[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

pandas/io/formats/info.py

@@ -494,28 +494,28 @@ def non_null_counts(self) -> Series:
     def memory_usage_bytes(self) -> int:
         deep = self.memory_usage == "deep"
         return self.data.memory_usage(index=True, deep=deep).sum()
-    
+
     def to_dict(self) -> dict:
         """Return DataFrame info as a dictionary."""
         return {
-            'Column_summary': self._get_column_summary(),
-            'Memory_usage': self.memory_usage_bytes,
-            'Index_type': type(self.data.index).__name__,
-            'Index_entries': len(self.data.index),
+            "Column_summary": self._get_column_summary(),
+            "Memory_usage": self.memory_usage_bytes,
+            "Index_type": type(self.data.index).__name__,
+            "Index_entries": len(self.data.index),
         }
 
     def _get_column_summary(self) -> list[dict]:
         """Return a DataFrame summarizing columns."""
         return [
             {
-                '#': i,
-                'Column': col,
-                'Non-Null-Count': self.data[col].notna().sum(),
-                'Dtype': self.data[col].dtype
+                "#": i,
+                "Column": col,
+                "Non-Null-Count": self.data[col].notna().sum(),
+                "Dtype": self.data[col].dtype,
             }
             for i, col in enumerate(self.ids)
         ]
-    
+
     def render(
         self,
         *,

pandas/tests/frame/methods/test_info.py

@@ -570,27 +570,26 @@ def test_info_show_counts(row, columns, show_counts, result):
             df.info(buf=buf, show_counts=show_counts)
             assert ("non-null" in buf.getvalue()) is result
 
+
 @pytest.mark.parametrize(
-    "df", [
-        DataFrame({
-            'A': [1, 2, 3],
-            'B': [4, 5, 6]
-        }),
+    "df",
+    [
+        DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]}),
         DataFrame({}),
-    ]
+    ],
 )
 def test_info_return_dict(df):
     result = df.info(return_dict=True)
-    expected_keys = {'Column_summary', 'Memory_usage', 'Index_type', 'Index_entries'}
+    expected_keys = {"Column_summary", "Memory_usage", "Index_type", "Index_entries"}
     assert isinstance(result, dict)
     assert expected_keys.issubset(result.keys())
 
-    assert 'Column_summary' in result
-    assert 'Memory_usage' in result
-    assert 'Index_type' in result
-    assert 'Index_entries' in result
-    
-    assert isinstance(result['Column_summary'], list)
-    assert isinstance(result['Memory_usage'], np.int64)
-    assert isinstance(result['Index_type'], str)
-    assert isinstance(result['Index_entries'], int)
+    assert "Column_summary" in result
+    assert "Memory_usage" in result
+    assert "Index_type" in result
+    assert "Index_entries" in result
+
+    assert isinstance(result["Column_summary"], list)
+    assert isinstance(result["Memory_usage"], np.int64)
+    assert isinstance(result["Index_type"], str)
+    assert isinstance(result["Index_entries"], int)