transposed blocks to keep axis_int parameter intact

Author: sharkipelago

pandas/core/generic.py

@@ -9286,13 +9286,13 @@ def ranker(blk_values):
                 )
             else:
                 ranks = algos.rank(
-                    blk_values,
-                    axis=1 - axis_int,
+                    blk_values.T,
+                    axis=axis_int,
                     method=method,
                     ascending=ascending,
                     na_option=na_option,
                     pct=pct,
-                )
+                ).T
             return ranks
 
         if numeric_only:

pandas/tests/frame/methods/test_rank.py

@@ -405,7 +405,6 @@ def test_rank_inf_and_nan(self, contents, dtype, frame_or_series):
         # Shuffle the testing array and expected results in the same way
         random_order = np.random.default_rng(2).permutation(len(values))
         obj = frame_or_series(values[random_order])
-        print("TYPE", type(obj))
         expected = frame_or_series(exp_order[random_order], dtype="float64")
         result = obj.rank()
         tm.assert_equal(result, expected)