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

matrix.dot(b, out=None) Dot product of two arrays. Refer to

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

class numpy.ndarray

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

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

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

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

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

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

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

ndarray.__setstate__(version, shape, dtype, isfortran, rawdata) For unpickling.

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

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

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

ndarray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer

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

record.dtype dtype object

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

recarray.tofile(fid, sep="", format="%s") Write array to a file as text or binary (default). Data is always written

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