might evolve into printing warnings only if interactive mode in Python (if this can be checked reliably). Release 2.3.3 ============= Bugs fixed ---------- - Some of the data.frames converted from :mod:`pandas` were triggering a :class:`TypeError` when calling :func:`repr` - In :mod:`rpy2.robjects.lib.ggplot2`, a mapping to `coord_fixed` was missing (PR #120) - Using the parameter `lib_loc` in a call to :func:`rpy2.robjects.packages.importr` was resulting in an error (PR #119) - Creating a `layer` through the `rpy2.robjects.lib.ggplot2` interface did not accept parameters (PR #122) - Testing the Python version was crashing of a number of unsupported Python versions (<= 2.6) (PR #117) New features ------------ - New module pandas2ri to convert from mod:`pandas` `DataFrame` objects - New classes :class:`rpy2.robjects.lib.grid.Unit` and :class:`rpy2.robjects.lib.grid.Gpar` to model their counterparts in R's `grid` package as they were previously missing from rpy2. Release 2.3.2 ============= Bug fixed --------- - Building on Win64 (pull request #6) - Fetching data from an R package through `importr` was masking any R object called `data` in that package. The data are now under the attribute name `__rdata__`. This is not completely safe either, although much less likely, a warning will be issued if still masking anything. Changes ------- - More informative error message when failing to build because `R CMD config` does not return what is expected Release 2.3.1 ============= Bugs fixed ---------- - default console print callback with Python (issue #112 linked to it) - deprecation warnings with ggplot2 (issue #111 and contributed patch)
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