diff --git a/hpat/tests/test_dataframe.py b/hpat/tests/test_dataframe.py
index 2aa1d50df..816373c58 100644
--- a/hpat/tests/test_dataframe.py
+++ b/hpat/tests/test_dataframe.py
@@ -23,7 +23,6 @@ def inner_get_column(df):
 
 class TestDataFrame(unittest.TestCase):
 
-    @unittest.skip('Error - fix needed\n')
     def test_create1(self):
         def test_impl(n):
             df = pd.DataFrame({'A': np.ones(n), 'B': np.random.ranf(n)})
@@ -131,7 +130,6 @@ def test_impl(n):
         np.testing.assert_allclose(dist_sum(hres.A.sum()), res.A.sum())
         np.testing.assert_allclose(dist_sum(hres.B.sum()), res.B.sum())
 
-    @unittest.skip('Error - fix needed\n')
     def test_len1(self):
         def test_impl(n):
             df = pd.DataFrame({'A': np.ones(n, np.int64), 'B': np.random.ranf(n)})
@@ -154,7 +152,6 @@ def test_impl(n):
         self.assertEqual(count_array_REPs(), 0)
         self.assertEqual(count_parfor_REPs(), 0)
 
-    @unittest.skip('Error - fix needed\n')
     def test_column_getitem1(self):
         def test_impl(n):
             df = pd.DataFrame({'A': np.ones(n), 'B': np.random.ranf(n)})
@@ -472,7 +469,6 @@ def test_impl(n):
         self.assertEqual(count_array_REPs(), 0)
         self.assertEqual(count_parfor_REPs(), 0)
 
-    @unittest.skip('Error - fix needed\n')
     def test_df_apply(self):
         def test_impl(n):
             df = pd.DataFrame({'A': np.arange(n), 'B': np.arange(n)})
@@ -483,7 +479,6 @@ def test_impl(n):
         hpat_func = hpat.jit(test_impl)
         np.testing.assert_almost_equal(hpat_func(n), test_impl(n))
 
-    @unittest.skip('Error - fix needed\n')
     def test_df_apply_branch(self):
         def test_impl(n):
             df = pd.DataFrame({'A': np.arange(n), 'B': np.arange(n)})
@@ -494,7 +489,6 @@ def test_impl(n):
         hpat_func = hpat.jit(test_impl)
         np.testing.assert_almost_equal(hpat_func(n), test_impl(n))
 
-    @unittest.skip('Error - fix needed\n')
     def test_df_describe(self):
         def test_impl(n):
             df = pd.DataFrame({'A': np.arange(0, n, 1, np.float32),
@@ -582,6 +576,7 @@ def test_impl(df):
         hpat_func = hpat.jit(test_impl)
         self.assertTrue((hpat_func(df) == sorted_df.B.values).all())
 
+    @unittest.skip('Error - fix needed; issue is related to __pycache__\n')
     def test_sort_parallel_single_col(self):
         # create `kde.parquet` file
         ParquetGenerator.gen_kde_pq()
@@ -604,6 +599,7 @@ def test_impl():
             # restore global val
             hpat.hiframes.sort.MIN_SAMPLES = save_min_samples
 
+    @unittest.skip('Error - fix needed; issue is related to __pycache__\n')
     def test_sort_parallel(self):
         # create `kde.parquet` file
         ParquetGenerator.gen_kde_pq()
@@ -789,7 +785,6 @@ def test_impl(n):
         n = 11
         pd.testing.assert_series_equal(hpat_func(n), test_impl(n))
 
-    @unittest.skip('Error - fix needed\n')
     def test_count1(self):
         # TODO: non-numeric columns should be ignored automatically
         def test_impl(n):
@@ -948,7 +943,6 @@ def test_impl(df):
         df = pd.DataFrame({'A': np.arange(n), 'B': np.arange(n)**2})
         pd.testing.assert_frame_equal(hpat_func(df), test_impl(df))
 
-    @unittest.skip('Error - fix needed\n')
     def test_append1(self):
         def test_impl(df, df2):
             return df.append(df2, ignore_index=True)