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

ndarray.base Base object if memory is from some other object. Examples The base of an array

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

ndarray.min(axis=None, out=None, keepdims=False) Return the minimum along a given axis. Refer to

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

ndarray.__ne__ x.__ne__(y) <==> x!=y

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

ndarray.ravel([order]) Return a flattened array. Refer to

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

ndarray.item(*args) Copy an element of an array to a standard Python scalar and return it.

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

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

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

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

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

ndarray.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

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

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

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