matrix.dtype
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.dtype Data-type of the array?s elements.

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record.argsort()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.argsort() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

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record.view()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.view() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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recarray.getfield()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of

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matrix.real
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.real The real part of the array. See also

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recarray.ravel()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.ravel([order]) Return a flattened array. Refer to

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matrix.dump()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy.load

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record.squeeze()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.squeeze() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

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matrix.ndim
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.ndim Number of array dimensions. Examples >>>

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record.imag
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.imag imaginary part of scalar

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