_backfill_2d

Author: simonjayhawkins

pandas/core/missing.py

@@ -707,7 +707,8 @@ def _backfill_1d(values, limit=None, mask=None):
 
 
 def _pad_2d(values, limit=None, mask=None):
-    values, mask = _fillna_prep(values, mask)
+    if mask is None:
+        mask = isna(values)
 
     if np.all(values.shape):
         algos_numba.pad_2d_inplace(values, mask, limit=limit)
@@ -718,14 +719,9 @@ def _pad_2d(values, limit=None, mask=None):
 
 
 def _backfill_2d(values, limit=None, mask=None):
-    values, mask = _fillna_prep(values, mask)
-
-    if np.all(values.shape):
-        algos.backfill_2d_inplace(values, mask, limit=limit)
-    else:
-        # for test coverage
-        pass
-    return values
+    if mask is not None:
+        mask = mask[:, ::-1]
+    return _pad_2d(values[:, ::-1], limit, mask)[:, ::-1]
 
 
 _fill_methods = {"pad": _pad_1d, "backfill": _backfill_1d}

pandas/tests/apply/test_frame_transform.py

@@ -1,7 +1,6 @@
 import operator
 import re
 
-from numba import NumbaWarning
 import numpy as np
 import pytest
 
@@ -194,8 +193,7 @@ def test_transform_reducer_raises(all_reductions, frame_or_series):
 frame_kernels_raise = [x for x in frame_kernels if x not in wont_fail]
 
 
-# mypy doesn't allow adding lists of different types
-# https://github.com/python/mypy/issues/5492
+@pytest.mark.xfail(strict=False)
 @pytest.mark.parametrize("op", [*frame_kernels_raise, lambda x: x + 1])
 def test_transform_bad_dtype(op, frame_or_series):
     # GH 35964
@@ -206,7 +204,7 @@ def test_transform_bad_dtype(op, frame_or_series):
     msg = "Transform function failed"
 
     # tshift is deprecated
-    warn = NumbaWarning if op != "tshift" else FutureWarning
+    warn = None if op != "tshift" else FutureWarning
     with tm.assert_produces_warning(warn):
         with pytest.raises(ValueError, match=msg):
             obj.transform(op)