unitstrippedwarning

Author: andrewgsavage

pint_pandas/pint_array.py

@@ -685,7 +685,8 @@ def __array__(self, dtype=None, copy=False):
 
     def _to_array_of_quantity(self, copy=False):
         qtys = [self._Q(item, self._dtype.units) for item in self._data]
-        return np.array(qtys, dtype="object", copy=copy)
+        with warnings.catch_warnings(record=True):
+            return np.array(qtys, dtype="object", copy=copy)
 
     def searchsorted(self, value, side="left", sorter=None):
         """

pint_pandas/testsuite/test_pandas_extensiontests.py

@@ -579,7 +579,7 @@ def test_unstack(self, data, index, obj):
 
 
 class TestSetitem(base.BaseSetitemTests):
-    @pytest.mark.xfail(run=True, reason="excess warnings, needs debugging")
+    # @pytest.mark.xfail(run=True, reason="excess warnings, needs debugging")
     def test_setitem_frame_2d_values(self, data):
         # GH#44514
         df = pd.DataFrame({"A": data})

test.bak

@@ -0,0 +1,70 @@
+import pandas as pd
+import pint
+import pint_pandas
+import numpy as np
+u = ureg =pint.UnitRegistry()
+pint_pandas.PintType.ureg = u
+from pint_pandas import PintArray, PintType
+
+import pdb
+
+from pint_pandas.testsuite.test_pandas_extensiontests import TestSetitem
+self = TestSetitem()
+
+_all_arithmetic_operators = [
+    "__add__",
+    "__radd__",
+    "__sub__",
+    "__rsub__",
+    "__mul__",
+    "__rmul__",
+    "__floordiv__",
+    "__rfloordiv__",
+    "__truediv__",
+    "__rtruediv__",
+    "__pow__",
+    "__rpow__",
+    "__mod__",
+    "__rmod__",
+]
+import pandas._testing as tm
+
+all_arithmetic_operators = "__radd__"
+
+data = PintArray.from_1darray_quantity(np.arange(start=1.0, stop=101.0) * ureg.nm)
+
+# GH#44514
+df = pd.DataFrame({"A": data})
+
+# These dtypes have non-broken implementations of _can_hold_element
+has_can_hold_element = False
+
+# Avoiding using_array_manager fixture
+#  https://github.com/pandas-dev/pandas/pull/44514#discussion_r754002410
+using_array_manager = isinstance(df._mgr, pd.core.internals.ArrayManager)
+
+blk_data = df._mgr.arrays[0]
+
+orig = df.copy()
+
+msg = "will attempt to set the values inplace instead"
+warn = None
+if has_can_hold_element and not isinstance(data.dtype, PandasDtype):
+    # PandasDtype excluded because it isn't *really* supported.
+    warn = FutureWarning
+
+with tm.assert_produces_warning(warn, match=msg):
+    df.iloc[:] = df
+self.assert_frame_equal(df, orig)
+
+df.iloc[:-1] = df.iloc[:-1]
+self.assert_frame_equal(df, orig)
+
+#if isinstance(data.dtype, DatetimeTZDtype):
+#    # no warning bc df.values casts to object dtype
+#   warn = None
+#df.iloc[:] = df.values
+print(df, df.dtypes)
+df.iloc[:] = df.values
+print(df, df.dtypes)
+#self.assert_frame_equal(df, orig)