BUG: 2D ndarray of dtype 'object' is always copied upon construction (p…

…andas-dev#39263)

pandas/core/internals/construction.py

@@ -3,6 +3,8 @@
 constructors before passing them to a BlockManager.
 """
 from collections import abc
+from itertools import groupby
+from operator import itemgetter
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -240,18 +242,26 @@ def init_ndarray(values, index, columns, dtype: Optional[DtypeObj], copy: bool):
         if values.ndim == 2 and values.shape[0] != 1:
             # transpose and separate blocks
 
-            dvals_list = [maybe_infer_to_datetimelike(row) for row in values]
-            for n in range(len(dvals_list)):
-                if isinstance(dvals_list[n], np.ndarray):
-                    dvals_list[n] = dvals_list[n].reshape(1, -1)
+            dvals_list = (maybe_infer_to_datetimelike(row) for row in values)
 
             from pandas.core.internals.blocks import make_block
 
-            # TODO: What about re-joining object columns?
-            block_values = [
-                make_block(dvals_list[n], placement=[n], ndim=2)
-                for n in range(len(dvals_list))
-            ]
+            i = 0
+            block_values = []
+            for is_object, group in groupby(dvals_list,
+                                            lambda row: is_object_dtype(row.dtype)):
+                group = list(group)
+                ei = i + len(group)
+                if is_object:
+                    block_values.append(values[i:ei])
+                else:
+                    block_values.extend(
+                        make_block(row.reshape(1, -1) if isinstance(row, np.ndarray)
+                                   else row,
+                                   placement=[i + incr], ndim=2)
+                        for incr, row in enumerate(group)
+                    )
+                i = ei
 
         else:
             datelike_vals = maybe_infer_to_datetimelike(values)

pandas/tests/frame/test_constructors.py

@@ -2267,6 +2267,15 @@ def test_nested_dict_construction(self):
         )
         tm.assert_frame_equal(result, expected)
 
+    def test_object_array_does_not_copy(self):
+        a = np.array(['a', 'b'], dtype='object')
+        b = np.array([['a', 'b'],
+                      ['c', 'd']], dtype='object')
+        df = pd.DataFrame(a)
+        assert np.shares_memory(df.values, a)
+        df2 = pd.DataFrame(b)
+        assert np.shares_memory(df2.values, b)
+
     def test_from_tzaware_object_array(self):
         # GH#26825 2D object array of tzaware timestamps should not raise
         dti = date_range("2016-04-05 04:30", periods=3, tz="UTC")