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

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

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matrix.argsort()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.argsort(axis=-1, kind='quicksort', order=None) Returns the indices that would sort this array. Refer to

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dtype.
  • References/Python/NumPy/Array objects/Data type objects

dtype.__reduce__()

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__rsub__(other)

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

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

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__xor__ x.__xor__(y) <==> x^y

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__imod__ x.__imod__(y) <==> x%=y

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

ndarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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MaskedArray.
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.__pow__(other)

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

ndarray.__reduce__() For pickling.

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