BUG: ensure linspace works on object input.

As it was, the difference between stop and start was calculated and
it was assumed that that would be a numpy scalar or array. This is
not true for object input.

1 files changed, 2 insertions, 2 deletions

diff --git a/numpy/core/function_base.py b/numpy/core/function_base.py
index f8800b83e..296213823 100644
--- a/numpy/core/function_base.py
+++ b/numpy/core/function_base.py
@@ -6,7 +6,7 @@ import operator
 
 from . import numeric as _nx
 from .numeric import (result_type, NaN, shares_memory, MAY_SHARE_BOUNDS,
-                      TooHardError, asanyarray)
+                      TooHardError, asanyarray, ndim)
 from numpy.core.multiarray import add_docstring
 from numpy.core import overrides
 
@@ -140,7 +140,7 @@ def linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None,
         dtype = dt
 
     delta = stop - start
-    y = _nx.arange(0, num, dtype=dt).reshape((-1,) + (1,) * delta.ndim)
+    y = _nx.arange(0, num, dtype=dt).reshape((-1,) + (1,) * ndim(delta))
     # In-place multiplication y *= delta/div is faster, but prevents the multiplicant
     # from overriding what class is produced, and thus prevents, e.g. use of Quantities,
     # see gh-7142. Hence, we multiply in place only for standard scalar types.