diff --git a/pandas-pr34991-npconstructor.patch b/pandas-pr34991-npconstructor.patch
deleted file mode 100644
index c4507ba..0000000
--- a/pandas-pr34991-npconstructor.patch
+++ /dev/null
@@ -1,78 +0,0 @@
-Index: pandas-1.0.5/pandas/core/internals/construction.py
-===================================================================
---- pandas-1.0.5.orig/pandas/core/internals/construction.py
-+++ pandas-1.0.5/pandas/core/internals/construction.py
-@@ -292,7 +292,7 @@ def prep_ndarray(values, copy=True) -> n
-     if values.ndim == 1:
-         values = values.reshape((values.shape[0], 1))
-     elif values.ndim != 2:
--        raise ValueError("Must pass 2-d input")
-+        raise ValueError(f"Must pass 2-d input. shape={values.shape}")
- 
-     return values
- 
-Index: pandas-1.0.5/pandas/tests/frame/test_constructors.py
-===================================================================
---- pandas-1.0.5.orig/pandas/tests/frame/test_constructors.py
-+++ pandas-1.0.5/pandas/tests/frame/test_constructors.py
-@@ -9,7 +9,7 @@ import numpy.ma.mrecords as mrecords
- import pytest
- 
- from pandas.compat import is_platform_little_endian
--from pandas.compat.numpy import _is_numpy_dev
-+from pandas.compat.numpy import _np_version_under1p19
- 
- from pandas.core.dtypes.common import is_integer_dtype
- 
-@@ -145,14 +145,20 @@ class TestDataFrameConstructors:
-         assert df.loc[1, 0] is None
-         assert df.loc[0, 1] == "2"
- 
--    @pytest.mark.xfail(_is_numpy_dev, reason="Interprets list of frame as 3D")
--    def test_constructor_list_frames(self):
--        # see gh-3243
--        result = DataFrame([DataFrame()])
--        assert result.shape == (1, 0)
--
--        result = DataFrame([DataFrame(dict(A=np.arange(5)))])
--        assert isinstance(result.iloc[0, 0], DataFrame)
-+    @pytest.mark.skipif(_np_version_under1p19, reason="NumPy change.")
-+    def test_constructor_list_of_2d_raises(self):
-+        # https://github.com/pandas-dev/pandas/issues/32289
-+        a = pd.DataFrame()
-+        b = np.empty((0, 0))
-+        with pytest.raises(ValueError, match=r"shape=\(1, 0, 0\)"):
-+            pd.DataFrame([a])
-+
-+        with pytest.raises(ValueError, match=r"shape=\(1, 0, 0\)"):
-+            pd.DataFrame([b])
-+
-+        a = pd.DataFrame({"A": [1, 2]})
-+        with pytest.raises(ValueError, match=r"shape=\(2, 2, 1\)"):
-+            pd.DataFrame([a, a])
- 
-     def test_constructor_mixed_dtypes(self):
-         def _make_mixed_dtypes_df(typ, ad=None):
-@@ -498,22 +504,6 @@ class TestDataFrameConstructors:
-         with pytest.raises(ValueError, match=msg):
-             DataFrame({"a": False, "b": True})
- 
--    @pytest.mark.xfail(_is_numpy_dev, reason="Interprets embedded frame as 3D")
--    def test_constructor_with_embedded_frames(self):
--
--        # embedded data frames
--        df1 = DataFrame({"a": [1, 2, 3], "b": [3, 4, 5]})
--        df2 = DataFrame([df1, df1 + 10])
--
--        df2.dtypes
--        str(df2)
--
--        result = df2.loc[0, 0]
--        tm.assert_frame_equal(result, df1)
--
--        result = df2.loc[1, 0]
--        tm.assert_frame_equal(result, df1 + 10)
--
-     def test_constructor_subclass_dict(self, float_frame, dict_subclass):
-         # Test for passing dict subclass to constructor
-         data = {