Test for pd.to_sql column error if data contains -np.inf

doc/source/whatsnew/v1.1.0.rst

@@ -901,6 +901,7 @@ I/O
 - Bug in :meth:`~DataFrame.read_feather` was raising an `ArrowIOError` when reading an s3 or http file path (:issue:`29055`)
 - Bug in :meth:`~DataFrame.to_excel` could not handle the column name `render` and was raising an ``KeyError`` (:issue:`34331`)
 - Bug in :meth:`~SQLDatabase.execute` was raising a ``ProgrammingError`` for some DB-API drivers when the SQL statement contained the `%` character and no parameters were present (:issue:`34211`)
+- Bug in :meth: in earlier versions `pd.to_sql` was raising an error when reading DataFrames with `-np.inf` entries; added test (:issue: `34431`)
 
 Plotting
 ^^^^^^^^

pandas/tests/io/test_sql.py

@@ -564,6 +564,13 @@ class DummyException(Exception):
         res2 = self.pandasSQL.read_query("SELECT * FROM test_trans")
         assert len(res2) == 1
 
+    def _to_sql_with_negative_npinf(self):
+        engine = sqlalchemy.create_engine("sqlite://", echo=False)
+
+        pd.DataFrame({"foo": [np.inf]}).to_sql("foobar1", engine)
+        pd.DataFrame({"foo": [-np.inf]}).to_sql("foobar2", engine)
+        pd.DataFrame({"foo": [-np.inf], "infe0": ["bar"]}).to_sql("foobar3", engine)
+
 
 # -----------------------------------------------------------------------------
 # -- Testing the public API