baserev update by copy to link target

• Files Changed
• Browse Source

- Update to 3.4.4:
  * `RRuntimeError` exceptions raised while evaluating R code
    an R magic (ipython/jupyter) are now propagated (issue #792).
  * :mod:`rpy2.robjects.lib.ggplot2` maps more functions in the
    R package (issue #767)
  * Utility function :func:`rpy2.robjects.lib.ggplot2.dict2rvec`
    to convert a Python `Dict[str, str]` into an R named vector
    of strings.
  * Converting pandas series with the older numpy types could result
    in an error (issue #781)
  * Numpy converter was not properly turing R integer or float arrays
    into their numpy equivalent (issue #785)
  * Multithreading during the initialization of the embedded R no longer
    triggers a fatal error (issue #729)
  * The mapping of the R C API now includes `Rf_isSymbol()`.
  * Singleton class :class:`rpy2.rinterface_lib.sexp.RVersion` to report
    the R version for the embedded R.
  * :func:`rpy2.rinterface.local_context` to create a context manager
    to evaluate R code within a local environment.
  * The `staticmethod` :meth:`rpy2.robjects.vectors.DateVector.isrinstance`
    will tell whether an R objects is an R `Date` array.
  * The functions :func:`rpy2.robjects.numpy.activate()` and
    :func:`rpy2.robjects.pandas.activate()` are deprecated and will
    be removed in rpy2*3.5.0.
  * :meth:`rpy2.robjects.lib.ggplot2.vars` to map the R function
    `ggplot2::vars` (issue #742).
  * Report correctly the class of R matrix objects with R>=4.0: it is
    now `('matrix', 'array')`. With R<4.0 `('matrix')` is still reported.
  * The conversion `rpy2py` is now working with any Python object inheriting
    from `_rinterface_capi.SupportsSEXP`.
  * More complete and correct mapping of R class names in
    :func:`rpy2.rinterface_lib.sexp.rclass_get`.
  * The conversion of R string arrays to `numpy` arrays was leaving
    R's `NA` value as R NA objects. NAs in this type of arrays are now
    turned to `None` in the resulting `numpy` array (issue #751).
  * `rpy2.situation.get_rlib_path()` was returning an environment variable
    with an invalid separator on Windows (mentioned in issue #754).
  * R strings encoded with something else than 'utf-8' could result in
    errors when trying to convert to Python strings (issue #754).
  * R `Date` arrays/vectors were not wrapped into
    :class:`rpy2.robjects.vectors.DateVector` objects but left as
    R arrays of floats (which they are at the C level).
  * The :meth:`__repr__` of `robjects`-level objects was not displaying
    the rpy2 class the R object is mapped to.
  * The unit tests for importing R packages with `lib_loc` were
    broken (issue #720).
  * Fix the constructor of metaclass
    :class:`rpy2.robjects.methods.RS4Auto_Type`.
  * Fix call to end the embedded R in :class:`rpy2.robjects.R.__cleanup__`
    (issue #734). 
- Do not build on Python 3.6, due to no NumPy.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Update to 3.3.5
  * Trying to import an R package that it not installed will now raise an
    exception :class:`rpy2.robjects.packages.PackageNotInstalledError`.
  * The R C API functions `void SET_FRAME(SEXP x, SEXP v)`,
    `void SET_ENCLOS(SEXP x, SEXP v)` and `void SET_HASHTAB(SEXP x, SEXP v)`
    are now accessible through rpy2.
  * When calling R C-API's `R_ParseVector` and a error occurs, the
    exception message now contains the parsing status.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Update to 3.2.6
  + Bugs fixed
    * The conversion of date/time object with specified timezones
      was wrong when different than the local time zone
    * Iterating over :mod:`rpy2.situation.iter_info()` could result
      in a error because of a typo in the code.
  + Changes
    * :mod:`pandas` 1.0.0 breaks the conversion layer. A warning
      is not emitted whenever trying to use `pandas` >= 1.0.

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Update to 3.2.5
  * Delimit multi-line expressions with parenthesis rather than backslash.
  * Use Rf_initEmbeddedR(), remove setup_Rmainloop() (not necessary, it seems).
- Update to 3.2.4
  * Fix ABI mode
- Update to 3.2.3
  * Backport fix for segfault when parsing.
  

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

Update to version 3.2.2

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Update to Release 3.0.5
  + Bugs fixed
    * No longer allow installation if Python 3 but < 3.5.
    * Fixed error `undefined symbol: DATAPTR` if R < 3.5.
- Update to Release 3.0.4
  + Bugs fixed
    * Fixed conversion of `pandas` :class:`Series` of dtype `pandas.Int32Dtype`,
      or `pandas.Int64Dtype`.
- Update to Release 3.0.3
  + 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`.
    * Fixed conversion of :class:`pandas.Series` of `dtype` "object" when
      all items are either all of the same type or are :obj:`None`.
- Update to Release 3.0.2
  + 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"`.
    * Callback for console reset was not set during R initialization.
    * Fixed rternalized function returning rpy2 objects.
    * `--vanilla` is no longer among the default options used to initialize R.
- Update to Release 3.0.1
  + 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.
- Update to Release 3.0.0
  + 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.
  + Known issues
    * Mismatch between R's POSIXlt `wday` and Python time struct_time's `tm_wday`.
- Update to Release 2.9.6
  + Bugs fixed
    * Latest release of :mod:`pandas` deprecated :meth:`DataFrame.from_items`.
    * 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

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Update to 2.9.5
  * Missing values in pandas :class:`Category` series were creating
    invalid R factors when converted (issue #493).

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- Remove unused dependencies on blas libraries
- Don't exclude post-build-checks

• Files Changed
• Browse Source

baserev update by copy to link target

• Files Changed
• Browse Source

- 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).

• Files Changed
• Browse Source

converted link to branch

• Files Changed
• Browse Source

• Browse Source