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• numpy.ma.MaskedArray.__float__

  ...Array objects Masked arrays Constants of the numpy.ma module numpy.ma.MaskedArray.__float__...

• numpy.ma.MaskedArray.__float__ (Python method, in numpy.ma.MaskedArray.__float__)
• Constants of the numpy.ma module

  ...o value. MaskedArray.__array_priority__ MaskedArray methods See also Array methods Conversion MaskedArray.__float__() Convert to float. MaskedArray.__int__() Convert to int. MaskedArray.view([dtype, type, fill_value]) Return...

• 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 1.11.0 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 1.11.2 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 1.12.1 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
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• NumPy 1.6.0 Release Notes
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• NumPy 1.9.0 Release Notes
• NumPy 2.0.0 Release Notes
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• numpy.array_repr
• numpy.concat
• numpy.concatenate
• numpy.ma.append
• numpy.ma.arange
• numpy.ma.argsort
• numpy.ma.array
• numpy.ma.asanyarray
• numpy.ma.asarray
• numpy.ma.average
• numpy.ma.clip
• 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.correlate
• numpy.ma.count_masked
• numpy.ma.cumprod
• numpy.ma.cumsum
• numpy.ma.diff
• numpy.ma.empty
• numpy.ma.empty_like
• numpy.ma.filled
• numpy.ma.fix_invalid
• numpy.ma.flatnotmasked_edges
• numpy.ma.frombuffer
• numpy.ma.fromflex
• numpy.ma.fromfunction
• numpy.ma.getdata
• numpy.ma.getmask
• numpy.ma.getmaskarray
• numpy.ma.harden_mask
• 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.mask_rowcols
• numpy.ma.masked_all
• numpy.ma.masked_all_like
• numpy.ma.masked_array
• numpy.ma.masked_array.argsort
• numpy.ma.masked_array.compress
• numpy.ma.masked_array.compressed
• numpy.ma.masked_array.cumprod
• numpy.ma.masked_array.cumsum
• numpy.ma.masked_array.filled
• 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.mT
• numpy.ma.masked_array.ptp
• numpy.ma.masked_array.ravel
• numpy.ma.masked_array.real
• numpy.ma.masked_array.soften_mask
• numpy.ma.masked_array.take
• numpy.ma.masked_array.tobytes
• numpy.ma.masked_array.view
• numpy.ma.masked_equal
• numpy.ma.masked_object
• numpy.ma.masked_values
• numpy.ma.masked_where
• numpy.ma.MaskedArray.__abs__
• numpy.ma.MaskedArray.__add__
• numpy.ma.MaskedArray.__and__
• numpy.ma.MaskedArray.__array__
• numpy.ma.MaskedArray.__array_priority__
• numpy.ma.MaskedArray.__array_wrap__
• numpy.ma.MaskedArray.__bool__
• numpy.ma.MaskedArray.__contains__
• numpy.ma.MaskedArray.__copy__
• numpy.ma.MaskedArray.__deepcopy__
• numpy.ma.MaskedArray.__delitem__
• numpy.ma.MaskedArray.__div__
• numpy.ma.MaskedArray.__divmod__
• numpy.ma.MaskedArray.__eq__
• numpy.ma.MaskedArray.__float__
• numpy.ma.MaskedArray.__floordiv__
• numpy.ma.MaskedArray.__ge__
• numpy.ma.MaskedArray.__getitem__
• numpy.ma.MaskedArray.__getstate__
• numpy.ma.MaskedArray.__gt__
• numpy.ma.MaskedArray.__iadd__
• numpy.ma.MaskedArray.__iand__
• numpy.ma.MaskedArray.__idiv__
• numpy.ma.MaskedArray.__ifloordiv__
• numpy.ma.MaskedArray.__ilshift__
• numpy.ma.MaskedArray.__imod__
• numpy.ma.MaskedArray.__imul__
• numpy.ma.MaskedArray.__int__
• numpy.ma.MaskedArray.__ior__
• numpy.ma.MaskedArray.__ipow__
• numpy.ma.MaskedArray.__irshift__
• numpy.ma.MaskedArray.__isub__
• numpy.ma.MaskedArray.__itruediv__
• numpy.ma.MaskedArray.__ixor__
• numpy.ma.MaskedArray.__le__
• numpy.ma.MaskedArray.__len__
• numpy.ma.MaskedArray.__lshift__
• numpy.ma.MaskedArray.__lt__
• numpy.ma.MaskedArray.__mod__
• numpy.ma.MaskedArray.__mul__
• numpy.ma.MaskedArray.__ne__
• numpy.ma.MaskedArray.__new__
• numpy.ma.MaskedArray.__or__
• numpy.ma.MaskedArray.__pow__
• numpy.ma.MaskedArray.__radd__
• numpy.ma.MaskedArray.__rand__
• numpy.ma.MaskedArray.__rdivmod__
• numpy.ma.MaskedArray.__reduce__