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• numpy.ma.masked_array.copy

  ...b[2][0] = 10 >>> a array([1, 'm', list([10, 3, 4])], dtype=object) To ensure all elements within an object array are copied, use copy.deepcopy: >>> import copy >>> a = np.array([1, 'm', [2, 3, 4]], dtype=object) >>> c = copy.deepcopy(a)...

• numpy.ma.masked_array.copy (Python method, in numpy.ma.masked_array.copy)
• Constants of the numpy.ma module
• Interoperability with NumPy
• NumPy 1.10.2 Release Notes
• NumPy 1.11.0 Release Notes
• NumPy 1.12.0 Release Notes
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• NumPy 1.7.2 Release Notes
• NumPy 1.9.0 Release Notes
• NumPy 2.0.0 Release Notes
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• numpy.concat
• numpy.concatenate
• 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.atleast_1d
• numpy.ma.atleast_2d
• numpy.ma.atleast_3d
• numpy.ma.average
• numpy.ma.choose
• numpy.ma.clump_masked
• numpy.ma.clump_unmasked
• 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.ediff1d
• numpy.ma.fix_invalid
• numpy.ma.frombuffer
• numpy.ma.fromflex
• numpy.ma.getdata