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-rw-r--r--numpy/core/_add_newdocs.py19
1 files changed, 19 insertions, 0 deletions
diff --git a/numpy/core/_add_newdocs.py b/numpy/core/_add_newdocs.py
index 759801ccc..dcec768f0 100644
--- a/numpy/core/_add_newdocs.py
+++ b/numpy/core/_add_newdocs.py
@@ -2392,6 +2392,12 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('dtype',
"""
Data-type of the array's elements.
+ .. warning::
+
+ Setting ``arr.dtype`` is discouraged and may be deprecated in the
+ future. Setting will replace the ``dtype`` without modifying the
+ memory (see also `ndarray.view` and `ndarray.astype`).
+
Parameters
----------
None
@@ -2402,6 +2408,8 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('dtype',
See Also
--------
+ ndarray.astype : Cast the values contained in the array to a new data-type.
+ ndarray.view : Create a view of the same data but a different data-type.
numpy.dtype
Examples
@@ -2627,6 +2635,11 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('shape',
the array and the remaining dimensions. Reshaping an array in-place will
fail if a copy is required.
+ .. warning::
+
+ Setting ``arr.shape`` is discouraged and may be deprecated in the
+ future. Using `ndarray.reshape` is the preferred approach.
+
Examples
--------
>>> x = np.array([1, 2, 3, 4])
@@ -2697,6 +2710,12 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('strides',
A more detailed explanation of strides can be found in the
"ndarray.rst" file in the NumPy reference guide.
+ .. warning::
+
+ Setting ``arr.strides`` is discouraged and may be deprecated in the
+ future. `numpy.lib.stride_tricks.as_strided` should be preferred
+ to create a new view of the same data in a safer way.
+
Notes
-----
Imagine an array of 32-bit integers (each 4 bytes)::