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| author | Travis E. Oliphant <teoliphant@gmail.com> | 2012-10-19 23:08:41 -0500 |
|---|---|---|
| committer | Travis E. Oliphant <teoliphant@gmail.com> | 2012-10-19 23:08:41 -0500 |
| commit | 1895b157062beecbc68a0459db0d5280153e698a (patch) | |
| tree | 928eee5c88b934e56f4f9488adf85bd4a1614ff8 | |
| parent | 184c8d05120855012250fbc1d7f5f0991bec3eb4 (diff) | |
| download | numpy-1895b157062beecbc68a0459db0d5280153e698a.tar.gz | |
FIX: Update release notes.
| -rw-r--r-- | doc/release/1.8.0-notes.rst | 13 |
1 files changed, 10 insertions, 3 deletions
diff --git a/doc/release/1.8.0-notes.rst b/doc/release/1.8.0-notes.rst index 288b68865..3422622b3 100644 --- a/doc/release/1.8.0-notes.rst +++ b/doc/release/1.8.0-notes.rst @@ -15,6 +15,12 @@ a view onto the original array, instead of producing a copy. selecting multiple fields out of an array also produces a view. +The hash function of numpy.void scalars has been changed. +Previously the pointer to the data was hashed as an integer. +Now, the hash function uses the tuple-hash algorithm to combine +the hash functions of the elements of the scalar, but only if +the scalar is read-only. + New features ============ @@ -25,9 +31,10 @@ Preliminary support for NA missing values similar to those in R has been implemented. This was done by adding an NA mask to an array sub-type .. note:: The NA API is *experimental*, and may undergo changes in future - versions of NumPy. The current implementation based on masks will likely be - supplemented by a second one based on bit-patterns, and it is possible that - a difference will be made between missing and ignored data. + versions of NumPy. The current implementation based on masks will + likely be supplemented by a second one based on bit-patterns, and it + is possible that a difference will be made between missing and + ignored data. While a significant amount of the NumPy functionality has been extended to support NA masks, not everything is yet supported. Here is an (incomplete) |