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- numpy.ma.MaskedArray.all
...Py reference NumPy’s module structure Masked array operations numpy.ma.MaskedArray.all...
- numpy.ma.MaskedArray.all (Python method, in numpy.ma.MaskedArray.all)
- Constants of the
numpy.mamodule...ill_value=999999) numpy.ma.nomask Value indicating that a masked array has no invalid entry. nomask is used internally to speed up computations when the mask is not needed. It is represented internally as np.False_. numpy.ma.maske...
- Interoperability with NumPy
...lement this API for their own uses. This includes GPU arrays (CuPy), Sparse arrays (scipy.sparse, PyData/Sparse) and parallel arrays (Dask arrays) as well as various NumPy-like implementations in deep learning frameworks, like TensorFlow an...
- NumPy 1.10.0 Release Notes
...1.10.0 Release Notes This release supports Python 2.6 - 2.7 and 3.2 - 3.5. Highlights numpy.distutils now supports parallel compilation via the –parallel/-j argument passed to setup.py build numpy.distutils now supports additional customi...
- NumPy 1.11.0 Release Notes
.... Build System Changes Numpy now uses setuptools for its builds instead of plain distutils. This fixes usage of install_requires='numpy' in the setup.py files of projects that depend on Numpy (see gh-6551). It potentially affects the w...
- NumPy 1.11.2 Release Notes
...x array too big error for wide dtypes. #7821 BUG: Make sure npy_mul_with_overflow_<type> detects overflow. #7824 MAINT: Allocate fewer bytes for empty arrays. #7847 MAINT,DOC: Fix some imp module uses and update f2py.compile docstring. #784...
- NumPy 1.12.0 Release Notes
...6. Highlights The NumPy 1.12.0 release contains a large number of fixes and improvements, but few that stand out above all others. That makes picking out the highlights somewhat arbitrary but the following may be of particular interest or...
- NumPy 1.12.1 Release Notes
...rd against replacing constants without ‘_’ spec in f2py. BUG: Fix mean for float 16 non-array inputs for 1.12 BUG: Fix calling python api with error set and minor leaks for… BUG: Make iscomplexobj compatible with custom dtypes again BUG: Fi...
- NumPy 1.13.0 Release Notes
...ng blocked arrays. New PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API. See below for details. Deprecations Calling np.fix, np.isposinf, and np.isneginf with f(x, y=out) is deprecated - the argument should be passed as f(x, out=o...
- NumPy 1.14.0 Release Notes
...ncerns the schedule for dropping Python 2.7 support in the runup to 2020. The decision has been made to support 2.7 for all releases made in 2018, with the last release being designated a long term release with support for bug fixes extendi...
- NumPy 1.14.3 Release Notes
...e 2.7 and 3.4 - 3.6. The Python 3.6 wheels available from PIP are built with Python 3.6.2 and should be compatible with all previous versions of Python 3.6. The source releases were cythonized with Cython 0.28.2. Contributors A total of 6...
- NumPy 1.14.6 Release Notes
...5 release. The most significant fixes are: Fix for behavior change in ma.masked_values(shrink=True) Fix the new cached allocations machinery to be thread safe. The Python versions supported in this release are 2.7 and 3.4 - 3.7. The Pytho...
- NumPy 1.15.0 Release Notes
...ic.loads numpy.ma.loads, numpy.ma.dumps numpy.ma.load, numpy.ma.dump - these functions already failed on python 3 when called with a string. Multidimensional indexing with anything but a tuple is deprecated. This means that the index list...
- NumPy 1.17.0 Release Notes
...NumPy 1.17.0 Release Notes This NumPy release contains a number of new features that should substantially improve its performance and usefulness, see Highlights below for a summary. The Python versions supported are 3.5-3...
- NumPy 1.18.0 Release Notes
...ll_value to a non-scalar array is deprecated since the logic to broadcast the fill value to the array is fragile, especially when slicing. (gh-13698) Deprecate PyArray_As1D, PyArray_As2D PyArray_As1D, PyArray_As2D are deprecated, use PyAr...
- NumPy 1.22.0 Release Notes
...ver 609 pull requests. There have been many improvements, highlights are: Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. Th...
- NumPy 1.23.0 Release Notes
...an alternative to numpy.ndenumerate and skips masked values by default. (gh-20020) numpy.from_dlpack has been added to allow easy exchange of data using the DLPack protocol. It accepts Python objects that implement the __dlpack__ and __dl...
- NumPy 1.24 Release Notes
...There are also a large number of new and expired deprecations due to changes in promotion and cleanups. This might be called a deprecation release. Highlights are Many new deprecations, check them out. Many expired deprecations, New F2PY...
- NumPy 1.25.0 Release Notes
...are 3.9-3.11. Deprecations np.core.MachAr is deprecated. It is private API. In names defined in np.core should generally be considered private. (gh-22638) np.finfo(None) is deprecated. (gh-23011) np.round_ is deprecated. Use np.round...
- NumPy 1.3.0 Release Notes
...rt, and several new features such as generalized ufuncs. Highlights Python 2.6 support Python 2.6 is now supported on all previously supported platforms, including windows. https://www.python.org/dev/peps/pep-0361/ Generalized ufuncs Th...
- NumPy 1.4.0 Release Notes
- NumPy 1.6.0 Release Notes
- NumPy 1.7.2 Release Notes
- NumPy 1.9.0 Release Notes
- NumPy 2.0.0 Release Notes
- NumPy 2.1.0 Release Notes
- numpy.array_repr
- numpy.average
- numpy.concat
- numpy.concatenate
- numpy.ma.all
- numpy.ma.allclose
- numpy.ma.allequal
- numpy.ma.append
- numpy.ma.arange
- numpy.ma.argsort
- numpy.ma.array
- numpy.ma.asanyarray
- numpy.ma.asarray
- numpy.ma.average
- numpy.ma.choose
- numpy.ma.clip
- numpy.ma.column_stack
- numpy.ma.common_fill_value
- numpy.ma.compress_cols
- numpy.ma.compress_nd
- numpy.ma.compress_rowcols
- numpy.ma.compress_rows
- numpy.ma.compressed
- numpy.ma.concatenate
- numpy.ma.convolve
- numpy.ma.copy
- numpy.ma.corrcoef
- numpy.ma.correlate
- numpy.ma.count
- numpy.ma.count_masked
- numpy.ma.cov
- numpy.ma.cumprod
- numpy.ma.cumsum
- numpy.ma.diff
- numpy.ma.dstack
- numpy.ma.empty
- numpy.ma.empty_like
- numpy.ma.filled
- numpy.ma.fix_invalid
- numpy.ma.flatnotmasked_edges
- numpy.ma.flatten_structured_array
- numpy.ma.frombuffer
- numpy.ma.fromflex
- numpy.ma.fromfunction
- numpy.ma.getdata
- numpy.ma.getmask
- numpy.ma.getmaskarray
- numpy.ma.harden_mask
- numpy.ma.hstack
- numpy.ma.identity
- numpy.ma.indices
- numpy.ma.is_mask
- numpy.ma.is_masked
- numpy.ma.isarray
- numpy.ma.isMA
- numpy.ma.isMaskedArray
- numpy.ma.make_mask
- numpy.ma.make_mask_descr
- numpy.ma.make_mask_none
- numpy.ma.mask_or
- numpy.ma.mask_rowcols
- numpy.ma.masked_all
- numpy.ma.masked_all_like
- numpy.ma.masked_array
- numpy.ma.masked_array.all
- numpy.ma.masked_array.argsort
- numpy.ma.masked_array.astype
- numpy.ma.masked_array.compress
- numpy.ma.masked_array.compressed
- numpy.ma.masked_array.conj
- numpy.ma.masked_array.copy
- numpy.ma.masked_array.count
- numpy.ma.masked_array.cumprod
- numpy.ma.masked_array.cumsum
- numpy.ma.masked_array.fill
- numpy.ma.masked_array.filled
- numpy.ma.masked_array.flags
- numpy.ma.masked_array.get_imag
- numpy.ma.masked_array.get_real
- numpy.ma.masked_array.harden_mask
- numpy.ma.masked_array.hardmask
- numpy.ma.masked_array.imag
- numpy.ma.masked_array.max
- numpy.ma.masked_array.min
- numpy.ma.masked_array.mT
- numpy.ma.masked_array.partition
- numpy.ma.masked_array.ptp
- numpy.ma.masked_array.ravel