diff --git a/pandas/tests/frame/test_arithmetic.py b/pandas/tests/frame/test_arithmetic.py
index 7fe921571ee2e..da930ab4d7423 100644
--- a/pandas/tests/frame/test_arithmetic.py
+++ b/pandas/tests/frame/test_arithmetic.py
@@ -1837,3 +1837,11 @@ def test_arithemetic_multiindex_align():
     )
     result = df1 - df2
     tm.assert_frame_equal(result, expected)
+
+
+def test_bool_frame_mult_float():
+    # GH 18549
+    df = DataFrame(True, list("ab"), list("cd"))
+    result = df * 1.0
+    expected = DataFrame(np.ones((2, 2)), list("ab"), list("cd"))
+    tm.assert_frame_equal(result, expected)
diff --git a/pandas/tests/groupby/test_filters.py b/pandas/tests/groupby/test_filters.py
index 995fd58a84cbd..b40514568452c 100644
--- a/pandas/tests/groupby/test_filters.py
+++ b/pandas/tests/groupby/test_filters.py
@@ -599,3 +599,16 @@ def test_filter_dropna_with_empty_groups():
     result_true = groupped.filter(lambda x: x.mean() > 1, dropna=True)
     expected_true = Series(index=pd.Index([], dtype=int), dtype=np.float64)
     tm.assert_series_equal(result_true, expected_true)
+
+
+def test_filter_consistent_result_before_after_agg_func():
+    # GH 17091
+    df = DataFrame({"data": range(6), "key": list("ABCABC")})
+    grouper = df.groupby("key")
+    result = grouper.filter(lambda x: True)
+    expected = DataFrame({"data": range(6), "key": list("ABCABC")})
+    tm.assert_frame_equal(result, expected)
+
+    grouper.sum()
+    result = grouper.filter(lambda x: True)
+    tm.assert_frame_equal(result, expected)
diff --git a/pandas/tests/indexing/test_indexing.py b/pandas/tests/indexing/test_indexing.py
index 0c20622311e1f..772aa97c47233 100644
--- a/pandas/tests/indexing/test_indexing.py
+++ b/pandas/tests/indexing/test_indexing.py
@@ -977,3 +977,10 @@ def test_extension_array_cross_section_converts():
 
     result = df.iloc[0]
     tm.assert_series_equal(result, expected)
+
+
+def test_getitem_object_index_float_string():
+    # GH 17286
+    s = Series([1] * 4, index=Index(["a", "b", "c", 1.0]))
+    assert s["a"] == 1
+    assert s[1.0] == 1
diff --git a/pandas/tests/indexing/test_loc.py b/pandas/tests/indexing/test_loc.py
index 8c79bafa2f888..c1a096ed06efc 100644
--- a/pandas/tests/indexing/test_loc.py
+++ b/pandas/tests/indexing/test_loc.py
@@ -1565,6 +1565,19 @@ def test_loc_getitem_slice_datetime_objs_with_datetimeindex(self):
         result = ser.loc[datetime(1900, 1, 1) : datetime(2100, 1, 1)]
         tm.assert_series_equal(result, ser)
 
+    def test_loc_getitem_datetime_string_with_datetimeindex(self):
+        # GH 16710
+        df = DataFrame(
+            {"a": range(10), "b": range(10)},
+            index=date_range("2010-01-01", "2010-01-10"),
+        )
+        result = df.loc[["2010-01-01", "2010-01-05"], ["a", "b"]]
+        expected = DataFrame(
+            {"a": [0, 4], "b": [0, 4]},
+            index=DatetimeIndex(["2010-01-01", "2010-01-05"]),
+        )
+        tm.assert_frame_equal(result, expected)
+
     def test_loc_getitem_sorted_index_level_with_duplicates(self):
         # GH#4516 sorting a MultiIndex with duplicates and multiple dtypes
         mi = MultiIndex.from_tuples(
diff --git a/pandas/tests/io/formats/test_to_latex.py b/pandas/tests/io/formats/test_to_latex.py
index 219c94b5a895d..10c8ccae67fb2 100644
--- a/pandas/tests/io/formats/test_to_latex.py
+++ b/pandas/tests/io/formats/test_to_latex.py
@@ -1393,6 +1393,44 @@ def test_to_latex_non_string_index(self):
         )
         assert result == expected
 
+    def test_to_latex_multiindex_multirow(self):
+        # GH 16719
+        mi = pd.MultiIndex.from_product(
+            [[0.0, 1.0], [3.0, 2.0, 1.0], ["0", "1"]], names=["i", "val0", "val1"]
+        )
+        df = DataFrame(index=mi)
+        result = df.to_latex(multirow=True, escape=False)
+        expected = _dedent(
+            r"""
+            \begin{tabular}{lll}
+            \toprule
+                &     &   \\
+            i & val0 & val1 \\
+            \midrule
+            \multirow{6}{*}{0.0} & \multirow{2}{*}{3.0} & 0 \\
+                &     & 1 \\
+            \cline{2-3}
+                & \multirow{2}{*}{2.0} & 0 \\
+                &     & 1 \\
+            \cline{2-3}
+                & \multirow{2}{*}{1.0} & 0 \\
+                &     & 1 \\
+            \cline{1-3}
+            \cline{2-3}
+            \multirow{6}{*}{1.0} & \multirow{2}{*}{3.0} & 0 \\
+                &     & 1 \\
+            \cline{2-3}
+                & \multirow{2}{*}{2.0} & 0 \\
+                &     & 1 \\
+            \cline{2-3}
+                & \multirow{2}{*}{1.0} & 0 \\
+                &     & 1 \\
+            \bottomrule
+            \end{tabular}
+            """
+        )
+        assert result == expected
+
 
 class TestTableBuilder:
     @pytest.fixture
diff --git a/pandas/tests/tseries/offsets/test_custom_business_hour.py b/pandas/tests/tseries/offsets/test_custom_business_hour.py
index 07270008adbd2..c2b4e3c343c11 100644
--- a/pandas/tests/tseries/offsets/test_custom_business_hour.py
+++ b/pandas/tests/tseries/offsets/test_custom_business_hour.py
@@ -19,6 +19,8 @@
     assert_offset_equal,
 )
 
+from pandas.tseries.holiday import USFederalHolidayCalendar
+
 
 class TestCustomBusinessHour(Base):
     _offset = CustomBusinessHour
@@ -298,3 +300,11 @@ def test_apply_nanoseconds(self, nano_case):
         offset, cases = nano_case
         for base, expected in cases.items():
             assert_offset_equal(offset, base, expected)
+
+    def test_us_federal_holiday_with_datetime(self):
+        # GH 16867
+        bhour_us = CustomBusinessHour(calendar=USFederalHolidayCalendar())
+        t0 = datetime(2014, 1, 17, 15)
+        result = t0 + bhour_us * 8
+        expected = Timestamp("2014-01-21 15:00:00")
+        assert result == expected