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

matrix.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this array

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

ndarray.__ifloordiv__ x.__ifloordiv__(y) <==> x//y

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

MaskedArray.dump(file) Dump a pickle of the array to the specified file. The array can be read back with pickle.load

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

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

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matrix.getA1()
  • References/Python/NumPy/Array objects/Standard array subclasses/numpy.matrix

matrix.getA1()

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

recarray.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of

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

static ndarray.__new__(S, ...) ? a new object with type S, a subtype of T

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

MaskedArray.__ifloordiv__(other)

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