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

recarray.sort(axis=-1, kind='quicksort', order=None) Sort an array, in-place.

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

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

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

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

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matrix.T
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.T Returns the transpose of the matrix. Does not conjugate! For the complex conjugate transpose, use

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

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

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dtype.alignment
  • References/Python/NumPy/Array objects/Data type objects

dtype.alignment The required alignment (bytes) of this data-type according to the compiler. More information

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MaskedArray.strides
  • References/Python/NumPy/Array objects/Masked arrays/Constants of the numpy.ma module

MaskedArray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset

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

matrix.sum(axis=None, dtype=None, out=None)

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

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

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

record.strides tuple of bytes steps in each dimension

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