Fix for issue 62001

Author: wilocu

doc/source/whatsnew/v3.0.0.rst

@@ -48,6 +48,7 @@ Other enhancements
 - Allow dictionaries to be passed to :meth:`pandas.Series.str.replace` via ``pat`` parameter (:issue:`51748`)
 - Support passing a :class:`Series` input to :func:`json_normalize` that retains the :class:`Series` :class:`Index` (:issue:`51452`)
 - Support reading value labels from Stata 108-format (Stata 6) and earlier files (:issue:`58154`)
+- Enhanced :func:`import_optional_dependency` with context-aware error messages that suggest relevant alternatives when dependencies are missing (:issue:`62001`)
 - Users can globally disable any ``PerformanceWarning`` by setting the option ``mode.performance_warnings`` to ``False`` (:issue:`56920`)
 - :meth:`Styler.format_index_names` can now be used to format the index and column names (:issue:`48936` and :issue:`47489`)
 - :class:`.errors.DtypeWarning` improved to include column names when mixed data types are detected (:issue:`58174`)

pandas/compat/_optional.py

@@ -72,6 +72,119 @@
     "tables": "pytables",
 }
 
+# Mapping of operation contexts to alternative dependencies
+OPERATION_CONTEXTS = {
+    "excel": {
+        "alternatives": ["openpyxl", "xlsxwriter", "calamine", "xlrd", "pyxlsb", "odfpy"],
+        "description": "Excel file operations",
+    },
+    "plotting": {
+        "alternatives": ["matplotlib"],
+        "description": "plotting operations",
+        "fallback": "Use df.describe() for text-based data summaries",
+    },
+    "html": {
+        "alternatives": ["lxml", "html5lib", "beautifulsoup4"],
+        "description": "HTML parsing",
+    },
+    "xml": {
+        "alternatives": ["lxml"],
+        "description": "XML parsing", 
+    },
+    "sql": {
+        "alternatives": ["sqlalchemy", "psycopg2", "pymysql"],
+        "description": "SQL database operations",
+    },
+    "performance": {
+        "alternatives": ["numexpr", "bottleneck", "numba"],
+        "description": "performance acceleration",
+        "fallback": "Operations will use standard implementations",
+    },
+    "parquet": {
+        "alternatives": ["pyarrow", "fastparquet"],
+        "description": "Parquet file operations",
+    },
+    "feather": {
+        "alternatives": ["pyarrow"],
+        "description": "Feather file operations",
+    },
+    "orc": {
+        "alternatives": ["pyarrow"],
+        "description": "ORC file operations",
+    },
+    "hdf5": {
+        "alternatives": ["tables"],
+        "description": "HDF5 file operations",
+    },
+    "spss": {
+        "alternatives": ["pyreadstat"],
+        "description": "SPSS file operations",
+    },
+    "style": {
+        "alternatives": ["jinja2"],
+        "description": "DataFrame styling operations",
+    },
+    "compression": {
+        "alternatives": ["zstandard"],
+        "description": "data compression operations",
+    },
+    "clipboard": {
+        "alternatives": ["pyqt5", "qtpy"],
+        "description": "clipboard operations",
+    },
+}
+
+
+def _build_context_message(
+    name: str, operation_context: str | None, extra: str, install_name: str
+) -> str:
+    """
+    Build an enhanced error message with context-aware alternatives.
+    
+    Parameters
+    ----------
+    name : str
+        The module name that failed to import.
+    operation_context : str or None
+        The operation context (e.g., 'excel', 'plotting').
+    extra : str
+        Additional text to include in the ImportError message.
+    install_name : str
+        The package name to install.
+        
+    Returns
+    -------
+    str
+        The enhanced error message.
+    """
+    base_msg = f"Missing optional dependency '{install_name}'."
+    if extra:
+        base_msg += f" {extra}"
+    
+    if operation_context and operation_context in OPERATION_CONTEXTS:
+        context_info = OPERATION_CONTEXTS[operation_context]
+        # Filter out the failed dependency from alternatives
+        alternatives = [
+            alt for alt in context_info["alternatives"] 
+            if alt != name and alt != install_name
+        ]
+        
+        if alternatives:
+            if len(alternatives) == 1:
+                alt_msg = f" For {context_info['description']}, try installing {alternatives[0]}."
+            elif len(alternatives) == 2:
+                alt_msg = f" For {context_info['description']}, try installing {alternatives[0]} or {alternatives[1]}."
+            else:
+                alt_list = ", ".join(alternatives[:-1]) + f", or {alternatives[-1]}"
+                alt_msg = f" For {context_info['description']}, try installing {alt_list}."
+            base_msg += alt_msg
+            
+        if "fallback" in context_info:
+            base_msg += f" {context_info['fallback']}."
+    
+    base_msg += f" Use pip or conda to install {install_name}."
+    return base_msg
+
 
 def get_version(module: types.ModuleType) -> str:
     version = getattr(module, "__version__", None)
@@ -91,6 +204,7 @@ def import_optional_dependency(
     min_version: str | None = ...,
     *,
     errors: Literal["raise"] = ...,
+    operation_context: str | None = ...,
 ) -> types.ModuleType: ...
 
 
@@ -101,6 +215,7 @@ def import_optional_dependency(
     min_version: str | None = ...,
     *,
     errors: Literal["warn", "ignore"],
+    operation_context: str | None = ...,
 ) -> types.ModuleType | None: ...
 
 
@@ -110,6 +225,7 @@ def import_optional_dependency(
     min_version: str | None = None,
     *,
     errors: Literal["raise", "warn", "ignore"] = "raise",
+    operation_context: str | None = None,
 ) -> types.ModuleType | None:
     """
     Import an optional dependency.
@@ -137,6 +253,11 @@ def import_optional_dependency(
     min_version : str, default None
         Specify a minimum version that is different from the global pandas
         minimum version required.
+    operation_context : str, default None
+        Provide context about the operation requiring this dependency to show
+        relevant alternatives in error messages. Supported contexts: 'excel',
+        'plotting', 'html', 'xml', 'sql', 'performance', 'parquet', 'feather', 
+        'orc', 'hdf5', 'spss', 'style', 'compression', 'clipboard'.
     Returns
     -------
     maybe_module : Optional[ModuleType]
@@ -150,10 +271,7 @@ def import_optional_dependency(
     package_name = INSTALL_MAPPING.get(name)
     install_name = package_name if package_name is not None else name
 
-    msg = (
-        f"`Import {install_name}` failed. {extra} "
-        f"Use pip or conda to install the {install_name} package."
-    )
+    msg = _build_context_message(name, operation_context, extra, install_name)
     try:
         module = importlib.import_module(name)
     except ImportError as err:

pandas/io/excel/_calamine.py

@@ -56,7 +56,7 @@ def __init__(
         engine_kwargs : dict, optional
             Arbitrary keyword arguments passed to excel engine.
         """
-        import_optional_dependency("python_calamine")
+        import_optional_dependency("python_calamine", operation_context="excel")
         super().__init__(
             filepath_or_buffer,
             storage_options=storage_options,

pandas/io/excel/_odfreader.py

@@ -46,7 +46,7 @@ def __init__(
         engine_kwargs : dict, optional
             Arbitrary keyword arguments passed to excel engine.
         """
-        import_optional_dependency("odf")
+        import_optional_dependency("odf", operation_context="excel")
         super().__init__(
             filepath_or_buffer,
             storage_options=storage_options,

pandas/io/excel/_openpyxl.py

@@ -550,7 +550,7 @@ def __init__(
         engine_kwargs : dict, optional
             Arbitrary keyword arguments passed to excel engine.
         """
-        import_optional_dependency("openpyxl")
+        import_optional_dependency("openpyxl", operation_context="excel")
         super().__init__(
             filepath_or_buffer,
             storage_options=storage_options,

pandas/io/excel/_pyxlsb.py

@@ -40,7 +40,7 @@ def __init__(
         engine_kwargs : dict, optional
             Arbitrary keyword arguments passed to excel engine.
         """
-        import_optional_dependency("pyxlsb")
+        import_optional_dependency("pyxlsb", operation_context="excel")
         # This will call load_workbook on the filepath or buffer
         # And set the result to the book-attribute
         super().__init__(

pandas/io/excel/_xlrd.py

@@ -42,7 +42,7 @@ def __init__(
             Arbitrary keyword arguments passed to excel engine.
         """
         err_msg = "Install xlrd >= 2.0.1 for xls Excel support"
-        import_optional_dependency("xlrd", extra=err_msg)
+        import_optional_dependency("xlrd", extra=err_msg, operation_context="excel")
         super().__init__(
             filepath_or_buffer,
             storage_options=storage_options,

pandas/io/html.py

@@ -913,10 +913,10 @@ def _parser_dispatch(flavor: HTMLFlavors | None) -> type[_HtmlFrameParser]:
         )
 
     if flavor in ("bs4", "html5lib"):
-        import_optional_dependency("html5lib")
-        import_optional_dependency("bs4")
+        import_optional_dependency("html5lib", operation_context="html")
+        import_optional_dependency("bs4", operation_context="html")
     else:
-        import_optional_dependency("lxml.etree")
+        import_optional_dependency("lxml.etree", operation_context="html")
     return _valid_parsers[flavor]
 
 

pandas/plotting/_core.py

@@ -13,6 +13,8 @@
     Substitution,
 )
 
+from pandas.compat._optional import import_optional_dependency
+
 from pandas.core.dtypes.common import (
     is_integer,
     is_list_like,
@@ -1947,15 +1949,13 @@ def _load_backend(backend: str) -> types.ModuleType:
     from importlib.metadata import entry_points
 
     if backend == "matplotlib":
-        # Because matplotlib is an optional dependency and first-party backend,
-        # we need to attempt an import here to raise an ImportError if needed.
-        try:
-            module = importlib.import_module("pandas.plotting._matplotlib")
-        except ImportError:
-            raise ImportError(
-                "matplotlib is required for plotting when the "
-                'default backend "matplotlib" is selected.'
-            ) from None
+        # Check for matplotlib dependency with enhanced error message
+        import_optional_dependency(
+            "matplotlib", 
+            extra="Required for plotting when the default backend 'matplotlib' is selected.",
+            operation_context="plotting"
+        )
+        module = importlib.import_module("pandas.plotting._matplotlib")
         return module
 
     found_backend = False

pandas/tests/test_optional_dependency.py

@@ -12,7 +12,7 @@
 
 
 def test_import_optional():
-    match = "Import .*notapackage.* pip .* conda .* notapackage"
+    match = r"Missing optional dependency 'notapackage'.*Use pip or conda to install notapackage"
     with pytest.raises(ImportError, match=match) as exc_info:
         import_optional_dependency("notapackage")
     # The original exception should be there as context:
@@ -65,6 +65,69 @@ def test_bad_version(monkeypatch):
     assert result is None
 
 
+def test_operation_context_excel():
+    match = (
+        r"Missing optional dependency 'notapackage'.*"
+        r"For Excel file operations, try installing openpyxl, xlsxwriter, calamine.*"
+        r".*Use pip or conda to install notapackage"
+    )
+    with pytest.raises(ImportError, match=match):
+        import_optional_dependency("notapackage", operation_context="excel")
+
+
+def test_operation_context_plotting():
+    match = (
+        r"Missing optional dependency 'notapackage'.*"
+        r"For plotting operations, try installing matplotlib.*"
+        r"Use df\.describe\(\) for text-based data summaries.*"
+        r"Use pip or conda to install notapackage"
+    )
+    with pytest.raises(ImportError, match=match):
+        import_optional_dependency("notapackage", operation_context="plotting")
+
+
+def test_operation_context_with_extra():
+    match = (
+        r"Missing optional dependency 'notapackage'.*Additional context.*"
+        r"For Excel file operations, try installing openpyxl, xlsxwriter, calamine.*"
+        r".*Use pip or conda to install notapackage"
+    )
+    with pytest.raises(ImportError, match=match):
+        import_optional_dependency(
+            "notapackage", 
+            extra="Additional context.", 
+            operation_context="excel"
+        )
+
+
+def test_operation_context_unknown():
+    # Unknown context should fall back to standard behavior
+    match = r"Missing optional dependency 'notapackage'.*Use pip or conda to install notapackage"
+    with pytest.raises(ImportError, match=match):
+        import_optional_dependency("notapackage", operation_context="unknown_context")
+
+
+def test_operation_context_filtering():
+    # The failed dependency should be filtered out from alternatives
+    match = (
+        r"Missing optional dependency 'openpyxl'.*"
+        r"For Excel file operations, try installing xlsxwriter, calamine.*"
+        r".*Use pip or conda to install openpyxl"
+    )
+    with pytest.raises(ImportError, match=match):
+        import_optional_dependency("openpyxl", operation_context="excel")
+
+
+def test_operation_context_ignore_errors():
+    # operation_context should not affect ignore behavior
+    result = import_optional_dependency(
+        "notapackage", 
+        operation_context="excel", 
+        errors="ignore"
+    )
+    assert result is None
+
+
 def test_submodule(monkeypatch):
     # Create a fake module with a submodule
     name = "fakemodule"