ENH: Allow callable for on_bad_lines in read_csv when engine="python"

doc/source/user_guide/io.rst

@@ -1305,14 +1305,29 @@ You can elect to skip bad lines:
     0  1  2   3
     1  8  9  10
 
+Or pass a callable function to handle the bad line if ``engine="python"``.
+The bad line will be a list of strings that was split by the ``sep``:
+
+.. code-block:: ipython
+
+    In [30]: pd.read_csv(StringIO(data), on_bad_lines=lambda x: x[-3:], engine="python")
+    Out[30]:
+       a  b   c
+    0  1  2   3
+    1  5  6   7
+    2  8  9  10
+
+    .. versionadded:: 1.4.0
+
+
 You can also use the ``usecols`` parameter to eliminate extraneous column
 data that appear in some lines but not others:
 
 .. code-block:: ipython
 
-   In [30]: pd.read_csv(StringIO(data), usecols=[0, 1, 2])
+   In [31]: pd.read_csv(StringIO(data), usecols=[0, 1, 2])
 
-    Out[30]:
+    Out[31]:
        a  b   c
     0  1  2   3
     1  4  5   6
@@ -1324,9 +1339,9 @@ fields are filled with ``NaN``.
 
 .. code-block:: ipython
 
-   In [31]: pd.read_csv(StringIO(data), names=['a', 'b', 'c', 'd'])
+   In [32]: pd.read_csv(StringIO(data), names=['a', 'b', 'c', 'd'])
 
-   Out[31]:
+   Out[32]:
        a  b   c  d
     0  1  2   3  NaN
     1  4  5   6  7

doc/source/whatsnew/v1.4.0.rst

@@ -207,6 +207,7 @@ Other enhancements
 - :meth:`Series.str.split` now supports a ``regex`` argument that explicitly specifies whether the pattern is a regular expression. Default is ``None`` (:issue:`43563`, :issue:`32835`, :issue:`25549`)
 - :meth:`DataFrame.dropna` now accepts a single label as ``subset`` along with array-like (:issue:`41021`)
 - Added :meth:`DataFrameGroupBy.value_counts` (:issue:`43564`)
+- :meth:`read_csv` now accepts a ``callable`` function in ``on_bad_lines`` when ``engine="python"`` for custom handling of bad lines (:issue:`5686`)
 - :class:`ExcelWriter` argument ``if_sheet_exists="overlay"`` option added (:issue:`40231`)
 - :meth:`read_excel` now accepts a ``decimal`` argument that allow the user to specify the decimal point when parsing string columns to numeric (:issue:`14403`)
 - :meth:`.GroupBy.mean`, :meth:`.GroupBy.std`, :meth:`.GroupBy.var`, :meth:`.GroupBy.sum` now supports `Numba <http://numba.pydata.org/>`_ execution with the ``engine`` keyword (:issue:`43731`, :issue:`44862`, :issue:`44939`)

pandas/io/parsers/python_parser.py

@@ -197,6 +197,7 @@ class MyDialect(csv.Dialect):
                 skipinitialspace = self.skipinitialspace
                 quoting = self.quoting
                 lineterminator = "\n"
+                strict = not callable(self.on_bad_lines)
 
             dia = MyDialect
 
@@ -990,7 +991,9 @@ def _rows_to_cols(self, content: list[list[Scalar]]) -> list[np.ndarray]:
                 actual_len = len(l)
 
                 if actual_len > col_len:
-                    if (
+                    if callable(self.on_bad_lines):
+                        content.append(self.on_bad_lines(l))
+                    elif (
                         self.on_bad_lines == self.BadLineHandleMethod.ERROR
                         or self.on_bad_lines == self.BadLineHandleMethod.WARN
                     ):

pandas/io/parsers/readers.py

@@ -9,6 +9,7 @@
 from textwrap import fill
 from typing import (
     Any,
+    Callable,
     NamedTuple,
 )
 import warnings
@@ -354,7 +355,7 @@
     .. deprecated:: 1.3.0
        The ``on_bad_lines`` parameter should be used instead to specify behavior upon
        encountering a bad line instead.
-on_bad_lines : {{'error', 'warn', 'skip'}}, default 'error'
+on_bad_lines : str or callable, default 'error'
     Specifies what to do upon encountering a bad line (a line with too many fields).
     Allowed values are :
 
@@ -364,6 +365,12 @@
 
     .. versionadded:: 1.3.0
 
+        - callable, function with signature ``(bad_line: list[str]) -> list[str]``
+          that will process a single bad line. ``bad_line`` is a list of strings
+          split by the ``sep``. Only supported when ``engine="python"``
+
+    .. versionadded:: 1.4.0
+
 delim_whitespace : bool, default False
     Specifies whether or not whitespace (e.g. ``' '`` or ``'\t'``) will be
     used as the sep. Equivalent to setting ``sep='\\s+'``. If this option
@@ -1367,7 +1374,7 @@ def _refine_defaults_read(
     sep: str | object,
     error_bad_lines: bool | None,
     warn_bad_lines: bool | None,
-    on_bad_lines: str | None,
+    on_bad_lines: str | Callable | None,
     names: ArrayLike | None | object,
     prefix: str | None | object,
     defaults: dict[str, Any],
@@ -1399,7 +1406,7 @@ def _refine_defaults_read(
         Whether to error on a bad line or not.
     warn_bad_lines : str or None
         Whether to warn on a bad line or not.
-    on_bad_lines : str or None
+    on_bad_lines : str, callable or None
         An option for handling bad lines or a sentinel value(None).
     names : array-like, optional
         List of column names to use. If the file contains a header row,
@@ -1503,6 +1510,12 @@ def _refine_defaults_read(
             kwds["on_bad_lines"] = ParserBase.BadLineHandleMethod.WARN
         elif on_bad_lines == "skip":
             kwds["on_bad_lines"] = ParserBase.BadLineHandleMethod.SKIP
+        elif callable(on_bad_lines):
+            if engine != "python":
+                raise ValueError(
+                    "on_bad_line can only be a callable function if engine='python'"
+                )
+            kwds["on_bad_lines"] = on_bad_lines
         else:
             raise ValueError(f"Argument {on_bad_lines} is invalid for on_bad_lines")
     else:

pandas/tests/io/parser/test_python_parser_only.py

@@ -329,3 +329,62 @@ def readline(self):
             return self.data
 
     parser.read_csv(NoNextBuffer("a\n1"))
+
+
+@pytest.mark.parametrize("bad_line_func", [lambda x: ["2", "3"], lambda x: x[:2]])
+def test_on_bad_lines_callable(python_parser_only, bad_line_func):
+    # GH 5686
+    parser = python_parser_only
+    bad_sio = StringIO("a,b\n1,2\n2,3,4,5,6\n3,4")
+    result = parser.read_csv(bad_sio, on_bad_lines=bad_line_func)
+    expected = DataFrame({"a": [1, 2, 3], "b": [2, 3, 4]})
+    tm.assert_frame_equal(result, expected)
+
+
+def test_on_bad_lines_callable_write_to_external_list(python_parser_only):
+    # GH 5686
+    parser = python_parser_only
+    bad_sio = StringIO("a,b\n1,2\n2,3,4,5,6\n3,4")
+    lst = []
+
+    def bad_line_func(bad_line):
+        lst.append(bad_line)
+        return ["2", "3"]
+
+    result = parser.read_csv(bad_sio, on_bad_lines=bad_line_func)
+    expected = DataFrame({"a": [1, 2, 3], "b": [2, 3, 4]})
+    tm.assert_frame_equal(result, expected)
+    assert lst == [["2", "3", "4", "5", "6"]]
+
+
+@pytest.mark.parametrize("bad_line_func", [lambda x: ["foo", "bar"], lambda x: x[:2]])
+@pytest.mark.parametrize("sep", [",", "111"])
+def test_on_bad_lines_callable_iterator_true(python_parser_only, bad_line_func, sep):
+    # GH 5686
+    # iterator=True has a separate code path than iterator=False
+    parser = python_parser_only
+    bad_sio = StringIO(f"0{sep}1\nhi{sep}there\nfoo{sep}bar{sep}baz\ngood{sep}bye")
+    result_iter = parser.read_csv(
+        bad_sio, on_bad_lines=bad_line_func, chunksize=1, iterator=True, sep=sep
+    )
+    expecteds = [
+        {"0": "hi", "1": "there"},
+        {"0": "foo", "1": "bar"},
+        {"0": "good", "1": "bye"},
+    ]
+    for i, (result, expected) in enumerate(zip(result_iter, expecteds)):
+        expected = DataFrame(expected, index=range(i, i + 1))
+        tm.assert_frame_equal(result, expected)
+
+
+def test_on_bad_lines_callable_dont_swallow_errors(python_parser_only):
+    # GH 5686
+    parser = python_parser_only
+    bad_sio = StringIO("a,b\n1,2\n2,3,4,5,6\n3,4")
+    msg = "This function is buggy."
+
+    def bad_line_func(bad_line):
+        raise ValueError(msg)
+
+    with pytest.raises(ValueError, match=msg):
+        parser.read_csv(bad_sio, on_bad_lines=bad_line_func)

pandas/tests/io/parser/test_unsupported.py

@@ -149,3 +149,15 @@ def test_pyarrow_engine(self):
                 kwargs[default] = "warn"
             with pytest.raises(ValueError, match=msg):
                 read_csv(StringIO(data), engine="pyarrow", **kwargs)
+
+    def test_on_bad_lines_callable_python_only(self, all_parsers):
+        # GH 5686
+        sio = StringIO("a,b\n1,2")
+        bad_lines_func = lambda x: x
+        parser = all_parsers
+        if all_parsers.engine != "python":
+            msg = "on_bad_line can only be a callable function if engine='python'"
+            with pytest.raises(ValueError, match=msg):
+                parser.read_csv(sio, on_bad_lines=bad_lines_func)
+        else:
+            parser.read_csv(sio, on_bad_lines=bad_lines_func)