reticulate 1.9 (CRAN)

  • 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

reticulate 1.8

  • 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)

reticulate 1.7

  • 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()

reticulate 1.6

  • 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 satsified 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)

reticulate 1.5

  • 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.

reticulate 1.4

  • 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

reticulate 1.3.1

  • Bugfix: ensure single-line Python chunks that produce no output still have source code emitted.

reticulate 1.3

  • 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

reticulate 1.2

  • 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.

reticulate 1.1

  • 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

reticulate 1.0

  • 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

reticulate 0.9

  • 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.

reticulate 0.8

  • 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 retreiving 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 converstion 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

reticulate 0.7

  • Initial CRAN release