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)