Updated NA checks to use correct testing functions

Author: meson800

tests/test_flow.py

@@ -215,12 +215,14 @@ def test_na_for_unspecified_columns(tmp_path: Path):
     df = flow.load_csv_with_metadata(str(tmp_path), yaml_path)
     df.sort_values(by="well", inplace=True, ignore_index=True)
 
-    data = [["cond1", pd.NA, "A1", "singlets", 1, 2], [pd.NA, "cond2", "A2", "singlets", 10, 20]]
-    df_manual = pd.DataFrame(
-        data,
-        columns=["condition", "second_condition", "well", "population", "channel1", "channel2"],
-    )
-    assert df.equals(df_manual)
+    # can't directly check for NA, use the .isna commands
+    # assert there are NA's where we expect
+    assert pd.isna(df[df.well == 'A1']['second_condition']).all()
+    assert pd.isna(df[df.well == 'A2']['condition']).all()
+
+    # and that there aren't NA's where there shouldn't be
+    assert pd.notna(df[df.well == 'A1']['condition']).all()
+    assert pd.notna(df[df.well == 'A2']['second_condition']).all()
 
 
 def test_passed_list_metadata(tmp_path: Path):