numpy.polynomial.legendre.legval()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.legval(x, c, tensor=True)

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

numpy.bitwise_xor(x1, x2[, out]) = Compute the bit-wise XOR of two arrays element-wise. Computes the bit-wise XOR of

2025-01-10 15:47:30
ndarray.tolist()
  • References/Python/NumPy/Routines/Input and output

ndarray.tolist() Return the array as a (possibly nested) list. Return a copy of the array data as a (nested) Python

2025-01-10 15:47:30
Logic functions
  • References/Python/NumPy/Routines

Truth value testing

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numpy.polynomial.polynomial.polymul()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polymul(c1, c2)

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

classmethod Hermite.cast(series, domain=None, window=None)

2025-01-10 15:47:30
numpy.array2string()
  • References/Python/NumPy/Routines/Input and output

numpy.array2string(a, max_line_width=None, precision=None, suppress_small=None, separator=' ', prefix='', style=, formatter=None)

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

HermiteE.trim(tol=0)

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numpy.polynomial.laguerre.lagval3d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagval3d(x, y, z, c)

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

numpy.floor(x[, out]) = Return the floor of the input, element-wise. The floor of the scalar x is the largest

2025-01-10 15:47:30