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- numpy.ma.masked_array.all
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- numpy.ma.masked_array.all (Python method, in numpy.ma.masked_array.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 1.12.0 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 1.13.0 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 1.18.0 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 1.6.0 Release Notes
...umpy.f2py F2py now supports wrapping Fortran 90 routines that use assumed shape arrays. Before such routines could be called from Python but the corresponding Fortran routines received assumed shape arrays as zero length arrays which cause...
- NumPy 1.9.0 Release Notes
...d 3.2 - 3.4. Highlights Numerous performance improvements in various areas, most notably indexing and operations on small arrays are significantly faster. Indexing operations now also release the GIL. Addition of nanmedian and nanpercenti...
- NumPy 2.0.0 Release Notes
...e and a new numpy.strings namespace with performant ufuncs for string operations, Support for float32 and longdouble in all numpy.fft functions, Support for the array API standard in the main numpy namespace. Performance improvements: So...
- NumPy 2.1.0 Release Notes
...to integers with no warning about loss of precision. (gh-27076) Expired deprecations Scalars and 0D arrays are disallowed for numpy.nonzero and numpy.ndarray.nonzero. (gh-26268) set_string_function internal function was removed and P...
- numpy.average
...None or int or tuple of ints, optionalAxis or axes along which to average a. The default, axis=None, will average over all of the elements of the input array. If axis is negative it counts from the last to the first axis. If axis is a tupl...
- numpy.concat
- numpy.concatenate
- numpy.ma.all
- numpy.ma.allclose
- numpy.ma.allequal
- numpy.ma.anom
- numpy.ma.anomalies
- numpy.ma.append
- numpy.ma.apply_over_axes
- numpy.ma.argmin
- numpy.ma.argsort
- numpy.ma.array
- numpy.ma.asanyarray
- numpy.ma.asarray
- numpy.ma.average
- numpy.ma.choose
- numpy.ma.clip
- numpy.ma.clump_masked
- numpy.ma.clump_unmasked
- numpy.ma.column_stack
- numpy.ma.compress_nd
- numpy.ma.compress_rowcols
- numpy.ma.compressed
- numpy.ma.concatenate
- numpy.ma.copy
- numpy.ma.corrcoef
- numpy.ma.correlate
- numpy.ma.count
- numpy.ma.count_masked
- numpy.ma.cov
- numpy.ma.cumsum
- numpy.ma.diag
- numpy.ma.diff
- numpy.ma.dot
- numpy.ma.dstack
- numpy.ma.ediff1d
- numpy.ma.fix_invalid
- numpy.ma.flatnotmasked_edges
- numpy.ma.flatten_structured_array
- numpy.ma.frombuffer
- numpy.ma.fromflex
- numpy.ma.getdata
- numpy.ma.getmask
- numpy.ma.getmaskarray
- numpy.ma.hstack
- numpy.ma.identity
- numpy.ma.in1d
- numpy.ma.intersect1d
- numpy.ma.is_mask
- numpy.ma.is_masked
- numpy.ma.isarray
- numpy.ma.isin
- numpy.ma.isMA
- numpy.ma.isMaskedArray
- numpy.ma.left_shift
- numpy.ma.make_mask
- numpy.ma.make_mask_descr
- numpy.ma.make_mask_none
- numpy.ma.mask_cols
- numpy.ma.mask_or
- numpy.ma.mask_rowcols
- numpy.ma.mask_rows
- numpy.ma.masked_all
- numpy.ma.masked_all_like
- numpy.ma.masked_array
- numpy.ma.masked_array.all
- numpy.ma.masked_array.anom
- numpy.ma.masked_array.any
- numpy.ma.masked_array.argmax
- numpy.ma.masked_array.argmin
- numpy.ma.masked_array.argpartition
- numpy.ma.masked_array.argsort
- numpy.ma.masked_array.astype
- numpy.ma.masked_array.base