old_contents: import pandas as pd
  from goerr import err
  from dataswim import DataSwim
  from django.db.models.query import QuerySet
  from django_pandas.io import read_frame
  
  
  class ChartFlo(DataSwim):
  
      def __repr__(self):
          """
          String representation of the object
          """
          rows = str(len(self.df.columns))
          return '<Chartflo object - ' + rows + " >"
  
      def load_data(self, dataset):
          """
          Set the main dataframe with the input data
          """
          try:
              df = self._load_data(dataset)
              self.df = df
          except Exception as e:
              err.new(e, self.load_data, "Can not load dataset")
  
      def load_data_(self, dataset):
          """
          Returns an instance with the input data
          """
          try:
              df = self._load_data(dataset)
              return self.clone_(df)
          except Exception as e:
              err.new(e, self._load_data, "Can not load dataset")
  
      def _load_data(self, dataset):
          """
          Convert the input data to pandas dataframe
          """
          df = pd.DataFrame()
          try:
              if isinstance(dataset, pd.DataFrame):
                  return dataset
              elif isinstance(dataset, QuerySet):
                  df = read_frame(dataset)
              elif isinstance(dataset, dict):
                  df = self._dict_to_df(dataset)
              elif isinstance(dataset, list):
                  return pd.DataFrame(dataset)
              else:
                  err.new(self._load_data,
                          "Data format unknown: "
                          + str(type(dataset)) +
                          " please provide a dictionnary, a Django Queryset or a Pandas DataFrame")
          except Exception as e:
              err.new(e, self._load_data, "Can not convert dataset")
          if err.exists:
              err.throw()
          return df
  
      def _dict_to_df(self, dictobj):
          """
          Converts a dictionary to a pandas dataframe
          """
          x = []
          y = []
          print("DICT")
          for datapoint in dictobj:
              x.append(datapoint)
              y.append(dictobj[datapoint])
          df = pd.DataFrame(dictobj)
          return df
  
  
  cf = ChartFlo()
  
new_contents: from dataswim import DataSwim
  
  
  class ChartFlo(DataSwim):
  
      def __repr__(self):
          """
          String representation of the object
          """
          rows = str(len(self.df.columns))
          return '<Chartflo object - ' + rows + " >"
  
  
  cf = ChartFlo()
  
subject: Move the load_data method to the Dataswim lib