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-rw-r--r--numpy/add_newdocs.py13
-rw-r--r--numpy/ma/core.py15
2 files changed, 17 insertions, 11 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
diff --git a/numpy/ma/core.py b/numpy/ma/core.py
index e895f8269..8f4bf9a08 100644
--- a/numpy/ma/core.py
+++ b/numpy/ma/core.py
@@ -2889,12 +2889,15 @@ class MaskedArray(ndarray):
`dtype` is an ndarray sub-class), then the fill value is preserved.
Finally, if `fill_value` is specified, but `dtype` is not, the fill
value is set to the specified value.
-
- 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.
"""
if dtype is None: