# Get the Products entity set and its entity type

entity_sets = client.entity_sets
products_entity_set=""
scalar_properties = set()
for es in client.schema.entity_sets:
        if es.name == "Reviews":
            proprties = es.entity_type.proprties()

            for prop in proprties:
                if prop.name == 'ProductId' or prop.name ==  'Rating' or prop.name == 'HelpfulCount':
                    scalar_properties.add(prop.name)
print(scalar_properties)
reviews = client.entity_sets.Reviews.get_entities().execute()

# Create an empty list to store the dictionaries for each reviews
review_list = []

# Loop through each review entity and create a dictionary
for review in reviews:
    review_dict = {}
    for property_name in scalar_properties:
        review_dict[property_name] = getattr(review, property_name)
    review_list.append(review_dict)

# Convert the list of dictionaries to a pandas DataFrame
df = pd.DataFrame(review_list)
df=df.sort_index()
df2= df.groupby('ProductId').sum()


print(df2)

Cuando ejecuta el programa, obtiene el resultado que se muestra a continuación