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

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

2025-01-10 15:47:30
numpy.ma.is_mask()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.is_mask(m)

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

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

2025-01-10 15:47:30
numpy.polynomial.legendre.legline()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legline(off, scl)

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numpy.polynomial.laguerre.lagline()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagline(off, scl)

2025-01-10 15:47:30
numpy.polynomial.hermite_e.hermevander3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermevander3d(x, y, z, deg)

2025-01-10 15:47:30
numpy.polynomial.chebyshev.chebadd()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

numpy.polynomial.chebyshev.chebadd(c1, c2)

2025-01-10 15:47:30
ndarray.cumsum()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

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

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

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

recarray.nonzero() Return the indices of the elements that are non-zero. Refer to

2025-01-10 15:47:30