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

ndarray.__lshift__ x.__lshift__(y) <==> x<<y

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

class numpy.polynomial.polynomial.Polynomial(coef, domain=None, window=None)

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

ndarray.__long__() <==> long(x)

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

ndarray.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

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

numpy.ma.append(a, b, axis=None)

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

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

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

ndarray.__contains__ x.__contains__(y) <==> y in x

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

ndarray.__hex__() <==> hex(x)

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matrix.var()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

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

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

MaskedArray.nonzero()

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