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

matrix.prod(axis=None, dtype=None, out=None)

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

ndarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast to a specified type.

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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

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

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

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

MaskedArray.product(axis=None, dtype=None, out=None)

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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

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

matrix.getA()

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generic.reshape()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

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

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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

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