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author | Charles Harris <charlesr.harris@gmail.com> | 2013-08-15 09:55:41 -0700 |
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committer | Charles Harris <charlesr.harris@gmail.com> | 2013-08-15 09:55:41 -0700 |
commit | 580a3b60abfb9fa7f9866a87dc90f7bbc6bed184 (patch) | |
tree | 80de6fa4c44726b7b146e60c02a31e94ff942cb9 /numpy | |
parent | 4d6575b9dfbd07b8d78d8d837d0f4810974f943f (diff) | |
parent | df1aa99739ce194713c11a3685b9e99ac1ee1f94 (diff) | |
download | numpy-580a3b60abfb9fa7f9866a87dc90f7bbc6bed184.tar.gz |
Merge pull request #3608 from charris/remove-1.8-diagonal-refs
DOC: Remove references to diagonal changes in 1.8.
Diffstat (limited to 'numpy')
-rw-r--r-- | numpy/core/fromnumeric.py | 4 | ||||
-rw-r--r-- | numpy/core/src/multiarray/arrayobject.c | 2 |
2 files changed, 3 insertions, 3 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index 64dfddfbb..9d7c226fc 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -1130,10 +1130,10 @@ def diagonal(a, offset=0, axis1=0, axis2=1): on this fact is deprecated. Writing to the resulting array continues to work as it used to, but a FutureWarning will be issued. - In NumPy 1.8, it will switch to returning a read-only view on the original + In NumPy 1.9, it will switch to returning a read-only view on the original array. Attempting to write to the resulting array will produce an error. - In NumPy 1.9, it will still return a view, but this view will no longer be + In NumPy 1.10, it will still return a view, but this view will no longer be marked read-only. Writing to the returned array will alter your original array as well. diff --git a/numpy/core/src/multiarray/arrayobject.c b/numpy/core/src/multiarray/arrayobject.c index 062b839aa..6db6060c9 100644 --- a/numpy/core/src/multiarray/arrayobject.c +++ b/numpy/core/src/multiarray/arrayobject.c @@ -705,7 +705,7 @@ array_might_be_written(PyArrayObject *obj) const char *msg = "Numpy has detected that you (may be) writing to an array returned\n" "by numpy.diagonal or by selecting multiple fields in a record\n" - "array. This code will likely break in the next numpy release --\n" + "array. This code will likely break in a future numpy release --\n" "see numpy.diagonal or arrays.indexing reference docs for details.\n" "The quick fix is to make an explicit copy (e.g., do\n" "arr.diagonal().copy() or arr[['f0','f1']].copy())."; |