diff --git a/python/dalex/dalex/model_explanations/_aggregated_profiles/utils.py b/python/dalex/dalex/model_explanations/_aggregated_profiles/utils.py
index 4f5e969a4..73a60d3b2 100644
--- a/python/dalex/dalex/model_explanations/_aggregated_profiles/utils.py
+++ b/python/dalex/dalex/model_explanations/_aggregated_profiles/utils.py
@@ -99,7 +99,7 @@ def split_over_variables_and_labels(split_profile, type, groups, span):
 
 
 def norm(x, loc, scale):
-    return np.exp(-((x - loc) / scale) ** 2 / 2) / np.pi / np.sqrt(2) / scale
+    return np.exp(-1 * ((x - loc) / scale) ** 2 / 2) / np.pi / np.sqrt(2) / scale
 
 
 def prepare_numerical_categorical(all_profiles, variables, variable_type):
diff --git a/python/dalex/dalex/predict_explanations/_ceteris_paribus/utils.py b/python/dalex/dalex/predict_explanations/_ceteris_paribus/utils.py
index 772bafc2c..6f9171019 100644
--- a/python/dalex/dalex/predict_explanations/_ceteris_paribus/utils.py
+++ b/python/dalex/dalex/predict_explanations/_ceteris_paribus/utils.py
@@ -73,7 +73,11 @@ def calculate_variable_profile(predict_function,
 
     profiles = pd.concat(profile)
     # convert the variable types
-    profiles.loc[:, list(variable_splits)] = profiles.loc[:, list(variable_splits)].convert_dtypes()
+    if pd.__version__ >= '1.2.0':
+        # convert_floating=False since pandas v1.2 seem to have issues
+        profiles.loc[:, list(variable_splits)] = profiles.loc[:, list(variable_splits)].convert_dtypes(convert_floating=False)
+    else:
+        profiles.loc[:, list(variable_splits)] = profiles.loc[:, list(variable_splits)].convert_dtypes()
 
     return profiles