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

numpy.ma.ones(shape, dtype=None, order='C') = Return a new array of given shape and type, filled with ones.

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numpy.matlib.rand()
  • References/Python/NumPy/Routines/Matrix library

numpy.matlib.rand(*args)

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RandomState.randn()
  • References/Python/NumPy/Routines/Random sampling

RandomState.randn(d0, d1, ..., dn) Return a sample (or samples) from the ?standard normal? distribution. If

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HermiteE.fit()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/HermiteE Module, “Probabilists’”

classmethod HermiteE.fit(x, y, deg, domain=None, rcond=None, full=False, w=None, window=None)

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

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

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numpy.polynomial.legendre.leg2poly()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Legendre Module

numpy.polynomial.legendre.leg2poly(c)

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

numpy.reshape(a, newshape, order='C')

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

Legendre.has_samedomain(other)

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numpy.packbits()
  • References/Python/NumPy/Routines/Binary operations

numpy.packbits(myarray, axis=None) Packs the elements of a binary-valued array into bits in a uint8 array. The result

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numpy.isrealobj()
  • References/Python/NumPy/Routines/Logic functions

numpy.isrealobj(x)

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