fix(linting): code formatting

src/ydata_profiling/expectations_report.py

@@ -79,9 +79,7 @@ def to_expectation_suite(
         if not data_context:
             data_context = ge.data_context.DataContext()
 
-        suite = data_context.add_expectation_suite(
-            suite_name
-        )
+        suite = data_context.add_expectation_suite(suite_name)
 
         # Instantiate an in-memory pandas dataset
         batch = ge.dataset.PandasDataset(self.df, expectation_suite=suite)

src/ydata_profiling/utils/logger.py

@@ -10,10 +10,10 @@
 
 
 class ProfilingLogger(logging.Logger):
-    def __init__(self, name: str, level: int =logging.INFO):
+    def __init__(self, name: str, level: int = logging.INFO):
         super().__init__(name, level)
 
-    def info_def_report(self, dataframe, timeseries: bool) -> None: # type: ignore
+    def info_def_report(self, dataframe, timeseries: bool) -> None:  # type: ignore
         if dataframe is pd.DataFrame:
             dataframe = "pandas"
             report_type = "regular"

src/ydata_profiling/visualisation/plot.py

@@ -839,7 +839,11 @@ def _prepare_heatmap_data(
     )
 
     df = df.groupby([entity_column, "__bins"])[sortbykey].count()
-    df = df.reset_index().pivot_table(values=sortbykey, index="__bins", columns=entity_column).T
+    df = (
+        df.reset_index()
+        .pivot_table(values=sortbykey, index="__bins", columns=entity_column)
+        .T
+    )
 
     if selected_entities:
         df = df[selected_entities]

tests/unit/test_ge_integration.py

@@ -92,9 +92,7 @@ def test_to_expectations_suite_title(context, df):
         run_validation=False,
     )
 
-    context.add_expectation_suite.assert_called_once_with(
-        "expectations-dataset"
-    )
+    context.add_expectation_suite.assert_called_once_with("expectations-dataset")
 
 
 def test_to_expectation_suite_no_context(mod, df):

tests/unit/test_plot.py

@@ -97,4 +97,3 @@ def test_timeseries_heatmap(dataframe: pd.DataFrame):
     df = _prepare_heatmap_data(dataframe, "entity")
     plot = _create_timeseries_heatmap(df)
     assert isinstance(plot, Axes)
-