Backport PR #43447 on branch 1.3.x (REGR: SpooledTemporaryFile support in read_csv)

doc/source/whatsnew/v1.3.3.rst

@@ -29,6 +29,7 @@ Fixed regressions
 - Fixed regression in :meth:`DataFrame.corr` where Kendall correlation would produce incorrect results for columns with repeated values (:issue:`43401`)
 - Fixed regression in :meth:`DataFrame.groupby` where aggregation on columns with object types dropped results on those columns (:issue:`42395`, :issue:`43108`)
 - Fixed regression in :meth:`Series.fillna` raising ``TypeError`` when filling ``float`` ``Series`` with list-like fill value having a dtype which couldn't cast lostlessly (like ``float32`` filled with ``float64``) (:issue:`43424`)
+- Fixed regression in :func:`read_csv` throwing an ``AttributeError`` when the file handle is an ``tempfile.SpooledTemporaryFile`` object (:issue:`43439`)
 -
 
 .. ---------------------------------------------------------------------------

pandas/io/common.py

@@ -15,6 +15,7 @@
 )
 import mmap
 import os
+import tempfile
 from typing import (
     IO,
     Any,
@@ -943,8 +944,15 @@ def _is_binary_mode(handle: FilePathOrBuffer, mode: str) -> bool:
     if "t" in mode or "b" in mode:
         return "b" in mode
 
-    # classes that expect string but have 'b' in mode
-    text_classes = (codecs.StreamWriter, codecs.StreamReader, codecs.StreamReaderWriter)
+    # exceptions
+    text_classes = (
+        # classes that expect string but have 'b' in mode
+        codecs.StreamWriter,
+        codecs.StreamReader,
+        codecs.StreamReaderWriter,
+        # cannot be wrapped in TextIOWrapper GH43439
+        tempfile.SpooledTemporaryFile,
+    )
     if issubclass(type(handle), text_classes):
         return False
 

pandas/tests/io/parser/test_encoding.py

@@ -237,3 +237,16 @@ def test_encoding_memory_map(all_parsers, encoding):
         expected.to_csv(file, index=False, encoding=encoding)
         df = parser.read_csv(file, encoding=encoding, memory_map=True)
     tm.assert_frame_equal(df, expected)
+
+
+def test_not_readable(all_parsers):
+    # GH43439
+    parser = all_parsers
+    if parser.engine in ("python", "pyarrow"):
+        pytest.skip("SpooledTemporaryFile does only work with the c-engine")
+    with tempfile.SpooledTemporaryFile() as handle:
+        handle.write(b"abcd")
+        handle.seek(0)
+        df = parser.read_csv(handle)
+    expected = DataFrame([], columns=["abcd"])
+    tm.assert_frame_equal(df, expected)