add test from original issue

Author: MarcoGorelli

pandas/tests/frame/methods/test_cov_corr.py

@@ -412,30 +412,14 @@ def test_corrwith_kendall(self):
 
     def test_corrwith_spearman_with_tied_data(self):
         # GH#48826
-        df = DataFrame(
+        df1 = DataFrame(
             {
-                "A": [2, 5, 8, 9],
-                "B": [2, np.nan, 8, 9],
-                "C": Series([2, np.nan, 8, 9], dtype="Int64"),
-                "D": [0, 1, 1, 0],
-                "E": [0, np.nan, 1, 0],
-                "F": Series([0, np.nan, 1, 0], dtype="Float64"),
-                "G": [False, True, True, False],
-                "H": Series([False, pd.NA, True, False], dtype="boolean"),
-            },
-        )
-        ser_list = [
-            Series([0, 1, 1, 0]),
-            Series([0.0, 1.0, 1.0, 0.0]),
-            Series([False, True, True, False]),
-            Series([0, pd.NA, 1, 0], dtype="Int64"),
-            Series([0, pd.NA, 1, 0], dtype="Float64"),
-            Series([False, pd.NA, True, False], dtype="boolean"),
-        ]
-        expected = Series(
-            [0.0, 0.0, 0.0, 1.0, 1.0, 1.0, 1.0, 1.0],
-            index=["A", "B", "C", "D", "E", "F", "G", "H"],
+                "A": [1, np.nan, 7, 8],
+                "B": [False, True, True, False],
+                "C": [10, 4, 9, 3],
+            }
         )
-        for ser in ser_list:
-            result = df.corrwith(ser, method="spearman", numeric_only=False)
-            tm.assert_series_equal(result, expected)
+        df2 = df1[["B", "C"]]
+        result = (df1 + 1).corrwith(df2.B, method="spearman")
+        expected = Series([0.0, 1.0, 0.0], index=["A", "B", "C"])
+        tm.assert_series_equal(result, expected)