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

matrix.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

2025-01-10 15:47:30
matrix.conj()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.conj() Complex-conjugate all elements. Refer to numpy.conjugate for full documentation.

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

matrix.choose(choices, out=None, mode='raise') Use an index array to construct a new array from a set of choices. Refer

2025-01-10 15:47:30
matrix.argpartition()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this array

2025-01-10 15:47:30
recarray.byteswap()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.byteswap(inplace) Swap the bytes of the array elements Toggle between low-endian and big-endian data

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

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

2025-01-10 15:47:30
matrix.getA1()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.getA1()

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

recarray.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of

2025-01-10 15:47:30
matrix.take()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of a at the given

2025-01-10 15:47:30
numpy.recarray
  • References/Python/NumPy/Array objects/Standard array subclasses

class numpy.recarray

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