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

ndarray.view(dtype=None, type=None) New view of array with the same data.

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

recarray.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of a at the

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

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

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

matrix.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect.

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

ndarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect

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

generic.nbytes length of item in bytes

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

recarray.byteswap(inplace) Swap the bytes of the array elements Toggle between low-endian and big-endian data

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

matrix.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer

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

ndarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast to a specified type.

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

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

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