docs: def filter_(self, columns, value):
          """ This method filter some of the rows where the 'value'
          is found in each of the 'columns'.
  
          :param column: list of strings
          :param value: any type
  
          :returns: filtered dataframe
          :rtype: pandas.DataFrame
          """
  
          for column in columns:
              if column not in self.data.columns:
                  raise ValueError("Column %s not in DataFrame columns: %s" % (column, list(self.data)))
  
          for column in columns:
              # Filtering on empty data series doesn't make sense at all and also would raise an error
              column_len = len(self.data[column])
              if column_len > 0 and column_len != self.data[column].isnull().sum():
                  self.data = self.data[self.data[column] != value]
  
          return self.data