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• numpy.ma.MaskedArray.dtype

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

• numpy.ma.MaskedArray.dtype (Python property, in numpy.ma.MaskedArray.dtype)
• Constants of the numpy.ma module

  ...a.array([(1, 1), (2, 2), (3, 3), (4, 4), (5, 5)], ... mask=[(0, 0), (1, 0), (1, 1), (0, 1), (0, 0)], ... dtype=[('a', int), ('b', int)]) >>> x.recordmask array([False, False, True, False, False]) ma.MaskedArray.fill_va...

• Interoperability with NumPy
• NumPy 1.10.0 Release Notes
• NumPy 1.10.2 Release Notes

  ...s Relaxed stride checking is no longer the default There were back compatibility problems involving views changing the dtype of multidimensional Fortran arrays that need to be dealt with over a longer timeframe. Fix swig bug in numpy.i R...

• NumPy 1.11.0 Release Notes

  ...r best bet. Highlights Details of these improvements can be found below. The datetime64 type is now timezone naive. A dtype parameter has been added to randint. Improved detection of two arrays possibly sharing memory. Automatic bin size...

• NumPy 1.11.2 Release Notes

  ...lease notes. #7793 BUG: MaskedArray.count treats negative axes incorrectly. #7816 BUG: Fix 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...

• NumPy 1.12.0 Release Notes

  ...rvening fields in the original array, unlike the copy in 1.12, which will affect code such as arr[['f1', 'f3']].view(newdtype). Second, for numpy versions 1.6 to 1.12 assignment between structured arrays occurs “by field name”: Fields in th...

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• numpy.array_repr
• numpy.average
• numpy.concat
• numpy.concatenate
• numpy.ma.anom
• numpy.ma.anomalies
• 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.common_fill_value