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

RandomState.bytes(length) Return random bytes.

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

numpy.polynomial.hermite.hermroots(c)

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

numpy.random.power(a, size=None) Draws samples in [0, 1] from a power distribution with positive exponent a - 1. Also

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MaskedArray.cumsum()
  • References/Python/NumPy/Routines/Masked array operations

MaskedArray.cumsum(axis=None, dtype=None, out=None)

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

numpy.random.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode = 0. Also

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chararray.imag
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.imag The imaginary part of the array. Examples

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ndindex.ndincr()
  • References/Python/NumPy/Routines/Indexing routines/numpy.ndindex

ndindex.ndincr()

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numpy.polynomial.laguerre.lagdiv()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lagdiv(c1, c2)

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

numpy.result_type(*arrays_and_dtypes) Returns the type that results from applying the NumPy type promotion rules to the arguments

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chararray.real
  • References/Python/NumPy/Routines/String operations/numpy.core.defchararray.chararray

chararray.real The real part of the array. See

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