ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__str__() <==> str(x)

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

record.getfield()

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ndarray.repeat()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.repeat(repeats, axis=None) Repeat elements of an array. Refer to

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__lshift__ x.__lshift__(y) <==> x<<y

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

matrix.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer to

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generic.data
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.data pointer to start of data

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generic.
  • References/Python/NumPy/Array objects/Scalars

generic.__reduce__()

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

matrix.conjugate() Return the complex conjugate, element-wise. Refer to numpy.conjugate for full documentation

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

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

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

class numpy.record

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