BUG: Fix ValueError in Series.info(show_counts=False)

pandas/io/formats/info.py

@@ -1096,7 +1096,7 @@ def headers(self) -> Sequence[str]:
 
     def _gen_rows_without_counts(self) -> Iterator[Sequence[str]]:
         """Iterator with string representation of body data without counts."""
-        yield from self._gen_dtypes()
+        yield from ([dtype] for dtype in self._gen_dtypes())
 
     def _gen_rows_with_counts(self) -> Iterator[Sequence[str]]:
         """Iterator with string representation of body data with counts."""

pandas/tests/frame/test_query_eval.py

@@ -160,21 +160,13 @@ def test_query_empty_string(self):
             df.query("")
 
     def test_query_duplicate_column_name(self, engine, parser):
-        df = DataFrame(
-            {
-                "A": range(3),
-                "B": range(3),
-                "C": range(3)
-            }
-        ).rename(columns={"B": "A"})
+        df = DataFrame({"A": range(3), "B": range(3), "C": range(3)}).rename(
+            columns={"B": "A"}
+        )
 
         res = df.query("C == 1", engine=engine, parser=parser)
 
-        expect = DataFrame(
-            [[1, 1, 1]],
-            columns=["A", "A", "C"],
-            index=[1]
-        )
+        expect = DataFrame([[1, 1, 1]], columns=["A", "A", "C"], index=[1])
 
         tm.assert_frame_equal(res, expect)
 
@@ -1140,9 +1132,7 @@ def test_query_with_nested_special_character(self, parser, engine):
             [">=", operator.ge],
         ],
     )
-    def test_query_lex_compare_strings(
-        self, parser, engine, op, func
-    ):
+    def test_query_lex_compare_strings(self, parser, engine, op, func):
         a = Series(np.random.default_rng(2).choice(list("abcde"), 20))
         b = Series(np.arange(a.size))
         df = DataFrame({"X": a, "Y": b})

pandas/tests/series/methods/test_info.py

@@ -190,3 +190,23 @@ def test_info_memory_usage_bug_on_multiindex():
     # high upper bound
     diff = unstacked.memory_usage(deep=True).sum() - s.memory_usage(deep=True)
     assert diff < 2000
+
+
+def test_info_show_counts_false():
+    s = Series([1])
+    buf = StringIO()
+    s.info(buf=buf, show_counts=False)
+    result = buf.getvalue()
+    memory_bytes = float(s.memory_usage())
+    expected = textwrap.dedent(
+        f"""\
+    <class 'pandas.Series'>
+    RangeIndex: 1 entries, 0 to 0
+    Series name: None
+    Dtype
+    -----
+    int64
+    dtypes: int64(1)
+    memory usage: {memory_bytes} bytes"""
+    )
+    assert result.strip() == expected.strip()