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

ndarray.round(decimals=0, out=None) Return a with each element rounded to the given number of decimals.

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

ndarray.__oct__() <==> oct(x)

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

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

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

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

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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

2025-01-10 15:47:30
ndarray.
  • References/Python/NumPy/Array objects/The N-dimensional array

ndarray.__int__() <==> int(x)

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

ndarray.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string back to

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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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