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reticulate 1.36.0
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@t-kalinowski t-kalinowski released this 15 Apr 13:19
v1.36.0
2e73fb9

  • Internal refactoring and optimization now give a faster experience,
    especially for workflows that frequently access Python objects from R.
    For example, simple attribute access like sys$path is ~2.5x times faster, and
    a sample workload of py_to_r(np_array(1:3) + np_array(1:3)) benchmarks
    ~3.5x faster when compared to the previous CRAN release.

  • Fixed issue where callable python objects created with convert = FALSE would not be
    wrapped in an R function (#1522).

  • Fixed issue where py_to_r() S3 methods would not be called on arguments supplied to
    R functions being called from Python (#1522).

  • install_python() will now build optimized versions of Python on macOS and Linux (#1567)

  • Default Python version installed by install_python() is now 3.10 (was 3.9) (#1574).

  • Output of reticulate::py_last_error() now includes a hint, showing how to access
    the full R call stack (#1572).

  • Fixed an issue where nested py_capture_output() calls result in a lost reference
    to the original sys.stdout and sys.stderr, resulting in no further visible output
    from Python, and eventually, a segfault. (#1564)

  • Fixed issues reported by rchk, as requested by CRAN (#1581).

  • py_to_r(x) now returns x unmodified if x is not a Python object,
    instead of signaling an error.

  • New as.data.frame() method exported for Python Polars DataFrames (#1568)

  • Fixed an issue where printing a delayed module (import("foo", delay_load = TRUE))
    would output <pointer: 0x0>.

  • py_validate_xptr() will now attempt to resolve delayed modules before
    signaling an error (#1561).

  • R packages can now express multiple preferred Python environments to
    search for and use if they exist, by supplying a character vector to import():
    import("foo", delay_load = list(environment = c("r-foo", "r-bar"))) (#1559)

  • Reticulate will no longer warn about ignored use_python(,required = FALSE) calls (#1562).

  • reticulate now prefers using the agg matplotlib backend when the R session
    is non-interactive. The backend can also be overridden via the MPLBACKEND or
    RETICULATE_MPLBACKEND environment variables when necessary (#1556).

  • attr(x, "tzone") attributes are (better) preserved when converting POSIXt to Python.
    POSIXt types with a non-empty tzone attr convert to a datetime.datetime,
    otherwise they convert to NumPy datetime64[ns] arrays.

  • Fixed an issue where calling py_set_item() on a subclassed dict would
    not invoke a custom __setitem__ method.

  • py_del_attr(x, name) now returns x invisibly

  • source_python() no longer exports the r symbol to the R global environment.
    (the "R Interface Object" that is used by Python code get a reference to the
    R globalenv())

  • Fixed hang encountered (sometimes) when attempting to call iterate()
    on an exhausted py_iterator() object multiple times (#1539).

  • iterate(simplify=TRUE) rewritten in C for speed improvements (#1539).

  • Update for Pandas 2.2 deprecation of Index.format() (#1537, #1538).

  • Updates for CRAN R-devel (R 4.4) (#1554).

  • Fixed an issue where py_discover_config() would discover python (v2) on the PATH
    in preference of python3 on the PATH. (#1547)

  • Fixed an issue where reticulate would error when using conda environments created
    with the (new) conda env create command. (#1535, #1543)

  • Fixed an issue where reticulate would error when using a conda environment
    where the original conda binary that was used to create the environment
    is no longer available (#1555)

  • Fixed an issue where a user would be unable to accept the prompt to create
    the default "r-reticulate" venv (#1557).

  • is_py_object() is now exported (#1573).

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