numpy.obj2sctype()
  • References/Python/NumPy/Routines/Data type routines

numpy.obj2sctype(rep, default=None)

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

RandomState.get_state() Return a tuple representing the internal state of the generator. For more details

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

RandomState.shuffle(x) Modify a sequence in-place by shuffling its contents.

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numpy.linalg.slogdet()
  • References/Python/NumPy/Routines/Linear algebra

numpy.linalg.slogdet(a)

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

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

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nditer.reset()
  • References/Python/NumPy/Routines/Indexing routines/numpy.nditer

nditer.reset() Reset the iterator to its initial state.

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

numpy.polynomial.polynomial.polypow(c, pow, maxpower=None)

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

numpy.matlib.ones(shape, dtype=None, order='C')

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numpy.percentile()
  • References/Python/NumPy/Routines/Statistics

numpy.percentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

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poly1d.integ()
  • References/Python/NumPy/Routines/Polynomials/Poly1d/numpy.poly1d

poly1d.integ(m=1, k=0)

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