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

ndarray.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of a at the

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

ndarray.byteswap(inplace) Swap the bytes of the array elements Toggle between low-endian and big-endian data representation

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

ndarray.flags Information about the memory layout of the array. Notes The

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

ndarray.__and__ x.__and__(y) <==> x&y

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

ndarray.any(axis=None, out=None, keepdims=False) Returns True if any of the elements of a evaluate to True.

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

ndarray.real The real part of the array. See also

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

ndarray.ndim Number of array dimensions. Examples >>>

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

ndarray.__add__ x.__add__(y) <==> x+y

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

ndarray.resize(new_shape, refcheck=True) Change shape and size of array in-place.

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

ndarray.__abs__() <==> abs(x)

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