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

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

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RandomState.tomaxint()
  • References/Python/NumPy/Routines/Random sampling

RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return

2025-01-10 15:47:30
numpy.testing.decorate_methods()
  • References/Python/NumPy/Routines/Test Support

numpy.testing.decorate_methods(cls, decorator, testmatch=None)

2025-01-10 15:47:30
numpy.issubdtype()
  • References/Python/NumPy/Routines/Data type routines

numpy.issubdtype(arg1, arg2)

2025-01-10 15:47:30
numpy.unpackbits()
  • References/Python/NumPy/Routines/Binary operations

numpy.unpackbits(myarray, axis=None) Unpacks elements of a uint8 array into a binary-valued output array. Each element

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

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

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

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

2025-01-10 15:47:30
numpy.fmin()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.fmin(x1, x2[, out]) = Element-wise minimum of array elements. Compare two arrays and returns a new array containing the

2025-01-10 15:47:30
numpy.polynomial.hermite.hermval2d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermval2d(x, y, c)

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numpy.polynomial.hermite_e.hermeone
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

numpy.polynomial.hermite_e.hermeone = array([1])

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