def get_null_columns(train, null_threshold=0.4):
  """
  finds columns with null values greater than threshold(default=0.4)
  returns list of columns to be removed
  """
  missingcol = train.columns[(train.isnull().sum() /
                              train.shape[0]) > null_threshold]
  return missingcol