def check_for_empty_index(comparable: Compare):
"""
Find row number of empty values in the index column
"""
index_column = comparable.data_frame[idx.get_index_name(comparable)]
comparable.empty_index = [index for index, value in enumerate(index_column)
if value == Field.empty_string.value
or value != value or value is None]
def test_drop_empty_index(self, mock_index):
comparable = Compare()
comparable.index_column_name = mock_index
d = {'id': ['', '', 'str', 'abc', 'abc', '', None]}
comparable.data_frame = pd.DataFrame(data=d, dtype="object")
comparable.empty_index = [0, 1, 5, 6]
index_validator.drop_empty_index(comparable)
expected = ['str', 'abc', 'abc']
actual = list(comparable.data_frame["id"])
assert expected == actual
