numpy.polynomial.polynomial.polyvander2d()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Polynomial Module

numpy.polynomial.polynomial.polyvander2d(x, y, deg)

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

Polynomial.degree()

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

numpy.ldexp(x1, x2[, out]) = Returns x1 * 2**x2, element-wise. The mantissas x1 and twos exponents x2

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

MaskedArray.ptp(axis=None, out=None, fill_value=None)

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ndarray.round()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

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MaskedArray.flags
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

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

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

numpy.arccosh(x[, out]) = Inverse hyperbolic cosine, element-wise.

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MaskedArray.nbytes
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.nbytes Total bytes consumed by the elements of the array. Notes Does

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ndarray.item()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.item(*args) Copy an element of an array to a standard Python scalar and return it.

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

ndarray.base Base object if memory is from some other object. Examples The base of an array

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