MaskedArray.set_fill_value()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.set_fill_value(value=None)

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numpy.geterrcall()
  • References/Python/NumPy/Routines/Floating point error handling

numpy.geterrcall()

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numpy.add()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.add(x1, x2[, out]) = Add arguments element-wise.

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numpy.polynomial.hermite.hermval()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Hermite Module, “Physicists’”

numpy.polynomial.hermite.hermval(x, c, tensor=True)

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Chebyshev.fromroots()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Chebyshev Module

classmethod Chebyshev.fromroots(roots, domain=[], window=None)

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numpy.append()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.append(arr, values, axis=None)

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numpy.ma.mean()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.mean(self, axis=None, dtype=None, out=None) = Returns the average of the array elements. Masked entries are ignored

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numpy.tril_indices()
  • References/Python/NumPy/Routines/Indexing routines

numpy.tril_indices(n, k=0, m=None)

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

RandomState.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution

2025-01-10 15:47:30
numpy.split()
  • References/Python/NumPy/Routines/Array manipulation routines

numpy.split(ary, indices_or_sections, axis=0)

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