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

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

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ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__float__() <==> float(x)

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ndarray.nonzero()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.nonzero() Return the indices of the elements that are non-zero. Refer to

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generic.
  • References/Python/NumPy/Array objects/Scalars

generic.__array_wrap__() sc.__array_wrap__(obj) return scalar from array

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ndarray.std()
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements along

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

matrix.view(dtype=None, type=None) New view of array with the same data.

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

matrix.ravel(order='C')

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generic.view()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.view() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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generic.max()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.max() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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ndarray.nbytes
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include

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