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

ndarray.__ne__ x.__ne__(y) <==> x!=y

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

numpy.subtract(x1, x2[, out]) = Subtract arguments, element-wise.

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

classmethod Polynomial.cast(series, domain=None, window=None)

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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.ma.mr_
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib

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NpyIter
  • References/Python/NumPy/NumPy C-API

New in version 1.6. Array Iterator The array iterator encapsulates many

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

chararray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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

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

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

numpy.eye(N, M=None, k=0, dtype=)

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