diff --git a/unittests/test_table_importer.py b/unittests/test_table_importer.py
index 9146646f6b009521bded320dc98321695e7cae32..92d79334b5c7aac0f69c2b329240e85e34bf0f21 100644
--- a/unittests/test_table_importer.py
+++ b/unittests/test_table_importer.py
@@ -200,7 +200,6 @@ class TableImporterTest(unittest.TestCase):
         assert df["float"].dtype == int
         # strict = False by default, so this shouldn't raise an error
         importer.check_datatype(df)
-        print(importer.datatypes)
         # The types should be correct now.
         assert df["a"].dtype == pd.StringDtype
         assert df["float"].dtype == float
@@ -369,7 +368,6 @@ class CSVImporterTest(TableImporterTest):
         assert importer_strict.datatypes["float"] == float
         with pytest.raises(DataInconsistencyError) as die:
             df = importer_strict.read_file(tmpfile.name)
-            print(df)
         assert "Integer column has NA values in column 1" in str(die.value)
 
         # ... except when a nullable datatype is set explicitly