Add a page listing default conversions.

.github/workflows/mypy.yml

@@ -9,11 +9,22 @@ jobs:
     name: Mypy
     steps:
     - uses: actions/checkout@v4
+
+    - name: Set up Python
+      uses: actions/setup-python@v5
+      with:
+        python-version: "3.11"
+
+    - name: Install dependencies
+      run: |
+        pip3 install ".[test,typing]" mypy;
+        rm -rf build;  
+
     - uses: tsuyoshicho/action-mypy@v4
       with:
         github_token: ${{ secrets.github_token }}
         reporter: github-pr-review
+        install_types: false
         # The action will output fail if there are mypy errors
         level: error
-        setup_command: pip install ".[test,typing]" mypy
-        mypy_flags: ''
+        filter_mode: nofilter

.github/workflows/ruff.yml

@@ -1,8 +1,10 @@
 name: Ruff
-on: [push, pull_request]
+on: [push]
 jobs:
   ruff:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3
-      - uses: chartboost/ruff-action@v1
+      - uses: chartboost/ruff-action@v1
+        with:
+          args: check --output-format github

docs/apilist.rst

@@ -8,7 +8,7 @@ A complete list of all functions and structures provided by rdata.
 Parse :code:`.rda` format
 ^^^^^^^^^^^^^^^^^^^^^^^^^
 Functions for parsing data in the :code:`.rda` format. These functions return a structure representing
-the contents of the file, without transforming it to more appropiate Python objects. Thus, if a different
+the contents of the file, without transforming it to more appropriate Python objects. Thus, if a different
 way of converting R objects to Python objects is needed, it can be done from this structure. 
 
 .. autosummary::
@@ -19,7 +19,7 @@ way of converting R objects to Python objects is needed, it can be done from thi
 
 Conversion of the R objects
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^
-These objects and functions convert the parsed R objects to appropiate Python objects. The Python object
+These objects and functions convert the parsed R objects to appropriate Python objects. The Python object
 corresponding to a R object is chosen to preserve most original properties, but it could change in the 
 future, if a more fitting Python object is found.
 
@@ -30,3 +30,21 @@ future, if a more fitting Python object is found.
    rdata.conversion.SimpleConverter
    rdata.conversion.convert
 
+Auxiliary structures
+^^^^^^^^^^^^^^^^^^^^
+These classes are used to represent R objects which have no clear analog in Python, so that the information
+therein can be retrieved.
+
+.. autosummary::
+   :toctree: modules
+
+   rdata.conversion.RBuiltin
+   rdata.conversion.RBytecode
+   rdata.conversion.RFunction
+   rdata.conversion.REnvironment
+   rdata.conversion.RExpression
+   rdata.conversion.RExternalPointer
+   rdata.conversion.RLanguage
+   rdata.conversion.SrcFile
+   rdata.conversion.SrcFileCopy
+   rdata.conversion.SrcRef

docs/conf.py

@@ -206,13 +206,14 @@
 # -- Options for "sphinx.ext.intersphinx" --
 
 intersphinx_mapping = {
+    "igraph": ("https://python.igraph.org/en/stable/api", None),
     "matplotlib": ("https://matplotlib.org/stable", None),
     "numpy": ("https://numpy.org/doc/stable", None),
     "pandas": ("https://pandas.pydata.org/pandas-docs/stable", None),
     "python": (f"https://docs.python.org/{sys.version_info.major}", None),
     "scipy": ("https://docs.scipy.org/doc/scipy", None),
     "sklearn": ("https://scikit-learn.org/stable", None),
-    "igraph": ("https://python.igraph.org/en/stable/api", None),
+    "xarray": ("http://xarray.pydata.org/en/stable/", None),
 }
 
 # -- Options for "sphinx.ext.todo" --

docs/conversions.rst

@@ -0,0 +1,85 @@
+Default conversions
+===================
+
+This page list the default conversions applied to R objects to convert them to
+Python objects.
+
+Basic types
+-----------
+
+The conversion of basic types is performed directly by the
+:class:`~rdata.conversion.Converter` used.
+Thus, changing the conversion for basic types currently requires creating a
+custom :class:`~rdata.conversion.Converter` class.
+The default :class:`~rdata.conversion.SimpleConverter` realizes the following
+conversions:
+
+================== ================================================================================================
+R object type      Python conversion
+================== ================================================================================================
+builtin function   :class:`rdata.conversion.RBuiltin`.
+bytecode           :class:`rdata.conversion.RBytecode`.
+char (internal)    :class:`str` or :class:`bytes` (depending on the encoding flags).
+closure            :class:`rdata.conversion.RFunction`.
+complex            :class:`numpy.ndarray` with 128-bits complex dtype.
+
+                   :class:`numpy.ma.MaskedArray` with 128-bits complex dtype if it contains NA values.
+
+                   :class:`xarray.DataArray` if it contains labeled dimensions.
+environment        :class:`rdata.conversion.REnvironment`.
+                   There are three special cases: the empty, base and global environments, which are
+                   all empty by default. The base and global environments may be supplied to the
+                   converter.
+expression         :class:`rdata.conversion.RExpression`.
+external pointer   :class:`rdata.conversion.RExternalPointer`.
+integer            :class:`numpy.ndarray` with 32-bits integer dtype.
+
+                   :class:`numpy.ma.MaskedArray` with 32-bits integer dtype if it contains NA values.
+
+                   :class:`xarray.DataArray` if it contains labeled dimensions.
+language           :class:`rdata.conversion.RLanguage`.
+list               :class:`list` (if untagged).
+
+                   :class:`dict` (if tagged). Empty lists are considered tagged.
+logical (boolean)  :class:`numpy.ndarray` with boolean dtype.
+
+                   :class:`numpy.ma.MaskedArray` with boolean dtype if it contains NA values.
+
+                   :class:`xarray.DataArray` if it contains labeled dimensions.
+missing argument   :data:`NotImplemented`.
+NULL               :data:`None`.
+real               :class:`numpy.ndarray` with 64-bits floating point dtype.
+
+                   :class:`numpy.ma.MaskedArray` with 64-bits floating point dtype if it contains NA values.
+
+                   :class:`xarray.DataArray` if it contains labeled dimensions.
+reference          The referenced value, that is, an object already converted.
+S4 object          :class:`types.SimpleNamespace`.
+special function   :class:`rdata.conversion.RBuiltin`.
+string             :class:`numpy.ndarray` with suitable fixed-length string dtype.
+symbol             :class:`str`.
+vector             :class:`list` (if untagged).
+
+                   :class:`dict` (if tagged). Empty lists are considered tagged.
+================== ================================================================================================
+
+Custom classes
+--------------
+
+In addition, objects containing a `"class"` attribute are passed to a "constructor function", if one is available.
+A dictionary of constructor functions can be supplied to the converter, where the key of each element corresponds
+to the class name.
+When the `"class"` attribute contains several class names, these are tried in order. 
+The default constructor dictionary allows to convert the following R classes:
+
+================== ================================================================================================
+R class            Python conversion
+================== ================================================================================================
+data.frame         :class:`pandas.DataFrame`.
+factor             :class:`pandas.Categorical`.
+ordered            :class:`pandas.Categorical` (with ordered categories).
+srcfile            :class:`rdata.conversion.SrcFile`.
+srcfilecopy        :class:`rdata.conversion.SrcFileCopy`.
+srcref             :class:`rdata.conversion.SrcRef`.
+ts                 :class:`pandas.Series`.
+================== ================================================================================================

docs/index.rst

@@ -33,6 +33,7 @@ Its main advantages are:
    apilist
    auto_examples/index
    Try online! <https://rdata.readthedocs.io/en/latest/lite/lab/?path=auto_examples/plot_example.ipynb>
+   conversions
    contributors
 
 The package rdata is developed `on Github <http://github.com/vnmabus/rdata>`_.

pyproject.toml

@@ -55,6 +55,7 @@ docs = [
   "sphinx-gallery",
 ]
 typing = [
+  "matplotlib>=3.8",
   "mypy",
   "pandas-stubs",
 ]

rdata/conversion/__init__.py

@@ -4,10 +4,15 @@
     Converter as Converter,
     RBuiltin as RBuiltin,
     RBytecode as RBytecode,
+    REnvironment as REnvironment,
     RExpression as RExpression,
+    RExternalPointer as RExternalPointer,
     RFunction as RFunction,
     RLanguage as RLanguage,
     SimpleConverter as SimpleConverter,
+    SrcFile as SrcFile,
+    SrcFileCopy as SrcFileCopy,
+    SrcRef as SrcRef,
     convert as convert,
     convert_array as convert_array,
     convert_attrs as convert_attrs,

rdata/conversion/_conversion.py

@@ -332,7 +332,7 @@ def convert_symbol(
     """
     if r_symbol.info.type is parser.RObjectType.SYM:
         symbol = conversion_function(r_symbol.value)
-        assert isinstance(symbol, (str, bytes))
+        assert isinstance(symbol, str)
         return symbol
 
     msg = "Must receive a SYM object"
@@ -500,6 +500,7 @@ def ts_constructor(
 
 @dataclass
 class SrcRef:
+    """Reference to a source file location."""
     first_line: int
     first_byte: int
     last_line: int
@@ -520,6 +521,7 @@ def srcref_constructor(
 
 @dataclass
 class SrcFile:
+    """Source file."""
     filename: str
     file_encoding: str | None
     string_encoding: str | None
@@ -545,13 +547,14 @@ def srcfile_constructor(
 
 @dataclass
 class SrcFileCopy(SrcFile):
+    """Source file with a copy of its lines."""
     lines: Sequence[str]
 
 
 def srcfilecopy_constructor(
     obj: REnvironment,
     attrs: Mapping[str, Any],  # noqa: ARG001
-) -> SrcFile:
+) -> SrcFileCopy:
 
     frame = obj.frame
     assert frame is not None