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

MaskedArray.resize(newshape, refcheck=True, order=False)

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numpy.frombuffer()
  • References/Python/NumPy/Routines/Array creation routines

numpy.frombuffer(buffer, dtype=float, count=-1, offset=0) Interpret a buffer as a 1-dimensional array.

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

numpy.polynomial.hermite_e.hermetrim(c, tol=0)

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numpy.random.randint()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.randint(low, high=None, size=None, dtype='l') Return random integers from low (inclusive) to

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numpy.fft.irfft()
  • References/Python/NumPy/Routines/Discrete Fourier Transform

numpy.fft.irfft(a, n=None, axis=-1, norm=None)

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

numpy.choose(a, choices, out=None, mode='raise')

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numpy.matmul()
  • References/Python/NumPy/Routines/Linear algebra

numpy.matmul(a, b, out=None) Matrix product of two arrays. The behavior depends on the arguments in the following way.

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chararray.flags
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.flags Information about the memory layout of the array. Notes

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

numpy.polynomial.hermite_e.hermeint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

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

numpy.flipud(m)

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