code: def as_json_table_type(x):
      
      if is_integer_dtype(x):
          return 'integer'
      elif is_bool_dtype(x):
          return 'boolean'
      elif is_numeric_dtype(x):
          return 'number'
      elif (is_datetime64_dtype(x) or is_datetime64tz_dtype(x)):
          return 'datetime'
      elif is_timedelta64_dtype(x):
          return 'duration'
      elif is_categorical_dtype(x):
          return 'any'
      elif is_string_dtype(x):
          return 'string'
      else:
          return 'any'
docs: Convert a NumPy / pandas type to its corresponding json_table.
  
      Parameters
      ----------
      x : array or dtype
  
      Returns
      -------
      t : str
          the Table Schema data types
  
      Notes
      -----
      This table shows the relationship between NumPy / pandas dtypes,
      and Table Schema dtypes.
  
      ==============  =================
      Pandas type     Table Schema type
      ==============  =================
      int64           integer
      float64         number
      bool            boolean
      datetime64[ns]  datetime
      timedelta64[ns] duration
      object          str
      categorical     any
      =============== =================