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

numpy.random.standard_exponential(size=None) Draw samples from the standard exponential distribution.

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numpy.argwhere()
  • References/Python/NumPy/Routines/Sorting, searching, and counting

numpy.argwhere(a)

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

numpy.random.hypergeometric(ngood, nbad, nsample, size=None) Draw samples from a Hypergeometric distribution.

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numpy.s_
  • References/Python/NumPy/Routines/Indexing routines

numpy.s_ = A nicer way to build up index tuples for arrays. Note

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numpy.nansum()
  • References/Python/NumPy/Routines/Mathematical functions

numpy.nansum(a, axis=None, dtype=None, out=None, keepdims=0)

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

chararray.rstrip(chars=None)

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

chararray.title()

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

numpy.ma.compress_cols(a)

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numpy.polynomial.laguerre.lag2poly()
  • References/Python/NumPy/Routines/Polynomials/Polynomial Package/Laguerre Module

numpy.polynomial.laguerre.lag2poly(c)

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

numpy.asanyarray(a, dtype=None, order=None)

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