diff --git a/cellveyor/data.py b/cellveyor/data.py
index f61dcdd..12090cf 100644
--- a/cellveyor/data.py
+++ b/cellveyor/data.py
@@ -16,6 +16,7 @@ def access_dataframes(spreadsheet_file: Path) -> Dict[str, pandas.DataFrame]:
     name_to_dataframe_dict = pandas.read_excel(spreadsheet_file, sheet_name=None)
     return name_to_dataframe_dict
 
+
 def key_attribute_column_filter(
     sheet_dataframe: pandas.DataFrame,
     key_attribute_name: str,
diff --git a/tests/test_data.py b/tests/test_data.py
index 7abee50..356ce42 100644
--- a/tests/test_data.py
+++ b/tests/test_data.py
@@ -10,24 +10,24 @@
 def test_access_dataframes() -> None:
     spreadsheet_file_one = Path("spreadsheets/fake_spreadsheet.xlsx")
     spreadsheet_file_two = Path("spreadsheets/example_spreadsheet.xlsx")
-    test_one= data.access_dataframes(spreadsheet_file_one)
+    test_one = data.access_dataframes(spreadsheet_file_one)
     test_two = data.access_dataframes(spreadsheet_file_two)
     assert test_one != test_two
 
-    
-def test_key_attribute_column_filter() -> None: 
-        # Test key_attribute_column_filter function
-        dataframes_dict = data.access_dataframes(Path("spreadsheets/fake_spreadsheet.xlsx"))
-        sheet1_dataframe = dataframes_dict['Main']
-
-        # Test filtering with a key attribute and columns regex
-        key_attribute_name = "Student GitHub"
-        column_regexp = "^(Summary Grade|Final Grade) .*$"
-        key_attribute_value = "gkapfham"
-        selected_columns, result_df = data.key_attribute_column_filter(
-            sheet1_dataframe, key_attribute_name, column_regexp, key_attribute_value
-        )
-
-        assert(('Summary Grade for Team Participation')in selected_columns.columns)
-        assert(('Student GitHub') in result_df.columns)
-        assert key_attribute_value in result_df['Student GitHub'].values
+
+def test_key_attribute_column_filter() -> None:
+    # Test key_attribute_column_filter function
+    dataframes_dict = data.access_dataframes(Path("spreadsheets/fake_spreadsheet.xlsx"))
+    sheet1_dataframe = dataframes_dict["Main"]
+
+    # Test filtering with a key attribute and columns regex
+    key_attribute_name = "Student GitHub"
+    column_regexp = "^(Summary Grade|Final Grade) .*$"
+    key_attribute_value = "gkapfham"
+    selected_columns, result_df = data.key_attribute_column_filter(
+        sheet1_dataframe, key_attribute_name, column_regexp, key_attribute_value
+    )
+
+    assert ("Summary Grade for Team Participation") in selected_columns.columns
+    assert ("Student GitHub") in result_df.columns
+    assert key_attribute_value in result_df["Student GitHub"].values