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

ndarray.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

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

ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

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

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

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

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

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

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

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

ndarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to

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

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

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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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