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

numpy.mat(data, dtype=None)

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

matrix.ctypes An object to simplify the interaction of the array with the ctypes module. This attribute creates

2025-01-10 15:47:30
numpy.core.defchararray.decode()
  • References/Python/NumPy/Routines/String operations

numpy.core.defchararray.decode(a, encoding=None, errors=None)

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ndarray.flags
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.flags Information about the memory layout of the array. Notes The

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

numpy.ma.masked_object(x, value, copy=True, shrink=True)

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

chararray.nbytes Total bytes consumed by the elements of the array. Notes

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

MaskedArray.var(axis=None, dtype=None, out=None, ddof=0)

2025-01-10 15:47:30
numpy.in1d()
  • References/Python/NumPy/Routines/Set routines

numpy.in1d(ar1, ar2, assume_unique=False, invert=False)

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

numpy.polynomial.hermite.hermpow(c, pow, maxpower=16)

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chararray.expandtabs()
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.expandtabs(tabsize=8)

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