diff --git a/superset/result_set.py b/superset/result_set.py
index 170de1869c830..1c4ae98dc9112 100644
--- a/superset/result_set.py
+++ b/superset/result_set.py
@@ -70,14 +70,14 @@ def stringify_values(array: NDArray[Any]) -> NDArray[Any]:
         for obj in it:
             if na_obj := pd.isna(obj):
                 # pandas <NA> type cannot be converted to string
-                obj[na_obj] = None
+                obj[na_obj] = None  # type: ignore
             else:
                 try:
                     # for simple string conversions
                     # this handles odd character types better
-                    obj[...] = obj.astype(str)
+                    obj[...] = obj.astype(str)  # type: ignore
                 except ValueError:
-                    obj[...] = stringify(obj)
+                    obj[...] = stringify(obj)  # type: ignore
 
     return result
 
diff --git a/superset/utils/pandas_postprocessing/boxplot.py b/superset/utils/pandas_postprocessing/boxplot.py
index e2706345b1ea9..d4c78bf15e8c8 100644
--- a/superset/utils/pandas_postprocessing/boxplot.py
+++ b/superset/utils/pandas_postprocessing/boxplot.py
@@ -57,10 +57,10 @@ def boxplot(
     """
 
     def quartile1(series: Series) -> float:
-        return np.nanpercentile(series, 25, interpolation="midpoint")
+        return np.nanpercentile(series, 25, method="midpoint")
 
     def quartile3(series: Series) -> float:
-        return np.nanpercentile(series, 75, interpolation="midpoint")
+        return np.nanpercentile(series, 75, method="midpoint")
 
     if whisker_type == PostProcessingBoxplotWhiskerType.TUKEY:
 
@@ -99,8 +99,8 @@ def whisker_low(series: Series) -> float:
             return np.nanpercentile(series, low)
 
     else:
-        whisker_high = np.max
-        whisker_low = np.min
+        whisker_high = np.max  # type: ignore
+        whisker_low = np.min  # type: ignore
 
     def outliers(series: Series) -> Set[float]:
         above = series[series > whisker_high(series)]
diff --git a/superset/utils/pandas_postprocessing/flatten.py b/superset/utils/pandas_postprocessing/flatten.py
index db783c4bed264..1026164e454ee 100644
--- a/superset/utils/pandas_postprocessing/flatten.py
+++ b/superset/utils/pandas_postprocessing/flatten.py
@@ -85,7 +85,7 @@ def flatten(
         _columns = []
         for series in df.columns.to_flat_index():
             _cells = []
-            for cell in series if is_sequence(series) else [series]:
+            for cell in series if is_sequence(series) else [series]:  # type: ignore
                 if pd.notnull(cell):
                     # every cell should be converted to string and escape comma
                     _cells.append(escape_separator(str(cell)))
diff --git a/tests/integration_tests/result_set_tests.py b/tests/integration_tests/result_set_tests.py
index 626468fc5aae0..18135c486dbea 100644
--- a/tests/integration_tests/result_set_tests.py
+++ b/tests/integration_tests/result_set_tests.py
@@ -169,13 +169,13 @@ def test_nested_types(self):
                     "id": 4,
                     "dict_arr": '[{"table_name": "unicode_test", "database_id": 1}]',
                     "num_arr": "[1, 2, 3]",
-                    "map_col": '{"chart_name": "scatter"}',
+                    "map_col": "{'chart_name': 'scatter'}",
                 },
                 {
                     "id": 3,
                     "dict_arr": '[{"table_name": "birth_names", "database_id": 1}]',
                     "num_arr": "[4, 5, 6]",
-                    "map_col": '{"chart_name": "plot"}',
+                    "map_col": "{'chart_name': 'plot'}",
                 },
             ],
         )