numpy.random.beta()
  • References/Python/NumPy/Routines/Random sampling

numpy.random.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special case

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

Laguerre.copy()

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

numpy.ma.masked_less_equal(x, value, copy=True)

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

Legendre.truncate(size)

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numpy.restoredot()
  • References/Python/NumPy/Routines/Miscellaneous routines

numpy.restoredot()

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

chararray.view(dtype=None, type=None) New view of array with the same data.

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

numpy.ma.make_mask_descr(ndtype)

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

Polynomial.degree()

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

numpy.ma.diag(v, k=0)

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