Add unittest with DataFrame subset and row_indices!=None for CSVDataset()

Signed-off-by: Bartosz Grabowski <[email protected]>

Author: bartosz-grabowski

tests/data/test_csv_dataset.py

@@ -186,6 +186,13 @@ def prepare_csv_file(data, filepath):
             self.assertEqual(len(dataset), 3)
             np.testing.assert_allclose([round(i, 4) for i in dataset[1]["ehr"]], [3.3333, 3.2353, 3.4000])
 
+            # test pre-loaded DataFrame subset with row_indices != None
+            df = pd.read_csv(filepath1)
+            df_subset = df.iloc[[1, 3, 4]]
+            dataset = CSVDataset(src=df_subset, row_indices=[1, 3], col_groups={"ehr": [f"ehr_{i}" for i in range(3)]})
+            self.assertEqual(len(dataset), 2)
+            np.testing.assert_allclose([round(i, 4) for i in dataset[1]["ehr"]], [3.3333, 3.2353, 3.4000])
+
             # test pre-loaded multiple DataFrames, join tables with kwargs
             dfs = [pd.read_csv(i) for i in filepaths]
             dataset = CSVDataset(src=dfs, on="subject_id")