original_docstring: Creates a DataFrame that contains the typing information for a TableSchema.
docstring: Creates a DataFrame that contains the typing information for a TableSchema.
docstring_tokens: Creates a DataFrame that contains the typing information for a TableSchema .
code: def _get_typing_info(self):
          """Creates a DataFrame that contains the typing information for a TableSchema."""
          typing_info = {}
          for col_name, col in self.columns.items():
              types = [col.logical_type, str(list(col.semantic_tags))]
              typing_info[col_name] = types
  
          columns = ["Logical Type", "Semantic Tag(s)"]
  
          df = pd.DataFrame.from_dict(
              typing_info, orient="index", columns=columns, dtype="object"
          )
          df.index.name = "Column"
          return df
code_tokens: def _get_typing_info ( self ) : typing_info = { } for col_name , col in self . columns . items ( ) : types = [ col . logical_type , str ( list ( col . semantic_tags ) ) ] typing_info [ col_name ] = types columns = [ "Logical Type" , "Semantic Tag(s)" ] df = pd . DataFrame . from_dict ( typing_info , orient = "index" , columns = columns , dtype = "object" ) df . index . name = "Column" return df
short_docstring: Creates a DataFrame that contains the typing information for a TableSchema.
short_docstring_tokens: Creates a DataFrame that contains the typing information for a TableSchema .
comment: """Creates a DataFrame that contains the typing information for a TableSchema."""