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hgrecco · Aug 5, 2024 · c93407d · c93407d
1 parent 2c6a2a4
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Showing 2 changed files with 6 additions and 4 deletions.
diff --git a/docs/user/initializing.rst b/docs/user/initializing.rst
@@ -35,12 +35,12 @@ There are several ways to initialize a `PintArray`s` in a `DataFrame`. Here's th
     df
 
 
-In the first two Series examples above, the data was converted to Float64. 
+In the first two Series examples above, the data was converted to Float64.
 
 .. ipython:: python
 
     df.dtypes
-    
+
 
 To avoid this conversion, specify the subdtype (dtype of the magnitudes) in the dtype `"pint[m][Int64]"` when constructing using a `Series`. The default data dtype that pint-pandas converts to can be changed by modifying `pint_pandas.DEFAULT_SUBDTYPE`.
 

diff --git a/pint_pandas/pint_array.py b/pint_pandas/pint_array.py
@@ -306,7 +306,9 @@ class PintArray(ExtensionArray, ExtensionScalarOpsMixin):
 
     def __init__(self, values, dtype=None, copy=False):
         # infer subdtype from values if not given in dtype
-        if (isinstance(dtype, str) and dtype.count("[") <= 1) or isinstance(dtype, _Unit):
+        if (isinstance(dtype, str) and dtype.count("[") <= 1) or isinstance(
+            dtype, _Unit
+        ):
             _dtype = PintType(dtype)
             if isinstance(values, _Quantity):
                 values = values.m_as(_dtype.units)
@@ -316,7 +318,7 @@ def __init__(self, values, dtype=None, copy=False):
         if dtype is None:
             if isinstance(values, _Quantity):
                 units = values.units
-                values = pd.array(values.magnitude, copy=copy)
+                values = pd.array(values, copy=copy)
                 dtype = PintType(units=units, subdtype=values.dtype)
             elif isinstance(values, PintArray):
                 dtype = values._dtype