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

MaskedArray.__div__(other)

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

recarray.std(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the standard deviation of the array elements

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

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

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

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

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

matrix.shape Tuple of array dimensions. Notes May be used to ?reshape? the array, as long

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

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

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

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

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

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

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

generic.__array_priority__ Array priority.

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

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

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