MAINT: Directly grab `nan` from the input array

Directly grab a nan-esque object from the input array, rather than constructing a new one from scratch

1 files changed, 7 insertions, 5 deletions

diff --git a/numpy/lib/nanfunctions.py b/numpy/lib/nanfunctions.py
index 719c529c1..2c2c3435b 100644
--- a/numpy/lib/nanfunctions.py
+++ b/numpy/lib/nanfunctions.py
@@ -962,14 +962,16 @@ def _nanmedian1d(arr1d, overwrite_input=False):
     Private function for rank 1 arrays. Compute the median ignoring NaNs.
     See nanmedian for parameter usage
     """
-    arr1d, overwrite_input = _remove_nan_1d(arr1d,
-                                            overwrite_input=overwrite_input)
-    if arr1d.size == 0:
+    arr1d_parsed, overwrite_input = _remove_nan_1d(
+        arr1d, overwrite_input=overwrite_input,
+    )
+
+    if arr1d_parsed.size == 0:
         # Ensure that a nan-esque scalar of the appropiate type (and unit)
         # is returned for `timedelta64` and `complexfloating`
-        return np.array(np.nan).astype(arr1d.dtype, copy=False)[()]
+        return arr1d[-1]
 
-    return np.median(arr1d, overwrite_input=overwrite_input)
+    return np.median(arr1d_parsed, overwrite_input=overwrite_input)
 
 
 def _nanmedian(a, axis=None, out=None, overwrite_input=False):