DOC -- add another paragraph note to ndarray.view docs (cont'd)

More detail: Views are only sensitive to under-the-hood storage when
the dtype storage size has changed.

1 files changed, 8 insertions, 5 deletions

diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py
index d1f6b3285..6be001f70 100644
--- a/numpy/add_newdocs.py
+++ b/numpy/add_newdocs.py
@@ -4460,11 +4460,14 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('view',
     (same shape, dtype, etc.)  This does not cause a reinterpretation of the
     memory.
 
-    In cases when ``a.view(some_dtype)`` causes a reinterpretation of the
-    bytes of memory, its behavior cannot necessarily be predicted just from
-    the superficial appearance of ``a`` (shown by ``print(a)``). If ``a`` is
-    C-ordered versus fortran-ordered, versus defined as a transpose, versus
-    defined as a slice, etc., the view may give different results.
+    For ``a.view(some_dtype)``, if ``some_dtype`` has a different number of
+    bytes per entry than the previous dtype (for example, converting a
+    regular array to a structured array), then the behavior of the view
+    cannot be predicted just from the superficial appearance of ``a`` (shown
+    by ``print(a)``). It also depends on exactly how ``a`` is stored in
+    memory. Therefore if ``a`` is C-ordered versus fortran-ordered, versus
+    defined as a slice or transpose, etc., the view may give different
+    results.
 
 
     Examples