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=========================
NumPy 2.0.0 Release Notes
=========================
[Possibly 1.7.0 release notes, as ABI compatibility is still being maintained]
Highlights
==========
New features
============
Support for NA missing values similar to those in R has been implemented.
This was done by adding optional NA masks to the core array object.
Support for NA is not complete, here is a list of the things that do and
do not work with NA values:
What works with NA:
* Basic indexing and slicing, as well as full boolean mask indexing.
* All element-wise ufuncs.
* UFunc.reduce methods, with a new skipna parameter.
* Array methods:
+ ndarray.clip
+ ndarray.conjugate,
What doesn't work with NA:
* Fancy indexing, such as with lists and partial boolean masks.
* UFunc.reduce of multi-dimensional arrays, with skipna=True and a ufunc
that doesn't have an identity.
* UFunc.accumulate, UFunc.reduceat.
* np.logical_and, np.logical_or, np.all, and np.any don't satisfy the
rules NA | True == True and NA & False == False yet.
* Array methods:
+ ndarray.argmax, ndarray.argmin,
Custom formatter for printing arrays
------------------------------------
Changes
=======
Deprecations
============
Specifying a custom string formatter with a `_format` array attribute is
deprecated. The new `formatter` keyword in ``numpy.set_printoptions`` or
``numpy.array2string`` can be used instead.
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