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- numpy.ma.polyfit
...NumPy reference NumPy’s module structure Masked array operations numpy.ma.polyfit...
- numpy.ma.polyfit (Python function, in numpy.ma.polyfit)
- Constants of the
numpy.ma
module...NumPy reference Array objects Masked arrays Constants of the numpy.ma module...
- Interoperability with NumPy
...ll as various NumPy-like implementations in deep learning frameworks, like TensorFlow and PyTorch. Similarly, there are many projects that build on top of the NumPy API for labeled and indexed arrays (XArray), automatic differentiation (JAX...
- NumPy 1.10.0 Release Notes
...gs. Addition of np.linalg.multi_dot: compute the dot product of two or more arrays in a single function call, while automatically selecting the fastest evaluation order. The new function np.stack provides a general interface for joining a s...
- NumPy 1.10.2 Release Notes
...is_fortran(a), that was using PyArray_ISFORTRAN to check for Fortran contiguity instead of PyArray_IS_F_CONTIGUOUS. You may want to regenerate swigged files using the updated numpy.i Deprecate views changing dimensions in fortran order Th...
- NumPy 1.10.4 Release Notes
...dows binaries. Compatibility notes The trace function now calls the trace method on subclasses of ndarray, except for matrix, for which the current behavior is preserved. This is to help with the units package of AstroPy and hopefully wil...
- NumPy 1.11.0 Release Notes
...2 - 3.5 and contains a number of enhancements and improvements. Note also the build system changes listed below as they may have subtle effects. No Windows (TM) binaries are provided for this release due to a broken toolchain. One of the pr...
- NumPy 1.11.1 Release Notes
...several build related improvements. Wheels for Linux, Windows, and OSX can be found on PyPI. Fixes Merged #7506 BUG: Make sure numpy imports on python 2.6 when nose is unavailable. #7530 BUG: Floating exception with invalid axis in np.le...
- NumPy 1.11.2 Release Notes
...ound on PyPI. Pull Requests Merged Fixes overridden by later merges and release notes updates are omitted. #7736 BUG: Many functions silently drop ‘keepdims’ kwarg. #7738 ENH: Add extra kwargs and update doc of many MA methods. #7778 DOC:...
- NumPy 1.12.0 Release Notes
...e 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 indicate areas li...
- NumPy 1.12.1 Release Notes
...and OSX can be found on PyPI, Bugs Fixed BUG: Fix wrong future nat warning and equiv type logic error… BUG: Fix wrong masked median for some special cases DOC: Place np.average in inline code TST: Work around isfinite inconsistency on i38...
- NumPy 1.13.0 Release Notes
...viside function. New np.isin function, improves on in1d. New np.block function for creating blocked arrays. New PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API. See below for details. Deprecations Calling np.fix, np.isposinf, and...
- NumPy 1.14.0 Release Notes
- NumPy 1.14.3 Release Notes
...lease. People with a “+” by their names contributed a patch for the first time. Allan Haldane Charles Harris Jonathan March + Malcolm Smith + Matti Picus Pauli Virtanen Pull requests merged A total of 8 pull requests were merged for th...
- NumPy 1.14.6 Release Notes
...fix release for bugs reported following the 1.14.5 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...
- NumPy 1.15.0 Release Notes
- NumPy 1.16.0 Release Notes
- NumPy 1.18.0 Release Notes
- NumPy 1.20.2 Release Notes
- NumPy 1.22.0 Release Notes
- NumPy 1.23.0 Release Notes
- NumPy 1.24 Release Notes
- NumPy 1.24.1 Release Notes
- NumPy 1.25.0 Release Notes
- NumPy 1.5.0 Release Notes
- NumPy 1.6.0 Release Notes
- NumPy 1.7.2 Release Notes
- NumPy 1.9.0 Release Notes
- NumPy 1.9.2 Release Notes
- NumPy 2.0.0 Release Notes
- NumPy 2.0.1 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.amax
- numpy.ma.amin
- numpy.ma.anom
- numpy.ma.anomalies
- numpy.ma.any
- numpy.ma.append
- numpy.ma.apply_along_axis
- numpy.ma.apply_over_axes
- numpy.ma.arange
- numpy.ma.argmax
- numpy.ma.argmin
- numpy.ma.argsort
- numpy.ma.around
- numpy.ma.array
- numpy.ma.asanyarray
- numpy.ma.asarray
- numpy.ma.atleast_1d
- numpy.ma.atleast_2d
- numpy.ma.atleast_3d
- numpy.ma.average
- numpy.ma.choose
- numpy.ma.clip
- numpy.ma.clump_masked
- numpy.ma.clump_unmasked
- 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.conjugate
- 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.default_fill_value
- numpy.ma.diag
- numpy.ma.diagflat
- numpy.ma.diff
- numpy.ma.dot
- numpy.ma.dstack
- numpy.ma.ediff1d
- numpy.ma.empty
- numpy.ma.empty_like
- numpy.ma.expand_dims
- numpy.ma.filled
- numpy.ma.fix_invalid
- numpy.ma.flatnotmasked_contiguous
- numpy.ma.flatnotmasked_edges
- numpy.ma.flatten_mask