POC: infer time objects to ArrowDtype[time]

jbrockmendel · jbrockmendel · commit ae011015945b · 2023-06-23T09:33:25.000-07:00
diff --git a/pandas/_libs/lib.pyx b/pandas/_libs/lib.pyx
@@ -2660,7 +2660,6 @@ def maybe_convert_objects(ndarray[object] objects,
 
     elif seen.time_:
         if is_time_array(objects):
-            # FIXME: need to ensure this is not timetz
             opt = get_option("future.infer_time")
             if opt is True:
                 import pyarrow as pa
diff --git a/pandas/core/construction.py b/pandas/core/construction.py
@@ -300,6 +300,7 @@ def array(
         PeriodArray,
         TimedeltaArray,
     )
+    from pandas.core.arrays.arrow import ArrowDtype
     from pandas.core.arrays.string_ import StringDtype
 
     if lib.is_scalar(data):

Original file line number	Diff line number	Diff line change
`@@ -300,6 +300,7 @@ def array(`
`300`	`300`	`PeriodArray,`
`301`	`301`	`TimedeltaArray,`
`302`	`302`	`)`
	`303`	`+ from pandas.core.arrays.arrow import ArrowDtype`
`303`	`304`	`from pandas.core.arrays.string_ import StringDtype`
`304`	`305`
`305`	`306`	`if lib.is_scalar(data):`