code: def drop(self, *cols):
          
          try:
              index = self.df.columns.values
              for col in cols:
                  if col not in index:
                      self.warning("Column", col, "not found. Aborting")
                      return
                  self.df = self.df.drop(col, axis=1)
          except Exception as e:
              self.err(e, self.drop, "Can not drop column")
docs: Drops columns from the main dataframe
  
          :param cols: names of the columns
          :type cols: str
  
          :example: ``ds.drop("Col 1", "Col 2")``