diff --git a/pandas/tests/io/excel/test_writers.py b/pandas/tests/io/excel/test_writers.py
index 55b987a599670..f7b49ccb1a72d 100644
--- a/pandas/tests/io/excel/test_writers.py
+++ b/pandas/tests/io/excel/test_writers.py
@@ -258,6 +258,36 @@ def test_read_excel_parse_dates(self, ext):
             )
             tm.assert_frame_equal(df, res)
 
+    def test_multiindex_interval_datetimes(self, ext):
+        # GH 30986
+        midx = pd.MultiIndex.from_arrays(
+            [
+                range(4),
+                pd.interval_range(
+                    start=pd.Timestamp("2020-01-01"), periods=4, freq="6M"
+                ),
+            ]
+        )
+        df = pd.DataFrame(range(4), index=midx)
+        with tm.ensure_clean(ext) as pth:
+            df.to_excel(pth)
+            result = pd.read_excel(pth, index_col=[0, 1])
+        expected = pd.DataFrame(
+            range(4),
+            pd.MultiIndex.from_arrays(
+                [
+                    range(4),
+                    [
+                        "(2020-01-31, 2020-07-31]",
+                        "(2020-07-31, 2021-01-31]",
+                        "(2021-01-31, 2021-07-31]",
+                        "(2021-07-31, 2022-01-31]",
+                    ],
+                ]
+            ),
+        )
+        tm.assert_frame_equal(result, expected)
+
 
 @td.skip_if_no("xlrd")
 @pytest.mark.parametrize(
diff --git a/pandas/tests/io/json/test_normalize.py b/pandas/tests/io/json/test_normalize.py
index efb95a0cb2a42..91b204ed41ebc 100644
--- a/pandas/tests/io/json/test_normalize.py
+++ b/pandas/tests/io/json/test_normalize.py
@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from pandas import DataFrame, Index, json_normalize
+from pandas import DataFrame, Index, Series, json_normalize
 import pandas._testing as tm
 
 from pandas.io.json._normalize import nested_to_record
@@ -728,3 +728,24 @@ def test_deprecated_import(self):
 
             recs = [{"a": 1, "b": 2, "c": 3}, {"a": 4, "b": 5, "c": 6}]
             json_normalize(recs)
+
+    def test_series_non_zero_index(self):
+        # GH 19020
+        data = {
+            0: {"id": 1, "name": "Foo", "elements": {"a": 1}},
+            1: {"id": 2, "name": "Bar", "elements": {"b": 2}},
+            2: {"id": 3, "name": "Baz", "elements": {"c": 3}},
+        }
+        s = Series(data)
+        s.index = [1, 2, 3]
+        result = json_normalize(s)
+        expected = DataFrame(
+            {
+                "id": [1, 2, 3],
+                "name": ["Foo", "Bar", "Baz"],
+                "elements.a": [1.0, np.nan, np.nan],
+                "elements.b": [np.nan, 2.0, np.nan],
+                "elements.c": [np.nan, np.nan, 3.0],
+            }
+        )
+        tm.assert_frame_equal(result, expected)
diff --git a/pandas/tests/resample/test_period_index.py b/pandas/tests/resample/test_period_index.py
index 955f8c7482937..ff303b808f6f5 100644
--- a/pandas/tests/resample/test_period_index.py
+++ b/pandas/tests/resample/test_period_index.py
@@ -870,3 +870,15 @@ def test_get_period_range_edges(self, first, last, offset, exp_first, exp_last):
         result = _get_period_range_edges(first, last, offset)
         expected = (exp_first, exp_last)
         assert result == expected
+
+    def test_sum_min_count(self):
+        # GH 19974
+        index = pd.date_range(start="2018", freq="M", periods=6)
+        data = np.ones(6)
+        data[3:6] = np.nan
+        s = pd.Series(data, index).to_period()
+        result = s.resample("Q").sum(min_count=1)
+        expected = pd.Series(
+            [3.0, np.nan], index=PeriodIndex(["2018Q1", "2018Q2"], freq="Q-DEC")
+        )
+        tm.assert_series_equal(result, expected)
diff --git a/pandas/tests/test_multilevel.py b/pandas/tests/test_multilevel.py
index ed9d0cffe2304..640cd8faf6811 100644
--- a/pandas/tests/test_multilevel.py
+++ b/pandas/tests/test_multilevel.py
@@ -891,6 +891,31 @@ def manual_compare_stacked(df, df_stacked, lev0, lev1):
         )
         manual_compare_stacked(df, df.stack(0), 0, 1)
 
+    def test_stack_unstack_unordered_multiindex(self):
+        # GH 18265
+        values = np.arange(5)
+        data = np.vstack(
+            [
+                ["b{}".format(x) for x in values],  # b0, b1, ..
+                ["a{}".format(x) for x in values],
+            ]
+        )  # a0, a1, ..
+        df = pd.DataFrame(data.T, columns=["b", "a"])
+        df.columns.name = "first"
+        second_level_dict = {"x": df}
+        multi_level_df = pd.concat(second_level_dict, axis=1)
+        multi_level_df.columns.names = ["second", "first"]
+        df = multi_level_df.reindex(sorted(multi_level_df.columns), axis=1)
+        result = df.stack(["first", "second"]).unstack(["first", "second"])
+        expected = DataFrame(
+            [["a0", "b0"], ["a1", "b1"], ["a2", "b2"], ["a3", "b3"], ["a4", "b4"]],
+            index=[0, 1, 2, 3, 4],
+            columns=MultiIndex.from_tuples(
+                [("a", "x"), ("b", "x")], names=["first", "second"]
+            ),
+        )
+        tm.assert_frame_equal(result, expected)
+
     def test_groupby_corner(self):
         midx = MultiIndex(
             levels=[["foo"], ["bar"], ["baz"]],