record.setflags()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

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

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

ndarray.cumprod(axis=None, dtype=None, out=None) Return the cumulative product of the elements along the given axis.

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record.size
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.size number of elements in the gentype

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numpy.ma.swapaxes()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.swapaxes(self, *args, **params) a.swapaxes(axis1, axis2) = Return a view of the array with axis1 and axis2

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

matrix.argmax(axis=None, out=None)

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record.max()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.record

record.max() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

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

ndarray.__sub__ x.__sub__(y) <==> x-y

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

matrix.partition(kth, axis=-1, kind='introselect', order=None) Rearranges the elements in the array in such a way that

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numpy.ma.ravel()
  • References/Python/NumPy/Routines/Masked array operations

numpy.ma.ravel(self, order='C') = Returns a 1D version of self, as a view.

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

ndarray.__getslice__ x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported.

2025-01-10 15:47:30