ObjectNotExecutableError: Not an executable object: "SELECT COUNT(*) AS men_over_30\nFROM real_data\nWHERE Sex = 'male' AND Age > 30"

SELECT COUNT(*) AS men_over_30
FROM real_data
WHERE Sex = 'male' AND Age > 30

pandas==1.5.3
pandas-datareader==0.10.0
pandas-gbq==0.17.9
pandasql==0.7.3

# Main dataset to show datasloth capabilities
titanic = sns.load_dataset('titanic')
titanic.head()
titanic.sloth.description = 'Verbose description of the table'
sloth.query("Number of men which survived the titanic", show_query=True)

Output exceeds the [size limit](command:workbench.action.openSettings?[). Open the full output data [in a text editor](command:workbench.action.openLargeOutput?5c05cb7d-1b4d-48ee-8e94-e8afceb177c6)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-12-b1e190aa764c> in <module>
      5 titanic.head()
      6 titanic.sloth.description = 'Verbose description of the table'
----> 7 sloth.query("Number of men which survived the titanic", show_query=True)

~/.local/lib/python3.6/site-packages/datasloth/__init__.py in query(self, query, env, show_query)
    118         env = env or get_outer_frame_variables()
    119         query = query[0].lower() + query[1:]
--> 120         prompt = self.dataframes_summary(env)
    121         if not prompt:
    122             print('No dataframes found')

~/.local/lib/python3.6/site-packages/datasloth/__init__.py in dataframes_summary(env, ignore)
    102                 summary_lines += [
    103                     f"\n\nTable name: {name}",
--> 104                     value.sloth.description
    105                 ]
    106                 table_count += 1

~/.local/lib/python3.6/site-packages/datasloth/__init__.py in description(self)
     27     @property
     28     def description(self) -> str:
---> 29         return self._description.format(COLUMNS_SUMMARY=self.columns_summary())
...
--> 200     if is_string_dtype(col) or col.dtype == 'category':
    201         unique = col.unique().tolist()
    202         summary = 'unique values: ' + ', '.join(map(str, unique[:30]))

TypeError: data type "category" not understood

SELECT *
FROM (
  SELECT *
  FROM T
  LIMIT 10
)
PIVOT (
  COUNT(*)
  FOR column_name
  IN ('a', 'b', 'c')
)