MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__rshift__ x.__rshift__(y) <==> x>>y

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ndarray.T
  • References/Python/NumPy/Routines/Array manipulation routines

ndarray.T Same as self.transpose(), except that self is returned if self.ndim < 2. Examples

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

numpy.vstack(tup)

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class.
  • References/Python/NumPy/Array objects

The

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

numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see

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

RandomState.negative_binomial(n, p, size=None) Draw samples from a negative binomial distribution

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matrix.std()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.std(axis=None, dtype=None, out=None, ddof=0)

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

numpy.ma.apply_along_axis(func1d, axis, arr, *args, **kwargs)

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

MaskedArray.shrink_mask()

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

numpy.ma.flatnotmasked_contiguous(a)

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