Test for nested series equality pandas-dev#22400 (pandas-dev#47627)

* TST: Added test for consistent type with unique agg pandas-dev#22558

* TST: Added test for consistent type with unique agg pandas-dev#22558

* TST: Moved and restructured test pandas-dev#22558

* TST: Added test for nested series pandas-dev#22400

* TST: Added equality test for nested series pandas-dev#22400

Co-authored-by: Steven Rotondo <[email protected]>

Author: 2 people

pandas/tests/util/test_assert_series_equal.py

@@ -1,3 +1,4 @@
+import numpy as np
 import pytest
 
 from pandas.core.dtypes.common import is_extension_array_dtype
@@ -382,3 +383,29 @@ def test_assert_series_equal_identical_na(nulls_fixture):
     # while we're here do Index too
     idx = pd.Index(ser)
     tm.assert_index_equal(idx, idx.copy(deep=True))
+
+
+def test_identical_nested_series_is_equal():
+    # GH#22400
+    x = Series(
+        [
+            0,
+            0.0131142231938,
+            1.77774652865e-05,
+            np.array([0.4722720840328748, 0.4216929783681722]),
+        ]
+    )
+    y = Series(
+        [
+            0,
+            0.0131142231938,
+            1.77774652865e-05,
+            np.array([0.4722720840328748, 0.4216929783681722]),
+        ]
+    )
+    # These two arrays should be equal, nesting could cause issue
+
+    tm.assert_series_equal(x, x)
+    tm.assert_series_equal(x, x, check_exact=True)
+    tm.assert_series_equal(x, y)
+    tm.assert_series_equal(x, y, check_exact=True)