separate non-scalar tests from test_timestamps (#19385)

Author: jbrockmendel

pandas/tests/frame/test_apply.py

@@ -428,6 +428,16 @@ def test_applymap(self):
                 result = frame.applymap(func)
                 tm.assert_frame_equal(result, frame)
 
+    def test_applymap_box_timestamps(self):
+        # #2689, #2627
+        ser = pd.Series(date_range('1/1/2000', periods=10))
+
+        def func(x):
+            return (x.hour, x.day, x.month)
+
+        # it works!
+        pd.DataFrame(ser).applymap(func)
+
     def test_applymap_box(self):
         # ufunc will not be boxed. Same test cases as the test_map_box
         df = pd.DataFrame({'a': [pd.Timestamp('2011-01-01'),

pandas/tests/indexes/datetimes/test_ops.py

@@ -144,6 +144,25 @@ def test_numpy_minmax(self):
             tm.assert_raises_regex(
                 ValueError, errmsg, np.argmax, dr, out=0)
 
+    def test_round_daily(self):
+        dti = pd.date_range('20130101 09:10:11', periods=5)
+        result = dti.round('D')
+        expected = pd.date_range('20130101', periods=5)
+        tm.assert_index_equal(result, expected)
+
+        dti = dti.tz_localize('UTC').tz_convert('US/Eastern')
+        result = dti.round('D')
+        expected = pd.date_range('20130101',
+                                 periods=5).tz_localize('US/Eastern')
+        tm.assert_index_equal(result, expected)
+
+        result = dti.round('s')
+        tm.assert_index_equal(result, dti)
+
+        # invalid
+        for freq in ['Y', 'M', 'foobar']:
+            pytest.raises(ValueError, lambda: dti.round(freq))
+
     def test_round(self):
         for tz in self.tz:
             rng = pd.date_range(start='2016-01-01', periods=5,

pandas/tests/io/test_html.py

@@ -868,6 +868,13 @@ def test_fallback_success(self):
         banklist_data = os.path.join(DATA_PATH, 'banklist.html')
         self.read_html(banklist_data, '.*Water.*', flavor=['lxml', 'html5lib'])
 
+    def test_to_html_timestamp(self):
+        rng = date_range('2000-01-01', periods=10)
+        df = DataFrame(np.random.randn(10, 4), index=rng)
+
+        result = df.to_html()
+        assert '2000-01-01' in result
+
     def test_parse_dates_list(self):
         df = DataFrame({'date': date_range('1/1/2001', periods=10)})
         expected = df.to_html()