TST: MultiIndex.get_indexer with na/missing

doc/source/whatsnew/v2.0.0.rst

@@ -558,7 +558,7 @@ Missing
 
 MultiIndex
 ^^^^^^^^^^
-- Bug in :meth:`MultiIndex.get_indexer` not matching ``NaN`` values (:issue:`37222`)
+- Bug in :meth:`MultiIndex.get_indexer` not matching ``NaN`` values (:issue:`29252`, :issue:`37222`, :issue:`38623`, :issue:`42883`, :issue:`43222`, :issue:`46173`, :issue:`48905`)
 - Bug in :meth:`MultiIndex.argsort` raising ``TypeError`` when index contains :attr:`NA` (:issue:`48495`)
 - Bug in :meth:`MultiIndex.difference` losing extension array dtype (:issue:`48606`)
 - Bug in :class:`MultiIndex.set_levels` raising ``IndexError`` when setting empty level (:issue:`48636`)

pandas/tests/indexes/multi/test_indexing.py

@@ -933,3 +933,17 @@ def test_get_locs_reordering(keys, expected):
     result = idx.get_locs(keys)
     expected = np.array(expected, dtype=np.intp)
     tm.assert_numpy_array_equal(result, expected)
+
+
+def test_get_indexer_for_multiindex_with_nans(nulls_fixture):
+    # GH37222
+    idx1 = MultiIndex.from_product([["A"], [1.0, 2.0]], names=["id1", "id2"])
+    idx2 = MultiIndex.from_product([["A"], [nulls_fixture, 2.0]], names=["id1", "id2"])
+
+    result = idx2.get_indexer(idx1)
+    expected = np.array([-1, 1], dtype=np.intp)
+    tm.assert_numpy_array_equal(result, expected)
+
+    result = idx1.get_indexer(idx2)
+    expected = np.array([-1, 1], dtype=np.intp)
+    tm.assert_numpy_array_equal(result, expected)

pandas/tests/indexes/multi/test_isin.py

@@ -13,6 +13,15 @@ def test_isin_nan():
     )
 
 
+def test_isin_missing(nulls_fixture):
+    # GH48905
+    mi1 = MultiIndex.from_tuples([(1, nulls_fixture)])
+    mi2 = MultiIndex.from_tuples([(1, 1), (1, 2)])
+    result = mi2.isin(mi1)
+    expected = np.array([False, False])
+    tm.assert_numpy_array_equal(result, expected)
+
+
 def test_isin():
     values = [("foo", 2), ("bar", 3), ("quux", 4)]
 

pandas/tests/indexes/multi/test_join.py

@@ -2,6 +2,7 @@
 import pytest
 
 from pandas import (
+    DataFrame,
     Index,
     Interval,
     MultiIndex,
@@ -158,3 +159,21 @@ def test_join_overlapping_interval_level():
     result = idx_1.join(idx_2, how="outer")
 
     tm.assert_index_equal(result, expected)
+
+
+def test_join_multi_with_nan():
+    # GH29252
+    df1 = DataFrame(
+        data={"col1": [1.1, 1.2]},
+        index=MultiIndex.from_product([["A"], [1.0, 2.0]], names=["id1", "id2"]),
+    )
+    df2 = DataFrame(
+        data={"col2": [2.1, 2.2]},
+        index=MultiIndex.from_product([["A"], [np.NaN, 2.0]], names=["id1", "id2"]),
+    )
+    result = df1.join(df2)
+    expected = DataFrame(
+        data={"col1": [1.1, 1.2], "col2": [np.nan, 2.2]},
+        index=MultiIndex.from_product([["A"], [1.0, 2.0]], names=["id1", "id2"]),
+    )
+    tm.assert_frame_equal(result, expected)

pandas/tests/indexes/multi/test_reindex.py

@@ -159,3 +159,15 @@ def test_reindex_limit_arg_with_multiindex():
         match="limit argument only valid if doing pad, backfill or nearest reindexing",
     ):
         df.reindex(new_idx, fill_value=0, limit=1)
+
+
+def test_reindex_with_none_in_nested_multiindex():
+    # GH42883
+    index = MultiIndex.from_tuples([(("a", None), 1), (("b", None), 2)])
+    index2 = MultiIndex.from_tuples([(("b", None), 2), (("a", None), 1)])
+    df1_dtype = pd.DataFrame([1, 2], index=index)
+    df2_dtype = pd.DataFrame([2, 1], index=index2)
+
+    result = df1_dtype.reindex_like(df2_dtype)
+    expected = df2_dtype
+    tm.assert_frame_equal(result, expected)

pandas/tests/indexes/multi/test_setops.py

@@ -4,6 +4,7 @@
 import pandas as pd
 from pandas import (
     CategoricalIndex,
+    DataFrame,
     Index,
     IntervalIndex,
     MultiIndex,
@@ -548,6 +549,15 @@ def test_intersection_with_missing_values_on_both_sides(nulls_fixture):
     tm.assert_index_equal(result, expected)
 
 
+def test_union_with_missing_values_on_both_sides(nulls_fixture):
+    # GH#38623
+    mi1 = MultiIndex.from_arrays([[1, nulls_fixture]])
+    mi2 = MultiIndex.from_arrays([[1, nulls_fixture, 3]])
+    result = mi1.union(mi2)
+    expected = MultiIndex.from_arrays([[1, 3, nulls_fixture]])
+    tm.assert_index_equal(result, expected)
+
+
 @pytest.mark.parametrize("dtype", ["float64", "Float64"])
 @pytest.mark.parametrize("sort", [None, False])
 def test_union_nan_got_duplicated(dtype, sort):
@@ -651,7 +661,6 @@ def test_union_keep_dtype_precision(any_real_numeric_dtype):
 
 def test_union_keep_ea_dtype_with_na(any_numeric_ea_dtype):
     # GH#48498
-
     arr1 = Series([4, pd.NA], dtype=any_numeric_ea_dtype)
     arr2 = Series([1, pd.NA], dtype=any_numeric_ea_dtype)
     midx = MultiIndex.from_arrays([arr1, [2, 1]], names=["a", None])
@@ -695,3 +704,12 @@ def test_intersection_keep_ea_dtypes(val, any_numeric_ea_dtype):
     result = midx.intersection(midx2)
     expected = MultiIndex.from_arrays([Series([2], dtype=any_numeric_ea_dtype), [1]])
     tm.assert_index_equal(result, expected)
+
+
+def test_union_with_na_when_constructing_dataframe():
+    # GH43222
+    series1 = Series((1,), index=MultiIndex.from_tuples(((None, None),)))
+    series2 = Series((10, 20), index=MultiIndex.from_tuples(((None, None), ("a", "b"))))
+    result = DataFrame([series1, series2])
+    expected = DataFrame({(np.nan, np.nan): [1.0, 10.0], ("a", "b"): [np.nan, 20.0]})
+    tm.assert_frame_equal(result, expected)

pandas/tests/indexing/multiindex/test_multiindex.py

@@ -216,3 +216,15 @@ def test_multiindex_repeated_keys(self):
             ],
             Series([1, 1, 2, 2], MultiIndex.from_arrays([["a", "a", "b", "b"]])),
         )
+
+    def test_multiindex_with_na_missing_key(self):
+        # GH46173
+        df = DataFrame.from_dict(
+            {
+                ("foo",): [1, 2, 3],
+                ("bar",): [5, 6, 7],
+                (None,): [8, 9, 0],
+            }
+        )
+        with pytest.raises(KeyError, match="missing_key"):
+            df[[("missing_key",)]]