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

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

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

ndarray.__sub__ x.__sub__(y) <==> x-y

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

ndarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

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

ndarray.dot(b, out=None) Dot product of two arrays. Refer to

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

ndarray.__divmod__(y) <==> divmod(x, y)

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

ndarray.__le__ x.__le__(y) <==> x<=y

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

ndarray.__floordiv__ x.__floordiv__(y) <==> x//y

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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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