Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Release 2.3.0 ============= New Features ------------ :mod:`rpy2.rinterface`: - C-level API, allowing other C-level modules to make use of utilities without going through the Python level. The exact definition of the API is not yet fixed. For now there is PyRinteractive_IsInitialized() to assess whether R was initialized (through :mod:`rpy2.rinterface` or not). - C-module _rpy_device, allowing one to implement R graphical devices in Python [(very) experimental] - Tracking of R objects kept protected from garbage collection by rpy2 is now possible. - New method :meth:`Sexp.rid` to return the identifier of the R object represented by a Python/rpy2 object :mod:`rpy2.rinteractive`: - Dynamic build of Python docstrings out of the R manual pages :mod:`rpy2.robjects.help`: - Build dynamic help :mod:`rpy2.robjects.packages: - Build anonymous R packages from strings - When using :func:`importr`, the datasets are added as an attribute :attr:`data`, itself an instance of a new class :class:`PackageData`. It no longer possible to access datasets are regular objects from a code package (because of changes in R), and the new system is more robust against quirks. Changes ------- :mod:`rpy2.rinterface`: - :attr:`SexpClosure.env` to replace the method `closureenv`. Release 2.2.6 ============= Bugs fixed ---------- - Newest R-2.15 and ggplot2 0.9 broke the ggplot2 interaface in :mod:`rpy2.robjects.lib.ggplot2` Release 2.2.5 ============= Bugs fixed ---------- - install process: Library location for some of the R installations - should compile on win32 (thanks to a patch from Evgeny Cherkashin), a work to a limited extend Release 2.2.4 ============= Bugs fixed ---------- - Memory leak when creating R vectors from Python (issue #82) Release 2.2.3 ============= Bugs fixed ---------- - Dynamic construction of S4 classes was looking for R help as 'class.<class>' rather than '<class>-class' - The cleanup of temporary directories created by R was not happening if the Python process terminated without calline :func:`rpy2.rinterface.endr()` (issue #68, and proof-of-principle fix by chrish42) Release 2.2.2 ============= Bugs fixed ---------- - With the robjects layer, repr() on a list containing non-vector elements was failing Release 2.2.1 ============= Bugs fixed ---------- - MANIFEST.in was missing from MANIFEST.in, required with Python 3 Release 2.2.0 ============= New Features ------------ - Support for Python 3, and for some of its features ported to Python 2.7 :mod:`rpy2.robjects`: - :meth:`Environment.keys` to list the keys - classes :class:`robjects.vectors.POSIXlt` and :class:`robjects.vectors.POSIXlt` to represent vectors of R dates/time - :func:`packages.get_packagepath` to get the path to an R package - module :mod:`rpy2.robjects.help` to expose the R help system to Python - Metaclass utilities in :mod:`rpy2.robjects.methods`, allowing to reflect automatically R S4 classes as Python classes. - :meth:`rpy2.robjects.vectors.FactorVector.iter_labels` to iterate over the labels - :class:`rpy2.robjects.vectors.ListVector` to represent R lists. - Constructor for :class:`rpy2.robjects.vectors.ListVector` and :class:`rpy2.robjects.vectors.DataFrame` accept any iterable at the condition that the elements iterated through also valid subscripts for it (e.g., given an iterable v, the following is valid: .. code-block:: python x[k] for x in v :mod:`rpy2.rinterface`: - :data:`NA_Complex` and :class:`NAComplexType` for missing complex values. - :class:`SexpExtPtr` to represent R objects of type EXTPTR (external pointers). - :func:`rpy2.rinterface.parse` to parse a string a R code - :func:`rpy2.rinterface.rternalise` to wrap Python function as :class:`SexpClosure` that can be called by R just as it was a function of its own. - :class:`rpy2.rinterface.RNULLType` for R's C-level NULL value and :class:`rpy2.rinterface.UnboundValueType` for R's C-level R_UnboundValue (both singletons). - :meth:`rinterface.SexpVector.index`, of similar behaviour to :meth:`list.index`. - :meth:`rpy2.rinterface.Sexp.list_attrs` to list the names of all R attributes for a given object. - :class:`rpy2.rinterface.ByteSexpVector` to represent R 'raw' vectors. - constant `R_LEN_T_MAX` to store what is the maximum length for a vector in R. - tuple `R_VERSION_BUILD` to store the version of R rpy2 was built against - getter :attr:`Sexp.rclass` to return the R class associated with an object :mod:`rpy2.rlike`: - :class:`container.OrdDict` get proper methods :meth:`keys` and `get` :mod:`rpy2.interactive`: - A new sub-package to provide utilities for interactive work, either for handling R interactive events or use Python for interactive programming (as often done with the R console) Changes ------- :mod:`rpy2.robjects`: - NA_bool, NA_real, NA_integer, NA_character and NA_complex are now deprecated (and removed). NA_Logical, NA_Real, NA_Integer, NA_Character, NA_Complex should be used. - :class:`rpy2.robjects.packages.Package` now inherits from :class:`types.ModuleType` - classes representing R vector also inherit their type-specific rinterface-level counterpart. - Importing the :class:`rpy2.robjects.numpy2ri` is no longer sufficient to active the conversion. Explicit activation is now needed; the function `activate` can do that. :mod:`rpy2.rinterface`: - :class:`IntSexpVector`, :class:`FloatSexpVector`, :class:`StrSexpVector`, :class:`BoolSexpVector`, :class:`ComplexSexpVector` are now defined at the C level, improving performances and memory footprint whenever a lot of instances are created. Bugs fixed ---------- - Better and more explicit detection system for needed libraries when compiling rpy2 (ported to release 2.1.6) - Long-standing issue with readline fixed (issue #10) Release 2.1.9 ============= Bugs fixed ---------- - The R class in rpy2.robjects is now truly a singleton - When using numpy 1.5 and Python >= 2.7, the exposed buffer for R numerical (double) vectors or arrays was wrong. Release 2.1.8 ============= Bugs fixed ---------- - Fixed issue with R arrays with more than 2 dimensions and numpy arrays (issue #47 - backported from the branch 2.2.x). Release 2.1.7 ============= Bugs fixed ---------- - More fixes for the automated detection of include and libraries at build time. Release 2.1.6 ============= Bugs fixed ---------- - Further fixes in the automatic detection of includes and libraries needed to compile rpy2 against R. The detection code has been refactored (backport from the 2.2.x branch) Release 2.1.5 ============= Bugs fixed ---------- - fixes the automatic detection of R_HOME/lib during building/compiling when R_HOME/lib is not in lib/ (issue #54) Release 2.1.4 ============= New features ------------ - :mod:`rpy2.robjects.lib.ggplot2` now has the functions :func:`limits`, :func:`xlim`, :func:`ylim` exposed (patch contributed anonymously) Bugs fixed ---------- - Install script when the BLAS library used by R is specified as a library file (patch by Michael Kuhn)
- Loading branch information