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

numpy.trace(a, offset=0, axis1=0, axis2=1, dtype=None, out=None)

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

numpy.issubsctype(arg1, arg2)

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

numpy.tril_indices_from(arr, k=0)

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ndarray.flatten()
  • References/Python/NumPy/Routines/Array manipulation routines

ndarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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

RandomState.choice(a, size=None, replace=True, p=None) Generates a random sample from a given 1-D array

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

numpy.ma.squeeze(a, axis=None)

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

numpy.dsplit(ary, indices_or_sections)

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

RandomState.noncentral_chisquare(df, nonc, size=None) Draw samples from a noncentral chi-square

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

numpy.ma.flatnotmasked_contiguous(a)

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numpy.vander()
  • References/Python/NumPy/Routines/Array creation routines

numpy.vander(x, N=None, increasing=False)

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