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| author | Mark Wiebe <mwwiebe@gmail.com> | 2011-08-16 16:54:16 -0700 |
|---|---|---|
| committer | Charles Harris <charlesr.harris@gmail.com> | 2011-08-27 07:26:55 -0600 |
| commit | 9194b3af704df71aa9b1ff2f53f169848d0f9dc7 (patch) | |
| tree | 1e6624032156dfa190e1adba79cc76e5700f19ce /doc/release/2.0.0-notes.rst | |
| parent | 99a21efff4b1f2292dc370c7c9c7c58f10385f2a (diff) | |
| download | numpy-9194b3af704df71aa9b1ff2f53f169848d0f9dc7.tar.gz | |
ENH: missingdata: Rewrite PyArray_Concatenate to work with NA masks
It should also have less memory usage for heterogeneous inputs,
because it no longer makes extra copies in that case.
Diffstat (limited to 'doc/release/2.0.0-notes.rst')
| -rw-r--r-- | doc/release/2.0.0-notes.rst | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/doc/release/2.0.0-notes.rst b/doc/release/2.0.0-notes.rst index d5aa99639..ddedf85de 100644 --- a/doc/release/2.0.0-notes.rst +++ b/doc/release/2.0.0-notes.rst @@ -29,9 +29,12 @@ What works with NA: * Array methods: + ndarray.clip, ndarray.min, ndarray.max, ndarray.sum, ndarray.prod, ndarray.conjugate, ndarray.diagonal + + numpy.concatenate What doesn't work with NA: * Fancy indexing, such as with lists and partial boolean masks. + * ndarray.flat and any other methods that use the old iterator + mechanism instead of the newer nditer. * UFunc.reduce of multi-dimensional arrays, with skipna=True and a ufunc that doesn't have an identity. * UFunc.accumulate, UFunc.reduceat. |