diff --git a/antarest/study/service.py b/antarest/study/service.py
index 761d9956b6..a0b447bf20 100644
--- a/antarest/study/service.py
+++ b/antarest/study/service.py
@@ -1600,7 +1600,7 @@ def _create_edit_study_command(
                         # Can happen with data with only one column. In this case, we don't care about the delimiter.
                         delimiter = "\t"
                     df = pd.read_csv(io.BytesIO(data), delimiter=delimiter, header=None).replace(",", ".", regex=True)
-                    df = df.dropna(axis=1, how="all")  # We don't want to be able to import NaN columns
+                    df = df.dropna(axis=1, how="all")  # We want to remove columns full of NaN at the import
                     matrix = df.to_numpy(dtype=np.float64)
                 matrix = matrix.reshape((1, 0)) if matrix.size == 0 else matrix
                 return ReplaceMatrix(
diff --git a/tests/integration/raw_studies_blueprint/test_fetch_raw_data.py b/tests/integration/raw_studies_blueprint/test_fetch_raw_data.py
index 9f09fae64c..967a43b6f1 100644
--- a/tests/integration/raw_studies_blueprint/test_fetch_raw_data.py
+++ b/tests/integration/raw_studies_blueprint/test_fetch_raw_data.py
@@ -225,7 +225,7 @@ def test_get_study_data(self, client: TestClient, user_access_token: str, intern
                 expected = 8760 * [[0]] if study_type == "raw" else [[]]
             else:
                 df = pd.read_csv(io.BytesIO(content), delimiter=delimiter, header=None).replace(",", ".", regex=True)
-                df = df.dropna(axis=1, how="all")  # We don't want to be able to import NaN columns
+                df = df.dropna(axis=1, how="all")  # We want to remove columns full of NaN at the import
                 expected = df.to_numpy(dtype=np.float64).tolist()
             assert written_data == expected