Ensure dataframe attrs not propagated to series

Author: snowman2

pandas/io/parquet.py

@@ -178,8 +178,8 @@ def _read_attrs(table, df: DataFrame):
         pandas_metadata = json.loads(schema_metadata.get(b"pandas", "{}"))
         df.attrs = pandas_metadata.get("attrs", {})
         col_attrs = pandas_metadata.get("column_attrs", {})
-        for col, attrs in col_attrs.items():
-            df[col].attrs = attrs
+        for col in df.columns:
+            df[col].attrs = col_attrs.get(col, {})
 
     def write(
         self,

pandas/tests/io/test_parquet.py

@@ -909,23 +909,25 @@ def test_read_parquet_manager(self, pa, using_array_manager):
 
     @td.skip_if_no("pyarrow")
     def test_read_write_attrs(self, pa):
-        df = pd.DataFrame({"a": [1]})
+        df = pd.DataFrame({"a": [1], "b": [1]})
         df.attrs = {"name": "my custom dataset"}
         df.a.attrs = {
             "long_name": "Description about data",
             "nodata": -1,
             "units": "metre",
         }
+        df.b.attrs = {}
         with tm.ensure_clean() as path:
             df.to_parquet(path)
             result = read_parquet(path)
 
         assert result.attrs == {"name": "my custom dataset"}
-        assert result["a"].attrs == {
+        assert result.a.attrs == {
             "long_name": "Description about data",
             "nodata": -1,
             "units": "metre",
         }
+        assert result.b.attrs == {}
 
 
 class TestParquetFastParquet(Base):