Fixed issue where reticulate failed to bind to python2. (#1241, #1229)
A warning is now issued when reticulate binds to python2 that python2 support will be removed in an upcoming reticulate release.
py_id() now returns a character string, instead of
an R integer (#1216).
Fixed an issue where py_to_r() would not convert
elements of a dictionary (#1221).
Fixed an issue where setting RETICULATE_PYTHON or
RETICULATE_PYTHON_FALLBACK on Windows to the pyenv-win
python.bat shim would result in an error (#1263).
Fixed an issue where datetime.datetime objects with
a tzinfo attribute was not getting converted to R correctly
(#1266).
Fixed an issue where pandas
pandas.Categorical(,ordered=True) Series were not correctly
converted to an R ordered factor (#1234).
The reticulate Python engine no longer halts on
error for Python chunks containing parse errors when the
error=TRUE chunk option is set. (#583)
install_python() now leverages brew for python build
dependencies like openssl@1.1 if brew is already installed and on the
PATH, substantially speeding up install_python() on macOS
systems with brew configured.
Fixed an issue where reticulate would fail to bind to a conda environment on macOS or linux if conda installed a non-POSIX compliant activation script into the conda environment. (#1255)
Fixed an issue where the python knitr engine would error when
printing to HTML a constructor of class instances with a
_repr_html_ or to_html method (e.g.,
pandas.DataFrame; #1249, #1250).
Fixed an issue where the python knitr engine would error when printing a plotly figure to an HTML document in some (head-less) linux environments (#1250).
Fixed an issue where conda_install(pip=TRUE) would
install packages into a user Python library instead of the conda env if
the environment variable PIP_USER=true was set.
py_install(), virtualenv_install(), and
conda_install() now always specify --no-user
when invoking pip install. (#1209)
Fixed issue where py_last_error() would return
unconverted Python objects (#1233)
The Knitr engine now supports printing Python objects with
_repr_markdown_ methods. (via
quarto-dev/quarto-cli#1501)
sys.executable on Windows now correctly reports the
path to the Python executable instead of the launching R executable.
(#1258)
The sys module is no longer automatically imported
in __main__ by reticulate.
Fixed an issue on Windows where reticulate would fail to find Python installations from pyenv installed via scoop.
Fixed an issue where configure_environment() would
error on Windows. (#1247)
Updated docs for compatibility with HTML5 / R 4.2.
Updated r_to_py.sparseMatrix() method for compatibility with Matrix 1.4-2.
Fixed an issue where reticulate would fail if R was running embedded under rpy2. reticulate now ensures the Python GIL is acquired before calling into Python. (#1188, #1203)
Fixed an issue where reticulate would fail to bind to an ArcGIS Pro conda environment (#1200, @philiporlando).
Fixed an issue where reticulate would fail to bind to an Anaconda base environment on Windows.
All commands that create, modify, or delete a Python environment now echo the system command about to be executed. Affected: virtualenv_{create,install,remove} conda_{create,clone,remove,install,update} py_install
install_python() and
create_virtualenv() gain the ability to automatically
select the latest patch of a requested Python version. e.g.:
install_python("3.9:latest"),
create_virtualenv("my-env", version = "3.9:latest")
install_python() version arg gains
default value of "3.9:latest".
install_python() can now be called with no
arguments.
Fixed an issue where reticulate would fail to bind to a conda python if the user didn’t have write permissions to the conda installation (#1156).
Fixed an issue where reticulate would fail to bind to a conda python if spaces were present in the file path to the associated conda binary (#1154).
use_python(, required = TRUE) now issues a warning
if the request will be ignored (#1150).
New function py_repr() (#1157)
print() and related changes (#1148, #1157):
print() method for Python objects now
invokes py_repr() instead of str().format() method that
invokes py_str().py_str() default method no longer strips the object
memory address.print() now returns the printed object invisibly, for
composability with %>%.Exception handling changes (#1142, @t-kalinowski):
R error messages from Python exceptions are now truncated
differently to satisfy getOption("warning.length"). A hint
to call reticulate::py_last_error() is shown if the
exception message was truncated.
Python buffers sys.stderr and
sys.stdout are now flushed when Python exceptions are
raised.
-py_last_error():
Return object is now an S3 object ‘py_error’, includes a default print method.
The python Exception object (‘python.builtin.Exception’) is available as an R attribute.
Gains the ability to restore a previous exception if provided in
a call py_last_error(previous_error)
Python traceback objects gain a default format() S3
method.
Fixed py_to_r() for scipy matrices when scipy >=
1.8.0, since sparse matrices are now deprecated.
Fixed r_to_py() for small scipy matrices.
New maintainer: Tomasz Kalinowski
reticulate would fail to bind to
the system version of Python on macOS if command line tools were
installed, but Xcode was not.use_condaenv() gains the ability to accept an
absolute path to a python binary for envname.
All python objects gain a length() method, that
returns either py_len(x), or if that fails,
as.integer(py_bool(x)).
conda_create() default for
python_version changed from NULL to
miniconda_python_version() (presently, 3.8).
New function py_bool(), for evaluating Python
“truthiness” of an object.
reticulate gains the function
py_list_packages(), and can be used to list the Python
modules available and installed in a particular Python environment.
(#933)
reticulate now supports conversion of Python datatable objects.
(#1081)
repl_python() gains support for invoking select
magic and system commands like !ls and
%cd <dir>. See ?repl_python() for
details and examples.
The development branch for reticulate has moved to
the “main” branch.
reticulate gains
reticulate::conda_update(), for updating the version of
conda in a particular conda
installation.
reticulate gains
reticulate::miniconda_uninstall(), for uninstalling the
reticulate-managed version of Miniconda. (#1077)
reticulate::use_python() and friends now assume
required = TRUE by default. For backwards compatibility,
when use_python() is called as part of a package load hook,
the default value will instead be FALSE.
reticulate now provides support for Python
environments managed by poetry.
For projects containing a pyproject.toml file,
reticulate will attempt to find and use the virtual
environment managed by Poetry for that project. (#1031)
The default version of Python used for the
r-reticulate Miniconda environment installed via
reticulate::install_miniconda() has changed from 3.6 to
3.8.
reticulate::install_miniconda() now prefers
installing the latest arm64 builds of miniforge. See
https://conda-forge.org/blog/posts/2020-10-29-macos-arm64/ for more
details.
reticulate::conda_create() gains the
environment argument, used when creating a new conda
environment based on an exported environment definition
(e.g. environment.yml or
environment.json).
reticulate gains the function,
conda_export(), for exporting a conda environment
definition as YAML. Environments are exported as via the
conda env export command. (#779)
reticulate::find_conda() will now locate miniforge
Conda installations located within the default install
locations.
Fixed an issue that caused
reticulate::conda_install(pip = TRUE) to fail on windows.
(#1053, @t-kalinowski)
reticulate::conda_install(pip = TRUE) to fail. (#1052)use_condaenv("base") can now be used to activate the
base Anaconda environment.
reticulate will now execute any hooks registered via
setHook("reticulate.onPyInit", <...>) after Python
has been initialized. This can be useful for packages that need to take
some action after reticulate has initialized
Python.
Further refined interrupt handling.
Fixed an issue where attempting to bind reticulate
to /usr/bin/python3 on macOS could fail if Xcode was not
installed. (#1017)
The reticulate Python REPL no longer exits when a
top-level interrupt is sent (e.g. via Ctrl + C).
The miniconda auto-installer now supports aarch64 Linux machines. (#1012)
Fixed an issue where matplotlib plots were incorrectly overwritten when multiple Python chunks in the same R Markdown document included plot output. (#1010)
reticulate can now use the version of Python
configured in projects using pipenv. If the project
contains a Pipfile at the root directory (as understood by
here::here()), then reticulate will invoke
pipenv --venv to determine the path to the Python virtual
environment associated with the project. Note that the
RETICULATE_PYTHON environment variable, as well as usages
of use_python(..., force = TRUE), will still take
precedence. (#1006)
Fixed an issue where
reticulate::py_run_string(..., local = TRUE) failed to
return the dictionary of defined Python objects in some cases.
Fixed an issue where reticulate’s interrupt handlers
could cause issues with newer versions of Python.
reticulate now better handles Pandas categorical
variables containing NA values. (#942)
reticulate now supports converting
pandas.NA objects into R NA objects.
(#950)
reticulate now sets the
PYTHONIOENCODING environment variable to UTF-8 when running
within RStudio. This should allow UTF-8 input and output to be handled
more appropriately.
reticulate gains the install_python()
function, used to install different versions of Python via pyenv (pyenv-windows on
Windows).
Interrupt signals (e.g. those generated by Ctrl + C)
are now better handled by reticulate. In particular, when
repl_python() is active, Ctrl + C can be used
to interrupt a pending Python computation.
virtualenv_create() gains the
pip_version and setuptools_version arguments,
allowing users to control the versions of pip and
setuptools used when initializing the virtual environment.
The extra argument can also now be used to pass arbitrary
command line arguments when necessary.
virtualenv_create() gains the module
argument, used to control whether virtualenv or
venv is used to create the requested virtual
environment.
py_to_r.datetime.datetime no longer errs when
tzname is NULL, and instead assumes the time
is formatted for UTC. (#876)
reticulate now supports the rendering of plotly plots and Altair charts in rendered R
Markdown documents. (#711)
reticulate now avoids invoking property methods when
inferring the type for Python class members, for auto-completion
systems. (#907)
reticulate now attempts to set the
QT_QPA_PLATFORM_PLUGIN_PATH environment variable when
initializing a Conda installation of Python, when that associated
plugins directory exists. (#586)
The reticulate Python engine now supports the
results = "hold" knitr chunk option. When set, any
generated outputs are “held” and then displayed after the associated
chunk’s source code. (#530)
conda_create() gains the python_version
argument, making it easier to request that Conda environments are
created with a pre-specified version of Python. (#766)
Fixed an issue where reticulate::conda_install()
would attempt to re-install the default Python package, potentially
upgrading or downgrading the version of Python used in an
environment.
Fixed an issue where reticulate invoked its
reticulate.initialized hook too early.
Fixed an issue where Python modules loaded on a separate thread could cause a crash. (#885)
conda_install() now allows version specifications
for the python_version argument;
e.g. conda_install(python_version = ">=3.6").
(#880)
Fixed an issue where conda_install() failed to pass
along forge and channel in calls to
conda_create(). (#878)
Fixed an issue where Python’s auto-loader hooks could fail when binding to a Python 2.7 installation.
python_config() could throw an
error when attempting to query information about a Python 2.6
installation.reticulate now checks for and disallows installation
of Python packages during R CMD check.
reticulate no longer injects the r
helper object into the main module if another variable called
r has already been defined.
The function py_help_handler() has now been
exported, to be used by front-ends and other tools which need to provide
help for Python objects in different contexts. (#864)
Fixed an issue where timezone information could be lost when converting Python datetime objects to R. (#829)
Fixed an issue where numeric (rather than integer) dimensions could cause issues when converting SciPy sparse matrices to their R counterparts. (#844)
Fixed an issue where R data.frames with non-ASCII
column names could not be converted to Pandas DataFrames.
(#834)
Fixed an issue where the pip_ignore_installed
argument in conda_install() was silently being
ignored.
Fixed an issue where reticulate::conda_install()
could re-install Python into an environment when not explicitly
requested by the user.
reticulate now sets LD_LIBRARY_PATH
when discovering Python. (#836)
reticulate is now better at capturing Python logger
streams (those that write to stdout or stderr) when
py_capture_output() is set. (#825)
reticulate no longer calls
utils::loadhistory() after each REPL iteration.
reticulate now better detects when Python modules
are loaded.
reticulate::import_from_path() now accepts the
delay_load parameter, allowing modules which should be
loaded from a pre-specified path to be lazy-loaded.
Fixed an issue where reticulate load hooks (normally
defined via
setHook("reticulate::<module>::load", ...)) would
segfault if those hooks attempted to load the hooked module.
reticulate now attempts to resolve the conda binary
used to create the associated Conda environment in calls to
py_install(). This should fix use cases where Conda
environments are placed outside of the Conda installation
itself.
reticulate now sets PYTHONPATH before
loading Python, to ensure modules are looked up in the same locations
where a regular Python interpreter would find them on load. This should
fix issues where reticulate was unable to bind to a Python
virtual environment in some cases.
reticulate::virtualenv_create() gains the
packages argument, allowing one to choose a set of packages
to be installed (via pip install) after the virtual
environment has been created.
reticulate::virtualenv_create() gains the
system_site_packages argument, allowing one to control
whether the --system-site-packages flag is passed along
when creating a new virtual environment. The default value can be
customized via the
"reticulate.virtualenv.system_site_packages" option and now
defaults to FALSE when unset.
Fixed an issue where
reticulate::configure_environment() would fail when
attempting to configure an Anaconda environment. (#794)
reticulate now avoids presenting a Miniconda prompt
for interactive sessions during R session initialization.
Fixed unsafe usages of Rprintf() and
REprintf().
reticulate::py_install() better respects the
method argument, when py_install() is called
without an explicit environment name. (#777)
reticulate:::pip_freeze() now better handles
pip direct references. (#775)
Fixed an issue where output generated from
repl_python() would be buffered until the whole submitted
command had completed. (#739, @randy3k)
reticulate now explicitly qualifies symbols used
from TinyThread with tthread::, to avoid issues with symbol
conflicts during compilation. (#773)
reticulate will now prefer an existing Miniconda
installation over a conda binary on the PATH, when looking
for Conda. (#790)
TinyThread now calls Rf_error() rather than
std::terminate() when an internal error occurs.
Conversion of Pandas DataFrames to R no longer emits deprecation warnings with pandas >= 0.25.0. (#762)
reticulate now properly handles the version strings
returned by beta versions of pip. (#757)
conda_create() gains the forge and
channel arguments, analogous to those already in
conda_install(). (#752, @jtilly)
reticulate now ensures SciPy csr_matrix
objects are sorted before attempting to convert them to their R
equivalent. (#738, @paulofelipe)
Fixed an issue where calling input() from Python
with no prompt would fail. (#728)
Lines ending with a semi-colon are no longer auto-printed in the
reticulate REPL. (#717, @jsfalk)
reticulate now searches for Conda binaries in
/opt/anaconda and /opt/miniconda. (#713)
The conda executable used by reticulate
can now be configured using an R option. Use
options(reticulate.conda_binary = <...>) to force
reticulate to use a particular conda
executable.
reticulate::use_condaenv() better handles cases
where no matching environment could be found. (#687)
reticulate gains the py_ellipsis()
function, used to access the Python Ellipsis builtin.
(#700, @skeydan)
reticulate::configure_environment() now only allows
environment configuration within interactive R sessions, and ensures
that the version of Python that has been initialized by Python is indeed
associated with a virtual environment or Conda environment. Use
reticulate::configure_environment(force = TRUE) to force
environment configuration within non-interactive R sessions.
reticulate now automatically flushes output written
to Python’s stdout / stderr, as a top-level task added by
addTaskCallback(). This behavior is controlled with the
options(reticulate.autoflush) option. (#685)
reticulate::install_miniconda() no longer attempts
to modify the system PATH or registry when installing Miniconda.
(#681)
reticulate::conda_install() gains the
channel argument, allowing custom Conda channels to be used
when installing Python packages. (#443)
reticulate::configure_environment() can now be used
to configure a non-Miniconda Python environment. (#682; @skeydan)
Fixed an issue where matplotlib plots would be included using absolute paths, which fails in non-standalone documents rendered to HTML. (#669)
Fixed an issue where reticulate would attempt to
flush a non-existent stdout / stderr stream. (#584)
Fixed an issue where rmarkdown::render() could fail
when including matplotlib plots when knit_root_dir is set.
(#645)
reticulate now scans for Conda installations within
the ~/opt folder, as per the updated installers distributed for macOS.
(#661)
Python classes can now be defined directly from R using the
PyClass() function. (#635; @dfalbel)
reticulate is now compatible with Python 3.9. (#630, @skeydan)
Pandas DataFrames with a large number of columns should now be converted to R data.frames more quickly. (#620, @skeydan)
Python loggers are now better behaved in the Python chunks of R Markdown documents. (#386)
reticulate will now attempt to bind to python3
rather than python, when no other version of Python has
been explicitly requested by e.g. use_python().
reticulate now provides R hooks for Python’s input()
and raw_input() functions. It should now be possible to
read user input from Python scripts loaded by reticulate.
(#610)
reticulate now more consistently normalizes the
paths reported by py_config(). (#609)
reticulate now provides a mechanism for allowing
client packages to declare their Python package dependencies. Packages
should declare the Python packages they require as part of the
Config/reticulate field in their DESCRIPTION
file. Currently, this only activated when using Miniconda; as the
assumption is that users will otherwise prefer to manually manage their
Python environments. Please see
vignette("python_dependencies") for more details.
reticulate will now prompt the user to create and
use a Miniconda
environment when no other suitable Python environment has already been
requested. This should help ease some of the trouble in setting up a
Python environment on different platforms. The installer code was
contributed by @hafen,
from the rminiconda
package.
Fixed an issue where
virtualenv_create(..., python = "<python>") could
fail to use the requested version of Python when venv is
not installed. (#399)
Fixed an issue where iterable Python objects could not be
iterated with iter_next() due to a missing class.
(#603)
Fixed an issue where Conda environments could be mis-detected as virtual environments.
R functions wrapping Python functions now inherit the formal arguments as specified by Python, making autocompletion more reliable. (#573, @flying-sheep)
Fixed an issue where attempts to query Conda for environments could fail on Windows. (#576; #575; @dfalbel)
Properly check for NULL keyword arguments in
call_r_function(). (#562, @dfalbel)
Fixed an issue where subsetting with
[.python.builtin.object could fail when
convert = TRUE is set on the associated Python object.
(#554)
Fixed an issue where the wrong definition of
[[.python.builtin.object was being exported.
(#554)
py_install() now accepts
python_version, and can be used if a particular version of
Python is required for a Conda environment. (This argument is ignored
for virtual environments.) (#549)
Fixed an issue where reticulate could segfault in some cases
(e.g. when using the iterate() function). (#551)
It is now possible to compile reticulate with
support for debug versions of Python by setting the
RETICULATE_PYTHON_DEBUG preprocessor define during
compilation. (#548)
reticulate now warns if it did not honor the user’s request to
load a particular version of Python, as through
e.g. reticulate::use_python(). (#545)
py_save_object() and py_load_object()
now accept ... arguments. (#542)
py_install() has been revamped, and now better
detects available Python tooling (virtualenv vs. venv vs. Conda).
(#544)
reticulate now flushes stdout / stderr after calls to
py_run_file() and py_run_string().
Python tuples are now converted recursively, in the same way that Python lists are. This means that the sub-elements of the tuple will be converted to R objects when possible. (#525, @skeydan)
Python OrderedDict objects with non-string keys are now properly converted to R. (#516)
Fixed an issue where reticulate could crash after a failed attempt to load NumPy. (#497, @ecoughlan)
Fixed an issue where Python objects within Python lists would not be converted to R objects as expected.
Fixed an issue where single-row data.frames with row names could not be converted. (#468)
Fixed an issue where reticulate could fail to query
Anaconda environment names with Anaconda 3.7.
Fixed an issue where vectors of R Dates were not converted correctly. (#454)
Fixed an issue where R Dates could not be passed to Python functions. (#458)
Fixed an issue where attempts to activate virtual environments created with virtualenv 16.4.1 would fail. (#437)
Fixed an issue where conversion of Pandas Categorical variables to R objects would fail. (#389)
Textual output generated when adding items to a matplotlib plot object are now suppressed.
If the last statement in a Python chunk returns a matplotlib plot object, the plot will now be auto-shown as in other environments.
The reticulate function help handler now returns function arguments for Python builtin functions.
Top-level Python statements can now include leading indent when
submitted with repl_python().
The current matplotlib figure is now cleared as each
Python chunk in an R Markdown document is run.
The r helper object (used for evaluating R code from
Python) now better handles conversion of R functions. (#383)
The use_virtualenv() function now understands how to
bind to virtual environments created by the Python venv
module.
Reticulate better handles conversions of R lists to Python, and
similarly, Python lists to R. We now call r_to_py() on each
sub-element of an R list, and similarly, py_to_r() on each
sub-element of a Python list.
Reticulate now always converts R Date objects into
Python datetime objects. Note that these conversions can be
inefficient – if you would prefer conversion to NumPy
datetime64 objects / arrays, you should convert your date
to POSIXct first.
Python chunks containing errors will cause execution to halt if ‘error=FALSE’ during render, conforming with the default knitr behavior for R chunks.
The output of bare statements (e.g. 1 + 1) is now
emitted as output when using the reticulate Python engine.
Remapping of Python output streams to be R can now be explicitly
enabled by setting the environment variable
RETICULATE_REMAP_OUTPUT_STREAMS to 1. (#335)
Allow syntax errors in Python chunks with ‘eval = FALSE’ (#343)
Avoid dropping blank lines in Python chunks (#328)
Use “agg” matplotlib backend when running under RStudio Desktop (avoids crashes when attempting to generate Python plots)
Add as.character() S3 method for Python bytes
(defaults to converting using UTF-8 encoding)
Add py_main_thread_func() for providing R callbacks
to Python libraries that may invoke the function on a Python background
thread.
Add py_to_r S3 methods for Scipy sparse matrices:
CSR to dgRMatrix, COO to dgTMatrix, and for all other sparse matrices,
conversion via CSC/dgCMatrix.
Output is now properly displayed when using the
reticulate REPL with Windows + Python 2.7.
Address memory protection issues identified by rchk
Make variables defined using %as% operator in
with() available after execution of the with block (same
behavior as Python).
Check for presence of “module” property before
reading in as_r_class()
Only update pip in virtualenv_install() when version
is < 8.1
Support converting Python OrderedDict to R
Support for iterating all types of Python iterable
Add conda_python() and
virtualenv_python() functions for finding the python binary
associated with an environment.
Detect python 3 in environments where there is no python 2 (e.g. Ubuntu 18.04)
Always call r_to_py S3 method when converting objects from Python to R
Handle NULL module name when determining R class for Python objects
Convert RAW vectors to Python bytearray; Convert Python bytearray to RAW
Use importlib for detecting modules (rather than imp) for Python >= 3.4
Close text connection used for reading Python configuration probe
source_python() now flushes stdout and stderr after
running the associated Python script, to ensure that
print()-ed output is output to the console. (#284)
Fixed an issue where logical R matrices would not be converted correctly to their NumPy counterpart. (#280)
Fixed an issue where Python chunks containing multiple statements on the same line would be evaluated and printed multiple times.
Added py_get_item(), py_set_item(), and
py_del_item() as lower-level APIs for directly accessing
the items of e.g. a Python dictionary or a Pandas DataFrame.
Fix issue with Pandas column names that clash with built in methods (e.g. ‘pop’)
Improve default str() output for Python objects
(print __dict__ if available)
Improved filtering of non-numeric characters in Python / NumPy versions.
Added py_func() to wrap an R function in a Python
function with the same signature as that of the original R
function.
Added support for conversion between
Matrix::dgCMatrix objects in R and Scipy CSC
matrices in Python.
source_python() can now source a Python script from
a URL into R environments.
Always run source_python() in the main Python
module.
py_install() function for installing Python packages
into virtualenvs and conda envs
Automatically create conda environment for
conda_install()
Removed delay_load parameter from
import_from_path()
repl_python() function implementing a lightweight
Python REPL in R.
Support for converting Pandas objects (Index,
Series, DataFrame)
Support for converting Python datetime
objects.
py_dict() function to enable creation of
dictionaries based on lists of keys and values.
Provide default base directory (e.g. ‘~/.virtualenvs’) for
environments specified by name in
use_virtualenv().
Fail when environment not found with
use_condaenv(..., required = TRUE)
Ensure that use_* python version is satisfied when
using eng_python()
Forward required argument from
use_virtualenv() and use_condaenv()
Fix leak which occurred when assigning R objects into Python containers
Add support for Conda Forge (enabled by default) to
conda_install()
Added functions for managing Python virtual environments (virtualenv)
Remove implicit documentation extraction for Python classes
Add Library\bin to PATH on Windows to ensure
Anaconda can find MKL
New source_python() function for sourcing Python
scripts into R environments.
Support for RETICULATE_DUMP_STACK_TRACE environment
variable which can be set to the number of milliseconds in which to
output into stderr the call stacks from all running threads.
Provide hook to change target module when delay loading
Scan for conda environments in system-level installations
Support for miniconda environments
Implement eval, echo, and
include knitr chunk options for Python engine
Use existing instance of Python when reticulate is loaded within an embedded Python environment (e.g. rpy2, rice, etc.)
Force use of Python specified in PYTHON_SESSION_INITIALIZED (defined by rpy2)
Define R_SESSION_INITIALIZED (used by rpy2)
Force use of Python when required = TRUE in
use_python functions
Force use of Python specified by RETICULATE_PYTHON
dict: Don’t scan parent frame for Python objects if
a single unnamed list is passed.
Wait as long as required for scheduling generator calls on the main thread
Refine stripping of object addresses from output of
py_str() method
Added py_id() function to get globally unique ids
for Python objects
Added py_len() function and S3 length()
method for Python lists (already had length() methods for
dicts, tuples, and NumPy arrays).
Exported py object (reference to Python main
module)
Added eng_python() (knitr engine for Python
chunks)
Improved compatibility with strings containing high unicode characters when running under Python 2
Remove dim methods for NumPy arrays (semantics of
NumPy reshaping are different from R reshaping)
Added array_reshape function for reshaping R arrays
using NumPy (row-major) semantics.
Provide mechanism for custom R wrapper objects for Python objects
Added interface to pickle (py_save_object() and
py_load_object())
Catch and print errors which occur in generator functions
Write using Rprintf when providing custom Python output streams (enables correct handling of terminal control characters)
Implement isatty when providing custom Python output
streams
Add np_array function for creating NumPy arrays and
converting the data type, dimensions, and in-memory ordering of existing
NumPy arrays.
Add dim and length functions for NumPy
arrays
Add py_set_seed function for setting Python and
NumPy random seeds.
Search in additional locations for Anaconda on Linux/Mac
Improved support for UTF-8 conversions (always use UTF-8 when converting from Python to R)
Ignore private (“_” prefixed) attributes of dictionaries for .DollarNames
Provide “`function`” rather than “function” in completions.
Fail gracefully if call to conda in conda_list
results in an error
Add pip_ignore_installed option to
conda_install function.
Allow dict() function to accept keys with mixed
alpha/numeric characters
Use conda_list() to discover conda environments on
Windows (slower but much more reliable than scanning the
filesystem)
Add interface for registering F1 help handlers for Python modules
Provide virtual/conda env hint mechanism for delay loaded imports
Search WORKON_HOME (used by virtualenv_wrapper) for Python environments
Support priority field for delay loaded
modules.
Use json output from conda_list (handle spaces in path of conda env)
Look for callable before iterable when converting Python objects to R
Correct propagation of errors in R functions called from Python
Support for generators (creating Python iterators from R functions)
Changed default completed value for
iter_next() to NULL (was
NA)
Support for converting 16-bit floats (NPY_HALF) to R
Don’t throw error when probing Python <= 2.6
Copy Python dictionary before converting to R named list (fixes issue with dictionaries that are mutated during iteration, e.g. sys.modules)
Ensure that existing warning filters aren’t reset by py_suppress_warnings
Detect older versions of Anaconda during registry scanning.
Don’t probe python versions on windows when no executable is found
Poll for interrupts every 500ms rather than 100ms
Provide sys.stdout and sys.stderr when they are None (e.g. in R GUI)
Add Scripts directory to PATH on Windows
Add iter_next function for element-by-element access to iterators
Eliminate special print method for iterators/generators
Added py_help() function for printing documentation
on Python objects
Added conda_version() function.
Search dict() parent frames for symbols; only use
symbols which inherit from python.builtin.object as keys.
Add import_from_path() function for importing Python
modules from the filesystem.
Add py_discover_config() function to determine which
versions of Python will be discovered and which one will be used by
reticulate.
Add py_function_docs() amd
py_function_wrapper() utility functions for scaffolding R
wrappers for Python functions.
Add py_last_error() function for retrieving last
Python error.
Convert 0-dimension NumPy arrays (scalars) to single element R vectors
Convert “callable” Python objects to R functions
Automatically add Python bin directory to system PATH for consistent version usage in reticulate and calls to system
Added length() method for tuple objects
Enable specification of __name__ for R functions
converted to Python functions.
Give priority to the first registered delay load module (previously the last registered module was given priority)
Add additional safety checks to detect use of NULL xptr objects (i.e. objects from a previous session). This should mean that S3 methods no longer need to check whether they are handling an xptr.
Added py_eval() function for evaluating simple
Python statements.
Add local option to py_run_string() and
py_run_file(). Modify behavior to return local execution
dictionary (rather than a reference to the main module).
Use PyImport_Import rather than
PyImport_ImportModule for import()
Added ability to customize mapping of Python classes to R classes
via the as argument to import() and the
register_class_filter() function
Added separate on_load and on_error
functions for delay_load
Scan customary root directories for virtualenv installations
Allow calling __getitem__ via [[
operator (zero-based to match Python style indexing)
Added conda_* family of functions for using conda
utilities from within R.
Implement comparison operators (e.g. ==,
>=, etc.) for Python objects
Implement names() generic for Python
objects
Improve performance for marshalling of large Python dictionaries and iterators that return large numbers of items.
Implement str methods for Python List, Dict, and
Tuple (to prevent printing of very large collections via default
str method)
Use grepl() rather than endsWith() for
compatibility with R <= 3.2
Use inspect.getmro rather than
__bases__ for enumerating the base classes of Python
objects.
Fix PROTECT/UNPROTECT issue detected by
CRAN
Correct conversion of strings with Unicode characters on Windows
Fix incompatibility with system-wide Python installations on Windows
Fix issue with Python dictionary keys that shared names with primitive R functions (don’t check environment inheritance chain when looking for dictionary key objects by name).
Propagate convert parameter for modules with
delay_load