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.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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generic.real
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.real real part of scalar

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

matrix.newbyteorder(new_order='S') Return the array with the same data viewed with a different byte order. Equivalent

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recarray.flatten()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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recarray.nbytes
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.nbytes Total bytes consumed by the elements of the array. Notes Does not include

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generic.argsort()
  • References/Python/NumPy/Array objects/Scalars/numpy.generic

generic.argsort() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from,

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

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

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recarray.dtype
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.recarray

recarray.dtype Data-type of the array?s elements.

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