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

numpy.ma.corrcoef(x, y=None, rowvar=True, bias=, allow_masked=True, ddof=)

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Mathematical functions with automatic domain (numpy.emath)
  • References/Python/NumPy/Routines

Note numpy.emath is a preferred alias for

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

Legendre.copy()

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

Legendre.truncate(size)

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

numpy.ma.getmask(a)

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broadcast.shape
  • References/Python/NumPy/Routines/Array manipulation routines/numpy.broadcast

broadcast.shape Shape of broadcasted result. Examples

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numpy.core.records.fromrecords()
  • References/Python/NumPy/Routines/Array creation routines

numpy.core.records.fromrecords(recList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)

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

Legendre.has_samewindow(other)

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

classmethod Laguerre.fromroots(roots, domain=[], window=None)

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

RandomState.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution

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