TST: avoid re-running tests 14 times (#43922)

Author: jbrockmendel

pandas/tests/indexes/common.py

@@ -525,38 +525,6 @@ def test_format_empty(self):
         assert empty_idx.format() == []
         assert empty_idx.format(name=True) == [""]
 
-    def test_hasnans_isnans(self, index_flat):
-        # GH 11343, added tests for hasnans / isnans
-        index = index_flat
-
-        # cases in indices doesn't include NaN
-        idx = index.copy(deep=True)
-        expected = np.array([False] * len(idx), dtype=bool)
-        tm.assert_numpy_array_equal(idx._isnan, expected)
-        assert idx.hasnans is False
-
-        idx = index.copy(deep=True)
-        values = np.asarray(idx.values)
-
-        if len(index) == 0:
-            return
-        elif isinstance(index, NumericIndex) and is_integer_dtype(index.dtype):
-            return
-        elif isinstance(index, DatetimeIndexOpsMixin):
-            values[1] = iNaT
-        else:
-            values[1] = np.nan
-
-        if isinstance(index, PeriodIndex):
-            idx = type(index)(values, freq=index.freq)
-        else:
-            idx = type(index)(values)
-
-            expected = np.array([False] * len(idx), dtype=bool)
-            expected[1] = True
-            tm.assert_numpy_array_equal(idx._isnan, expected)
-            assert idx.hasnans is True
-
     def test_fillna(self, index):
         # GH 11343
         if len(index) == 0:

pandas/tests/indexes/test_common.py

@@ -12,6 +12,7 @@
 from pandas.compat import IS64
 
 from pandas.core.dtypes.common import (
+    is_integer_dtype,
     is_period_dtype,
     needs_i8_conversion,
 )
@@ -366,6 +367,38 @@ def test_asi8_deprecation(self, index):
         with tm.assert_produces_warning(warn):
             index.asi8
 
+    def test_hasnans_isnans(self, index_flat):
+        # GH#11343, added tests for hasnans / isnans
+        index = index_flat
+
+        # cases in indices doesn't include NaN
+        idx = index.copy(deep=True)
+        expected = np.array([False] * len(idx), dtype=bool)
+        tm.assert_numpy_array_equal(idx._isnan, expected)
+        assert idx.hasnans is False
+
+        idx = index.copy(deep=True)
+        values = np.asarray(idx.values)
+
+        if len(index) == 0:
+            return
+        elif isinstance(index, NumericIndex) and is_integer_dtype(index.dtype):
+            return
+        elif needs_i8_conversion(index.dtype):
+            values[1] = iNaT
+        else:
+            values[1] = np.nan
+
+        if isinstance(index, PeriodIndex):
+            idx = type(index)(values, freq=index.freq)
+        else:
+            idx = type(index)(values)
+
+            expected = np.array([False] * len(idx), dtype=bool)
+            expected[1] = True
+            tm.assert_numpy_array_equal(idx._isnan, expected)
+            assert idx.hasnans is True
+
 
 @pytest.mark.parametrize("na_position", [None, "middle"])
 def test_sort_values_invalid_na_position(index_with_missing, na_position):