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

ndarray.prod(axis=None, dtype=None, out=None, keepdims=False) Return the product of the array elements over the given axis

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

ndarray.reshape(shape, order='C') Returns an array containing the same data with a new shape. 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.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.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.
  • References/Python/NumPy/Array objects/The N-dimensional array

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

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

ndarray.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of

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

ndarray.__reduce__() For pickling.

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

ndarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of the

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

ndarray.__hex__() <==> hex(x)

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