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

ndarray.__mod__ x.__mod__(y) <==> x%y

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

ndarray.copy(order='C') Return a copy of the array.

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

ndarray.__imul__ x.__imul__(y) <==> x*=y

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

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

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

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

ndarray.__array__(|dtype) ? reference if type unchanged, copy otherwise. Returns either a new reference to self if dtype

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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.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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