TST: separate out skips for sparseseries indexing

Author: jreback

pandas/tests/sparse/series/test_indexing.py

@@ -0,0 +1,113 @@
+import pytest
+import numpy as np
+from pandas import SparseSeries, Series
+from pandas.util import testing as tm
+
+
+pytestmark = pytest.mark.skip("Wrong SparseBlock initialization (GH 17386)")
+
+
+@pytest.mark.parametrize('data', [
+    [1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
+    [1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, np.nan, np.nan],
+    [
+        1.0, 1.0 + 1.0j,
+        2.0 + 2.0j, 2.0,
+        3.0, 3.0 + 3.0j,
+        4.0 + 4.0j, 4.0,
+        np.nan, np.nan
+    ]
+])
+@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
+                          '(GH 17386)')
+def test_where_with_numeric_data(data):
+    # GH 17386
+    lower_bound = 1.5
+
+    sparse = SparseSeries(data)
+    result = sparse.where(sparse > lower_bound)
+
+    dense = Series(data)
+    dense_expected = dense.where(dense > lower_bound)
+    sparse_expected = SparseSeries(dense_expected)
+
+    tm.assert_series_equal(result, dense_expected)
+    tm.assert_sp_series_equal(result, sparse_expected)
+
+
+@pytest.mark.parametrize('data', [
+    [1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
+    [1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, np.nan, np.nan],
+    [
+        1.0, 1.0 + 1.0j,
+        2.0 + 2.0j, 2.0,
+        3.0, 3.0 + 3.0j,
+        4.0 + 4.0j, 4.0,
+        np.nan, np.nan
+    ]
+])
+@pytest.mark.parametrize('other', [
+    True,
+    -100,
+    0.1,
+    100.0 + 100.0j
+])
+@pytest.mark.skip(reason='Wrong SparseBlock initialization '
+                         '(Segfault) '
+                         '(GH 17386)')
+def test_where_with_numeric_data_and_other(data, other):
+    # GH 17386
+    lower_bound = 1.5
+
+    sparse = SparseSeries(data)
+    result = sparse.where(sparse > lower_bound, other)
+
+    dense = Series(data)
+    dense_expected = dense.where(dense > lower_bound, other)
+    sparse_expected = SparseSeries(dense_expected, fill_value=other)
+
+    tm.assert_series_equal(result, dense_expected)
+    tm.assert_sp_series_equal(result, sparse_expected)
+
+
+@pytest.mark.xfail(reason='Wrong SparseBlock initialization '
+                          '(GH 17386)')
+def test_where_with_bool_data():
+    # GH 17386
+    data = [False, False, True, True, False, False]
+    cond = True
+
+    sparse = SparseSeries(data)
+    result = sparse.where(sparse == cond)
+
+    dense = Series(data)
+    dense_expected = dense.where(dense == cond)
+    sparse_expected = SparseSeries(dense_expected)
+
+    tm.assert_series_equal(result, dense_expected)
+    tm.assert_sp_series_equal(result, sparse_expected)
+
+
+@pytest.mark.parametrize('other', [
+    True,
+    0,
+    0.1,
+    100.0 + 100.0j
+])
+@pytest.mark.skip(reason='Wrong SparseBlock initialization '
+                         '(Segfault) '
+                         '(GH 17386)')
+def test_where_with_bool_data_and_other(other):
+    # GH 17386
+    data = [False, False, True, True, False, False]
+    cond = True
+
+    sparse = SparseSeries(data)
+    result = sparse.where(sparse == cond, other)
+
+    dense = Series(data)
+    dense_expected = dense.where(dense == cond, other)
+    sparse_expected = SparseSeries(dense_expected, fill_value=other)
+
+    tm.assert_series_equal(result, dense_expected)
+    tm.assert_sp_series_equal(result, sparse_expected)

pandas/tests/sparse/series/test_series.py

@@ -1419,108 +1419,6 @@ def test_deprecated_reindex_axis(self):
             self.bseries.reindex_axis([0, 1, 2])
         assert 'reindex' in str(m[0].message)
 
-    @pytest.mark.parametrize('data', [
-        [1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
-        [1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, nan, nan],
-        [
-            1.0, 1.0 + 1.0j,
-            2.0 + 2.0j, 2.0,
-            3.0, 3.0 + 3.0j,
-            4.0 + 4.0j, 4.0,
-            nan, nan
-        ]
-    ])
-    @pytest.mark.xfail(reason='Wrong SparseBlock initialization '
-                              '(GH 17386)')
-    def test_where_with_numeric_data(self, data):
-        # GH 17386
-        lower_bound = 1.5
-
-        sparse = SparseSeries(data)
-        result = sparse.where(sparse > lower_bound)
-
-        dense = Series(data)
-        dense_expected = dense.where(dense > lower_bound)
-        sparse_expected = SparseSeries(dense_expected)
-
-        tm.assert_series_equal(result, dense_expected)
-        tm.assert_sp_series_equal(result, sparse_expected)
-
-    @pytest.mark.parametrize('data', [
-        [1, 1, 2, 2, 3, 3, 4, 4, 0, 0],
-        [1.0, 1.0, 2.0, 2.0, 3.0, 3.0, 4.0, 4.0, nan, nan],
-        [
-            1.0, 1.0 + 1.0j,
-            2.0 + 2.0j, 2.0,
-            3.0, 3.0 + 3.0j,
-            4.0 + 4.0j, 4.0,
-            nan, nan
-        ]
-    ])
-    @pytest.mark.parametrize('other', [
-        True,
-        -100,
-        0.1,
-        100.0 + 100.0j
-    ])
-    @pytest.mark.skip(reason='Wrong SparseBlock initialization '
-                             '(Segfault) '
-                             '(GH 17386)')
-    def test_where_with_numeric_data_and_other(self, data, other):
-        # GH 17386
-        lower_bound = 1.5
-
-        sparse = SparseSeries(data)
-        result = sparse.where(sparse > lower_bound, other)
-
-        dense = Series(data)
-        dense_expected = dense.where(dense > lower_bound, other)
-        sparse_expected = SparseSeries(dense_expected, fill_value=other)
-
-        tm.assert_series_equal(result, dense_expected)
-        tm.assert_sp_series_equal(result, sparse_expected)
-
-    @pytest.mark.xfail(reason='Wrong SparseBlock initialization '
-                              '(GH 17386)')
-    def test_where_with_bool_data(self):
-        # GH 17386
-        data = [False, False, True, True, False, False]
-        cond = True
-
-        sparse = SparseSeries(data)
-        result = sparse.where(sparse == cond)
-
-        dense = Series(data)
-        dense_expected = dense.where(dense == cond)
-        sparse_expected = SparseSeries(dense_expected)
-
-        tm.assert_series_equal(result, dense_expected)
-        tm.assert_sp_series_equal(result, sparse_expected)
-
-    @pytest.mark.parametrize('other', [
-        True,
-        0,
-        0.1,
-        100.0 + 100.0j
-    ])
-    @pytest.mark.skip(reason='Wrong SparseBlock initialization '
-                             '(Segfault) '
-                             '(GH 17386)')
-    def test_where_with_bool_data_and_other(self, other):
-        # GH 17386
-        data = [False, False, True, True, False, False]
-        cond = True
-
-        sparse = SparseSeries(data)
-        result = sparse.where(sparse == cond, other)
-
-        dense = Series(data)
-        dense_expected = dense.where(dense == cond, other)
-        sparse_expected = SparseSeries(dense_expected, fill_value=other)
-
-        tm.assert_series_equal(result, dense_expected)
-        tm.assert_sp_series_equal(result, sparse_expected)
-
 
 @pytest.mark.parametrize(
     'datetime_type', (np.datetime64,