def test_multiple_metrics_reversed(self):
result = CSV(mock_dataset.fields.wins, mock_dataset.fields.votes) \
.transform(dimx0_metricx2_df, [], [])
expected = dimx0_metricx2_df.copy()[[f('wins'), f('votes')]]
expected.columns = ['Wins', 'Votes']
expected = expected.applymap(format_float_raw)
self.assertEqual(expected.to_csv(**csv_options), result)
def test_metricx2_reversed(self):
result = Pandas(mock_dataset.fields.wins, mock_dataset.fields.votes).transform(dimx0_metricx2_df, [], [])
expected = dimx0_metricx2_df.copy()[[f('wins'), f('votes')]]
expected.columns = ['Wins', 'Votes']
expected.columns.name = 'Metrics'
expected = expected.applymap(format_float)
pandas.testing.assert_frame_equal(expected, result)