BUG: Add type check for encoding_errors in pd.read_csv

doc/source/whatsnew/v3.0.0.rst

@@ -554,6 +554,7 @@ I/O
 - Bug in :meth:`DataFrame.to_stata` when writing :class:`DataFrame` and ``byteorder=`big```. (:issue:`58969`)
 - Bug in :meth:`DataFrame.to_string` that raised ``StopIteration`` with nested DataFrames. (:issue:`16098`)
 - Bug in :meth:`HDFStore.get` was failing to save data of dtype datetime64[s] correctly (:issue:`59004`)
+- Bug in :meth:`read_csv` causing segmentation fault when ``encoding_errors`` is not a string or None. (:issue:`59059`)
 - Bug in :meth:`read_csv` raising ``TypeError`` when ``index_col`` is specified and ``na_values`` is a dict containing the key ``None``. (:issue:`57547`)
 - Bug in :meth:`read_csv` raising ``TypeError`` when ``nrows`` and ``iterator`` are specified without specifying a ``chunksize``. (:issue:`59079`)
 - Bug in :meth:`read_stata` raising ``KeyError`` when input file is stored in big-endian format and contains strL data. (:issue:`58638`)

pandas/io/parsers/readers.py

@@ -674,6 +674,14 @@ def _read(
     # Extract some of the arguments (pass chunksize on).
     iterator = kwds.get("iterator", False)
     chunksize = kwds.get("chunksize", None)
+
+    # Check type of encoding_errors
+    errors = kwds.get("encoding_errors", "strict")
+    if not isinstance(errors, str) and errors is not None:
+        raise ValueError(
+            f"encoding_errors must be a string or None, got {type(errors).__name__}"
+        )
+
     if kwds.get("engine") == "pyarrow":
         if iterator:
             raise ValueError(
@@ -1413,6 +1421,7 @@ def _make_engine(
             raise ValueError(
                 f"Unknown engine: {engine} (valid options are {mapping.keys()})"
             )
+
         if not isinstance(f, list):
             # open file here
             is_text = True