code: def dropna_rows(data: pd.DataFrame, columns_name: str=None):
      
      params = {}
      if columns_name is not None:
          params.update({'subset': columns_name.split(',')})
      data.dropna(inplace=True, **params)
docs: Remove columns with more NA values than threshold level
  
      :param data:
      :param columns_name:
      :return: