In addition to the usual bug fixes, this NumPy release cleans up and
documents the new random C-API, expires a large number of old
deprecations, and improves the appearance of the documentation. The
Python versions supported are 3.5-3.8. This is the last NumPy release
series that will support Python 3.5.
Downstream developers should use Cython >= 0.29.14 for Python 3.8
support and OpenBLAS >= 3.7 to avoid problems on the Skylake
architecture.
Highlights
The C-API for numpy.random has been defined and documented.
Basic infrastructure for linking with 64 bit BLAS and LAPACK
libraries.
Many documentation improvements.
New functions
Multivariate hypergeometric distribution added to numpy.random
The method multivariate_hypergeometric has been added to the class
numpy.random.Generator. This method generates random variates from the
multivariate hypergeometric probability distribution.
([gh-13794](https://github.com/numpy/numpy/issues/13794) <https://github.com/numpy/numpy/pull/13794>__)
Deprecations
np.fromfile and np.fromstring will error on bad data
In future numpy releases, the functions np.fromfile and
np.fromstring will throw an error when parsing bad data. This will now
give a DeprecationWarning where previously partial or even invalid
data was silently returned. This deprecation also affects the C defined
functions PyArray_FromString and PyArray_FromFile
([gh-13605](https://github.com/numpy/numpy/issues/13605) <https://github.com/numpy/numpy/pull/13605>__)
Deprecate non-scalar arrays as fill values in ma.fill_value
Setting a MaskedArray.fill_value to a non-scalar array is deprecated
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Bumps numpy from 1.15.4 to 1.18.0.
Release notes
Sourced from numpy's releases.
Commits
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