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

ndarray.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2 interchanged

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

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

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

ndarray.ctypes An object to simplify the interaction of the array with the ctypes module. This attribute creates

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

ndarray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in a to maintain

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

ndarray.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load or numpy

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

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

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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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